Advisory

Build AI featurespeople actually use.

I work with B2B SaaS teams whose AI features shipped well and then went unused, and with product people who want to move faster than their org chart. I take on a small number of engagements at a time.

Yakir Hannan, product growth for AI-native B2B SaaS
11+
Years driving product growth across fintech, cybersecurity, and AdTech
10M+
Daily active users on a platform I ran growth for
0 to 1
AI products built and shipped, each validated against live production data
14K+
Product people following the work on LinkedIn
When teams reach out
  • The AI feature shipped 2 quarters ago. The demo was great. Usage is flat and nobody can explain why.
  • Activation looked solved until the product got an AI layer, and now the funnel numbers make no sense.
  • The free tier is bleeding inference cost, and finance is asking questions product cannot answer.
  • The board asked what the AI investment returned, and the answer is a list of shipped features.

The cost of leaving it alone compounds. The R&D time is already spent and the inference is already billed, and every quarter without an adoption number makes the next AI budget harder to defend.

For companies
01

Strategy Session

90 minutes on 1 problem. You bring the data and the decision you are stuck on. You leave with a position, the reasoning behind it, and what to do next.

90 Minutes 1 Problem Recorded
02

AI Adoption Audit

2 weeks, fixed scope. I go through your funnel data, your instrumentation, and the feature itself as a user. You get a written report: where people drop off, why they drop off, and the fixes ranked by what they are worth.

2 Weeks Fixed Scope Written Report

The thinking behind this: Evals Are the New QA, The AI Trust Gap, and The Transparency Tax.

03

Fractional AI Growth Advisor

A growth operator in the room without a full-time hire. Metric definitions, experiment design, activation and monetization calls, and an outside read on what your data actually says.

2 to 4 Days / Month Quarterly Terms

The thinking behind this: AI-Led Growth and The Agentic Growth Team.

I hold no more than 3 advisory engagements at a time, because this runs alongside my own work.

Audits are fixed scope and priced per engagement. Retainers run quarterly. Everything is scoped in conversation, not from a rate card.

The first 2 companies get founding-client terms in exchange for a named case study I can publish. Once those are taken, they are taken.

For product people
04

1:1 Mentorship

A direct line to someone who has owned growth roadmaps and shipped AI products. We work on your actual situation: the roadmap fight, the metric nobody trusts, the AI feature you inherited, the promotion case.

$500 / Session 3-Month Program Async Access
05

Course: Growth for AI-Native Products

Activation, evaluation, monetization, and distribution for AI products, built from the playbooks behind the essays here. It gets made when the waitlist justifies it, and no payment is taken until it exists.

No payment and no course yet. You will get new essays, and one email when the course exists.

Where I am the wrong choice

  • Pre-product

    If nobody uses the product yet, growth advisory is premature, and I will tell you to spend the budget on customers instead.

  • A pair of hands

    I do not run your ads, write your tickets, or manage your team. I make the calls sharper for the people who do.

  • Consensus laundering

    If the decision is already made and you want a slide that blesses it, any consultant will do. It does not need to be me.

Saying this out loud costs me some inquiries. It saves us both a bad quarter.

The thinking behind it
All 21 essays

Let's talk.

Tell me what you are building and where it is stuck. The first conversation is 15 minutes, free, and I answer everything myself.

[email protected] LinkedIn