AI strategy consulting that ships
A clear roadmap and the evaluation framework to defend it, built by someone who has shipped the systems they're recommending.
Most AI strategy engagements end with a roadmap no one implements. The consultants who built it have never seen a model behave badly in production, so they can’t sequence for delivery. They sequence for appearances.
Seven years of strategy work at Kearney: restructurings and commercial diligence across Asia, Europe, and the Americas. Three companies since, each one requiring me to build the AI system, not outsource the thinking. That combination changes what a roadmap looks like.
What you get here is a clear answer to three questions: which AI bets will shift your numbers in the next 12 months, what to build versus buy, and in which order. Then we work through the evaluation frameworks so your team can own those decisions once the engagement ends.
What you get
A sequenced AI roadmap
The bets worth making and the order to make them in, calibrated to where AI actually shifts your numbers, not where the hype is loudest.
Build-vs-buy calls you can defend
A clear framework for where a vendor fits, where in-house build makes sense, and how to evaluate either without spending six months on it.
An evaluation framework your team owns
A repeatable process for assessing AI opportunities and vendors so your team can keep making good calls after the engagement ends.
How it works
Intake call
30 minutes to understand your current state, the decisions you're facing, and whether the engagement will move the needle.
Landscape and gap analysis
I map where AI creates real leverage for your business, where the market is ahead of where it looks, and where the noise is drowning out the signal.
Roadmap and framework delivery
A prioritized roadmap with evaluation criteria baked in, reviewed with your leadership team and structured so it survives the next vendor pitch.
Advisory support
Ongoing access during the engagement for vendor reviews, internal debates, or moments when a decision needs a second opinion.
Proof, not promises
All client stories →AI Employee Assistance Chatbot
Designed and built a chatbot for a 40,000-employee organization to address questions about policies, asset tracking, and other internal tasks. Integrated with an updated knowledge base with an admin panel and the ticketing interface to create and track support tickets.
Leading financial institution in India
AI Vision for Fraud Prevention
Built a semantic image search interface to detect and present potential fraudulent gold loan applications to auditors for real-time fraud prevention.
Leading gold loan provider
Auto-scaling ML Inference
Designed and deployed a dynamically auto-scaling application for low-cost inference of ML jobs on geospatial data using GCP Cloud Run.
Public markets investor in MENA
Questions
How is this different from a big consulting firm? +
Big firms send analysts who have never shipped an AI system. The strategy looks rigorous until someone has to implement it, then the gaps show up. I've done both sides: seven years at Kearney doing strategy and three companies where I built and deployed the product. That changes what the strategy actually looks like.
Do you help with execution or just strategy? +
Both, depending on what you need. Some engagements stay at the strategy layer: roadmap, framework, vendor evaluation. Others move into hands-on build. If you need the full stack, the AI agent development service covers that. Most clients start with strategy and bring me back for the build.
How long is an advisory engagement? +
Most strategy engagements run six to twelve weeks for the core work: intake, analysis, roadmap delivery, and a round of review. Some clients extend into ongoing advisory at a lighter cadence. I don't push open-ended retainers at the start.
What does an AI advisor actually do? +
In practice: helps you decide which AI investments are worth making and in what order, builds the evaluation framework for vendors and tools, sits in on key vendor calls to cut through the pitch, and gives your leadership team a clear position on where AI fits your strategy.
Let's talk
30 minutes, no slides. We'll work the specific decision you're facing.