Consulting from a team that runs AI in production.
Our advice comes from operating real systems, not selling tools. We understand the trade offs and constraints that come with deploying AI in government and enterprise.
You get a plan that can move forward with confidence, even if that means rethinking the original use case.
What we cover.
AI strategy
Which problems are worth solving with AI. Which are not. What a realistic programme of work looks like for your organisation.
Use case validation
Structured assessment of proposed use cases before you commit budget. Feasibility, data, compliance and likely return.
Model and vendor selection
Bedrock, Foundry or self-hosted open-weights. Sovereignty, cost at scale and operational maturity with the trade-offs named.
Responsible AI frameworks
Human-in-the-loop, audit trails, bias testing and explainability, mapped to your accountability obligations.
Programme governance
Stage gates, evaluation criteria, roles and decision rights. Structure so AI programmes do not drift without visible progress.
Change management
Training, communication and operational change design. So the technology lands inside the organisation rather than beside it.
Problem first. Technology second.
We start with the problem, not the tools. What are you trying to achieve, what is the cost of doing nothing and what does success look like in practice.
Our advice is based on running real systems, with a clear view of what works, what does not and what will hold up over time.
How an engagement runs.
Orient.
Workshop series with your leadership and delivery teams. Current state, constraints and the outcomes you are accountable for.
Assess.
Structured evaluation of proposed use cases, existing data and tooling. We shortlist what is worth building and flag what is not.
Recommend.
Model and stack recommendation across Bedrock, Foundry and self-hosted. Sovereignty, classification and cost trade-offs with the reasoning.
Plan.
Delivery roadmap, governance model and responsible AI framework. Sized, sequenced and mapped to your organisational context.
What you walk away with.
A use case shortlist with go, pivot or stop recommendations.
Model and stack options across Bedrock, Foundry and self-hosted, mapped to your sovereignty and cost constraints.
A responsible AI framework your governance, legal and risk teams can sign off on.
A sized delivery roadmap with phases, decision gates and a named risk register.
An evidence-backed business case built to withstand procurement and executive scrutiny.