Rocky Labs
Automation

Agentic AI

AI agents that look things up, use your tools and finish the task.

An agent is a language model with access to tools such as your database, calendar, CRM or internal APIs. It plans a few steps, calls those tools and reports back. We build agents for specific, bounded jobs, with limits on what they can do and a log of every action.

This is for you if

  • A task takes several steps across different systems, and a person does each one by hand.
  • You have a chatbot prototype and want it to take actions as well as answer questions.
  • You want to try agents, but giving AI access to real systems makes you nervous.

What you get

  • A task definition with clear limits on what the agent may do
  • Connections to your systems and APIs
  • Approval steps for risky actions
  • Evaluation tests, so changes are checked before release
  • Action logs and cost tracking
  • Deployment and a handover session

What this can look like

Examples of the kind of work we take on.

Research and data gathering

Search sources, read pages or documents and fill in a table, with a link to where each answer came from.

Operations helper in Slack

An internal agent that checks an order, updates a record or opens a ticket when a teammate asks.

Back-office tasks

Reconcile two data sources, draft the follow-up emails and wait for approval before anything is sent.

Tools we use for this

  • Claude API
  • OpenAI API
  • Model Context Protocol
  • LangGraph
  • Python
  • TypeScript
  • Postgres

Common questions

Is it safe to let an agent use our systems?

It gets only the permissions the task needs. Anything that spends money, deletes data or contacts a customer can require approval first.

Which AI model do you use?

Whichever does the job well at a sensible cost, usually from Anthropic or OpenAI. We keep the model swappable so you aren't tied to one provider.

For anything else, email [email protected].

Related services

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