AI Agents

AI agents that operate inside the workflow—not beside it.

For customer intake, sales, support, internal operations, research, and tool-using workflows where context and action both matter.

AI Agents

Designed as part of your operating system—not as another isolated tool.

What we build

Agents can collect context, make bounded decisions, call approved tools, write to your systems, trigger handoffs, and preserve an audit trail.

  • Intake and qualification agents
  • Sales and follow-up assistants
  • Internal knowledge copilots
  • Research and enrichment agents
  • Tool-using operational agents

Where agents belong

We use an agent when the work requires language understanding, context, judgment within guardrails, or flexible tool selection. We do not use an agent for logic that should be deterministic.

  • Clear permission boundaries
  • Human escalation paths
  • Structured outputs where possible
  • Fallback behavior for uncertain cases

How we make them usable

A production agent is more than a prompt. We design the conversation, context retrieval, tool contracts, state handling, failure modes, and the human handoff around it.

  • Conversation and state design
  • Tool/API integration
  • Retrieval and knowledge context
  • Logging, evaluation, and iteration
Build the right version

Bring the workflow. We’ll pressure-test the architecture.

A short project brief is enough to start. We can scope the smallest useful version before adding complexity.

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