The big idea
The core insight of this ride: the expensive part of consulting was never the recommendations — it was the data collection. Armies of associates interviewing staff, shadowing workflows, and stitching together how an org actually functions. That's precisely the part an AI agent can do at full coverage instead of a sample, in parallel instead of sequentially.
Interviewing *every* employee changes the product category. A consultant samples twenty people and extrapolates; Ontora talks to everyone and aggregates. The deliverable stops being an opinion and starts being a measurement — an X-ray of the org chart as it really operates, not as it's drawn.
Why this matters now
Consulting is a trillion-dollar industry whose core deliverable — understanding how an organization actually works — just became automatable. Meanwhile every Fortune 500 is under pressure to restructure around AI, which means demand for org clarity is spiking at the exact moment the cost of producing it is collapsing.
Key takeaways
- Attack the labor, not the logo. Ontora doesn't out-brand McKinsey — it deletes the associate-hours that make consulting cost millions and take months.
- Full coverage beats sampling. AI interviews scale to the whole company, converting anecdote-driven org analysis into something closer to instrumentation.
- Speed changes what customers ask. A 24-hour turnaround means org mapping becomes a repeatable health check, not a once-a-decade crisis purchase.
- Employees tell an AI things they won't tell a consultant. The conversation touches on candor: a neutral interviewer at scale surfaces friction that never reaches a partner's slide deck.
- $1T markets hide in unglamorous workflows. The founders found their wedge not in strategy advice but in the grunt work everyone assumed had to be human.
Inside the conversation
The anatomy of a disruption wedge
The ride walks through why they started with organizational discovery rather than recommendations: it's the highest-cost, lowest-judgment slice of consulting — exactly where AI's parallelism is unbeatable and a brand name matters least.
Trust and candor at machine scale
What happens when the interviewer is an AI? The founders argue coverage plus consistency produces a more honest picture of a company than prestige interviews ever did — and that the map of "how work actually flows" is a product every executive quietly wants.
Three founders, one YC batch, no playbook
As a YC P26 company selling into Fortune 500s, Ontora is a live experiment in whether a tiny team with an agent can win deals against firms with fifty-year-old client relationships.
About Ontora
Ontora (YC P26) deploys AI agents that interview every employee in a company and deliver a map of how work actually gets done — in days, not months. Founded by David Korn, Leon Iwanowitsch, and Max.
Questions this episode answers
Can AI replace management consultants?
AI is replacing the data-collection layer of consulting first: interviewing employees, mapping workflows, and assembling the picture of how a company operates. Judgment and change management stay human for now — but the months of associate work behind a McKinsey deck are already automatable.
What is Ontora?
Ontora (YC P26) is an AI agent that interviews every employee in a company and delivers a map of how work actually gets done — in about 24 hours, versus the months a consulting engagement takes. It was founded by David Korn, Leon Iwanowitsch, and Max.
How does an AI map how a company works?
Instead of sampling twenty employees like a consultant, the AI interviews everyone in parallel, then aggregates the answers into a picture of real workflows, bottlenecks, and dependencies — a measurement of the org as it operates, not as the org chart draws it.
