TRUSTED BY
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Our Approach
Strategy that ships
Most AI strategies produce a slide deck and a list of possibilities. Ours produces a production roadmap. We start with your operational reality, identify the use cases with the highest business impact and technical feasibility, then build the first agents and get them into production.
Our Discovery process is designed to prevent the most common reason AI projects fail: picking the wrong problem. We score every potential use case against real constraints, produce a prioritised shortlist with measurable success criteria, and deliver a board-ready business case you can act on immediately.
What Discovery Covers
From ambition to action plan
Operational Mapping
We map your current workflows, identify bottlenecks, and quantify the time and cost of manual processes. This grounds the entire engagement in operational reality, not hypothetical AI applications.
Use Case Identification
We generate a long list of potential AI use cases, then score each one on business impact and technical feasibility. The output is a prioritised shortlist, not an overwhelming menu of possibilities.
Build vs Buy Evaluation
For each use case, we assess whether to build custom, leverage open source, or buy an existing product. Independent advice with no vendor bias. We recommend what is right for your situation.
Architecture and Data Assessment
We evaluate your data landscape, existing systems, and integration requirements. The architecture is designed around your infrastructure and security constraints, not the other way around.
Business Case
A board-ready document with quantified ROI, realistic timelines, resource requirements, and risk assessment. Everything your leadership team needs to make an informed decision.
Production Roadmap
A phased deployment plan starting with the highest-impact use case. Clear milestones, success metrics, and a realistic timeline to first production agent.
Track Record
15 years of delivery
Cabinet Office
100x increase in document processing throughput. 1.6 million files processed in weeks, replacing a manual process estimated at 8 years.
Danone
Conversational AI for clinical nutrition achieving 90% user satisfaction. "Very professional and well structured."
FCDO
Data-driven decision platform for a $2B development fund. Production system for international aid allocation and impact analysis.
Also trusted by: Bank of England, NHS, Microsoft, Unilever, Cisco, ConsenSys, and more.