We partner with you from strategy to delivery: ship AI that drives real business outcomes, with the governance and control to scale it safely.
We find the right starting point, build it with your team, and keep it controlled on Difinity from day one.
Map the business problem and the highest-value AI opportunity.
Clear use case, value case, delivery path, and proposal.
An automation, copilot, or agent working inside operations.
One year platform access included from day one.
Scattered experiments never become a fundable roadmap.
Strategy decks don't connect to your data, tools, and workflows.
Security and compliance enter after the build, so launches stall.
Decide what to build, ship it with your team, and govern it on one platform.
Find the use cases worth building first.
A funded, board-ready plan.
Design and ship AI-assisted workflows.
Integrate LLMs, RAG, and agents into your systems.
Deploy Hub and Flow around production AI.
Keep AI governed as it scales.
Map usage, risk, and opportunity.
Roadmap, architecture, and controls.
Build, integrate, and hand over.
Monitor, refine, and evolve.
Difinity Hub and Flow sit behind your AI workflows, enforcing policy, protecting sensitive data, routing requests, and recording evidence across every production interaction.
"Rate these loan applicants: John Smith (SSN 412-68-1923), DOB 03/15/1987..."
Request intercepted and blocked: non-compliant with EU AI Act Art. 5. Escalated to governance team.
Enterprise AI needs more than a tool and more than advice. We combine practical strategy, hands-on delivery, and runtime governance in one path.
Use-case discovery, roadmap design, architecture guidance
Choose the right AI work before you spend heavily
A practical roadmap tied to business value and governance
Automation, integration, RAG, agents, workflow rollout
Turns strategy into working systems
Hands-on delivery from prototype to production handover
Difinity Hub and Difinity Flow
Keeps production AI controlled and auditable
Runtime policy, PII redaction, routing, and audit evidence
Controls designed into each AI workflow
Reduces late-stage blockers from risk and legal
Controls inside the request path, not just documentation
OpenAI, Anthropic, Gemini, DeepSeek, Grok
Pick models by use case, cost, risk, and performance
One governed layer across approved LLM providers
Governance reviews, policy updates, cost visibility
Keeps adoption moving as teams and rules change
A path from first use case to governed scale
Both. We help you choose the AI use cases worth building first, then build and ship the workflows with your team, and govern them on the Difinity platform once they're live.
Most first use cases reach governed production in under 14 days, depending on data access and internal approvals.
No. The platform is how we keep production AI governed at runtime, but we can also work within your existing stack and controls.
PII is redacted before any prompt reaches a model, every request runs under your policies with a full audit trail, and EU and regional data residency is available.
Primarily regulated sectors including financial services, healthcare, government, and technology, where getting AI into production safely actually matters.
Yes. That's often where we come in: getting stalled pilots out of the lab and into safe, governed production.
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Your data is processed in the EU and never shared with third parties.
Book a 30-minute session: pinpoint the AI use cases worth doing, map what it takes to get them into production, and the controls to govern them. Ship your first value-driving, governed workflow in 30 days.
Financial services, healthcare, government, and technology. Current cohort: limited to 15 organisations.
