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AI Workflow Integration

Narrow agents that handle a specific task, every day, reliably.

The agents that work in production are narrow. They do one thing — qualify leads, process documents, coordinate staff messages, route data — and they do it consistently. The scope is what makes them dependable.

The return is straightforward: a recurring manual task, handled. If your team spends real hours every week on something a bounded agent could handle, that's a project with a clear shape and a clear payoff.

What this covers

  • Staff coordination agents: async messaging, data lookup, process guidance
  • Lead qualification and routing integrated with your existing CRM
  • Document processing: invoice extraction, form handling, contract review
  • Communication bridging between humans and databases — no forms, no clicking
  • AI layers added to existing systems for defined, repeatable interactions

How these get built

Requirements work first. What does the agent need to know, what does it have access to, where does it hand off to a person, and how do you verify it's doing the right thing? The answers shape the build.

Production agents are built around guardrails — narrow tool access, clear handoffs, real test cases. The agent for Smoky Pepper, for example, can file inventory requests and send reminders. That's it. The restrictions are why it's reliable.

Good fit for

  • Businesses with a high-frequency task they want to stop handling manually
  • Operators whose existing AI tools don't fit their workflow
  • Technical buyers with a spec who want an implementer who can pressure-test it
This is for specific, defined problems. If you're not sure what to build, start with Discovery & Assessment.
Talk to us about your project See a real example: Smoky Pepper
DevStacks
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