Service Flow Mapping
Document intake, qualification, scheduling, dispatch, handoff, and follow-up paths.
Services
Everything needed to make, review, and publish a service AI Skill.
Choose a focused service or combine the whole pipeline into a deployment-ready pilot.
Core service modules.
Each module produces a practical artifact your team can review.
SOP Structuring
Turn scripts, checklists, and docs into explicit skill rules and examples.
Skill Generation
Create prompts, boundaries, expected outputs, and fallback behavior from approved structure.
QA Review
Test policy coverage, edge cases, escalation language, and human approval gates.
Static Demo Deploy
Package a static site or demo artifact that can publish to local output or S3.
Iteration Support
Refine skill behavior after operators review outputs and identify gaps.
Spotlight
Pilot a skill around one high-friction service moment.
The best first project is specific: a new-client intake, estimate prep, troubleshooting script, renewal check-in, scheduling handoff, or post-job follow-up.
How it works
A typical engagement.
Small enough to start, structured enough to prove.
01
Select one service process
Pick a workflow with visible pain, repeatable decisions, and enough examples to test.
02
Collect source material
Bring SOPs, scripts, intake forms, messages, call notes, or checklists.
03
Map decisions and exceptions
Identify what the AI Skill may do, what it must not do, and when it should escalate.
04
Generate and review
Produce the skill recipe and review it with the operators closest to the work.
05
Publish a demo
Export a static example site or package for stakeholder review.
Know which workflow should go first?
Use the intake form to name the process, attach the source materials, and define the outcome.