Most of the value in a company's operations comes from rule-based work. We start with the smallest build that removes the most manual work. We add AI only where a rule can't do the job.
Rule-based handoffs that remove copy-paste work between tools.
Processes that span several tools, with approvals, exceptions, and clean data.
Agents that read, decide, and act across your tools. People stay in the loop.
Clients often arrive asking for an agent. About a third of the time, the right answer is a rule. Here is the rubric we use, so you can use it too.
| If the process… | We recommend | Because |
|---|---|---|
| The steps are the same every time | Automation | A rule is cheaper, faster, and never makes things up. |
| Many systems, branches, and exceptions | Complex workflow | Needs coordinated steps, retries, and a place for people to resolve odd cases. |
| Reading free text or documents | Workflow with an AI step | Pulling out data is where AI models earn their keep, inside a rule-based flow. |
| Judgment calls on each item | AI agent | When the right action depends on context, use an agent with tools and approval gates. |
| Customers talk to it directly | AI agent, supervised first | Start in shadow mode, where it drafts but sends nothing. Then add approval. Go live as accuracy proves out. |
A one-page scope within five business days of discovery. The price changes only if the scope does.
Working software every week, run against your real data. You test it. We adjust.
Tools, cloud, and AI model keys are all yours. We never hold data or credentials after handoff.
We score anything with an AI model in it against your past cases. You see the numbers first.
Docs written for the operator, a recorded walkthrough, and a training session for the team.
Fixes and adjustments after launch, then an optional retainer for monitoring and new work.
One paragraph is enough. We reply within a business day with questions or a time for a 45-minute call.