The roadmap has too many AI ideas and no way to rank them
Everything sounds plausible, nothing has an owner, and the list keeps growing. You need someone who will say which one is worth building and which three are not.
I take on fractional CAIO and CTO mandates for scaling companies — owning the AI and technology decisions that are too consequential to guess at, and too infrequent to justify a full-time executive.
Everything sounds plausible, nothing has an owner, and the list keeps growing. You need someone who will say which one is worth building and which three are not.
The model is usually fine. What is missing is the evaluation, the exception handling, the escalation path, and a named person accountable when it is wrong.
A build-versus-buy decision, a platform commitment, a senior hire, or a vendor contract. These are the moments where a wrong answer costs a year.
Most fractional arrangements go wrong because nobody wrote down the shape of them. Here is mine, before you ask.
We find the decision or workflow in question, who owns it, and what changes if it goes well. If there is no real problem here, I will tell you.
A focused engagement that maps the real process, sets the baseline and business case, defines the evaluation plan, and produces a build-ready 90-day path.
Embedded CAIO or CTO at an agreed cadence. Architecture, evaluation, risk, vendor and executive decision reviews while your team executes.
If a build is the right answer, it runs as its own engagement with a dedicated project manager, engineering owner, and support terms.
“Within a couple of calls we got the concise roadmap we wanted. The whole deliverable was very smooth.”
“Brought world-class experience into our startup environment to give us a genuine edge against the competition.”
“Knowledgeable, versatile, and efficient — they know this space better than most companies we've worked with.”
From engagements I led through my consultancy.
Led and expanded the NLP Center of Excellence to 25 practitioners, and built a deployment accelerator that cut delivery timelines by 50%.
Architected the data and analytics platform during the company's expansion to $10M+ ARR, for a Forbes 30 Under 30 fintech team. The work was presented to and positively reviewed by Peter Norvig.
A financial analytics application reaching 92–97% accuracy on structured data, and LiDAR/GIS models that cut processing time by 40%.
If the roadmap has too many options, or a pilot cannot cross into production, start with a free call. We will work out whether there is a mandate worth having.