Production AI agents in your stack. Working with your team. Reliably automating the workflows that eat your hours.
Your team spends real hours every week on work that an AI agent could do reliably. Invoice processing. Email triage. Document review. Quote drafting. Compliance checks. The tasks are well-defined, the data is structured enough, the rules exist somewhere.
But getting an agent into production is harder than the demos suggest. The agent needs to handle edge cases, integrate with your tools, work within your governance, and recover when something unexpected happens. Most efforts stall in proof-of-concept. We don't.
We design agents specifically for your workflows, build them in your stack, test them against your real data, and ship them with monitoring. The first agent goes live in 6 weeks.
Where the work happens today, what good looks like, what the agent must respect.
Tools, prompts, context, fallback paths. Designed for the messy reality of your operations.
Production code in your stack. Connected to your CRM, ERP, email, or whatever your team uses.
Monitoring, audit logs, human-in-the-loop checkpoints, rollback plan.
Agent Design lives in Compose (where we design the agent) and Rehearse (where we deploy and refine it). It's the most common entry point for teams that already know which workflow they want automated.
Pairs with: Integration & Connectivity (so the agent can reach your tools) and AI Governance (so it stays in bounds).
A typical first deployment: a property management firm spending 4 hours per day triaging tenant emails. We designed a triage agent, integrated with their inbox and CRM, deployed in 6 weeks. Average response time dropped from 18 hours to 90 seconds. Their team got 20 hours a week back, redirected to higher-value work.
90 minutes. No obligation. Walk away with a clear view of the workflow we'd automate first.
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