AI Deployment System
A practical system for turning AI ideas into working business processes with clear inputs, owners, review points, and measurable outcomes.
Turn AI ideas into working business processes
For growing companies that need AI to fix actual work: lead response, proposals, reporting, onboarding, support, customer follow-up, and the handoffs that slow teams down.
The six-step process
- Find the workflow: Pick one repeated process that is slow, messy, missed, or expensive enough to matter.
- Map the inputs: List the forms, calls, notes, CRM fields, emails, policies, and examples the workflow needs.
- Set the review point: Decide what AI can prepare and what a person must approve.
- Build the first version: Create one trigger, one output, one owner, and one place to review it.
- Run it with real work: Test normal cases, messy cases, and cases where AI should stop for review.
- Improve what changed: Keep, adjust, or stop the workflow based on response time, rework, missed steps, and owner adoption.
Good first workflows
- Website Contact Form Routing: Route new inquiries with the right source context and owner.
- B2B Lead Scoring: Score lead fit and route qualified opportunities for review.
- Proposal Compliance Review: Check proposals before claims, scope, or pricing go out.
- Weekly Performance Reporting: Turn scattered updates into reviewable operating briefs.
AI Readiness Matrix
- Example Deployment Brief: See the minimum operating detail needed before an AI workflow is built.
- Before And After Workflow Map: See what changes, what stays reviewed, and what gets measured.
- What To Automate Vs What To Keep Manual: See where AI prepares work and where people keep decisions.