The job
Risk has to keep decisions, models and operations inside the line. Sample testing and periodic review can't provide evidence at the pace AI and automation now operate.
Flagship solutions
Risk & Compliance teams are being asked to oversee more decisions, more customer interactions and more AI. From the work we’ve delivered, three areas consistently stand out: automating assurance, embedding responsible AI into development, and making sure governance is scalable as AI moves into production. Think of them as a place to start, never a limit on where we can help.
Automate assurance across customer journeys and regulated processes. We use data and AI to assess interactions, decisions and transactions at scale, identify where outcomes fall outside policy or regulatory expectations, and trace issues back to their root cause, replacing sample-based review with continuous, evidence-led monitoring.
Leading UK retail bank
Reimagine
Reengineer
We designed a modular diagnostics framework that maps every decision point in the customer journey, cross-references what should have happened against a 360° customer view, contextualises deviations to separate real harm from benign misalignment, and prioritises remediation by root cause. Powered by LLMs, speech-to-text, ML and analytics-at-scale.
Realise
Build responsible AI into development rather than adding assurance at the end. We turn regulatory requirements, internal policies and governance frameworks into repeatable assessments and controls, helping teams understand what is required, document decisions and address risk as AI products are designed and built.
Global AI & technology group
Reimagine
Reengineer
We built a multi-agent Responsible AI assistant grounded in a curated knowledge base covering EU AI Act, the NIST AI Risk Management Framework and the client's own governance policies. A compliance agent runs the assessment, a retrieval agent grounds and fact-checks every finding, and a reviewer agent applies safety and policy guardrails. Users interact with the assistant through MS Teams.
Realise
Make governance something every AI agent inherits, not something every project has to rebuild. We help you establish reusable controls across access, models, data, guardrails, observability and audit so new agents can move towards production with security and governance built into the architecture.
Multiple clients across healthcare, retail and technology
Reimagine
Reengineer
We implement an Agentic AI framework with standardised governance and security, such as: role-based access control on every integration, a policy engine and guardrails applied to each call, PII masking on data access, an LLM gateway managing model access and usage cost, and observability and audit capturing every tool and peer-agent call. Agents and their integrations are registered and wrapped through managed MCP and A2A protocols, creating a consistent control layer across the estate.
Realise
Our portfolio
Beyond assurance and AI governance, we help Risk & Compliance teams detect exposure earlier, strengthen controls, prevent fraud and make better risk decisions at scale.
Connected value
Risk, Governance and Compliance work best when controls are built into the decisions, models and workflows they govern, instead of applied afterwards. Connecting Risk with Data & AI and Operational functions makes assurance more continuous, decisions more consistent and intervention earlier.
Risk gives Data & AI the policies, thresholds and governance requirements models and agents need to operate within.
Data & AI can move faster with clearer guardrails, stronger traceability and less rework late in development.
Data & AI gives Risk better visibility of model behaviour, decisions, data usage and emerging patterns of exposure.
Risk gets continuous evidence and earlier warning of where controls, models or policies may need attention.
Risk gives Operations clearer controls, decision rules and intervention thresholds inside day-to-day workflows.
Operations can manage exceptions consistently, reduce avoidable exposure and keep compliance from becoming a separate manual layer.
Operations gives Risk real signals from transactions, exceptions, process failures and customer interactions.
Risk gets a clearer view of where exposure actually happens, so controls can be improved before issues scale.
Why us
We define the outcome and the route to it, with people who have done it before, on technology you own and control.
We define the outcome before we start.
We take you from functional silos to a business that acts as one.
We bring people who have done this before, in businesses like yours.
We run what you have, or build what you keep.
How we engage
Both are equally valid and can run in parallel.
Option 01
Broad
We assess where you stand today, identify the highest-value opportunities and size the return before defining what to do first.
This is the best option when the priority is not yet clear, but the goal to improve performance is.
Option 02
Narrow
Bring us the problem, process or outcome you want to improve most. We'll define the business case, design the right intervention and take the first increment into production.
This is best when the priority is already clear and it needs a route to delivery.
Book a working session
Here is exactly what happens, so you can decide whether it's worth the diary slot.
We read your public numbers, your market and your technology footprint.
We map where value is leaking today and what is blocking it. You do most of the talking.
A shortlist of the opportunities worth sizing, an honest read on what is in the way, and a clear next step.
A one-page summary within two working days. Yours to keep, whether or not you engage us.
No pitch, no pressure. A working session with the goal of helping you to unlock value.
