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AI Coaching & Workflows

Build one AI workflow that saves time and keeps the critical decisions yours.

Bring a task you repeat, avoid, or cannot yet use AI for reliably. I help you define the outcome, map the current method, choose where AI earns a place, and build the prompts, checks, and documentation needed to run it with confidence.

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Recommended starting point

Personal AI Workflow Review

A 90-minute online session plus a short written next-step plan. We examine your current work, identify one realistic workflow, clarify risks, and define what to do next.

  • One real-task diagnostic
  • One mapped workflow with human checks
  • A concise written next-step plan
Individuals · beginner to intermediate
Launch rate€90Regular rate: €150
Why the rate is lower now

You receive the complete format and written plan. In return, I ask for structured private feedback that helps refine the service; public feedback is optional.

90 minutes + short plan
Look inside a first session and its takeaways

Illustrative agenda, adapted by agreement to your task. This is a planning example, not a guarantee that a project is solved in one session.

  1. 15 min · goal, existing approach and data boundaries
  2. 20 min · map one workflow and a useful baseline
  3. 30 min · work through and challenge one example
  4. 15 min · repeat the check with less guidance
  5. 10 min · next three actions and an owner

Bring an anonymised or synthetic example and the rules that apply. The agreed written plan records priorities and checks; ongoing implementation or unlimited support is not included unless separately agreed.

Inspect a sample plan and checklist

This is a good fit if…

  • You have one recurring or difficult task that AI does not yet handle reliably.
  • You want a method you understand, rather than a collection of disconnected prompts.
  • Your team needs shared rules for tools, privacy, checking, and responsibility.

What to bring

  • One real task and, if possible, an example of the current input and output.
  • The tools and licences you can actually use.
  • Any privacy, quality, approval, or organizational constraints.

What you leave with

  • A clear task definition and success criteria.
  • A mapped workflow showing where AI helps and where a person decides.
  • A concise written plan you can apply after the session.

Interactive process

A useful AI workflow begins with the work, not the tool.

Explore the stages and a worked example. Hover or focus to preview; click or tap to keep a stage selected.

A coach and client turn a real work challenge into a verified, human-owned AI workflow.
Selected stage · 01Define the outcome
Stage 1 / 5Pinned

Define the outcome

We identify the decision, document, analysis, or workflow you need to produce, then define what good looks like and when it is needed. Only then do we decide whether AI has a useful role.

Illustrative example · not client work

A weekly project update

Define the brief

A one-page update: decisions, open questions, owners, and next dates.

What this producesA clear aim and quality standard
Read all stages and examples
  1. Define the outcome

    We identify the decision, document, analysis, or workflow you need to produce, then define what good looks like and when it is needed. Only then do we decide whether AI has a useful role.

    Illustrative example: A one-page update: decisions, open questions, owners, and next dates.

    Result: A clear aim and quality standard

  2. Workflow diagnosis

    Together, we map the current steps, skill level, approved tools and licences, data sensitivity, quality risks, and how often the task repeats. This reveals what should stay human and what can be supported safely.

    Illustrative example: Use approved, non-sensitive notes. Keep decisions and commitments under human control.

    Result: Useful opportunities and hard constraints mapped

  3. Guided design

    We choose only useful AI touchpoints and connect them with prompts, human checks, and documentation. A repeatable design beats a collection of disconnected chats.

    Illustrative example: Group the supplied notes into decisions, questions, and actions. Mark missing owners; do not invent them.

    Result: A workable workflow draft

  4. Verification routine

    Outputs are tested against sources, assumptions, privacy requirements, and relevant rules. Reliable use depends on knowing when the model should not be trusted.

    Illustrative example: Match each action, date, and owner to its source. Resolve missing information before sharing.

    Result: A clear verification routine

  5. Human-owned plan

    You should be able to explain, run, adapt, and stop the workflow yourself. The tool may assist, but judgment, accountability, and final decisions remain human.

    Illustrative example: Save the brief, prompt, and checklist. Review the final update yourself each week.

    Result: A repeatable workflow you control

What we work on

Choose the format that matches who is doing the work.

Every project begins with an assessment. The right format then depends on whether one person needs a working method, a team needs shared rules, or a proven workflow should become reusable material.

Individual · one-task diagnostic

For one person and one concrete task. We assess the current method, privacy and quality requirements, then build one repeatable workflow with explicit human checks.

Small team · shared workflow diagnostic

For 2-6 people who need one common way of working. We assess roles, skill levels, approved tools, licences, hand-offs, and shared risks before designing the team method.

Optional follow-on · reusable workflow kit

After the diagnostic has proven the method, it can be translated into prompt templates, checklists, workflow notes, or carefully bounded support materials. This is scoped separately.

Capability ladder

For small teams: build from shared foundations to carefully bounded prototypes.

01

Understand AI

A broad introduction of about two hours can cover how language models work, prompting, hallucinations, verification, privacy, and limits.

02

Use AI

Move from isolated chats to repeatable, documented ways of working with ChatGPT, Claude, Microsoft Copilot, or another suitable environment.

03

Build your workflow

Combine task steps, human checks, reusable prompts, and realistic ownership so the workflow can survive beyond one session.

04

Agentic advisory

Feasibility reviews and guided prototypes only after scoping data, permissions, oversight, dependencies, maintenance, and failure modes.

Small-team launch rate from €350 · standard rate from €500For 2-6 people. A short assessment of roles, tools, licences, data, and constraints comes first; the final scope and price are confirmed before booking.

Questions before you decide

Clear answers, before the intake.

01Do I need previous AI experience?

No. The review can start with foundations or improve an existing workflow. The level is determined by your actual task, not by a generic course sequence.

02Which tools will we use?

Only tools that fit the task and that you can legitimately access, such as ChatGPT, Claude, Microsoft Copilot, or another approved environment.

03How does a team engagement differ?

Every team starts with a short assessment of roles, skill levels, tools, licences, data, and risks. The shared session and final price are confirmed after that assessment.

04Can you build an autonomous agent for us?

Advanced work begins with feasibility, oversight, permissions, maintenance, and failure modes. Advice and guided prototypes can be scoped; open-ended production-agent promises are not offered.

A grounded next step

Start with the outcome you need.

The short intake identifies the aim, constraints, and right format before any paid work begins.

Request a fit call