I help companies identify, shape and adopt practical AI solutions.

I'm Roxana Saedi, a business and strategy consultant with an ICF coaching credential, based in Zurich. I help teams decide where AI is useful, shape a workable solution, and prepare people to use it.

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How I take an AI opportunity forward.

My role is to connect the business need with a practical delivery and adoption plan.

Identify the right opportunity

I clarify the business need and who the work affects. We agree what a useful result would change before choosing an AI approach.

See how I framed the case

Shape a workable solution

I turn the opportunity into a clear scope. Business and technical teams can then review the expected behaviour, measures and delivery plan together.

See how I shaped the plan

Coordinate delivery and controls

I coordinate business and technical contributors around delivery decisions. Together with the relevant owners, I choose tools and agree the data security and compliance controls that match the company’s risk tolerance.

See the delivery controls

Prepare rollout and adoption

I involve users while the solution is taking shape, then prepare the training and support needed for rollout. Feedback informs the next step.

See the rollout approach

A hand-drawn path from choosing an idea, through planning and safety checks, to a working product and its result. — Choose the problem, build safely, and help people use the result.

Other business uses worth exploring.

The underwriting case shows one end-to-end approach in depth. These four areas are illustrative opportunities I can help a team assess, not completed client work. Many can begin with approved no-code tools.

Research and customer insight

Bring source material and customer feedback together so a team can see recurring themes and open questions.

Sales preparation

Help sales teams prepare for meetings using approved account information and a consistent briefing format.

Internal knowledge

Make approved policies and guidance easier for employees to find and use.

Reporting and workflow support

Prepare recurring reports and route exceptions to the right owner.

See the flagship case in action.

The self-initiated case models an illustrative life and health underwriting intake workflow with fictional data. In the demo, a bounded assistant recommends whether a case can continue or needs an underwriter, explains why and leaves the decision with a person.

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FICTIONAL EXAMPLE

APPLICANTSofia BianchiTeacher · coverage CHF 900'000

RECOMMENDATIONSend to an underwriterPending cardiac investigation. Human review required.

The underwriter remains responsible for the decision

Resources for shaping an AI initiative.

I turned the method behind the case study into a readiness checklist, a delivery playbook and a team workshop.

A page from the AI idea readiness checklist

Checklist page

A page from the AI delivery playbook for describing the problem

Playbook page

FREE CHECKLISTIs your AI idea ready to pursue?

Twenty yes-or-no questions to find the gaps before a team commits time.

See the checklist PLAYBOOK · CHF 49Plan and lead the work

A short guide and eight editable templates for deciding what to pursue and planning delivery and adoption.

See the playbook WORKSHOP WAITLISTWork through one use case together

A half-day session for teams that need a clear decision and practical next steps.

See the workshop

Looking for practical AI support?

If you are exploring an AI opportunity or preparing one for delivery, write to me.

Email me