Sellers · AI displacement risk
Will AI strengthen it,or replace it?
Buyers now ask this before they price a software company. Capital Row answers it on your product, your customers and your records, and shows you what to change while there is time.
Six desks open, all in healthcare software
How it works
- 01
Map the workflows.
Every workflow your product supports, who does it today, and what your customers pay for.
- 02
Read the exposure.
Where AI makes the product more valuable, where it does the work instead, and where it could replace the product.
- 03
Build the proof.
The metrics and records that show a buyer which side of the line you are on.
Why buyers ask
AI is now a pricing question, not a product question.
Diligence has to start with how much AI can change the workflows a product supports, and whether AI could displace the product within them.
Bain & Company, The New Era in Tech Investing Starts Now, April 30, 2026. Read the report
Software valuation multiples have become more sensitive to perceived AI exposure, and deal processes now look harder at technology risk.
Oliver Wyman, Surviving and thriving in the AI-driven SaaS landscape, April 2026. Read the report
The most embedded vertical software, healthcare IT included, keeps its defensibility through regulatory moats and proprietary data.
Withum, How AI Is Resetting the SaaS Valuation Multiples in Private Equity and Private Credit, 2026. Read the article
In a study of larger European software companies, about 18% scored at high risk of AI disruption, mainly because of weak vertical and data moats.
AlixPartners, AI Disruption in European SaaS, June 2026. Read the article
What we read
Six things a buyer will ask about AI, read on your own product.
Workflow exposure
Which tasks inside your product AI can now do end to end, and which still need your software to run.
Seat and pricing model
Revenue that grows with your customers' headcount is the most exposed. We show how your pricing holds if your customers need fewer people.
Data and system of record
Whether you hold proprietary, continuously refreshed data and own the record: the two defenses buyers weigh most.
Regulatory moat
Payor rules, credentialing, compliance and audit trails that a general AI tool cannot carry for your customers.
AI cost to serve
Every AI feature costs money each time it runs. Priced like a seat, it lowers gross margin, and buyers price on gross margin.
Your own AI revenue
Paid adoption, retention and the cost to deliver, traced in the records.
The difference
What a buyer sees, before and after.
| Without the assessment | With it |
|---|---|
| An AI story in the deck. | Proof points in the records. |
| Seat growth as the growth story. | Pricing tied to outcomes your customers keep paying for. |
| AI costs buried in hosting. | AI cost to serve, measured and priced. |
| Exposure found in a buyer's diligence. | Exposure found first, with a plan. |
What you receive
A read you can act on, and show a buyer.
- A workflow-by-workflow exposure map
- A written read of where AI strengthens the product and where it substitutes
- AI cost to serve, measured against what each feature earns
- The proof points a buyer will ask for, and where each one sits in your records
- A plan in order: product, pricing and data moves
- A one-page summary for your board or a buyer
Questions
What owners ask first.
Is healthcare software safer than other software?
Often, because of regulation and proprietary data. It is not automatic. Buyers want proof on your product, not on the category.
Do you need our code?
No. We work from the product, your customer and pricing records, and conversations with your team.
Can a buyer use this read too?
Yes. On the buy side, the same read is part of buy-side diligence on a target.
Will the findings be shared?
No. Your findings stay yours, and so does the decision to share them.