Workflow automation agents
Agents that complete repetitive multi-step processes end to end, freeing your team for higher-value work.
Services
AI Agent Development
Agents that actually finish the work.
ClaudeOpenAILangGraphTools API
Agents that actually finish the work.
Most AI answers questions. Agents do the work. We build multi-step, tool-using AI agents that carry a task from start to finish — pulling data, calling your systems, making decisions along the way, and knowing when to hand back to a human.
Our agents are built with Claude and OpenAI models orchestrated through LangGraph and the Tools API, so they can reliably chain steps, use your internal tools, and recover from errors instead of stalling. We design them around a specific job — a support workflow, a back-office process, an ops task — rather than a vague promise of autonomy.
Crucially, we build for trust: scoped permissions, human-in-the-loop checkpoints, logging of every action, and guardrails so an agent never quietly does the wrong thing at scale.
What we deliver
The core capabilities inside our ai agent development engagements.
Customer support agents
Agents that resolve real tickets by pulling context and taking action, not just replying with canned text.
Tool-using orchestration
LangGraph-based agents that reliably chain steps and call your APIs and internal tools.
Human-in-the-loop design
Checkpoints and approvals so people stay in control of consequential actions.
Guardrails & logging
Scoped permissions and full action logs so every agent decision is auditable.
Back-office automation
Agents for data entry, reconciliation, research and other ops that quietly eat time.
Who it's for
Is this the right fit?
We do our best work when the problem is a genuine fit. AI Agent Development typically makes sense for:
Teams spending hours on repetitive multi-step processes
Support operations that want genuine resolution, not just chatbot deflection
Back-office functions ripe for automation (data entry, reconciliation, research)
Companies that tried a basic chatbot and found it could not actually do anything
FAQ
Common questions
How is an AI agent different from a chatbot?
A chatbot answers. An agent acts — it takes a goal, breaks it into steps, uses tools and your systems to complete each one, and finishes the task. That is a much higher bar, which is exactly what we build for.
How do you keep agents from doing something harmful?
Through scoped permissions, human-in-the-loop approvals for consequential actions, guardrails, and full logging of every step, so agents stay controllable and auditable.
What do you build agents with?
Claude and OpenAI models, orchestrated with LangGraph and connected to your tools via APIs. We design each agent around a specific, well-defined job.
Let's build
Ready to start?
Tell us what you're trying to build. We'll tell you honestly whether we're the right team — and how we'd approach it.
Talk to us