What's included

AI readiness assessment across marketing, sales, and operations
Use-case prioritization workshop to find the highest-leverage automations
Workflow mapping for intake, follow-up, reporting, and handoffs
Tool evaluation and vendor selection, matched to your existing stack
A scoped pilot with clear before/after measurement
Staff training and an adoption plan so the system actually gets used

How we approach it

We start by auditing the manual work your team already does — not by pitching a tool. Most organizations have three to five processes that eat a disproportionate amount of staff time: intake, follow-up, reporting, and content production are the usual suspects.

From there we map the data flow: what comes in, who touches it, what decisions need a human, and where a rule-based or AI-assisted step could remove the wait without removing judgment. Every workflow gets an explicit review checkpoint for anything client-facing, compliance-sensitive, or public.

We recommend specific tools for your situation — not a generic AI stack. If your team already runs HubSpot, Pipedrive, or a spreadsheet-based process, we build around it rather than replacing it wholesale.

Every engagement starts with a scoped pilot on one workflow, measured against a clear baseline (response time, hours saved, error rate) before we recommend expanding further.

Frequently asked questions

How is this different from just buying an AI tool?

Most AI tool purchases fail because the process around the tool was never mapped. We define the workflow, the review points, and the success metric first, then match a tool to that — not the other way around.

Do you build the automations yourselves?

Yes. We design the workflow and build it in the platforms you already use or a small set of well-supported tools, then hand off documentation your team can maintain.

What if our data or process is sensitive?

Sensitive or public-facing workflows get an explicit human review step before anything goes out automatically. We scope this at the start, not after something goes wrong.