Discovery Sprint
Map your highest-leak workflow and define the first production build.
- Workflow review
- Opportunity map
- Prioritized build plan
Send one messy call path, stale quote, or after-hours request. The first pass shows where time is being wasted, what revenue could be slipping away, and whether you need AI intake, live answering, custom integration, or no phone vendor yet.
No platform purchase or long form is required to start.
The first response should identify the workflow leak and missing facts.
Leak map, intake questions, guardrails, owner handoff, and first build path.
Estimate admin sorting avoided and compare at-risk call value before scope.
Map your highest-leak workflow and define the first production build.
Deploy your first production-ready workflow end-to-end.
Improve quality over time with iterative optimization and expansion.
Send one messy workflow: a missed call, after-hours lead, Google Business Profile call path, stale quote, scheduling handoff, or photo collection problem. The first reply turns it into a practical memo before any platform or build decision.
Share what the caller asks, where the request lands today, what your team does next, and where the handoff gets messy.
Expect a leak map, intake questions, do-not-promise boundaries, handoff destination, and recommended first build path.
The audit clarifies whether you need human answering, AI phone coverage, custom workflow integration, or no phone vendor yet.
Public vendor pricing changes, so verify current terms before buying. Last checked May 25, 2026 against the linked vendor pricing pages; the practical comparison is per-call AI receptionist, per-agent phone AI, receptionist minutes, per-minute voice AI, or workflow-first implementation. The cheapest phone coverage can still be expensive if it produces vague notes, missed urgency, or callbacks with no job context. Estimate contractor AI receptionist cost.
| Option | Public price model | Best fit | Risk before audit |
|---|---|---|---|
| Smith.ai AI receptionist | Self-service plans publicly start at $95/month; guided annual plans start at $500/month. | Managed AI reception with integrations, call summaries, and live-agent backup. | Buying coverage before defining trade-specific intake and escalation rules. |
| Goodcall phone AI | Monthly plans publicly show $79, $129, and $249 per agent, with unique-customer allowances. | Self-serve AI phone agents when the flow, forms, and logic are already clear. | Launching fast with a call path that still misses owner-ready context. |
| Ruby-style live answering | Receptionist-minute plans publicly start around $250/month for 50 minutes. | Human receptionist coverage, messages, routing, intake, scheduling, and caller reassurance. | Polite pickup can still leave vague notes if the script misses job context. |
| Bland-style voice AI | Public pricing starts at $0.14/minute with higher-volume platform tiers. | Teams that want programmable voice AI and can own the implementation logic. | Per-minute automation without contractor-specific guardrails and handoff proof. |
| Cape Fear workflow-first | Scoped after one workflow review; no phone platform purchase is required to start. | Local service teams that need the first leak mapped before selecting a vendor. | Scope must stay narrow: one workflow, one handoff, then expansion. |
AI receptionist pricing page checked May 25, 2026.
View Smith.ai pricingPublic phone-agent pricing page checked May 25, 2026.
View Goodcall pricingVirtual receptionist plans page checked May 25, 2026.
View Ruby pricingVoice AI pricing page checked May 25, 2026.
View Bland pricingIf your workflow is bleeding opportunities, start with Discovery Sprint. If the process is mapped but not implemented, start with Buildout. If the system is live and needs compounding gains, start with Optimization.
Prioritize Discovery when leads arrive after-hours or while team response is overloaded.
Read about urgent lead handlingPrioritize Buildout when teams lose leads in callbacks, quote updates, or scheduling transitions.
Read the 5 PM lead leak checklistPrioritize Optimization when workflows are in place but still create repeated manual cleanup.
Read the AI intake playbook