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AI & Automation

AI Agents

An agent is only useful when its job, its tools and its boundaries are clear. We design narrow agents that complete real tasks — triage, drafting, lookups, routing — and hand off to a human when confidence drops.

The problem

What usually brings teams here

  • Repetitive multi-step work moves slowly between tools and people.
  • Open-ended agents wander and produce unpredictable results.
  • There is no audit trail for what an automated system did or why.

Capabilities

What we deliver

  • Tool design

    Typed, permissioned tools so an agent can only do what it should.

  • Human handoff

    Confidence thresholds and review queues instead of silent failures.

  • Observability

    Traces of every step, input and decision.

  • Workflow integration

    Agents that live inside your CRM, inbox or internal tools.

Technology

What we build it with

  • LLMs
  • AI Agents
  • Vector Databases
  • Node.js
  • Python

How we work

  1. 01Map the task
  2. 02Constrain the tools
  3. 03Add review
  4. 04Expand scope carefully

Industries

Where this applies

Related services

Often built alongside

How AI Agents Are Changing Business Automation

FAQ

Common questions

Can an agent act without approval?
Only where you allow it. We separate read actions from write actions and gate anything irreversible.

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