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[ AI Strategy & Integration ]

Integrate AI into business processes

I start from a real problem, compare the current process with an AI-assisted version, and continue only when quality, time, and ownership can be verified. The result is one priority case with defined data, controls, and metrics.

Map of processes and where AI can create value
Impact/feasibility matrix
30-60-90 day roadmap
Documented workflow architecture
Usable workflow or verifiable prototype, defined before work starts
Operating playbook, governance, and adoption metrics

Companies that experimented but did not adopt

You already use AI tools, but without process, ownership, control, and return criteria.

Overloaded operations teams

You lose hours on repetitive tasks, analysis, reports, or manual handoffs.

Founders and digital leaders

You want to move from idea to real workflow, not another presentation.

Sound familiar? Send me the context and I'll tell you whether starting here makes sense.

Map the use cases
  1. 01

    Where AI can improve the work

    I map processes, roles, tools, data, bottlenecks, and hidden costs where AI can reduce friction or improve quality.

  2. 02

    Use case prioritization

    I select 1-3 high-impact cases scored by value, feasibility, risk, available data, control, and adoption time.

  3. 03

    Workflow architecture

    I design inputs, outputs, models, tools, integrations, human steps, review criteria, usage limits, and ownership.

  4. 04

    Prototype and integration

    We define the outcome first: a usable workflow or a verifiable prototype. I then build it or specify its implementation, according to the agreed scope.

  5. 05

    Ownership and team handoff

    I leave playbooks, responsibilities, usage criteria, checklists, and metrics for evaluating the result in daily work.

[ First step required ]

A working session with leadership and process owners on repetitive tasks, frequent errors, waiting time, duplication, and the points where human judgement stays indispensable. Without that session the plan is not reliable.

  • I do not deliver a list of tools. The value sits in the architecture of the process and the criteria it is checked against, not in the software choice.
  • I do not run theoretical AI courses. We start from the work to be improved.
  • I do not build a plan for functions I have not watched work. Skip the session and the output is a presentation.
  • I do not replace your IT or your security. I design inside the constraints you give me, and I write them down.

[ the next step ]

The best use cases are not invented in a workshop, they are found where work piles up. If it is unclear where to start, a visibility analysis produces a concrete, repeating backlog: the easiest place to draw a first process with an observable output and a verifiable metric.

Want to know where to start?

Send context, website, and objective. I'll reply with the most sensible first step.

Map the use cases