At a glance
WHAT IT’S REALLY ABOUT
Confido sells AI agents to automate the operations of CPG giants
- Confido builds an AI agent “workforce” for consumer brands, automating workflows spanning accounting, sales planning, and operational planning using the brands’ retail data.
- The company pivoted from a COVID-era fitness space concept to CPG automation after a prolonged “pivot hell,” prompted by strong validation from large brands responding rapidly to cold outreach.
- Early traction came from closing a first customer with a Figma prototype and expanding the product roadmap based on customer requests starting with data pulling and cash application automation.
- Confido wins deals by framing its product as replacing or augmenting labor—aligned with how CPGs already buy services—while delivering ROI across many P&L line items and improved reconciliation/forecasting outcomes.
- The team operates without product managers, emphasizing engineers who own customer-facing discovery through delivery, including onboarding and sales support.
IDEAS WORTH REMEMBERING
5 ideasSell AI as work replacement, not as software, to unlock CPG budgets.
Confido positioned itself not as “new software,” but as an AI labor substitute/augmentation—matching how CPGs already buy help via BPOs, consultants, and brokers. That framing lowered adoption friction in a category perceived as “not tech-forward.”
A “plain sight” problem plus intense customer discovery can beat a flashier idea.
After abandoning “Outfit” (WeWork for fitness instructors), the founders spent roughly a year searching for direction until they recognized a problem they’d personally observed in consumer companies. The breakthrough came from validating quickly with large CPGs who were unusually eager to discuss their pain points.
Fast, high-engagement responses to cold outreach can be a strong market signal.
They cold-emailed major brands (e.g., Coca-Cola, Dr Pepper) and got rapid, long-form conversations, signaling severe operational pain and an underserved market. This de-risked the pivot before heavy building.
Prototype-to-contract is possible in enterprise if the pain is visceral.
Confido closed its first customer using a Figma prototype before writing code, proving willingness to pay and clarifying which workflows mattered first. Early scope started with portal-hopping data pulls and cash application/accounting automation, then expanded based on customer pull.
The moat is cross-workflow automation powered by unique retail data, not a better database.
They argue classic ERPs (and Excel/point tools) don’t create a cohesive, automated, agent-driven data flow across functions. Confido’s differentiation is using retail data to automate and drive decisions across accounting, sales planning, and operations in one platform.
WORDS WORTH SAVING
5 quotesSo we went through a long, long pivot hell.
— Kara Holinski
It was an idea that was hiding in plain sight.
— Justin Hunter
We sent them cold emails, and they responded within a couple of days.
— Justin Hunter
We actually closed our first customer with a Figma, so prior to writing a single line of code.
— Kara Holinski
So we can touch almost every line item on the P&L.
— Justin Hunter
High quality AI-generated summary created from speaker-labeled transcript.
