We partner with regulated organisations across every stage — from strategy and architecture to deployed AI agents and governed data platforms. Production-grade, every engagement.
We partner across every stage of your data and AI journey. Click any capability below to see the full service detail, deliverables, and what to expect.
Roadmaps, governance, and business cases that ensure every AI investment is sequenced correctly.
Production-grade AI agents for document processing, underwriting triage, and claims analysis.
AI-ready data foundations on Microsoft Fabric, Databricks, and Snowflake — without vendor lock-in.
Governance frameworks, ROI structures, and compliance architecture that justify AI investments.
PolicyCompareIQ™, ClassifierIQ™, D&O AnalyzerIQ™ and TriageIQ™ — built on our own foundations for regulated industries.
We help regulated organisations make sense of AI before committing to it — building the strategy, governance, and business case that ensures every investment is sequenced correctly and delivers measurable value.
A structured diagnostic of your data estate, tooling, team capabilities, and organisational readiness for AI deployment. We score each dimension and identify the highest-ROI entry points.
We translate AI ambitions into a phased, costed, prioritised roadmap — sequencing investments to build capability without disrupting operations or creating technical debt.
Deploying AI without rethinking how work gets done leads to failed adoption. We design the operating model, roles, and processes that make AI stick inside your organisation.
LLM selection, vector store architecture, agent orchestration frameworks — independent advice with no vendor commissions and no platform bias.
FCA AI principles, EU AI Act, ICO guidance, and Lloyd's Blueprint Two — assessed against your current and planned AI deployments, with clear remediation priorities.
We build the measurement frameworks that track value realisation from proof of concept through to full production deployment — board-ready throughout.
We design, build, and deploy production-grade AI agents for regulated workflows. Agents that read documents, make decisions, route work, and escalate to humans exactly when they should — with XAI and HITL built in from the first line of architecture.
End-to-end design of multi-agent AI systems — orchestration patterns, tool selection, memory architecture, and human escalation logic.
AI agents that read, extract, classify, and structure data from any document type — PDFs, policy wordings, submissions, claims files, medical records.
Agents that read incoming submissions, score and prioritise risk, route to the right underwriter, and flag issues — before the first human touches the file.
Agents that analyse inbound claims against policy terms, flag coverage questions, assess quantum, and prepare structured handler briefings with source citations.
Production deployment of AI agents into your existing systems — policy management, claims platforms, CRM, and custom applications.
Retrieval-augmented generation systems that give your AI agents and employees accurate, source-cited answers from your internal document libraries.
You cannot build reliable AI on unreliable data. We build the governed, quality-controlled, AI-ready data foundations that regulated organisations need — using Microsoft Fabric, Databricks, and Snowflake without vendor lock-in.
Design and implement the policies, ownership structures, and data cataloguing that make your data estate trustworthy, auditable, and AI-ready.
Cloud-native data architecture — lakehouses, medallion patterns, and real-time pipelines — designed for AI workloads and regulatory audit requirements.
Systematic identification and remediation of data quality issues — with ongoing monitoring to prevent regression and ensure AI models train on reliable data.
Predictive models, portfolio dashboards, and loss ratio analytics built on your governed data estate — turning data into underwriting intelligence.
Identify, package, and monetise the data assets your organisation already holds — turning operational data into products with measurable commercial value.
Structured programmes to upskill your team — from data fundamentals for business users to advanced engineering training for technical staff.
Every AI investment needs to be justified and sustained. We design the governance frameworks and value measurement structures that let you demonstrate returns to boards, satisfy regulators, and scale what works.
Comprehensive assessment of your AI systems against FCA, PRA, ICO, and Lloyd's requirements — with a clear remediation plan for identified gaps.
Board-ready investment cases and benefits tracking frameworks that quantify the business value of AI programmes from day one through to full production.
Tell us where your programme is stuck. 30 minutes. No deck. Just the problem.