01
Individual AI use is not team AI capability
A few power users do not make a capable team. Capability is a practice the team holds together. That is the gap most rollouts miss.
About
I help leaders and teams turn AI from a novelty into reliable work.
AdviceForge is the practice I run. It exists to help leaders and teams diagnose how AI is actually being used in their organizations, where the workflows break down, and what to do about it.
What I do.
Most companies have tried AI. Few are getting team-level leverage from it. The reason is rarely the model. It is almost always the workflow around the model.
The work I do is diagnostic. I run four-week AI Workflow Audits on individual teams to surface where AI is actually creating value, where it is breaking down, and what the team should do next. I also serve as fractional Chief AI Officer for a small number of mid-size companies that have AI initiatives running but no senior leader making sense of them.
Both engagements share a starting premise: better AI use is a discipline, not a purchase. The discipline is harder to design than a tool license but cheaper to ignore.
AI capability, not AI hype
How I think about AI capability
A few beliefs that shape how I diagnose teams.
02
Most AI adoption is motion, not change
Licenses bought and tools opened are not the same as work being done differently. Adoption metrics measure activity. Capability metrics measure outcomes.
03
Workflow redesign matters more than prompting tricks
Better prompts will not save a workflow that was never designed for AI involvement. The skill that produces real leverage is workflow redesign.
04
AI accelerates the direction a team is already going
If the direction is wrong, more speed makes things worse, not better. The most expensive AI rollout is the one that helps a team build the wrong thing faster.
05
Good AI use is a discipline, not a purchase
A tool license does not create a habit. A one-off training does not create a habit. Repetition and reinforcement create a habit.
06
Trust takes time
AI did not change that. It just made it cheaper to ignore. The teams that succeed treat verification and judgment as core engineering work, not as polish.
These beliefs come from specific kinds of work — hardware-software integration, high-consequence trading systems, and crypto infrastructure. The hard part of any consequential automated system is not the model. It is the verification, the override authority, and the discipline to clean up the world the system reads from. Those problems are decades old. AI just made them more visible and more urgent.
Mark Bennett
Background.
I am the founder of AdviceForge, an AI advisory practice, and serve as a Fractional Chief AI Officer for leaders and teams working to redesign their work around AI rather than just add tools on top of it.
Before AdviceForge, I co-founded Sentry Enterprises in 2018 and served as CEO through December 2025. Sentry works in biometric security, advanced card technology, Web3 payment solutions, and digital identity infrastructure.
Before Sentry, I spent 13 years at CME Group in progressive software engineering and operations leadership roles, including building CME's international technology captive center in Belfast and serving as Managing Director and General Manager for UK and Asia Technology Operations.
I started my career as a software and systems engineer in the United States Air Force, working on military intelligence and space-based satellite imagery platforms.
I host the Frontier Tech podcast and the AI in the Lab series on LinkedIn Live, both focused on what is actually working at the frontier of AI and what is quietly breaking down. I am based in Charlotte, North Carolina.
How to engage.
The fastest way to start is to email mark@adviceforge.com with a short note about your team and the workflow you are trying to make better. I will set up a 30-minute scoping call to see whether the AI Workflow Audit is the right next step for your situation.
If your situation is closer to "we need senior AI leadership but cannot fully fund a Chief AI Officer," ask about the fractional engagement instead. The shape is one to two days per week, six to twelve months, and the work is part diagnostic, part coaching, part strategy.
If you would rather start small, the free AI Skills Check is a seven-minute self-diagnostic across six capability dimensions. It is a useful pre-step before a scoping call, and it costs nothing.
Engagements run onsite or remote depending on what works for the client. Onsite time tends to make stakeholder interviews and leadership reviews sharper, and it is available for any engagement where it adds value. AdviceForge is a service of Science Brew LLC.
Start a conversation.
Email mark@adviceforge.com with a short note about your team and the workflow you want diagnosed.