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AI Agents
Agents that work inside your own systems, with a named person approving what they produce.
We build AI agents for one recurring job at a time, such as checking marketing assets against regulations or answering staff questions from your own documents. Each agent runs in your Microsoft 365, Azure or AWS environment under its own identity.
AI Agents
What the work covers
Workflow agents
Agents that prepare the document, record or reply for a recurring task, with approval steps where your process needs them.
Agentic AICompliance and risk agents
Agents that check content or controls against written rules and show the evidence behind each verdict.
Compliance and risk agentsKnowledge assistants
Answers from your policies and documents, with a source for every answer and the permissions your users already have.
Enterprise RAG systemsCopilots for business functions
Agents for finance, HR, legal and IT teams, connected to the systems those teams use.
Business function copilotsMicrosoft 365 Copilot and Copilot Studio
Governed Copilot rollouts and custom agents built in Copilot Studio for your own processes.
Copilot Studio implementationAgents on AWS
Amazon Bedrock agents with permission-aware retrieval over your data on AWS.
AWS AI and dataProof
Work we can show you
European pharmaceutical regulator
2 to 3 hours → about 2 min
Compliance review per marketing asset. The AI scanner applies 11 rules to each asset, and more than 620 assets have gone through it in production.
Read the case studySince 2014
200+
Production deployments on AI and the Microsoft platform since 2014, for companies including Bayer, Takeda, Rockwell Automation and Burckhardt Compression.
How an engagement starts
From the first call to a workflow in daily use.
Every engagement starts with one scoped workflow and a written definition of done. Commercial terms are set in the statement of work.
- First call
A conversation with our team
You tell us about the program or the workflow you have in mind, the systems involved and who checks the work today.
- Scoping
One scoped workflow
We agree which workflow comes first and what done looks like for it: the inputs, the outputs, the accuracy it must reach and where a person approves the result.
- Before the build
A written definition of done
The acceptance criteria go into the statement of work with the deliverables and the commercial terms. Nothing is built before both sides sign.
- Delivery
Build, then run or hand over
We build in your environment and test against the criteria you signed. Then we run the workflow for you, or your own team takes it over with the documentation.
Go deeper
Related pages
- AI agent developmentHow we build agents with approval steps and their own identity.
- Agentic AIWorkflow, research and compliance agents.
- What AI agents costA buyer's guide to what drives the cost of an agent.
- Acceptance criteria templateThe sheet we sign before every build.
- Tell us the workflowScope a first agent and see its acceptance criteria.
Planning an AI program?
Talk to the team that builds it and runs it after launch.
- Built to SOC 2, HIPAA and GDPR standards
- EU AI Act-aligned delivery
- Microsoft Solutions Partner