[ AI Strategy & Integration ]

Integrate AI into business processes

AI Strategy & Integration helps you decide where AI belongs in your business processes. We examine real tasks, data and constraints, select a priority use case and design the workflow. You receive an operational plan with responsibilities, controls and evaluation criteria. Development and integration are defined within the agreed scope before work starts.

Find your first AI use case
[ The decision ]
Which process to improve first and how to assess the change.
[ The deliverable ]
An operational plan and workflow specification; a prototype or integration only within the agreed scope.
[ Who does what ]
I design the approach. Process owners, IT and security teams take part in decisions and implementation.

what you receive

  • Map of processes and where AI can create value
  • Comparison of use cases by value, feasibility and risk
  • 30-60-90 day roadmap
  • Workflow specification with inputs, steps, responsibilities and controls
  • Usable workflow or verifiable prototype, where included in the agreed scope
  • Operating instructions and metrics to assess adoption in day-to-day work

who it's for

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.

Find your first AI use case

how we work

  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.

how it starts

[ First step required ]

A session with process owners establishes tasks, data, recurring errors and constraints. We then select the priority use case and define the expected outcome. If the main need is to train your team on a project already chosen, we consider Agentic Execution Lab.

scope and boundaries

  • The work covers processes, responsibilities and evaluation criteria, not simply a list of tools.
  • Hands-on team training on a selected project has a dedicated path: Agentic Execution Lab.
  • The plan requires access to real working context and input from the people doing the work.
  • Your IT and security teams retain ownership; I design within the agreed constraints.

[ the next step ]

Once the use case is selected, the next step depends on who will operate it. If your team needs to learn how to delegate, verify and maintain the workflow, Agentic Execution Lab provides hands-on work on the project. A visibility assessment is not a prerequisite for improving internal processes.

Train your team through a real project

related reading

Want to know where to start?

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

Find your first AI use case