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Service · Discovery & Strategy

AI Roadmap

From business goals to a sequenced AI roadmap, with target architecture, operating model, and governance in one picture.

AI initiatives rarely fail on technology. They fail because nobody decided which business goals they serve, who operates them, and how success is measured. We build a roadmap with you that starts from the business goal and carries through to architecture, operations, and governance, for cloud, sovereign cloud, or on-premises.

The situation

Most organisations that come to us do not have an AI problem. They have a sorting problem. Pilots are running in several teams, a few of them work surprisingly well, and almost none of them are in production. Nobody can say with confidence what the initiatives cost together, what they contribute to the business result, or who answers for it when an agent makes the wrong call at three in the morning.

Pressure builds from two directions at once. Business units want the tools they already use privately. Security, data protection, and audit want to know the rules under which that happens. A roadmap that serves only one of those two sides gets either ignored or blocked.

How we work

  1. 01

    Ambition and value logic

    We start from your business strategy, not from the technology stack. With leadership and business units we establish which goals AI should support over the next twelve to twenty-four months, and how the contribution will be measured.

    Deliverable: Agreed ambition with value logic and success metrics

  2. 02

    Baseline assessment

    An honest read of the current state across data, platform, processes, capabilities, and governance. We review what is already running, what of it will hold up, and where the real bottlenecks sit.

    Deliverable: Maturity picture with named bottlenecks and credible quick wins

  3. 03

    Opportunity portfolio

    We map candidates along the value chain and separate cases that grow revenue and decision quality from cases that reduce effort, cycle time, and error rates. The two are funded differently, measured differently, and governed differently.

    Deliverable: Prioritised portfolio scored on impact, feasibility, and risk

  4. 04

    Target architecture and operating model

    The reference architecture for your context: model access and gateway, identities for non-human actors, logging, cost attribution, reuse. Plus the question that gets expensive when asked late: who builds, who runs, and who is accountable for an agent when it misbehaves.

    Deliverable: Target architecture, stack decisions, and an operating model with named roles

  5. 05

    Sequencing and roadmap

    Waves, not a wish list. We order the portfolio by dependencies, the foundation work it presumes, and what can realistically be funded, so early results carry the later ones and the organisation grows into it.

    Deliverable: Sequenced roadmap with milestones, effort estimates, and decision points

Fields of action

  • Knowledge work and assistance

    AI where the daily work happens. Research, documents, minutes, analysis, ticket and request handling. The field that earns adoption and turns users into a source of ideas.

  • Process and workflow automation

    Agents inside the operational chain rather than beside it. Data pipelines, quality gates, monitoring, service and reconciliation processes. The field the durable business case comes from.

  • Platform and tech stack

    Reference architecture, model access, and integration with the systems you already run. Where it runs is a decision, not a given: hyperscaler, sovereign cloud in Switzerland, or on-premises for everything that cannot leave the building.

  • Governance, security, and compliance

    Risk classes, approval tiers and human-in-the-loop thresholds, access and identity, traceability and logging. Aligned to the revised Swiss FADP and the EU AI Act, and embedded in your existing governance rather than parked next to it.

  • Shared building blocks

    Templates, curated skills and prompts, evaluation and guardrail frameworks, delivery paths. So twelve teams do not solve the same problem twelve times and pay for it twelve times.

  • Enablement and adoption

    Training, roles, ways of working, and adoption measurement. The part without which a roadmap stays a presentation.

What you get

  • · Prioritised use-case portfolio, split by growth impact and efficiency impact
  • · Target architecture including stack decisions for cloud, sovereign cloud, or on-premises
  • · Operating model with roles, accountabilities, and approval paths
  • · Governance framework with risk classes and human-in-the-loop thresholds
  • · Sequenced roadmap with milestones, effort estimates, and decision points
  • · A defensible basis for budget and steering-committee decisions

Engagement

Duration
Scoped to fit, from a compact format for a single business unit to an organisation-wide engagement.
Getting started
A short scoping session that establishes scope, participants, and effort.
Who is involved
  • · Leadership and business units for ambition and prioritisation
  • · IT, architecture, and operations for the baseline and target architecture
  • · Security, data protection, and compliance for the governance framework
Format
  • · A working format of workshops, interviews, and review of the existing landscape
  • · Continuous interim results rather than one big reveal at the end
  • · Deliverables in your formats, usable in steering and budget processes
  • · On site in Switzerland or remote

Ready to start?

Let’s talk about your project.

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