Understand Q. Explained simply.

Q is an AI assistant that keeps track of and completes tasks. Q identifies what will matter, brings together the information needed and carries out what Q is allowed to do on its own within the agreed scope. When your judgment matters, Q brings you in.

Q is designed for people in their personal lives as well as for self-employed professionals, teams and companies. The aim is for you to spend less time keeping track, searching, following up and coordinating—without giving up responsibility.

You should have to spend less time keeping track, searching and following up. Q keeps track of important tasks, carries out permitted steps and brings you in when your judgment matters.

This creates more room for what truly needs your attention—in daily life as well as at work.

Q is designed for people, teams and companies that want to keep reliable track of important matters without having to follow up on everything themselves.

This may include private individuals, school pupils, university students, self-employed professionals, employees, teams, managers or entire companies. The extent of the rules, integrations and evidence grows with the responsibility and risk of the use case.

Q is designed for both contexts. In your personal life, Q can help with daily routines, appointments, deadlines and personal tasks. At work and in a company, Q can take on operational tasks and involve people where experience or decisions matter.

The basic idea remains the same; requirements, data access and the scope for action vary by use case.

Q can be explained through four capabilities: Understand, Move, Safeguard and Strengthen.

• Understand: Q identifies needs, signals and relationships.
• Move: Q advances tasks and carries out permitted steps through to completion.
• Safeguard: Q takes rules, permissions, checks and evidence into account.
• Strengthen: Q protects focus and brings in people where their experience or judgment matters.

Q is not merely a chatbot, a to-do list or rigid automation. Nor should Q make uncontrolled decisions or replace human responsibility.

Q combines attention, context, execution, rules, evidence and human judgment into a common way of working.

Q thinks along with you, but not for you. Q structures information, identifies relationships and prepares next steps or options.

You define which decisions Q may make or carry out on its own through the scope for action. Where your judgment matters, Q brings you in.

You should have to carry less of the operational attentional burden yourself. Important work is identified, permitted work is completed and, when your judgment matters, Q brings you in with the case prepared.

This creates more room for decisions, customers, learning, relationships, leadership and focused work.

Q works only with the information and permissions, and within the scope for action, defined for the task in question.

If information is missing, something lies outside this scope or human judgment is required, Q does not simply continue; Q brings in a person or stops.

Q identifies what will matter and brings tasks to completion within the agreed scope—without you having to initiate every step yourself.

In doing so, Q combines attention, context, execution, rules, evidence and human judgment.

Because work does not begin only when you ask a question. Appointments, deadlines, unanswered messages and processes become relevant on their own. Q is intended to notice this and initiate the next permitted step rather than wait for your next prompt.

A chat remains one possible way to access Q. But it is not a prerequisite for Q to become attentive.

For Q, proactive means that Q notices when something is becoming important and initiates the next permitted step, without you having to remember it or formulate a request every time.

Q should not constantly interrupt you in the process. Things that can wait can be grouped together. When your judgment matters, Q brings you in.

AI can already understand and prepare a great deal. In day-to-day work, however, people are often still left to keep track of tasks, find the relevant information and actually complete the next step. That is precisely where Q comes in.

Because good answers alone are not completed work. Q keeps track of tasks, brings together the context needed and carries out permitted steps across applications through to completion.

Existing AI features can remain part of the solution. Q complements them by operationally connecting the task, applications, rules, evidence and human judgment.

ChatGPT is a general-purpose assistant for conversations, analysis and content. Q is designed to keep track of tasks and take permitted work through to completion.

Q can use existing AI capabilities, but does not merely wait for a prompt: Q can identify relevant signals, bring context together, carry out steps and document outcomes in a traceable way.

Q does not categorically replace these AI offerings. Q is intended to coordinate work across system boundaries while combining rules, approvals and traceable outcomes within a common execution framework.

No. Q can use existing AI features and incorporate their outputs into a controlled workflow that spans systems.

Custom AI agents are possible. The real effort, however, is not the first successful demo; it lies in integration, rules, permissions, exceptions, operations and evidence. Q is intended to provide this recurring foundation as a product.

An agent-building toolkit provides tools for building. Q is intended to provide the common product foundation for delegating and carrying out tasks in a controlled manner and completing them with traceable results.

The starting point is not the agent, but the outcome: What needs to be completed, which rules apply, which systems are required and when does a person take over?

Conventional automation is strong at stable, predefined processes. In addition, Q can take context, missing information and different routes into account and choose the next step within the agreed scope for action.

Where a fixed process is sufficient, conventional automation remains useful. Q is particularly relevant where work cannot be fully specified in advance.

No. What matters is not only that Q can work across applications, but how Q brings work to completion.

Q identifies what will matter, brings together the context needed, carries out permitted steps, takes rules and permissions into account and brings in people when their judgment matters.

A single AI agent usually solves a limited task. Q provides the common working logic in which tasks, applications, rules, evidence and human decisions work together.

This allows different tasks to build on the same product foundation instead of creating a new isolated solution for every use case.

Q is intended to build on reusable product components, integrations and rules. Successful tasks can be transferred to additional users, teams, systems or industries.

Scaling is not automatic, however. It requires robust integrations, operations, security and demonstrated customer value.

Q identifies an important task or receives an assignment, brings together the context needed, plans the path to completion, checks rules and permissions, carries out permitted steps and brings you in when uncertain or when human judgment matters.

• Q identifies an important task or receives an assignment.
• Q brings together the objective, context and approved information.
• Q plans the necessary steps according to the situation.
• Q checks rules, permissions and conditions.
• Q carries out permitted steps or involves a person when uncertain or faced with important decisions.
• Q documents the outcome in a traceable way.

The personal task radar shows what needs your attention—across approved messages, appointments, documents and systems.

For example, Q identifies deadlines, unanswered messages, pending decisions or blocked processes and helps move them forward in good time.

Q uses approved data and signals such as appointments, deadlines, messages, task statuses, rules and personal or organizational priorities.

Importance is not the same as urgency. Q should also identify which tasks affect other people, costs, risks or subsequent steps.

Q does not consider only a single sentence or date. Q takes into account the information approved for the task: earlier messages, documents, rules, appointments, process statuses or responsibilities.

This allows Q to explain why something is important and which next step appears appropriate.

Yes. Q can remember approved relationships that remain important to a task over time.

Which information is stored, updated or deleted, and how long Q may use it, is defined to suit the use case.

Q breaks an objective down into the steps required for the situation and takes current data, rules, systems and potential exceptions into account.

The process does not always have to be pre-programmed as a rigid chain. Q can derive a suitable route from the objective and context—within permitted boundaries.

An execution path at runtime means that Q adapts the path to completion to the current situation.

If information is missing or a system is unavailable, Q should not blindly continue along an incorrect chain. Q can choose an approved alternative route, ask a question or prepare a decision package.

Conventional automation and RPA are strong when a process is stable and fully predictable. If reality changes, rigid chains can break or require extensive maintenance.

Q combines flexible contextual understanding with controlled execution. Rules and evidence remain in place even though the specific route may depend on the situation.

Q should not guess or continue without control. Depending on the agreed scope, Q can request missing information, choose a permitted alternative route, involve a person or stop the process. Such a contingency path is part of the way Q works and is not improvised only after an error.

A decision package brings together the information, options and open points a person needs to make a decision.

Instead of asking many separate questions, Q can present the case in a prepared form so that the person can make a focused decision.

Q is the operating system for AI delegation because it brings together information, applications and rules for a task. Q carries out permitted steps within the defined scope for action and involves people when uncertain or faced with important decisions.

This turns a task into a process completed in a traceable way.

Q combines context, attention, planning, checks and execution into a common way of working.

Q brings together the information and applications needed for a task, checks rules and permissions, carries out permitted steps and makes relevant outcomes traceable.

You or your organization decide what Q is allowed to do. The task, data access, systems, permissions, approvals and boundaries are defined to suit the use case.

This includes approved data and systems, permitted actions, checking rules, amount or risk limits, responsibilities and situations in which a person must decide.

You define which information Q may use, which rules apply and what Q may do on its own. As long as Q can sensibly continue working within this scope, Q acts independently. When uncertain or faced with important decisions, Q brings in the person responsible.

Q-Receipts make relevant checks, decisions and outcomes traceable.

No. Q can take steps on its own within the defined scope. Approval is required where it has been specified for the task or where uncertainty or an important decision requires human judgment.

For Q, human-in-the-loop means that people are involved precisely where their judgment, responsibility or a defined approval is required.

Q should not turn people into permanent checkpoints. When a decision is needed, Q prepares the case so that the person can make a focused decision.

Guardrails are boundaries for Q. They determine which data, actions and decisions are permitted and when Q must stop, ask a question or escalate.

In customer-facing language, Q uses the simplest possible terms: rules, permissions, checks and approvals.

A deviation does not automatically lead to an approval. Q first checks whether it can sensibly continue working within the agreed scope for action.

If that is not clearly possible or human judgment matters, Q brings in the person responsible.

Responsibility does not disappear through the use of Q. Organizations and responsible individuals must define which decisions may be delegated and who is responsible for rules, approvals and operations.

Q supports responsibility through clear boundaries, traceable steps and documented outcomes.

There is no general answer to this. Liability depends on the specific use, the parties involved, the contracts and the applicable law.

Clear responsibilities, limited permissions and Q-Receipts can make it traceable who initiated, checked or approved what. They do not replace a legal assessment.

Yes. Like other AI and software systems, Q can make mistakes.

For this reason, permissions and the scope for action are limited, relevant checks are defined and important actions are documented in a traceable way. Where Q cannot safely continue working within the agreed scope, Q brings in a person or stops.

The checks required are defined for the task. They may cover completeness, plausibility, duplicates, contracts, pricing rules, permissions, budgets or approval limits.

The intended step may be carried out only if the necessary conditions are met.

A Q-Receipt is an easy-to-understand record of what Q has checked and completed.

It can show the basis on which Q acted, which checks were carried out, whether a decision or approval was required and what outcome was produced.

A Q-Receipt can summarize the information important to an action, from the assignment through to the outcome.

• assignment or objective
• action taken
• relevant checks
• decision, approval or escalation, if required
• outcome in the target system
• rationale for why the action was permitted

The exact scope depends on the task, risk and evidence requirements.

No. A technical audit log records technical events. A Q-Receipt additionally translates key steps into an understandable business record.

The two can complement each other: technical logging for operations and security, and Q-Receipts for people, responsibility and internal controls.

Q-Receipts are intended particularly for write actions and other relevant steps. The level of detail required in the record depends on the task and risk.

Human approval is part of the Receipt only if it was required for the specific action.

Q can support internal controls and audits by documenting relevant rules, checks, decisions and outcomes in a traceable way.

Whether a specific record meets formal review requirements must be agreed with the responsible specialist, compliance and audit functions.

That depends on the specific use. If Q is technically capable of recording or analyzing information about employee conduct or performance, co-determination under Section 87(1) No. 6 of the German Works Constitution Act may be relevant.

For other uses involving employee data or affecting workflows, data protection, purpose, data, analyses and responsibilities should also be clarified transparently at an early stage.

Q is not designed as a tool for covert monitoring or automated performance assessment of employees.

Whether a specific use allows conclusions to be drawn about conduct or performance depends on its purpose, configuration, the data used and the features involved. Use must therefore be transparent, limited to the defined purpose and restricted to the data required. As soon as employee data or performance and conduct monitoring are involved, data protection and co-determination must be reviewed and taken into account at an early stage.

Q may only use data and sources approved for the use case. Within that access, Q should only use information relevant to the specific purpose.

Technical access does not automatically mean that every piece of information may be used for every task.

Purpose limitation means that data is used for a clearly defined task—not collected pre-emptively for any other purpose.

For a service case, a customer message, the case, the calendar and service documentation may be relevant, for example. The agreed purpose determines which information Q actually processes.

Roles and permissions determine who may view information, permit actions or make decisions.

For larger-scale use of Q in companies, central governance and clearly regulated access are among the requirements.

As scale and risk increase, central user management, roles and permissions, secure login, logging, monitoring, quality checks and controlled integrations become more important.

Which of these requirements are necessary for a specific use is defined to suit the task, data and risk.

Data storage and deletion must be governed to suit the purpose, legal basis and use.

Q should not collect information indefinitely. Which data is stored for how long, which contexts Q may retain and when something is deleted must be defined transparently.

Only if Q needs the application for your desired task. You decide which systems and information Q may use.

Calendar access may be useful for appointment reminders, but not for other tasks. Each connection is limited to its purpose, the data required and the permitted actions.

Q is designed to limit data access to the agreed purpose, approved sources, and appropriate roles and permissions.

Storage locations, providers involved, deletion, logging and security measures must be reviewed transparently for the specific use. A blanket security assurance without this review would be irresponsible.

There is no general answer that applies to every future use. Storage locations and the providers involved depend on the specific technical and contractual solution.

Before use, data flows, storage locations, subprocessors, access and deletion must be clarified transparently.

The model and provider should be selected to suit the task. Criteria include quality, data protection, security, speed, availability and cost.

Q does not place a single model brand at the center of the product. What matters is which intelligence is suitable and permitted for the assignment.

Q is designed in principle to support the integration of different models. This does not mean that every model is available at all times or suitable for every task.

The specific choice depends on the architecture, integration, contract, data protection and quality requirements.

For business use, quality checks, logging and monitoring form part of controlled operations.

This makes it possible to check whether actions are carried out correctly, rules take effect and unusual events occur. The controls required depend on the specific use.

For professional use, there must be rules for how unusual or security-relevant events are identified, contained, documented and handled.

Specific processes, responsibilities and response routes form part of each introduction and must not be replaced by general marketing statements.

For Q, European by Design means that data protection, information security, identities and permissions, traceability, and choice of model and provider are considered from the outset to suit the use case.

The GDPR, the EU AI Act, and the principles of ISO/IEC 27001 and ISO/IEC 42001 provide guidance. Q transparently states the current implementation and certification status.

A blanket assurance of GDPR compliance without a specific use case would be irresponsible. Data protection compliance depends, among other things, on the purpose, types of data, legal basis, processing on behalf of a controller, access, storage locations and deletion periods.

Q is being developed from the outset for data-protection-conscious use in Europe. The specific implementation and its status must be reviewed transparently for each use case.

The EU AI Act follows a risk-based approach. Which requirements apply depends on the specific use of Q.

Q is designed to support human oversight, clear responsibility, documentation, quality checks and traceable actions. A blanket claim of compliance without assessing the use case would be incorrect.

Depending on the use, the product description, data flow, roles and permissions concept, data processing arrangements, technical and organizational measures, subprocessors, deletion concept, security information and operating conditions may be relevant.

The documents required for the specific use are clarified during the procurement and review process.

Professional use requires clear rules for export, retention and deletion after the contract ends.

The specific exit arrangements must form part of the technical and contractual agreement; they must not be clarified only at the end.

Q is designed to take work off people's hands—not to replace jobs across the board.

How roles, tasks and staffing needs change is an organizational decision. Q's approach aims to reduce routine work and follow-up and create more room for judgment, learning, relationships, leadership and demanding work.

Employees gain focus because they spend less time searching for information, following up on tasks and coordinating recurring checks.

The benefits must not accrue only to the company. A good introduction also shows employees which burdens are reduced, which responsibilities remain and which capabilities are strengthened.

Human Leverage means that Q takes routine work and follow-up off people's hands, giving them more room for what people do better—judgment, learning, relationships, leadership, experience and creativity.

Q protects focus by grouping non-critical tasks and preparing decisions instead of interrupting people with every detail.

Time gained can be deliberately reserved for focused work or customer care. Non-critical work can be grouped, postponed or paused outside appropriate working hours.

For complex steps, Q can explain in understandable terms why something is being proposed or carried out and which rule underpins it.

Learning then takes place directly within the real task. Recurring complex cases can also prompt mentoring or review.

Q can support learning and mentoring when a task would clearly benefit from experience or a review.

Q can then suggest a discussion or review. Recognition and assessment remain human leadership responsibilities.

If a situation is sensitive or emotional, or lies outside the scope that can be automated, Q limits the automation and involves the appropriate person.

Q can prepare the relevant context so that a person takes over not only after an escalation, but when empathy or judgment is required.

People can respond to customers earlier and better prepared because Q makes open issues, relationship context and time-critical signals visible.

The aim is not to automate human communication, but to create more room for personal, understandable and solution-focused customer contact.

Decisions remain human where human judgment, responsibility or approval is specified for the use case in question.

People define objectives, rules and the scope for action. Q can prepare decisions and act within the agreed scope; where experience, empathy or responsible judgment is required, Q brings in the person responsible.

Q should not only deliver finished outcomes. Explanations, traceable steps, reviews and deliberate human decisions keep knowledge and judgment visible.

Whether deskilling is actually prevented also depends on leadership and work design. Q can support these objectives, but cannot guarantee them through technology alone.

Q can make operational burdens, missing information and blockages visible, and take on routine work and follow-up.

This creates more room for prioritization, coaching, recognition, decisions and collaboration.

Acceptance develops when teams experience a concrete benefit, understand the boundaries and are involved early—not through a technology announcement.

Teams should understand what Q does, which data is used, when people decide and how errors or feedback are handled.

Yes. Q is designed for people, not only for companies. In a personal context, Q can help you keep track of appointments, deadlines, messages, documents and personal tasks.

Personal users do not need to know specialist terms such as 'Q-Case'. The starting point is a task or an area of daily life that should run more reliably.

Q helps you distinguish important matters from less urgent ones. To do this, Q brings together appointments, open tasks and time-critical items into an easy-to-understand view of your day.

Yes. Appointment reminders are a typical example of support in personal life. Q can remind you in good time and—if the necessary information has been approved—point out documents, travel arrangements or a response needed in advance.

Q does not provide medical advice. This is about organization and preparation.

Yes. Q can identify deadlines in approved messages, documents or calendars and show in good time what needs to be prepared, decided or submitted.

Yes. Q can classify personal emails and documents, summarize important information, identify deadlines and prepare next steps.

Whether Q then sends, enters or forwards something depends on the approved features and rules. Sensitive or unusual decisions remain with people.

Q helps school pupils and university students keep track of learning material, exams, assignments and deadlines and plan realistic next steps.

Q should support learning, not replace it. Students still need to do their own work, check sources and use AI responsibly.

Yes. Q can create a realistic learning plan based on learning objectives, dates and available time and adapt it when circumstances change.

A good learning plan remains realistic: it takes breaks, backlogs and new appointments into account instead of simply squeezing more tasks into the day.

Q should use only information that is necessary and approved for the task in question.

An appointment reminder requires different data from preparing a message. The purpose, access, storage and permitted actions must therefore be limited to suit the task.

Only within the framework you define. You decide which information Q may use and which steps Q may take on its own.

Depending on the task, Q sends a reminder, prepares something or carries out a permitted step. When uncertain, in sensitive situations or for important decisions, Q brings you in.

Q takes on operational work and brings tasks through to completion. To do this, Q can involve the information, applications and AI features needed, and bring in people where experience or decisions matter.

Q can take on reminding, checking, following up, coordinating and documenting, and can carry out permitted steps on its own. What Q takes on is defined for each task.

The specific scope for action depends on the task, data, systems, permissions and risk.

A Q-Case is a specific task where Q can noticeably reduce your or your team's workload in day-to-day work.

Tasks are particularly interesting when similar steps recur, information is spread across several places, people have to remind, ask or check, or human judgment matters for exceptions. Not all four points need to apply.

Look for a task where at least one of the following signals is clear: similar steps recur; information is spread across several places; you have to remind, ask or check; your judgment matters for exceptions.

The more of these apply, the more worthwhile a closer look becomes. In a Meet Q session, we then clarify how much effort the task requires today, what Q can take on and how you will measure the impact.

No. Q is intended to start with a clearly bounded task and the applications already in place.

Processes, rules or access are adapted only where necessary for the specific task.

Q is a product. The initial setup is adapted to your specific task and the applications, data and rules required.

You do not have to build a separate AI solution from scratch for every Q-Case. Setup, integration and responsibilities are defined to suit the use case.

No. Self-employed professionals, small businesses, teams and larger organizations can begin with a specific task.

As use grows, additional requirements become more important: identities, permissions, central governance, monitoring or quality control.

Yes, if the applications needed are connected and the required permissions are configured.

Q is designed to keep information and steps together across team and application boundaries for a specific task—without replacing existing systems.

Q can include existing applications and data sources if a suitable connection and the required permissions are in place.

The systems used in a specific Q-Case are defined during setup.

Yes, if the corresponding connection and the necessary permissions for the task are configured. Q can carry out defined write actions, such as changing a status, adding an appointment or updating a record.

Which fields and actions are permitted, which checks apply and when approval is required are defined in advance. Relevant actions are documented in a traceable way.

When reading, Q uses information to understand a process. When writing, Q changes a state—for example, a status, an appointment, a record or an entry.

Write actions therefore require stricter rules, permissions, checks and evidence than information queries alone.

Q's impact is measured for the specific Q-Case against the current state—for example, in terms of manual effort, lead time, rework or open processes.

Depending on the task, errors, service quality, exceptions, avoided risks or released capacity may also be relevant.

Economic value can arise when Q reduces manual effort and thereby releases capacity. Shorter lead times, less rework, better quality or avoided risks may also be economically relevant.

A robust business case compares the current effort with a transparent impact assumption. The actual impact is measured for the Q-Case; released capacity is not automatically a direct cost saving.

What proves effective in one Q-Case can be transferred to additional tasks, users or teams.

Q is intended to grow on the same product foundation. As the scope increases, so do the requirements for central governance, permissions, monitoring and quality—not the need to start from scratch every time.

Q can keep track of service cases, identify missing information, monitor deadlines and carry out permitted next steps.

To do this, Q can bring together approved information from email, ticketing systems, CRM, ERP and other applications. If a situation lies outside the agreed scope for action or human judgment matters, Q prepares the case for the right person.

Yes. If the relevant deadline and status data has been approved, Q can keep track of SLA deadlines, flag potential breaches and initiate agreed next steps.

The deadlines, warning thresholds and actions that apply are defined for each task.

Q can keep track of open opportunities, customer inquiries, quotes, deadlines and next steps, and support follow-up.

To do this, Q can bring together approved information from email, CRM, calendars, documents and other applications, identify missing information and prepare or carry out permitted next steps.

Q can keep tasks, content, schedules and approvals together and prepare next steps.

To do this, Q can bring together approved information from briefs, email, project and content systems and other applications, make missing contributions or approvals visible and document agreed steps. Creative, strategic and sensitive publishing decisions remain with people.

Q can bring together customer feedback, decisions, dependencies and deadlines and keep track of open points.

To do this, Q can bring together approved information from service, sales, development, user research and product tools, prepare decision packages and follow up on open points. Product strategy and major prioritization decisions remain with the people responsible.

Q can keep track of recurring tasks, checks and handovers and complete permitted steps on its own.

To do this, Q can bring together approved information from email, calendars, ERP, documents and specialist applications. If the agreed scope for action is insufficient, Q brings in the person responsible.

Q can make dependencies, risks, deadlines, open actions and blocked decisions visible.

To do this, Q can bring together approved information from planning, ticketing, document and communication systems, prepare decision materials and follow up on agreed steps. Responsibility for priorities, budgets and major decisions remains with the people responsible.

Q can keep track of deadlines, checks, approvals and deviations, bring together information and carry out permitted commercial steps.

For entries, payments and other critical actions, permissions, checks and, where necessary, approvals are defined to suit the task. Relevant steps can be documented in Q-Receipts in a traceable way.

Procurement teams keep track of requests, quotes, approvals, contracts and open actions. Q brings information together and prepares next steps.

Q can bring together approved information from ERP, email, contract and procurement systems, prepare comparisons and decision packages and document agreed steps. Supplier selection, negotiation and legally relevant decisions remain with the person responsible.

Q can keep track of delivery dates, deviations and necessary follow-up steps and advance permitted actions.

To do this, Q can bring together approved information from ERP, logistics, planning and communication systems, make deviations visible and document relevant actions. Physical checks and decisions outside the agreed scope for action remain with people or the systems intended for them.

Q can keep track of checks, deviations, evidence and corrective actions and support the next permitted steps.

Q can bring together approved information, identify missing evidence, check defined criteria and follow up on actions. Physical inspection and specialist assessment remain with people or the testing systems intended for them where required.

Not without the technical sensors or testing systems intended for this purpose. Q can bring together information, test criteria, deviations and evidence and support the inspection process.

Whether a product, component or process physically meets the requirements must be determined by people or suitable technical testing systems.

HR teams gain time for people because Q keeps track of and prepares administrative tasks, deadlines, handovers and open steps.

Q can bring together approved information from HR, learning, calendar and communication systems for the defined purpose, reduce routine work and support people in decisions. Sensitive personnel decisions, assessments and conversations remain with people and are subject to transparency, data protection and co-determination.

Q can keep track of tickets, incidents, deadlines and missing information and carry out permitted next steps.

To do this, Q can bring together approved information from ticketing systems, monitoring, documentation and communication. Security-critical changes and privileged access are limited by the defined scope for action.

Data requests, quality measures and approvals remain moving forward in a traceable way. Q makes missing information and open tasks visible.

Q can bring together approved information from the data catalogue, tickets, documentation and source systems for the defined purpose, make missing information or quality issues visible and document permitted steps. Specialist data responsibility, access permissions and deletion rules remain clearly defined.

Q can take routine work and follow-up off the hands of self-employed professionals and small businesses, leaving more time for customers and the core business.

Q can keep track of appointments, inquiries, quotes, invoices and recurring tasks. The starting point is a clearly bounded task; the data, systems and actions Q uses are defined to suit the need.

Start with a task that currently costs unnecessary time or attention. Recurring steps, scattered information, constant follow-up or cases where your judgment matters for exceptions are particularly interesting.

Together, we clarify how much effort the task requires today, what Q can take on and how you will measure whether it improves.

In a Meet Q session, we examine a specific task. In 30 minutes, we clarify: Where should you start? How much effort does the task require today? Which parts can Q take care of? How will we measure whether it improves?

That depends on the task, data, integrations, rules and operating requirements. A simple personal task requires less preparation than a write action in a regulated business system.

Q should be able to start small; however, stating a general introduction timeline without a specific use case would be irresponsible.

Not for simple, prepared tasks. However, as soon as Q processes sensitive data or accesses business-critical systems, a technical and organizational review is required—internally or with suitable support.

A business case shows the potential of a specific Q-Case. It compares the current manual effort, a transparently identified impact assumption and the capacity that would be released based on the calculation.

An example calculation is not a guarantee of results. The actual impact is measured for the Q-Case; released capacity is not automatically a direct cost saving.

The price depends on the task, usage, integrations and operating requirements. This is why the website does not state a flat price.

No. Q can also create economic value through higher quality, shorter lead times, fewer errors, better service and avoided risks.

The value also lies in giving people more time for decisions, customers and demanding work.

The initial phase produces a clear result, measurable criteria and a bounded scope for action. A decision then follows: expand, adapt or stop.

What proves effective for one task can be transferred to additional tasks, users or teams.

Q is intended to grow on a common product foundation. For larger deployments, central governance, permissions, monitoring and quality control are added to suit the need.

Q cannot technically enforce acceptance. A good introduction requires clear objectives, understandable roles, involvement of the people affected, training and visible benefits.

Q's approach supports this through traceable decisions, explanations within the work process and a step-by-step start.

Q by QTRflow is the joint product project of Marcel Machoni and Florian Kölsch.

Florian Kölsch and Marcel Machoni are entrepreneurs who want to make a difference. They combine entrepreneurial and technological experience with a deep understanding of complex management, process and system landscapes.

Florian Kölsch and Marcel Machoni combine entrepreneurial and technological experience with a deep understanding of complex management, process and system landscapes.

They know the challenge of introducing new technology into organizations in a way that genuinely works and has an impact in day-to-day operations. They are building Q precisely at this intersection.

You can book a meeting or send a message on the contact page. Q-Chat can also answer initial product questions.

If you would like to discuss a specific task, integration or introduction, a personal conversation is the right next step.

Q-Chat is not an LLM; it is a local knowledge base.

The Q-Pioneer Circle is the community of people who want to get to know Q early and accompany its development—personally, for their work or for their team and company. As a Q-Pioneer, you receive early insights, take part in Q-Pioneer sessions, can contribute your perspective and your own Q-Cases and—when the context and stage of development are suitable—experience or test Q early.

As a Q-Pioneer, you are involved earlier, before Q becomes commonplace. You experience Q at least once a month in Q-Pioneer sessions featuring specific applications, possibilities, limitations and questions. You can help shape the development, contribute your own Q-Cases and receive an initial personal assessment or the next questions from us within seven days. When the context and stage of development are suitable, you can also experience or test Q early.

No. A Q-Case is not a requirement for becoming a Q-Pioneer. You can first get to know Q, take part in Q-Pioneer sessions and contribute your own Q-Case later when you identify a suitable task.

Not automatically. If your context and Q's stage of development are a good match, we will invite you at an early stage to experience or test Q in specific applications.

Within seven days, you will receive an initial personal assessment from us or the questions we should clarify together.

You can sign up through the Q-Pioneer Circle on qtrflow.ai. You will then receive early insights and invitations to the next Q-Pioneer sessions.