Ignition AI Workforce
Governed AI employees for outreach, lead intake and customer lifecycle operations
Saasgrave Launches
Ignition AI Workforce doesn't have to stay buried.
Someone is going to relaunch it and take the traffic. Make it you.
What it was
Governed Python AI-workforce platform for home-service customer intake, vertical-aware lead qualification, autonomous public-site outreach and the commercial lifecycle. Its outreach agent researches and qualifies prospects, respects country/time-zone working hours, uses governed email and browser-submitted contact forms, and has exact-once/idempotency, suppression and tested DNS/network/Gmail recovery controls. Deal, Deployment and Maintenance agents continue the lifecycle under human authority. Public demos: HVAC https://ai-workforce-platform-hvac-agent.streamlit.app/ ; Plumbing https://ai-workforce-platform-plumbing-agent.streamlit.app/ ; Electrical https://ignition-electrical-demo-v2.streamlit.app/ ; Lead https://ignition-lead-assistant.streamlit.app/ . Home-service agents retain trade-specific intake, safety and service context; the Lead Assistant has tested vertical-aware flows for law firms, real-estate brokerages and marketing agencies. Governed language refinement keeps replies natural/contextual while deterministic policies block autonomous invention of prices, discounts, booking times, guarantees or diagnoses.
The owner built and hardened a substantial governed AI-workforce platform, four public demos and an autonomous outreach operation, but did not reach paying customers or production deployments. Rather than continue funding customer acquisition and long-term operations alone, the owner is pivoting to an exclusive asset sale for a buyer positioned to commercialize and maintain it.
Four public employee demos were built for HVAC, plumbing, electrical and lead qualification. The outreach program researched 4,187 public-site prospects and sent 323 messages in August 2026, producing early replies but 0 closed deals. There were no paying customers or customer deployments; demo traffic was not measured.
Engineering and hardening outpaced customer acquisition, so a substantial product existed before a repeatable paid-deployment channel.
Stage autonomy carefully: deterministic policy should remain the authority, language models should refine ordinary wording, consequential actions need human approval, and exact-once/recovery controls matter as much as the happy path. Validate customer acquisition alongside engineering depth.
