Diagnose the operating system.
Map the workflow, current software, owners, exceptions, baseline, and capabilities already paid for.
See the Business Diagnostic →Solutions
Start with the expensive problem, not the AI tool.
Three engagement paths cover the strongest demand visible across current Canadian business adoption data and the problems already arriving through LaunchSoloAI’s own buyer signals.
01 · LEAD OPERATIONS
Missed enquiries, slow quotes, broken follow-up.
Map the handoff, connect the sources, automate the safe steps, and keep a human owner for exceptions.
For contractors, clinics, and service teams → 02 · PRODUCT RELIABILITYThe AI-built product shipped. Now it has to hold up.
Audit auth, data isolation, webhooks, error handling, deployment, and AI behavior against explicit acceptance tests.
For founders and product teams → 03 · AGENT CONTROLAutonomous work needs cost and evidence boundaries.
Estimate and cap routed spend, constrain scope, detect failure conditions, and require proof before merge.
For developers and engineering teams →Inspect the output.
Open a public demonstration report showing evidence labels, ranked dependencies, human boundaries, and stop conditions.
Open the sample report →Common foundation
Every path uses the same four controls.
The system may use different models and integrations, but the operating model stays consistent.
OwnerOne named human owns the outcome and exceptions.
BoundaryScope, permissions, spend, and stop conditions are explicit.
EvidenceLogs, tests, or workflow records prove what happened.
FallbackFailure returns safely to a person or known process.
Not sure which path?
Describe the symptom.
I will identify the likely first system to inspect.