Ann-Marie Berdar-Daley talks to founders, ops leaders, and reporters about what AI changes inside a business. The wins, the dead ends, and where AI actually moves the needle in a business setting. Below: a full press kit (headshot, logos, bios) and every place she's shown up so far.
Grab assets individually below, or download the complete kit as a single zip. Bios come in long, short, and one-liner cuts — copy directly to your draft. Logos come in two variants: yellow on cream, and cream on yellow.
Daley Growth Consulting builds Digital Employees and AI infrastructure for executives and operations teams. Architected by a founder who has built and scaled businesses.
Ann-Marie Berdar-Daley is the founder of Daley Growth Consulting, an AI consultancy that builds Digital Employees and AI infrastructure for executives and operations teams. She spent a decade in franchising scaling a brick-and-mortar business across multiple states: building every system it ran on, growing the teams that ran them, and overseeing multi-million-dollar P&Ls. She brings the same architect's brain to AI: agents, internal apps, and operational infrastructure for small to medium sized companies. Ruthless about ROI, allergic to hype, fluent in the trade-offs leaders actually make to help other businesses grow by unlocking what AI can actually do for a business.
Ann-Marie Berdar-Daley is the founder of Daley Growth Consulting, an AI consultancy that builds Digital Employees and AI infrastructure for executives and operations teams at founder-led businesses.
For a decade, she scaled and franchised a brick-and-mortar business across multiple states. Multi-unit, multi-state, multiple franchisees, brand integrity intact, unit economics that worked. She was the architect of the entire machine: development, lease negotiations, site selection, supply chain end to end, CPG production, marketing oversight, franchisee relations. She built every system the business ran on, hired and grew the teams that ran them, oversaw multi-million-dollar P&Ls, and made the capital allocation calls that decided where growth came from. She did not run a department. She built the company.
Her brain was trained for this. Undergrad in molecular biology. MS in nutrition science. CFE credits from the International Franchise Association. Building a franchise system from scratch is one of the hardest jobs in business: every department has to scale, every workflow has to translate to a stranger running it a thousand miles away, every dollar has to earn its place. She got fluent in systems because the work demanded it.
When AI started getting genuinely useful in 2023, she had the substrate to move fast. She deployed AI infrastructure inside her own business and watched the bandwidth equation change. Then she got obsessed with the tech itself, started building agents and internal apps for founder friends, and realized no one else was doing it the way she was: founder-grade business judgment plus hands-on AI building, in one person.
That became Daley Growth Consulting. She builds Digital Employees and operational AI infrastructure for founder-led companies, then stays in for the long haul as their tech stack evolves. Ruthless about ROI, allergic to hype, fluent in the trade-offs you make when you are running a company.
Not as an engineer. As a founder who built the machine the first time and is building the next version of it now.
Before founding Daley Growth Consulting, Ann-Marie Berdar-Daley (then Ann-Marie Berdar) spent a decade building and franchising BARE Blends, a brick-and-mortar healthy food brand she scaled across multiple states. The full press archive below: regional press, business journals, podcasts, and TV.
For podcast appearances, panels, keynotes, written features, or quote requests, reach out with a quick line about your show, publication, or event.
hello@daleygc.comPractical AI for founders and ops leaders · Building Digital Employees inside an existing team · Scaling a franchise system · The shift from running a business to architecting one · Choosing the right tools (and the ones to ignore) · AI literacy for non-technical leadership teams · The hybrid human-and-AI workforce.