Operating Executive · CIO · CDO · COO · CAIO
I’m Paul Ruddy. For twenty years I have led technology, digital, operations, and AI from the executive seat, in FDA‑regulated healthcare, B2B SaaS, and connectivity companies, and I founded four software and services firms along the way, owning the P&L at each. Every seat taught me the same thing: fix how the operation works, connect the systems and data underneath it, then let AI compound it. Today I’m Chief Digital & Information Officer and Chief AI Officer at Future Technologies Venture, and I lead Zyos Group, which brings that same senior bench to companies that cannot staff it.
The Thesis
The pattern repeats in every engagement. Leadership wants automation. The pilot ships. Six months later it’s sitting on processes nobody documented, data nobody trusts, and integrations that quietly broke after the last platform swap.
The fix isn’t a better model. It’s the unglamorous work of measuring how work actually flows, rebuilding the parts that are broken, and only then putting agents on top of something worth automating.
That’s the through‑line of every talk I give. It’s also a 20‑year reflex — learned in healthcare under FDA scrutiny, sharpened in BI startups, and stress‑tested running operations as a CIO/COO and then a VP/CDO.
Agentic AI didn’t arrive out of nowhere. For me it’s the next instrument in a discipline I’ve been practicing since the first data warehouse I built in 2008.
The Arc
The story I tell isn’t a résumé. It’s an argument — that the line from agentic AI today back to a managed IT closet in 2009 is a single coherent thread, and that the founders and operators who walked it have something the model builders don’t.
Agentic AI on top of operations that actually work.
Founded Zyos Group as the synthesis of everything that came before: assess first, prioritize with value‑stream and readiness scoring, rebuild the operating layer, then run it continuously with agents and senior staff in the loop. Today that means being the CIO, CDO, COO, and CAIO an owner cannot hire, and building AI operating models a company actually owns. The work runs across four niches where Zyos has real solutions: PE portfolios, high-growth SMBs, franchises, and associations. Same discipline I have run since 2009. New instruments.
What I argue nowReliable AI requires reliable inputs. The companies that win the next decade are the ones already doing the unglamorous work today.
The CIO, CDO, and CAIO seats inside a connectivity company.
Joined Future Technologies Venture, an end‑to‑end connectivity solutions provider in 5G, private LTE, Wi‑Fi, SCADA, and automation, as Chief Digital & Information Officer in 2022, and added the Chief AI Officer seat in 2026. I own the modernization of how the company runs: business operations, enterprise applications, CRM and ERP, data strategy, business intelligence, automation, and cybersecurity readiness. As CAIO I set the AI strategy, governance, and workforce enablement, then take each opportunity from build to deployment to measured results.
What it provesThe seats work best as one job. When the same leader owns the systems, the data, and the AI roadmap, transformation shows up in revenue and margin, where the business can measure it.
Running a bigger P&L — this time someone else’s.
Took the VP of Operations & Software Solutions role at Next Level Performance, running software development, IT, security, marketing operations, and pricing across an enterprise SaaS business in the sales‑incentives space. A different scale of P&L — bigger team, bigger numbers — but the same operating discipline I’d been running inside my own companies for nearly a decade.
What it taught meTechnical leadership stops being credible the moment it can’t read a P&L. Founders who’ve owned one make the best operating executives.
Two analytics startups built from the operator’s seat.
While serving as Director of IT and then CIO/COO at an FDA‑regulated blood center — building a data warehouse and bringing ITIL, agile, and a real PMO into a 510(k) environment — I founded two software companies. Blood‑Analytics: a BI SaaS for plasma and blood centers covering production planning, predictive analytics, and 510(k) compliance. BI Analytics: predictive and prescriptive analytics systems for M&A diligence, production planning, and executive decision support across regulated healthcare, manufacturing, distribution, wholesale, and retail. I owned product, customer, and P&L at both.
What it taught meThe best software companies are founded by operators who’ve felt the pain themselves. Dashboards don’t change a business — the decisions they make possible do.
Building — and owning the P&L — from day one.
Started in a global marketing operation forecasting inventory for pharma direct mail, then walked into Central Jersey Blood Center as a systems manager. In 2009 I founded my first company, Zyos Technology — an IT managed services firm I built, sold into, staffed, and ran as the P&L owner. It grew to support more than 100 enterprises across New Jersey and seeded the discipline that runs through everything I’ve done since.
Where it startedOwning the P&L from day one changes how you see every other decision. Reliability is a discipline before it’s a strategy — and the customer pays for both.
Engage
Some engagements run for years, some for a single morning. The throughline is the same discipline — measure how work flows, fix the operational layer, deploy AI on top of something that actually works.
Full Zyos Group engagements — assess, prioritize, execute, operate. Fixed‑price implementations, retainer‑based transformation, or as‑a‑service for teams who want continuous optimization with agentic AI baked in.
The seats you need to run the business and run AI through it, without four executive hires. Zyos Group is that senior bench for small and mid-sized companies: we hold the information, data, operating, and AI leadership, run it with agents and a senior human in the loop, and stay accountable for the outcome.
Talks built from real Zyos engagements — on operational transformation, process intelligence, the discipline behind reliable agentic AI, and the 20‑year arc from managed IT to where we are now.
Private sessions with leadership ahead of a strategic decision, AI rollout, diligence, or board readout. Ninety minutes to a half‑day, structured to the question on the table.
The firm
Zyos Group is the firm I founded — a management consulting and digital transformation practice that works with associations, PE‑backed and growth‑stage SMBs, and operations‑heavy organizations to fix the operational layer before agentic AI gets bolted on. We are platform‑neutral, evidence‑driven, and direct. We measure every engagement against a Process Intelligence model and report what we actually find.
Whether you engage me through advisory, a transformation engagement, an executive briefing, or a keynote — the patterns I share come from this book of work. Not abstractions, not vendor decks. Real engagements, real readiness scores, real outcomes — including the ones that didn’t land.
Visit zyos.ioBio & Press
Paul Ruddy is an operating executive who has held the CIO, CDO, COO, and CAIO seats. He is Chief Digital & Information Officer and Chief AI Officer at Future Technologies Venture and the founder of Zyos Group. Over more than fifteen years he has founded four software and services companies — an IT managed services firm and two analytics software startups before Zyos Group — and owned the P&L at each. He has also served in dual‑hat C‑level operating roles at Central Jersey Blood Center and Next Level Performance. He advises, consults, and speaks with leaders on operational transformation and reliable agentic AI.
Paul Ruddy is the founder of Zyos Group, where he and his team work with associations, PE‑backed SMBs, and operations‑heavy organizations to diagnose operational maturity, prioritize with value‑stream and readiness scoring, and deploy agentic AI only after the underlying operations are ready for it.
Over the prior fifteen years he founded three software and services companies and owned the P&L at each: Zyos Technology, an IT managed services firm serving more than 100 enterprises; BI Analytics, a predictive and prescriptive analytics company building M&A diligence, production planning, and executive decision‑support systems for healthcare, manufacturing, distribution, and retail; and Blood‑Analytics, a BI SaaS for FDA‑regulated plasma and blood centers.
He has also held dual‑hat C‑level operating roles inside operations‑heavy companies — Director of IT then CIO/COO at Central Jersey Blood Center, and VP of Operations & Software Solutions at Next Level Performance. Since 2022 he has served as Chief Digital & Information Officer at Future Technologies Venture, adding the Chief AI Officer role in 2026. Paul holds an MBA (MIS concentration) from Montclair State University and a B.S. in Management Information Systems from West Virginia University.
Paul Ruddy has spent the last fifteen‑plus years founding software and services companies and operating inside operations‑heavy businesses at the C level. He started in a global marketing services firm, building forecasting and inventory models for direct‑mail pharmaceutical fulfillment, then joined Central Jersey Blood Center — an FDA‑regulated blood center — where he climbed from systems manager to Chief Information Officer and Chief Operating Officer. There he built a data warehouse, introduced ITIL and a Project Management Office, brought agile and bimodal IT into a regulated environment, and led the FDA‑regulated donor management system conversion in six months — against a typical 13‑month timeline.
In 2009 he founded Zyos Technology, an IT managed services firm he built, sold into, staffed, and ran as the P&L owner through 2016; it grew to support more than 100 enterprises across New Jersey. In parallel he founded two analytics software startups: Blood‑Analytics, a BI SaaS for plasma and blood centers covering production planning, predictive analytics, and 510(k) compliance; and BI Analytics, a company shipping predictive and prescriptive analytics systems for M&A diligence, production planning, and executive decision support across healthcare, manufacturing, distribution, wholesale, and retail. He owned product, customer, and P&L at both.
From 2018 to 2021 Paul served as VP of Operations & Software Solutions at Next Level Performance, running software development, IT, security, marketing operations, and pricing across an enterprise SaaS business in the sales‑incentives space. In 2019 he founded Zyos Group — the synthesis of everything that came before — with a thesis that operational transformation must precede agentic AI. Zyos Group engagements have spanned associations, PE‑backed SMBs, and healthcare. In 2022 he joined Future Technologies Venture as Chief Digital & Information Officer, and in 2026 he added the Chief AI Officer seat.
Paul advises, consults, and speaks with executives, boards, and operating partners on operational transformation, process intelligence, and the discipline behind reliable agentic AI. He holds an MBA (MIS concentration) from Montclair State University and a B.S. in Management Information Systems from West Virginia University. He lives in the Greater New York area.
Latest on LinkedIn
Short, opinionated notes on operations and AI, the same thesis I run inside every engagement. The full feed lives on LinkedIn.
Most companies I meet want to buy AI before they can tell me how their business actually runs. I understand why. The demos are good. But AI does not run on enthusiasm. It runs on t
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Whether it’s a transformation engagement, a board or advisory role, a keynote, or a single executive briefing — the fastest path is a short note. Tell me the situation, what outcome you’re after, the timeline, and any constraints. I respond personally, usually within a day or two.
For confidential conversations — diligence support, pre‑deal technical reviews, board readouts — flag that in the subject line and we’ll move to a private channel.