Replace manual multi-step work with AI agents that take action
We build AI agents that do real work: CRM updates, emails, documents, approvals. Guardrails, audit logs, and human checkpoints included.
Last updated September 2026. US LLC in Wyoming. Our team works in your timezone.
The problem
Sound familiar?
Your team repeats the same multi-step process by hand
A lead comes in. Someone researches it, writes an email, updates the CRM, books a follow-up. Five manual steps per lead. It does not scale.
Zapier works until it does not
Your Zapier flow runs fine for six months. Then an API changes, a step fails quietly, and data stops flowing. Nobody notices for three weeks. No audit trail.
Your AI features need to act, not just write text
You want AI that books meetings, creates documents, updates records. A chat call only returns text. You need a system that does work.
Adding AI actions could break your current architecture
Your backend was not built for AI side effects. Letting an agent write to your database needs changes your team has no time for.
What do we actually do?
We build the agent around your exact workflow, with the tools it needs, guardrails to keep it safe, and an audit log. Real tasks done, not demos.
What changed in 2026?
In 2026 the model can call tools, read your CRM, and send the email. The hard part moved from the prompt to the guardrails. Most agent demos fail in production because nobody set action limits, approval steps, or an audit log. We build those first, then the agent.
What's included?
- Workflow map of every step, decision, and tool call
- Single-agent or multi-agent design to match complexity
- Tool integrations: CRM, email, calendar, database, documents, APIs
- Guardrails that hand off to a human when unsure
- Human approval steps where the workflow needs them
- Audit log of every action, timestamped and attributed
- Dashboard for completion, failure, and handoff rates
How it works
01.
Map
We document every step, decision, and tool the agent needs.
02.
Design
We design the agent, tool interfaces, and guardrails before coding.
03.
Build
We build the agent, wire the tools, and test on real cases.
04.
Monitor
We launch with audit logging on and tune from real failure data.
Proof it works
What we have already shipped
Case study
Pack Assist
8-week delivery, RAG + hybrid AI
Read the case study
Free tool
Agentic Workflow Template
Free resource for Software Founders & Builders.
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The offer
Free 30-minute discovery call
We listen first. No pitch decks.
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