AI agents for business workflows
Agents that finish a task end-to-end, not just answer.
Building and shipping AI agents that run business workflows — from intake to action inside your systems.
Who this is for
- Managers who saw flashy demos and want to know what's really possible today.
- Teams with repeat manual workflows (slicing data, sorting, drafting, summarizing).
- Startups that need a dedicated agent as part of their product.
What you get
- Workflow mapping — where an agent adds value vs. where it just adds complexity.
- A clear architecture: which models, what to self-host, what to call via API.
- Agent built with tools (MCP) connected to your systems.
- Success metrics and human review flow — not just "looks great".
How it works
- 01
Workflow diagnosis
Pick one high-volume workflow with a clear success metric.
- 02
Prototype
First agent in 1–2 weeks. We measure it against a human.
- 03
Ship
Integrations, permissions, monitoring.
- 04
Tune & maintain
Monthly review. The agent gets better over time.
FAQ
Which models do you use?
Whichever fits: Claude, GPT, Gemini, local models. Chosen by quality, cost, and privacy needs.
MCP — do I need it?
When the agent has to talk to your systems, MCP is the healthiest path today. Avoids one-off integrations.
What does it cost to run monthly?
Depends on volume. Most business agents we build land at $50–$500/month including everything.
Have a workflow that fits an agent?
A one-month pilot is enough to know if it pays off. No commitment to a big project.