The hardest part of AI right now isn’t capability — it’s deciding where it actually pays off and where it’s a distraction. That call is worth a senior operator who has watched this pattern repeat through every platform shift since the late nineties.
Illustration: example roadmap, not a customer.
In one sentence
AI strategy consulting is senior advice on where AI will actually pay off in your marketing and growth: a prioritized roadmap with the build-or-buy, automate-or-human and vendor calls made, the reasoning attached, and an honest “don’t build that” when it is the right answer.
Every vendor will tell you their tool is essential. The expensive question to get wrong is which two or three moves actually matter for your business this year.
The value is as much in the “no” as in the “yes”.
The output isn’t a slide deck that ages in a drawer. It’s a prioritized plan your team can execute.
A focused plan, sequenced by impact, not novelty.
What is worth owning, and what to rent.
Where autonomy compounds, and where it creates risk.
What actually earns its line item once the demo wears off.
So you can adapt the plan as the ground shifts, and it shifts constantly.
You work with Ryan Walker, not an account manager relaying notes.
Each call comes with its why, so your team can execute it, challenge it and adapt it as the ground shifts.
Illustration: example decisions, not a customer.
Ryan Walker co-founded Urchin, which Google rebuilt into Google Analytics, and has operated through every platform shift since as a founder, CMO and CRO.
You work with the person who has actually built and operated these systems, not an account manager relaying notes.
Avakata also builds, so the advice is grounded in what genuinely ships and lasts, with trade-offs named honestly, including when the right answer is “don’t build that.”
After the diagnostic you get a fixed scope and a fixed price for that scope, before anything is built.
We audit site, search and AI visibility, paid media and follow-up, with findings in plain language.
The build-vs-buy, automate-vs-human and vendor calls, made with your team in the room.
A prioritized, sequenced plan with the reasoning attached.
Advisory only, a roadmap you can run yourself or hand to your team, or with Avakata building and operating it.
Engagement models are described on the services page.
Ryan Walker directly — co-founder of what became Google Analytics, and an operator who has held CMO and CRO roles through multiple platform shifts.
Both. The advisory is grounded in the fact that Avakata also builds and operates these systems, so recommendations are tied to what actually ships.
A prioritized, sequenced AI roadmap for growth — with the build-vs-buy and automate-vs-human reasoning attached so your team can execute and adapt it.
Yes. Trade-offs are named honestly, including when the right answer is “don’t build that.”
No. It is a prioritized plan your team can execute, with the reasoning attached so you can adapt it as the ground shifts.
A focused AI roadmap for marketing and growth, with the build-vs-buy, automate-vs-human and vendor calls made, sequenced by impact rather than novelty.
Thirty minutes, screen-share, no slides — the person who built the engine walks you through what it would do on your site.