The fractional advantage: scaling smarter in the age of AI
Almost every business today is technology-enabled. Very few are AI businesses.
Unless you’re building core AI or generative models, you’re in the vast majority of companies that need to use AI rather than build it. The same is true for experienced professionals - most advisors and fractional leaders aren’t AI specialists, yet AI is rapidly becoming one of the most powerful tools available to amplify their expertise.
Join Connectd at Embarc Collective for an evening of candid conversation exploring how founders and senior operators are navigating this shift.
What we’ll explore:
How to scale in an AI-driven world without getting lost in hype
Where real productivity and efficiency gains are happening today
Why being “tech-enabled” doesn’t automatically mean being AI-capable
Why AI increases - not reduces - the value of senior judgment
What strong fractional leadership looks like, and how it differs from traditional consulting
What “good enough” AI adoption really looks like for early-stage startups
As AI increasingly takes on execution and operational work, human expertise decides direction. Fractional talent is where that expertise is being deployed most effectively.
Whether you're a founder looking to scale smarter or an advisor exploring the evolving demand for senior expertise, this session will leave you with practical insight, clarity, and tangible next steps.
Speakers
Tony Giroti – Connectd Advisor
Senior executive at Salesforce and TD Bank, 3x founder, VC-backed CEO, and board leader across enterprise tech, energy, and venture capital.
Fatin Kwasny – Founder & CEO, Fractio
Tech marketer and Lean Six Sigma–certified operator with 15+ years of experience driving growth across startups and enterprise, and founder of infrastructure that equips operators to move beyond time‑based billing and deliver measurable, AI‑amplified outcomes.
Expect a relaxed, high-calibre discussion followed by networking with founders and fractional leaders across the Tampa ecosystem.