01 — Consulting

AI strategy, governance and roadmap.

We help executive teams and CIOs decide fast and well: which use cases, in what order, on which technical foundations and with which governance model.

Our method, in three steps

  1. 01

    Map

    Process-mapping workshops, use-case identification (pain points and the ability of AI to add value), validation of the internal and value-chain scope.

  2. 02

    Assess

    Dynamic assessment of technical complexity (make or buy, transformation issues) and of impact: hours saved, effect on the value proposition.

  3. 03

    Draw the roadmap

    Technology trends and available resources taken into account, projects grouped and sequenced, a monitoring unit on solutions for the projects not selected.

What we take on

AI strategy

Synthetic view of expected objectives and allocated resources; consolidation of projects at corporate-process level; awareness of industry AI opportunities and threats.

AI governance

Design and implementation: use-case development process, AI project portfolio management, IT and business involvement in adoption.

Use-case prioritisation

In-house methodology for value, technical complexity and transformation complexity assessment.

Technical & data strategy

Design of the shared components (agent orchestrator, LLM access portal…) that corporate IT should offer business units.

Our consulting work, in three examples.

All clients

Architecture and engineering group — Consulting

A leadership team aligned on a clear, pragmatic AI roadmap.

What we did : Process mapping, use-case identification and prioritisation (image and text generation), make-or-buy and impact assessment, roadmap and a solutions monitoring unit.

  • Prioritisation
  • Roadmap

Major engineering group — Consulting

Balanced governance between IT and business units to deploy AI.

Context and needs : Multiple uncoordinated initiatives, fast-growing shadow IT, little visibility on priorities and stakes at executive-committee level.

  • Organisation
  • Governance

Engineering group — Solutions

Adding an AI-assisted virtual data room to a service delivered entirely by hand until now.

What “APAIA Make or buy Agent” brought : Segmentation of the players addressing this need. Detailed view of the players in each segment. Access to detailed data on the most relevant players to inform the make-or-buy decision.

  • Sourcing
  • Make or buy

Where does your organisation stand on AI?

A maturity assessment across 5 criteria and 9 sub-criteria, run through guided interviews. You leave with a clear view of where to improve.

Request an assessment