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AI Services

Production-Ready AI That Scales Safely

Production-ready AI capabilities that integrate seamlessly with your enterprise environment, from intelligent agents to governance frameworks.

AI capabilities overview

From Enterprise Data to Governed AI Output

Agents and enterprise data feed one orchestration layer, and every model response passes through governance before it reaches your people or your systems.

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AI models: Claude, ChatGPT and Gemini

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Service capabilities: agentic AI, RAG systems, automation & integration

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Governance backbone across every model and workflow

AutonomousAI AgentsReason, use tools and take action
EnterpriseEnterprise Data SourcesDatabases, documents and APIs
OrchestrationAI OrchestrationRoutes context, tools and models
IntelligentLLM OutputAnswers grounded in your sources
ComplianceCompliance & GovernanceControlled, logged and reviewable

AI orchestration pipeline

AI models we use

Leading Models, Chosen to Fit the Use Case

We work across the major frontier models and design so the model is swappable. The governance around it stays the same when the model changes.

Anthropic

Claude

OpenAI

ChatGPT

Google

Gemini

Integration & governance stack

The Platforms That Connect and Govern Your AI

Integration and orchestration platforms that connect models to enterprise systems, with the controls to keep them governed.

Workato

Enterprise integration and workflow automation

n8n

Workflow automation across apps and APIs

Airia

Secure AI orchestration and governance

Service capabilities

Three Ways We Put AI to Work

Capability 01

Agentic AI

AI agents that reason and take action, working through tools and multi-step tasks, with people approving the steps that matter.

  • Tool use and multi-step execution
  • Human-in-the-loop governance
  • Orchestration across enterprise systems

Capability 02

RAG Systems

Retrieval pipelines that ground answers in your own data, with citations back to the source each answer came from.

  • Hybrid search and reranking
  • Retrieval from databases, documents and APIs
  • Enterprise knowledge systems

Capability 03

Automation & Integration

Connect AI to your enterprise systems, so model output becomes action inside the workflows your teams already run.

  • Workflow and connector integrations
  • Event-driven automation
  • Audit trails and governance
Enterprise AI governance

AI Built Around Enterprise Security and Compliance Requirements

We design AI capabilities with your security, governance and compliance requirements in mind from the start, with controls built into the architecture rather than retrofitted after a pilot. Claude, ChatGPT and Gemini sit behind the same controls, so changing the model does not mean rebuilding the governance.

Governance controls support your compliance programme; they do not replace it. We work with your risk, security and legal teams to map the controls to the requirements that actually apply to you.

Human oversight
People approve the steps that carry risk; agents act within boundaries you set.
Access controls
Security filters applied at query time, per user, so AI sees only what the asker is allowed to see.
Auditable workflows
Full interaction and action logging, so risk and audit teams can trace what happened and why.
Reliable retrieval
Answers cited back to governed sources, and refusal behaviour when the data does not support an answer.
Responsible deployment
Evaluation before rollout, versioned prompts and models, and a kill switch that has actually been tested.
Our Technology Partners
Qlik logoMicrosoft logoDatabricks logoSnowflake logoAWS logoZenity logoAiria logo

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