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AI & Data Strategy

One coherent strategy for AI and data — aligned with your business goals, your risk profile, and Swiss regulation.

AI & Data Strategy is a consulting engagement that defines how your organization will use AI and data over the next one to three years. It covers the target operating picture, governance and compliance model, build-vs-buy decisions, tooling, and a sequenced investment plan — one document leadership and delivery teams can both execute against.

Who this is for

Executives and transformation leads who need to move from scattered AI experiments to a coordinated, defensible plan.

What you get

  • A written AI & data strategy your board can approve and your teams can execute
  • Clear build-vs-buy and tooling decisions with reasoning
  • A governance model covering permissions, review, and FADP/GDPR compliance
  • A sequenced investment plan tied to measurable business outcomes

What's included

Current-state assessment

Interviews and system review to map where AI and data stand today: tools, skills, data assets, shadow usage, and risks.

Target picture design

A concrete description of how AI supports each core workflow in one to three years — including what stays human.

Governance and compliance model

Roles, permissions, review checkpoints, and data protection measures designed for Swiss and EU regulation.

Investment and sequencing plan

What to fund, in what order, with expected returns and dependencies — connected directly to your use case shortlist.

How it works

  1. 01

    Assess the current state

    We interview stakeholders, review systems and data assets, and map actual AI usage — including the unofficial kind.

  2. 02

    Design the target picture

    Working sessions with leadership define where AI creates value, where humans stay in control, and what capabilities to build.

  3. 03

    Define governance

    We codify roles, permissions, review processes, and compliance measures into an operating model your teams can follow.

  4. 04

    Sequence the investments

    The strategy lands as a prioritized, costed plan — reviewed with leadership and ready for board approval.

Deliverables

  • AI & data strategy document with target picture
  • Governance and compliance operating model
  • Tooling and build-vs-buy recommendations
  • Sequenced investment plan with success metrics

Frequently asked questions

Do we need a strategy before building anything?

Not always. If you have one clear use case, start there and let the strategy follow the evidence. If multiple departments are experimenting in parallel — or compliance is asking questions — a strategy prevents expensive divergence.

How do you handle Swiss data protection?

FADP and GDPR requirements are built into the governance model: data residency options, processor agreements, retention rules, and human review for consequential decisions. For regulated industries we also account for sector guidance such as FINMA circulars.

How long does a strategy engagement take?

Four to eight weeks for most organizations. Larger enterprises with many business units tend toward the longer end; the assessment phase drives most of the variation.

Ready to scope this with us?

Tell us about your systems, data, and goals. We reply within one Swiss business day with a concrete next step.

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