AI Efficiency Audit
A focused review of where AI and automation can save time or improve output.
- Workflow review call
- Opportunity map
- Priority scorecard
- First-build recommendation
- Written summary
These are example packages for an AI efficiency offer. Pricing can flex by scope, but the shape is deliberately simple enough for a client to understand without summoning a procurement demon.

Clear tiers, visible outcomes and optional retainers. Pricing can flex by scope.
A focused review of where AI and automation can save time or improve output.
Design and build one useful workflow: intake, content, reporting, CRM-style tracking or internal assistant.
A fast company website with structured content, reusable layouts and AI-assisted publishing workflows.
Prices are example figures and can flex by scope. They are easy to edit per project.
Once a useful system exists, the next gains usually come from iteration, not grand speeches.
Monthly check-in, minor improvements and prompt updates.
Ongoing automation, content system improvements and reporting.
Regular development capacity for firms that want a long-term AI/system sidecar.
They are example figures to show the shape of the offer. Final pricing flexes by scope, but the structure stays simple and easy to understand.
Almost everyone should start with the diagnostic. It's a small commitment with a clear output and low risk, and it tells us where to build first.
No. Retainers only make sense once a system is creating measurable advantage. Start with a one-off and add ongoing support later if it's worth it.
That's common. The same capability can be shaped as an audit, a sprint, a build or a managed layer, so we'll scope something that fits.
Small commitment, clear output, low risk. Book an audit and we'll find the workflow worth building first.