Advisory · marketing & sales scope

AI that earns its keep in your funnel.

Which AI use cases pay off in marketing and sales — and which are theater. A roadmap tied to revenue, not an enterprise transformation deck.

The buying question

Which AI use cases are actually worth it in marketing and sales?

The ones that remove a measurable bottleneck in your funnel. A sound AI strategy ranks use cases by revenue impact and implementation effort — content velocity, lead routing, competitive monitoring, launch speed — and ignores demos that impress but don't move pipeline.

What changes

A roadmap, not a wishlist.

You leave with a ranked plan: what to automate first, what to pilot, what to skip — each item tied to a funnel metric someone already owns.

  • Use cases ranked by impact × effort
  • Quick wins separated from structural bets
  • Owner and metric assigned per initiative
Why us

We run on our own advice.

Every recommendation comes from tooling we built and use daily — launches, intel, visibility, content. You're buying operating experience, not slideware.

  • Recommendations tested in our own stack first
  • Vendor-neutral: build, buy or skip
  • Compliance considered from day one, not bolted on

Questions teams ask about this

Is this an enterprise AI transformation program?

No — deliberately not. The scope is marketing and sales: funnel, content, launches, intel. Focused scope is why it ships in weeks, not quarters.

What does the 30-minute scan cover?

Your funnel mapped against common AI use cases, ranked by likely impact and effort — enough to know where to start, free and without obligation.

Do you implement, or just advise?

Both. The strategy stands alone if you have a team; if not, we implement with our own tools and hand over something your team can run.