Data foundation
Open up structured and unstructured sources with attention to quality and source permissions, using Fabric, BigQuery, Snowflake, Databricks or your existing environment.
OpenAI Accredited Partner


AI Agents need reliable data and clear rules. We combine data foundations with AI governance: from sources and access permissions to ownership, an agent register and human oversight.
We connect your data architecture to the agreements that determine who may do what. Technical choices and organisational control belong together.
Open up structured and unstructured sources with attention to quality and source permissions, using Fabric, BigQuery, Snowflake, Databricks or your existing environment.
Define roles, risk assessments, policy and decision routes with IT, privacy and compliance teams; not legal advice or certification.
Record each AI Agent’s purpose, owner, model, sources and permitted actions. Restrict access technically and make changes traceable.
Test quality, monitor output and decide where a person approves or intervenes. Include review and maintenance in daily operations.
Map sources, applications, ownership and existing agreements.
Create a target architecture and governance model around prioritised use cases.
Implement data connections, source permissions, the agent register and controls together.
Evaluate, document and hand over ownership and a review rhythm to your team.
Discover more about our approach and solutions.
Discuss your data sources, responsibilities and first AI applications with us.