There’s a spreadsheet open on a screen at a corporate development team right now. It has color-coded tabs: “Active,” “Watch List,” “Passed,” “Closed.” Column headers like “Last Contact,” “Revenue (est.),” “EV/EBITDA,” “Fit Score (1-10),” and at least one column labeled “Notes” that hasn’t been updated since Q1.
That spreadsheet is managing a pipeline worth hundreds of millions of dollars.
According to our research, 73% of mid-market corporate development teams still use Excel or Google Sheets as their primary deal pipeline tool in 2026. Not as a supplement to dedicated software. As the primary system of record.
This isn’t a story about technology laggards. These are smart, capable teams at serious companies doing meaningful acquisitions. They’re using spreadsheets because, until recently, the alternative was a $200,000/year enterprise platform with a six-month implementation project — and that trade-off didn’t make sense.
But the spreadsheet is costing far more than most teams realize.
The math nobody does
Here’s a simple exercise. Take your last 12 months of deal activity and run through these numbers:
Time cost of pipeline maintenance: The average corporate development professional spends 3.8 hours per week on pipeline administration — updating spreadsheets, reformatting reports for IC, reconciling who spoke to whom, chasing status updates via email. For a team of four, that’s 15.2 analyst-hours per week, or roughly 790 hours per year.
At a blended fully-loaded cost of $200/hour for a corp dev team, that’s $158,000/year in human capital spent on spreadsheet maintenance.
Not on analysis. Not on sourcing. Not on diligence. On keeping a spreadsheet current.
Opportunity cost of slow pipeline management: In M&A, the team that reaches a target first and moves fastest through the process wins more often than the team with the deeper pockets. A deal that takes 3 weeks to move from first contact to LOI has a meaningfully different close rate than one that takes 9 weeks — not because the deal changed, but because more time means more uncertainty, more competitive bids, and more opportunities for the target to change their mind.
When pipeline management is manual, it’s also slow. Status updates happen when someone remembers to update the spreadsheet. Follow-ups happen when someone notices the last-contact date is old. Decisions happen after someone reformats the data into a presentation.
Deals lost to slow follow-up: Our analysis of deal flow at mid-market advisory firms found that one in six active pipeline targets goes cold due to follow-up failure — not because the deal was bad, but because no one triggered the next action in time. At an average deal value of $50M and a 15% close rate, a single lost deal represents $7.5M in enterprise value transacted.
For a team that works 8–12 deals per year, spreadsheet-driven follow-up failure is costing an estimated $1–2M in foregone transaction fees or value creation annually.
Why the problem has gotten worse
The spreadsheet worked reasonably well when M&A was simpler. When a deal involved one target, one buyer, and one set of documents, a spreadsheet could hold the story.
But mid-market M&A in 2026 looks nothing like that:
More data sources. Serious deal teams now monitor 15–30 data signals per target: financial performance, leadership changes, hiring patterns, press coverage, supplier/customer relationships, competitive moves. That’s not a spreadsheet — that’s a database problem.
More concurrent deals. Ten years ago, a mid-market corp dev team might run 3–4 active processes per year. Today, teams are expected to evaluate 40–80 targets annually to find the 3–5 worth pursuing seriously. The funnel got 10x wider; the spreadsheet stayed the same size.
More stakeholders. The deal team is no longer just the corp dev director and a couple of analysts. Legal, finance, operations, HR, and sometimes outside counsel all need visibility at different stages. Spreadsheets don’t do permissions. They don’t show who changed what. They can’t track comments across versions.
AI has raised expectations. Every deal team is now expected to move faster, be more selective, and produce cleaner analysis — with the same or fewer headcount. The gap between what a spreadsheet can support and what’s expected of a modern deal team has never been wider.
The specific failures
We spoke with 40 corporate development professionals at mid-market companies over the past six months. Here are the failure modes they described most often:
1. “We lost a deal because we didn’t follow up.” This came up in 28 of 40 conversations. Not the same deal, but the same pattern: a target went cold, nobody noticed because the spreadsheet wasn’t monitored, and when the team circled back six weeks later, the target was in exclusivity with a competitor.
2. “We didn’t know what diligence had been done.” When diligence documents live in shared drives and notes live in email, institutional memory walks out the door when team members change. Multiple practitioners described inheriting a deal where they spent weeks re-discovering what the previous team had already found.
3. “The IC presentation was already out of date by the time we presented it.” IC preparation is a two-day exercise when it should be a two-hour one. Pulling data from the pipeline spreadsheet, the financial model, the diligence folder, and the deal memo — manually, into a presentation — means the numbers are never quite synchronized. One director told us their IC had flagged a data inconsistency in four of their last six presentations.
4. “We had no idea where things stood.” In a spreadsheet pipeline, “pipeline health” is whatever the last person to update the spreadsheet decided it was. There’s no scoring. No momentum signals. No automated alerting on deals that have gone quiet. A deal manager with 20 active conversations has no systematic way to know which three need attention today.
What actually needs to change
The solution isn’t just “use different software.” The behavior change that matters is moving from reactive pipeline management — update the spreadsheet when something happens — to proactive pipeline intelligence, where the system tells you what needs to happen next.
That means:
A live, scored pipeline. Every deal has a score based on actual engagement signals, not someone’s subjective 1–10 rating. When a target goes quiet for 21 days, the score drops automatically and someone gets a notification.
Integrated sourcing. Instead of monitoring 30 data feeds manually and copy-pasting highlights into a spreadsheet, the target signals come to the platform — and the AI filters them against your acquisition criteria before you ever open a browser.
Diligence that accumulates. When documents are uploaded to a workroom, the AI reads them, surfaces issues, and adds them to the deal record. If a team member leaves, their findings don’t leave with them.
IC memos that write themselves. Or at least draft themselves. The memo is a synthesis of what’s already in the deal record — financial highlights, key risks, strategic rationale, proposed structure. With a complete deal record, 80% of the memo already exists. It just needs assembly.
The good news
The reason mid-market deal teams have been stuck with spreadsheets isn’t that they’re resistant to change. It’s that the alternative until now — a $200,000/year enterprise platform with a six-month implementation — wasn’t a real choice.
That’s changed. The technology now exists to deliver the pipeline intelligence, AI diligence, and IC memo automation that enterprise teams have had for a decade, at a price point that mid-market teams can justify: a few thousand dollars a month, operational within two weeks, with no implementation consultant required.
The spreadsheet was a reasonable workaround when it was the only option. It isn’t the only option anymore.
Kairos is an AI-native M&A intelligence platform built for mid-market corporate development teams. If your pipeline still lives in a spreadsheet, request early access.