Methodology

Five Phases. Written Commitments at Every Gate.

Every engagement follows the same disciplined process. Each phase has a written commitment — a specific promise we make and stand behind. No hand-waving. No “it depends.”

Phase 01

Diagnose

We will tell you not to hire us if projected year-one ROI is under 3x.

We start with your operation, not our product. We audit your call flow, quoting process, dispatch workflow, and revenue leaks. We talk to your CSRs, your dispatchers, your techs.

  • Deliver:Revenue leak map + ROI projection document
  • Timeline:1–2 weeks
  • From you:Access to your scheduling software, 2–3 team interviews, call recordings
TechExports Phase 1 diagnostic process: analyzing FSM data, call recordings, and team interviews to produce a revenue leak map
TechExports Phase 2 system architecture blueprint showing AI modules integrated with client FSM and communication channels

Phase 02

Architect

The roadmap document is yours regardless of whether we proceed together.

We design the system architecture, select modules from our library, identify custom work required, and set measurable targets for each deployment. You get a detailed roadmap with timelines, costs, and expected outcomes.

  • Deliver:Technical roadmap + module selection + target KPIs
  • Timeline:1–2 weeks
  • From you:Decision on scope, budget alignment, team availability

Phase 03

Deploy

Kill-switch on every deployment. Production-grade only — no demoware.

We build and ship into your live operation. Every automation has a kill-switch — if something breaks, you turn it off instantly. We integrate with your existing stack (ServiceTitan, McLeod, Jobber, whatever you run) and test in production with real traffic.

  • Deliver:Live production modules integrated with your stack
  • Timeline:3–8 weeks depending on scope
  • From you:API access, staging/prod environments, a point-of-contact
TechExports Phase 3 deployment timeline: staging, shadow mode testing, and live cutover over 4 weeks with quality gates
TechExports Phase 4 measurement dashboard showing AI automation KPIs: call answer rate, quote speed, and revenue impact

Phase 04

Measure

If a workflow underperforms its projection by 20%+, we redesign on our dime.

We track every deployed workflow against the projections we set in Phase 2. No vanity metrics — we measure what hits your P&L: lead capture rate, quote turnaround, dispatch efficiency, cost per acquisition.

  • Deliver:Monthly performance report against KPI targets
  • Timeline:Ongoing (30/60/90-day checkpoints)
  • From you:Revenue data access for validation

Phase 05

Scale

Flat monthly fee with SLAs. We bill predictably or not at all.

What worked gets expanded. What underperformed gets rebuilt (on our dime, per Phase 4 commitment). We add the next module, open the next vertical, compound the operational gains. Ongoing support is a flat monthly fee — no surprise invoices, no hourly billing games.

  • Deliver:Expanded automation footprint + ongoing optimization
  • Timeline:Month 4+ (ongoing engagement)
  • From you:Continued partnership and feedback loop
TechExports Phase 5 scaling roadmap showing AI module expansion from single deployment to full automation stack

See If Our Methodology Fits Your Operation.

30 minutes. We walk through your current stack, identify the highest-leverage automation, and tell you honestly whether we’re a fit.