An agent is a model plus the tools it can use and the data it can see. We scope all three with you, build the agent into the systems you already run, and test it against real cases before it touches a customer.
Operations & back office
Read inbound emails, forms and documents, extract what matters and update your CRM, ERP or spreadsheets.
Sales & lead handling
Qualify leads, enrich records, book meetings and route hot prospects to the right person.
Support triage
Classify tickets, draft replies from your knowledge base and escalate edge cases with full context.
Internal assistants
Give your team one place to ask questions across docs, tickets and databases, with answers that cite sources.
What you get
- Scoping workshop and a written agent spec
- Tool and API integrations (CRM, helpdesk, email, databases)
- Approval steps for any action with real-world impact
- Evaluation set built from your own data
- Monitoring, logs and a dashboard for every run
- Handover docs and team training
Common questions
How is an AI agent different from a chatbot?
A chatbot answers questions. An agent can also take actions (look things up, update records, send messages) inside limits you set.
Which models do you use?
Whatever fits the job and your data rules: OpenAI, Anthropic, open-source models, or a mix. We stay model-agnostic so you are not locked in.
How do you keep an agent from doing something wrong?
Narrow permissions, human approval for risky actions, and a test set we run on every change. Anything the agent is unsure about goes to a person.
Further reading
All postsAI··1 min read
Before you build an AI agent, answer these five questions
Most agent projects that stall do so for boring reasons: unclear scope, messy data, nobody owning the edge cases. Here is the checklist we run first.
AI··1 min read
RAG or fine-tuning? A plain-English way to decide
Two ways to make a language model know about your business. They solve different problems, and picking the wrong one is expensive.
Tell us what you're building and we'll tell you how we'd approach it, whether that's AI, Web3 or just a really solid app.