Grow with AI
Turn AI into revenue leverage — not another pilot lost in the stack.
A focused mandate for companies who want AI to move the top-line: sharper positioning, content and distribution systems that actually ship, sales enablement, customer intelligence, and the operating cadence that lets the team learn faster than the market.
When it fits
- Marketing, sales, or customer success needs to 10x output without 10x headcount.
- You have content and campaign bottlenecks; the funnel leaks attention.
- Customer intelligence is scattered across tools — no single source of truth.
- Revenue workflows need rebuilding for an AI-native world.
What you get
- 01Positioning audit and sharpening — who you are to whom, and why now
- 02Content and distribution system, AI-powered where it earns its keep
- 03Sales enablement stack — materials, signals, automation
- 04Customer intelligence setup — signals, personas, jobs-to-be-done
- 05Revenue workflow automation mapped, built, and handed over
- 06Growth dashboard and operating cadence the team can run without me
How it works
- 01
Week 1–2 — Audit
Current growth stack, funnel, signals, and content review. Interviews with sales, marketing, and customer teams.
- 02
Week 3–4 — Design & prototype
Positioning sharpening, workflow designs, first prototypes of content and sales enablement pipelines.
- 03
Week 5–8 — Build & deploy
Build out the production workflows, deploy with your team, iterate based on live data.
- 04
Optional — Ongoing mandate
Continue as a monthly retainer to run the growth cadence, interpret signals, and keep the system compounding.
Pricing
Priced per engagement based on scope, depth, and whether you continue on a monthly retainer. Discovery call scopes a fixed fee for the first 4–8 weeks.
A 20-minute fit call is the fastest way to scope the engagement and land on a number that makes sense for both sides.
Questions leaders ask
- How do I get my people to actually use AI? →
Treat it as a change in how people work, not a software rollout. Explain why it matters and what the plan is, equip managers to lead it in their teams, redesign a few real workflows, give hands-on training, and use AI visibly yourself.
- Why aren’t we seeing a return on AI, and how do we measure it? →
Most companies measure activity, such as logins, pilots and projected savings, instead of the business result the work was meant to change. Set a baseline before you start, tie each initiative to one named profit, cost or customer measure, and review it at executive level every quarter.
- What should our AI strategy be, and where do we focus? →
Start from your business strategy and the problems that matter most, not from the technology. Choose a few areas where the value is large, redesign them end to end, decide where AI should drive growth as well as efficiency, and be explicit about what you will stop doing.
All AI leadership principles and guides · 100 AI use cases by function
See if Grow with AI is the right fit.
A 20–30 minute call. You share the pressure; I tell you whether this engagement solves it, or another one on this site fits better.