Mid-size businesses have the most to gain from adopting AI, but the least support to get there. We focus on the people who move AI from theory to reality inside these firms. We've done the hard work of AI adoption before, and we're here to make it a reality for them.
Led by operators who've done it before
Most AI adoption doesn't fail because of technology. It fails because it wasn't attempted with a human-first approach. We focus on the people who will make AI a success in your organization. And we maintain a constant feedback loop, to ensure you stay on track.
Every engagement begins with structured workforce discovery, and all technology recommendations are based on this analysis.
We didn't learn about AI on YouTube. Our co-founders have spent over a decade building applied AI solutions for middle-market companies. We've felt every failure mode firsthand. We've also delivered the concrete results of success. And we have a path to get you there.
Our co-founders have built and deployed Analytics, Automation, Decision Support, and Agentic Infrastructure across more than 50 mid-market operators.
Our mission is to give you the best advice. We don't earn commissions or referral fees. We work with the tools and providers that make the most sense for you. Adopting AI requires buying services and technology, and we are here to ensure you have a plan to win with it.
We respect the technology investments you've already made, and we are constantly evaluating the landscape of emerging offerings.
AI initiatives fail for reasons that are predictable and preventable. The technology is rarely the issue. The organization is.
of AI projects launch without measurable success criteria
Teams build solutions before defining what success looks like. Without measurable outcomes and clear acceptance criteria, every result is debatable and initiatives stall in perpetual pilot mode.
of AI initiatives lose executive sponsorship within the first year
Sponsors want ROI. Teams fear displacement. Middle management questions relevance. Without alignment, initiatives fracture under political pressure before the technology even gets a chance.
of organizations gather structured stakeholder input before AI adoption
Leadership thinks the initiative is on track. The people closest to the work see problems no one is surfacing. The people who understand the real barriers are never asked.
of organizations have had a failed analytics initiative they never analyzed
Previous projects failed for reasons no one documented. The same dynamics that killed past initiatives are still there. They will surface again.
of AI deployments achieve full workforce adoption
The implementation is technically sound but nobody uses it. Users find workarounds, teams revert to old processes. The problem isn't the tool. It's the change management that never happened.
of enterprises say their data is completely ready for AI
Multiple systems claim to be the source of truth. Teams disagree on which numbers are real. AI inherits and amplifies the confusion.
At Agentsy, we see two major needs for our clients with emerging AI.
One is an independent strategic advisor, who isn’t selling technology or implementation services.
Second is a partner that understands how to bring people and teams along the adoption journey.
We work upstream of implementation, where the success of AI adoption is actually decided. We keep you up-to-date on emerging technology and disciplined about execution. Every engagement begins with a 30-day sprint to produce outcomes you will measure.
We start by mapping the people who will shape your outcome across the organization, and then surface what each needs to support the change. Structured data collection and analysis surfaces what your organization requires to be successful.
We then proceed to validate prior initiatives, ongoing pilots, and data silos that lead to failure. We pressure-test your organization against what we've seen work and fail in middle-market AI adoption. The output is a clear-eyed view of your current state.
Based on this diagnosis, we generate a specific plan with measurable outcomes, owners, and progression, in order to move your organization towards success. We leave the initial sprint with an immediate action plan that you can pursue on your own or with our continued support.
We don't approach AI adoption as a one-time project, and you shouldn't either. Most clients progress with us on a quarterly advisory basis, to accelerate progress as the organization and the technology evolve. We are partners in your long-term AI success.
Now let's talk about your situation. No pitch deck, just a conversation about what you're working on and where the real work is.
Speak with a humanFractional OPs focused on AI success
AI is the most important value creation lever today, but middle-market portcos have the fewest resources to achieve success with it. The result is stalled pilots and AI narratives that don’t escape the board deck. Agentsy is a fractional VCT built for AI adoption in the middle market.
We work upstream of implementation, where the success of AI adoption is actually decided. We sit between the AI firms still figuring out adoption and the integrators retrofitting AI into legacy playbooks. We’re current on the technology, disciplined about adoption.
AI adoption failure is rooted in human capital mistakes. The companies that get value from AI are the ones whose people understand the change, shape it, and run it. Every engagement begins with the workforce and drives foundational change through them.
Every engagement begins with structured workforce discovery, and all technology recommendations are based on this analysis.
Our co-founders have spent over a decade building applied AI solutions for middle-market and PE-backed firms. We've felt every failure mode firsthand. We've also delivered the concrete results of success. And we have a path to get you there.
Our co-founders have built and deployed Analytics, Automation, Decision Support, and Agentic Infrastructure across more than 50 mid-market operators and PE-backed firms.
Our mission is to give you the best advice. We don't earn commissions or referral fees. We work with the tools and providers that make the most sense for each firm. Adopting AI requires buying services and technology, and we are here to ensure you have a plan to win with it.
We respect the technology investments you've already made, and we are constantly evaluating the landscape of emerging offerings.
Most of our engagements ultimately run at the portfolio company level, where AI adoption either succeeds or fails and it requires a tailored approach. Funds engage with us in one of two ways.
Initial 30-day engagement that prioritizes a heat map of AI Value Creation opportunities across your portfolio. We conduct our analysis based on your team's insight, publicly available data on each portco, and our pattern recognition from mid-market AI adoption. Designed to give you strategic clarity on where to invest further in AI.
Begins with a 30-day sprint at each portfolio company, structured to produce a plan the company can act on to accelerate AI adoption. After the comprehensive assessment, each company has a tailored Success Plan to run with. And we commit to staying engaged to ensure on-going progress.
After the initial engagement, most of our work continues on a quarterly advisory basis, at the portfolio company level and the fund level. AI Value Creation requires constant rigor and adaptation, and we intended to be your fractional VCT for AI long-term.
Led by Operators with more than a decade of applied AI work for middle-market and PE-backed companies.
About the team →Now let’s talk about your portfolio. No pitch deck. Just a conversation about where you see AI mattering most and what’s gotten in the way.
Speak with a humanAI vendors focus on technology. Implementation partners focus on building. Agentsy focuses on getting your people ready for it.
25+ years across Chief Architect, Principal Engineer, Director, and CTO roles. Deep hands-on expertise in agentic AI, frontier models, multi-model workflows, and production-grade systems. Brings the technical fluency to understand how modern AI actually works in production.
15+ years at the intersection of AI development and organizational adoption. Brings transformation leadership grounded in how teams handle change, how leaders frame adoption, and how organizations realize commercial value from emerging technology.
You need a team that understands the latest Agentic AI technology and what it actually takes to adopt it. There are too many failure modes to go in blind.
The blame usually falls on the technology: the model was unreliable, the pilot didn't scale, the vendor underdelivered. But the real causes are almost always organizational. Unclear ownership, weak alignment, no agreed source of truth, poor communication, hidden resistance, vague success criteria.
Stakeholders had conflicting expectations. Data governance was aspirational, not operational. Past failures went unexamined. Communication was top-down instead of evidence-based.
Getting this right requires dedicated expertise. Implementation partners build solutions. The question is whether anyone prepared the people who'll be using them.
"Good ideas shouldn't fail because the groundwork wasn't in place."
Every insight, recommendation, and assessment comes from experienced advisors. Real expertise at every touchpoint, not frameworks handed off to junior staff.
Facts, inferences, assumptions, and recommendations are kept distinct. Findings are grounded in structured evidence from your stakeholders, not guesswork dressed up as analysis.
Questionnaires, interviews, and structured touchpoints aren't overhead. They're the primary way organizational understanding gets built. Communication is the work, not a side effect of it.
If your organization isn't ready for AI adoption, you'll hear it directly. No enabling an initiative destined to fail because the truth was uncomfortable.
Deep experience across CTO, Director, Chief Architect, and Principal Engineer roles. Hands-on expertise in agentic AI, frontier models, multi-model workflows, and production-grade systems.
ERP rollouts, digital transformations, analytics programs, AI pilots. Across industries, the patterns of what works and what fails are remarkably consistent.
Dedicated entirely to the problem everyone else skips: the human, political, and communication dynamics that quietly determine whether initiatives succeed or fail.
The first step is a conversation about your initiative and the challenges you see coming.
Start a ConversationTell us about your organization and what you're considering. Every message gets a response within two business days.
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Effective Date: April 19, 2026
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