Services
Seventeen ways to move AI from pilot to production.
Organised around the client journey — Discover, Build, Run, Enable — because that is how AI actually gets into operation.
01 · Strategy
Strategy & Readiness
Diagnostics, strategy, and readiness work that turns board-level intent into a funded, prioritised portfolio with owners, a value model, and a credible path to production.
AI Opportunity Assessment
A prioritised, costed portfolio of AI use cases and a 12-month roadmap in four weeks. 3–4 weeksFixed fee
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AI Strategy & Operating Model
An enterprise AI strategy your executive team will actually run — with an operating model, funding rules, and governance charter. 6–10 weeksFixed fee or T&M
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Data & Platform Readiness
A readiness scorecard and remediation backlog that tells you exactly what stands between you and production. 4–6 weeksFixed fee
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Fractional Chief AI Officer
Senior AI leadership on a retained basis — portfolio steering, board reporting, and vendor management without the full-time hire. Retainer, 2–4 days / monthRetainer
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AI Due Diligence
Technical and commercial assessment of AI capabilities for M&A, portfolio companies, and vendor selection. 2–3 weeksFixed fee
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02 · Build
Build: Agentic & Generative Systems
We design and build task-specific agents, retrieval systems, copilots, and the private platforms they run on — engineered for production from the first sprint.
Agentic Workflow Automation
Task-specific AI agents in production for high-volume workflows — support resolution, invoice matching, claims triage, order exceptions, document processing. 12–16 weeks to first production systemMilestone-gated T&M; outcome-linked option
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Enterprise Knowledge & Retrieval (RAG)
Grounded assistants and search over your internal data — with access control, citations, and freshness you can trust. 8–12 weeksMilestone-gated T&M
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Custom LLM Applications & Copilots
Domain copilots for sales, engineering, legal, and finance — with the model selection and evaluation evidence to back them. 8–14 weeksMilestone-gated T&M
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Predictive & Decision Intelligence
Classical machine learning where it beats LLMs: forecasting, anomaly detection, optimisation, and pricing. 8–12 weeksMilestone-gated T&M
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Private & Sovereign AI Platforms
Open-weight and commercial models on private infrastructure — OVHcloud, on-premise, or hybrid — with a model gateway, tiered routing, and cost controls. 6–10 weeksFixed fee blueprint + T&M build
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03 · Run
Run: Governance, Risk & Operations
EU AI Act compliance, AgentOps, AI security and red teaming, and independent audits — the practice that keeps production systems trustworthy after go-live.
AI Governance & EU AI Act Compliance
Risk classification, conformity documentation, and oversight design aligned to the EU AI Act — with the evidence pack to prove it. 6–8 weeks (framework); ongoing (compliance)Fixed fee + optional retainer
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AgentOps & Managed AI Operations
Run agents in production: monitoring, evaluation drift, guardrails, incident response, cost control, and model lifecycle — under an SLA. Retainer, monthlyRetainer with SLA
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AI Security & Red Teaming
Adversarial testing for prompt injection, data exfiltration, and jailbreaks — and secure design for agent tool use. 3–5 weeksFixed fee
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Responsible AI Audit
Independent assessment of deployed systems for fairness, explainability, robustness, and documentation — with an attestation letter. 4–6 weeksFixed fee
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04 · Enable
Enable: People & Change
Executive briefings, role-based enablement, and change management — because the skills gap is the top barrier and technology alone does not move the P&L.
Executive & Board AI Briefings
Leadership programmes on AI economics, risk, and decision-making — so your board can govern AI, not just approve it. Half-day to two daysFixed fee
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Workforce AI Enablement
Role-based training for analysts, engineers, and operations teams — with prompt libraries, certification, and an internal champions network. 6–12 weeksFixed fee per cohort
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Change & Adoption Management
Workflow redesign around agents, role transitions, communication plans, and adoption tracking — so the business case is realised. 8–16 weeks, alongside deliveryT&M
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Engagement models
How we price.
Fixed-fee diagnostics
Assessments, readiness reviews, audits, red-teaming. Scoped, priced, and delivered in weeks.
Project delivery
Time and materials with milestone gates. Every increment ships something you can evaluate.
Outcome-linked
For automation programmes with a measurable baseline, part of the fee is tied to agreed KPIs.
Retainers
Fractional AI leadership and AgentOps, reported monthly under an SLA.
FAQ
Common questions.
Almost always with a fixed-fee diagnostic: an Opportunity Assessment, a Readiness review, or a Governance gap analysis. It produces a scoped backlog and a value hypothesis before you commit to delivery.
No. We are platform-neutral and work across OVHcloud, hyperscalers, and on-premise. Model selection is an engineering decision made per use case, with a tiered routing strategy to control cost.
Yes, for automation programmes with measurable baselines. A portion of fees is tied to KPIs agreed in the first two weeks.
Our AgentOps retainer monitors quality drift, cost, and incidents, and reports monthly. Or we hand over to your team with runbooks and a certified operator path.