AI workflows and agents that survive real work.
We connect models to the inboxes, CRMs, documents, and internal tools where the job already happens. Every build includes tests, failure handling, and a human decision point for risky actions.
What is included.
- ✓Workflow map and a written risk boundary
- ✓Model, tool, and integration selection
- ✓Prompts, retrieval, and structured outputs where needed
- ✓Eval cases based on real inputs and failure modes
- ✓Logs, monitoring, retries, and human approval gates
- ✓Deployment notes and an operator runbook
How the clock works.
We collect real examples, define the expected output, mark sensitive data, and decide which actions always need a person.
The agent gets the smallest set of tools and permissions needed for the job. Integrations are tested with safe fixtures first.
We test normal cases, ambiguous requests, tool failures, prompt injection, and bad source data before the workflow touches production.
You get logs, cost and failure visibility, a rollback path, and a runbook for updating prompts, tools, and eval cases.
Bring this kind of brief.
- ✓A repeatable inbox, CRM, research, support, or operations workflow
- ✓A team with real examples and a clear definition of a good result
- ✓A process where automation can save time without hiding accountability
What changes the scope.
- •We do not give an agent broad production access because it is convenient
- •Workflows that read untrusted content keep a human gate before public or irreversible actions
- •A vague request to automate everything needs a narrower first workflow before we quote it
Recent work and notes.
Before you send the brief.
Which AI models do you use?
We choose after seeing the task and eval cases. A workflow may use OpenAI, Anthropic, or a smaller model. The decision is based on accuracy, latency, data rules, and cost.
Do you build autonomous agents?
We build agents with explicit boundaries. Low-risk, reversible steps can run automatically. Sensitive, public, or irreversible actions keep a human approval step.
What do evals cover?
Real examples, edge cases, malformed inputs, missing context, tool failures, prompt injection, and any business rule that can change the correct answer.
Can this connect to our current tools?
Usually. Common targets are CRMs, shared inboxes, document stores, databases, and internal APIs. We confirm access and rate limits before fixing the scope.
Every brief gets a written reply within 24 hours.
If we miss it, the website or audit fee on your first project is refunded 100%.