Capabilities

Make the information usable. Give the agent a real job.

We connect the records, documents and operational events behind a workflow, then build an agent that can use that context within explicit boundaries.

An agent is only as useful as the information, permissions and workflow around it. We engineer those parts together, from the first assessment through production.

01

Connected data systems

  • Enterprise data assessment
  • Source integration and pipelines
  • Data quality and lineage
  • Identity resolution
  • Role-based access
  • Cross-system retrieval

We map where important data lives, how it relates and who can use it. Then we connect records, documents and operational events through pipelines, APIs and retrieval — with source history and access rules intact.

02

Controlled AI agents

  • Use-case and workflow design
  • RAG and grounded answers
  • Agent implementation
  • ERP, CRM and tool integration
  • Orchestration and tool use
  • Monitoring, audit and human approval

We design agents around a defined workflow. They gather evidence from authorised sources, follow a multi-step task and either act, recommend or hand the case to a person — with every important step recorded.

Also in scope

Heterogeneous data integration

ERP, CRM, SQL databases, document stores, email archives, APIs and flat files — connected without a rip-and-replace programme.

Retrieval-augmented generation

Enterprise search and retrieval that grounds agent outputs in the right records, passages and metadata.

Agent orchestration

Multi-step reasoning, tool invocation, sub-task delegation and controlled hand-offs between agents and people.

Governance and sovereignty

Policies for access, retention, logging and approval embedded in the data path and in each agent workflow.

Contact

Discuss a workflow worth improving.

We start with one process — how it works today, which data it needs and whether a focused agent could make it faster or easier to verify.