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Advise

Two senior roles lead from the first conversation, one for the business and one for the technology. Every engagement starts with a four-week, fixed-fee Readiness & Blueprint.

Book a consultationThe delivery model

Who leads it

Advise is led by two senior roles. Each deliverable below names its owner.

  • Sibylle Möller-Sherwood

    Chief AI Strategist

    The business lead. Owns the value case: the use-case portfolio scored on value, the board readout and budget ask, and a quarterly board briefing on value and spend.

  • Martin Sherwood

    Chief AI Architect

    The technical lead. Owns the blueprint: the current-state audit, the target architecture, the governance baseline, the run-cost model and the roadmap, and chairs your AI architecture review board.

Readiness & Blueprint

A paid, fixed-fee diagnostic, and the way into every Advise engagement. It answers three board questions: are we ready, what should we build first, and what will it cost to run safely on Azure.

How long
4 weeks
How it is bought
Fixed fee
Led by
Chief AI Architect, with the Chief AI Strategist
You own
Seven artefacts and a board decision on what to do next

Week by week

  1. Week 0: Mobilise

    Scoping call, pre-read questionnaire, read-only (Reader) access to the Azure tenant and Microsoft Purview if present

    Architect
  2. Week 1: Discover

    Stakeholder interviews (CIO, CISO, data owner, enterprise architect, 2 to 3 business leads). Current-state scan of the Azure estate, identity, network, data platform and security posture

    Both
  3. Week 2: Prioritise and govern

    Use-case workshop, scored on value and feasibility. AI governance baseline and data-boundary mapping

    Both
  4. Week 3: Design

    Target architecture for a sovereign AI landing zone on Microsoft Foundry, with a Copilot Studio or pro-code decision per use case. Token and run-cost model

    Architect
  5. Week 4: Decide

    Phased roadmap, risk register and board readout. Proof of Value candidate agreed

    Both

What you own at the end of week 4

  1. Current-state AI & data audit

    Azure estate, identity, network, data governance, security posture, ERP integration readiness (for example SAP S/4HANA, where in scope)

    Architect
  2. AI use-case portfolio

    Up to 5 use cases scored on value, feasibility and risk. One named Proof of Value candidate

    Strategist
  3. Target architecture blueprint

    Sovereign AI landing zone on Microsoft Foundry, AI gateway, network isolation, identity, Copilot Studio or pro-code decisions, architecture decision records

    Architect
  4. AI governance & data-boundary baseline

    AI usage policy, AI register template, data classification and boundary map, aligned to ISO/IEC 42001

    Architect
  5. Risk & FinOps model

    Token consumption forecast, run cost at pilot and at scale, risk register

    Architect
  6. Phased roadmap

    90-day, 6-month and 12-month plan from proof of concept to production

    Both
  7. Board readout

    A 90-minute session and a 10 to 12 slide pack with the recommendation and budget ask

    Strategist

Proof of Value scoping

Every deliverable feeds Kinetic AI

The Proof of Value candidate from Phase 1 becomes a fixed-price, build-ready statement of work in two weeks. Scoping only: the build is delivered by Talastron Kinetic AI, or from Pre-built Solutions where an accelerator fits.

How long
2 weeks
How it is bought
Fixed fee
Led by
Chief AI Architect
You own
A fixed-price statement of work, the brief Kinetic AI builds to

What you own

  1. Proof of Value charter

    Use case, hypothesis, baseline and 3 to 5 measurable success criteria (for example hours saved, accuracy, cycle time)

    In Kinetic AI · Gate 1
  2. Data readiness & access plan

    Sources, classification, quality gaps, permissions and data-owner sign-off

    In Kinetic AI · Specify
  3. Proof of Value solution design

    The slice of the Phase 1 blueprint to be deployed: Foundry agents, AI Search, identity, network, AI gateway

    In Kinetic AI · Gate 2
  4. Evaluation & responsible-AI plan

    Groundedness and accuracy tests, red-team scenarios, human-in-the-loop points

    In Kinetic AI · Gate 5
  5. Go / no-go criteria

    What result at day 90 means scale, iterate or stop

    In Kinetic AI · Day 90
  6. Fixed-price statement of work

    The 90-day plan, team, price, client dependencies and acceptance criteria

    In Kinetic AI · The brief

Fractional Chief AI Architect

A named Chief AI Architect on a fixed monthly retainer. You pay a fixed monthly fee for defined outputs, with one named person accountable for them. The Chief AI Strategist joins for the board briefing.

How long
Monthly retainer
How it is bought
Fixed monthly fee
Led by
Chief AI Architect
The next cycle
An annual reassessment in the shape of Phase 1

What you get

  1. MonthlyToken and run-cost FinOps report, with optimisation actions
  2. MonthlyChairs the AI architecture review board and approves new AI workloads against the blueprint
  3. MonthlyUpdates the AI register, usage policy and data-boundary map
  4. OngoingModel and version lifecycle: upgrades, deprecations, prompt and security-boundary reviews
  5. OngoingMicrosoft roadmap advice, including licence and platform decisions
  6. QuarterlyBoard briefing on AI risk, value delivered and spend (with the Chief AI Strategist)
  7. AnnuallyRoadmap refresh and a Phase 1-style reassessment

Start with a four-weekReadiness & Blueprint

Tell us where you are today, and we’ll scope Phase 1 with you.

Book a consultationThe delivery model