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Greyquill
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Services · AI & data

Governed AI,
from briefing to production.

Twelve engagements across training, assessments, and consulting, organised in five phases from boardroom to production. Run by the team that builds the Greyquill platform. Most clients start at Phase 01. Stop at any milestone.

How to read this
  • ★ Recommendedis the core engagement at each phase.
  • TrainingAssessmentConsulting
  • Click any service for details. Opens here.
  1. PHASE 01Align

    A picture you need before signing the next contract or engagement. And, well before a line of code.

    BringAI initiatives in flight. Your top three worries.Leave withShared risk view. 90-day action list.
    Also at this phase
  2. PHASE 02Diagnose

    A defendable picture of your AI estate. Start with the maturity baseline. Go deeper where you already suspect trouble.

    BringLeadership access. 6 to 8 interviews. Current AI and data docs.Leave withScored baseline. Peer benchmarks. Sequenced uplift plan.
    Also at this phase
  3. PHASE 03Plan

    A program the board will fund and the CDO can execute. Add the data workshop when engineering needs to align first.

    BringDiagnose baseline. A clear AI ambition.Leave with18-month roadmap. Operating model. Board-ready business case.
    Also at this phase
  4. PHASE 04Build

    We ship the operating model. Add the model risk masterclass when your team should run it from day one.

    BringApproved roadmap. Executive sponsor. Named delivery owner.Leave withLive governance, wired into your existing risk frameworks.
    Also at this phase
  5. PHASE 05Ship

    A reference workflow, deployed and operating, with the architecture transferred so your team can extend to the next ten.

    BringOne business workflow with an owner who will actually use the agent.Leave withA production agent, runbooks, and capability transferred to your team.

Not sure which entry point fits?

30 minutes. We scope the right one for where you actually are.

Talk through your starting point
Beyond advisory

Advisory that ends in working software.

The roadmap is not a slide deck relay. The later phases are build phases, delivered by the same engineers who run the assessments, on the same platform we sell.

LLM applications and retrieval

Assistants, copilots, and RAG systems grounded in your own data, with evaluation baked in.

Agentic systems

Multi-agent workflows with human-in-the-loop escalation and an audit trail assembled at runtime.

Master data and lineage

Golden records, quality repaired at source, and lineage you can query when the auditor asks.

Evaluation and monitoring

Eval sets, model cards, and runtime observability, so passing review once is not the finish line.

The platform underneath all of it: see how the pieces fit together →

Not sure which entry point fits?We scope the right one with you.

30 minutes. Workshop, diagnostic, or implementation, you leave with a recommendation either way.

Book a call