A Clear AI Strategy,
Costed and Sequenced
The hard part of enterprise AI is rarely the model. It is deciding which problems are worth solving, in what order, under which controls — and being able to defend that plan to a board. We help you get there with evidence rather than enthusiasm.
Our Generative AI Consulting Services
Structured engagements that end in a decision you can act on, not a slide deck that ages on a shared drive.
Opportunity Assessment
We map your workflows, quantify where time and money currently go, and identify the handful of use cases where generative AI would move a number that matters. Just as importantly, we tell you which ideas to drop.
Readiness Audit
An honest appraisal of your data quality, systems, security posture and internal skills — the four things that most often determine whether an AI programme succeeds long before any model is chosen.
Architecture & Build vs Buy
Where an off-the-shelf product is genuinely sufficient, we will say so. Where it is not, we design the reference architecture, integration approach and deployment model that fits your constraints.
Business Case & TCO
A defensible financial model covering build, inference, infrastructure and support costs against projected benefit — the analysis a finance director needs before approving a programme.
Governance & Compliance
Usage policy, human oversight, model risk assessment, audit trails and data handling standards, aligned to the regulatory obligations that apply to your sector.
Enablement & Change
Adoption fails on people, not technology. We run practical training, define new ways of working, and help you build the internal capability to keep going after we step back.
How Our Engagements Work
A deliberate sequence from broad exploration to a funded, prioritised plan.
1. Discover
Structured interviews and workflow analysis across the teams whose work would actually change, so the opportunity list reflects operational reality.
2. Prioritise
Every candidate use case scored on value, feasibility, data readiness and risk, then plotted so the sequencing argument becomes obvious.
3. Design
Reference architecture, integration map, governance model and delivery plan for the use cases that survive prioritisation.
4. Prove
A narrowly scoped proof of value against real data, so the business case rests on measured evidence rather than vendor benchmarks.
When Consulting Is the Right First Step
The situations where a short advisory engagement saves considerably more than it costs.
No Agreed Starting Point
Everyone has ideas, nobody has a ranked list, and the programme is stalling in committee. We turn opinion into a scored, evidenced priority order.
A Pilot That Never Landed
A promising prototype has failed to reach production. We diagnose whether the obstacle is data, architecture, governance or adoption — and what it would take to finish.
Regulatory Pressure
You operate somewhere that AI use must be documented, explainable and auditable, and you need the control framework agreed before deployment rather than after.
Budget Approval Needed
You need a credible cost and benefit model, with sensitivities, to take an AI programme through an investment committee.
Build, Buy or Both
The vendor landscape is crowded and claims are hard to compare. We run structured evaluation against your genuine requirements.
Capability Gaps
You intend to run this in-house eventually and need an honest view of the skills, roles and operating model required to do that.
Why Clients Bring Us In
Advice From People Who Build
We deliver production AI systems as our main business. Our recommendations are constrained by what we know actually survives contact with real users and real data.
No Product to Sell You
We are not resellers and hold no platform quota. If the right answer is a tool you already own, or no AI at all, that is the advice you will get.
Built to Be Executed
Every engagement ends with a sequenced, costed plan specific enough to start on Monday — with our delivery team available if you want us to, and no obligation if you do not.
Frameworks & Platforms We Assess Against
Model Providers
- Anthropic
- OpenAI
- AWS Bedrock
- Azure AI Foundry
- Open-weight
Governance
- NIST AI RMF
- ISO/IEC 42001
- EU AI Act
- GDPR / DPDP
- Model cards
- Audit logging
Delivery
- Evaluation harnesses
- Prompt versioning
- CI/CD for models
- Observability
- Cost telemetry
- Red teaming
Infrastructure
- AWS
- Azure
- Google Cloud
- On-premise
- Hybrid / VPC
- Kubernetes
Generative AI Consulting — Common Questions
A focused opportunity assessment typically runs a few weeks. A full readiness audit with architecture and governance design takes longer, and a proof of value adds a build phase on top. We scope to the decision you need to make, and we would rather run a short engagement that answers one question well than a long one that answers everything vaguely.
A prioritised and scored use case portfolio, a readiness assessment against data, systems, security and skills, a reference architecture for the recommended approach, a cost and benefit model, a governance framework, and a sequenced delivery roadmap. All of it written to be used by your teams, not just presented once.
No, and the roadmap is deliberately written so another partner or your internal team could execute it. Many clients do continue with us because the context transfers cleanly, but the deliverable stands on its own.
Regularly. A meaningful share of the ideas we assess turn out to be better solved by fixing a process, cleaning a dataset or configuring existing software. Identifying those early is one of the most valuable outcomes of the engagement.
We map your intended use cases against the obligations that apply in your jurisdiction and sector, classify them by risk, and define the documentation, human oversight and monitoring each tier requires. The output is a control framework your compliance team can own.
Typically a business sponsor, someone who knows the operational detail of the workflows in scope, a data or systems owner, and a security or compliance representative. We keep the time commitment modest and structured — a handful of scheduled sessions rather than an open-ended demand on your calendar.
Other AI Solutions We Build
Generative AI
Secure LLM systems for decision support, drafting and knowledge retrieval that augment human judgement.
AI Chatbot
Context-aware conversational interfaces that resolve customer questions around the clock.
AI Automation
Intelligent automation that removes repetitive work so your team can scale without scaling headcount.
AI Agent
Autonomous agents that plan, use tools and complete multi-step work under your supervision.
Get an honest read on your AI opportunity
A short conversation is usually enough for us to tell you whether there is a case worth building — and whether we are the right people to help.