Improve margin per job without reflexive price hikes.
Identify pricing power, packaging opportunities, and job-cost leak signals where the data supports it.
What this actually moves.
Identify pricing power, packaging opportunities, and job-cost leak signals where the data supports it.
Some service businesses have pricing power or job-cost leakage they don't see because nobody has the data structure to surface it. Recommendations are confidence-scored. Job-cost leak detection can run in parallel through the Quality & Performance Agent.
The Pricing Optimization Agent does the recurring work. The Truth Architecture framework keeps recommendations defensible. The named Aegis advisor handles calls that require senior judgment.
The engagement shape.
AI Readiness Assessment. Paid diagnostic. Tests whether this outcome is realistic in your specific situation and names the constraints.
Quick Win Plan. Paid project deliverable under AI Strategy Consulting. Scopes the workflow redesign and agent deployment path for this outcome, with timing set during discovery.
Pricing Optimization Agent. Modular AI Agent Services subscription. Handles the recurring work that helps sustain the outcome.
Aegis Advisory. Optional. Named human advisor configures and supervises the agent when senior judgment is needed.
Frequently asked questions.
How long until I see the outcome?
Quick Win Plan engagements are scoped to reach a first measurable signal quickly, but timing depends on data access, workflow complexity, and adoption capacity. Sustained outcomes usually require the new rhythm to harden over time.
What if I already bought a tool for this?
Common. Many engagements work with an existing tool deployment that didn't stick. The workflow redesign often makes the tool you already own usable.
What size company is this right for?
Common fit is $2M-$50M revenue. Below $2M, the right shape is often a narrow Quick Win Plan plus a single agent subscription rather than a broader advisory scope.