

AI Automation · Implementation
For a specific, already-identified workflow that needs automating — lead scoring, lead routing, reporting — built with a defined human checkpoint on anything with real consequence if it's wrong.
Automated track
Lead scoring, routing, report assembly — the mechanical, high-volume part.
No added headcount needed as volume grows, since the mechanical part doesn't need judgment.
Human-checkpoint track
A scoring model drifts, a routing rule misfires — nobody notices until the downstream damage already landed.
Placed where a wrong output has real, hard-to-reverse consequence — not on every step regardless of risk.
Both tracks merge into one workflow: the repetitive part runs on its own, the judgment calls still reach a person — which is what lets it scale in volume without scaling its error rate alongside it.
Methodology
Implementing that framework against one specific, already-identified workflow.
Read the full framework reference →
The same framework documented across our engineering work, applied here specifically to marketing and operations workflow implementation.
4-stage
Human-in-the-Loop Automation Framework
1
Control layer connecting automation to the same CRM used by humans
0
Automated decisions without an audit trail
Field Service Management
3-Tier
Tenancy model: power admin, account, tenant admin
Marketing Agency Technology
397
TypeScript/TSX files shipped
Home Services
$4.07 AUD
Average CPC (Sydney market, 30 days)
Anything where a wrong output has real consequence and can't be quietly corrected — pricing communicated externally, compliance language, client commitments.
Yes — a common engagement is auditing an existing automated workflow for silent failure points.