AI Agent Development Company

AI agent development for work that has to be right.

Agents that answer questions and take actions inside Teams, your web app or a mobile app, grounded in your own data, with every step logged and a person in the loop where it matters.

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Pilot: 4–6 weeks on your data
Ideal for: Operations, support, finance and clinical teams
Stack: Claude, Azure AI Foundry, Azure OpenAI, LangChain, .NET 8, Python
Runs in: Your Azure, AWS or private cloud

A demo agent is easy. A production agent has to sign users in, respect who can see what, call real systems without breaking them, explain its answers and cost a predictable amount each month.

We design for those requirements from the first week, so the pilot you approve is the system you deploy.

What we build

Task agents with tool useAgents that look up records, create tickets, draft emails or update a CRM through typed, permission-checked tools.

Natural-language data questionsPlain-English questions turned into safe, read-only SQL over your warehouse, with the query shown for review.

Retrieval over your documentsHybrid semantic search over policies, contracts and manuals, with answers that cite the exact page.

Streaming chat APIsServer-sent-event chat APIs with conversation memory, rate limits and retries, ready to embed in any app.

Human approval stepsAny action that changes data or reaches a customer can wait for a person to approve it.

Clear stages. You decide at the end of each.

Discovery

Map the workflow, systems and rules. Agree the questions the agent must answer.

1–2 weeks

Pilot

A working agent on real data inside your tenant, scored against your test questions.

4–6 weeks

Harden

Auth, audit logs, monitoring, load tests and a security review.

4–8 weeks

Run

Track quality and cost, tune prompts and retrieval, add the next use case.

ongoing

What teams ask us about this.

Which model will the agent use?

The one that fits the task and your contracts. We test Claude, Azure OpenAI and Bedrock models against your own questions and recommend on accuracy, latency and cost.

How do you stop an agent doing something harmful?

Tools are scoped to the user's permissions, writes are off by default, risky actions need human approval, and every call is logged so it can be reviewed.

What does it cost to run?

We estimate monthly model and hosting cost during discovery and add caching and routing so simple questions use cheaper models.