A practical path to AI
that actually runs.
Four steps. Paid diagnostic. One real workflow installed. Handoff to your team. Then we stay involved while it compounds.
Find the bottleneck worth solving first
We start by understanding the team, the admin load, the repeated requests, and where AI would actually create leverage. Not every workflow is ready to be automated — we pick the one that is.
- Review current workflows and pain points
- Identify highest-value first use case
- Decide local hardware vs cloud approach
- Scope the first implementation clearly
Build the first system inside the business
Once the workflow is chosen, we set up the stack, connect the right tools, and install the system into the business — instead of leaving it as an abstract idea or a deck on someone's desktop.
- Account, model & stack setup
- Workflow design with operating rules
- Integration into existing tools
- Test runs against real inputs
Make sure your team owns it
A system nobody uses is shelfware. We train the people who'll run it, write the playbook, and stay in a support window while it beds in. Handoff is non-negotiable.
- Live training sessions with the team
- Operating playbook and prompt library
- Post-launch support window
- Owner review of system metrics
Stay involved while it compounds
After launch, most clients move into an ongoing optimization retainer. Maintenance, tuning, advisory, and scoped next-step builds. The system doesn't drift; it improves.
- Monthly maintenance and updates
- Prompt and workflow tuning
- Advisory time and quarterly review
- Expansion work scoped separately
Audit first.
Then install.
We'll figure out the highest-leverage first step for your business, scope it properly, and credit the audit toward the build.
Book your AI audit