Start with the work people repeat
An automation should solve a recognizable operational problem: information copied between systems, documents routed for review, requests waiting for an owner, or staff repeatedly looking up the same answer. I map that process before deciding where AI belongs.
What the engagement covers
- Workflow discovery and identification of manual handoffs.
- API integrations and event-driven processing.
- AI-assisted extraction, classification, drafting, or routing.
- Human review for ambiguous and consequential steps.
- Error handling, retries, and operational visibility.
Build around the business process
Some steps have clear rules and should remain deterministic. Others involve interpreting language or finding context and can benefit from an LLM. The architecture separates those responsibilities so a model change does not require rebuilding the entire process.
The Contractors Toolbox demonstrates structured operational workflows. Civicore demonstrates role-based coordination across an application platform. Neither is presented as evidence of an unmeasured automation saving.
Common questions
Is this only for large businesses?
No. A well-defined recurring workflow is a better starting point than company size.
Will this replace our existing tools?
The initial goal is to connect useful tools and improve a specific process. Replacement is considered only when the current system creates a real constraint.
Can you support the automation after launch?
Yes. Ongoing support can cover failed tasks, changing APIs, evaluation, and workflow improvements. Read agents versus conventional automation.