Insights
The market for the last mile
Mid-market and enterprise companies moving onto AI-native platforms (ERP, CRM, procurement, etc.), where the last mile is new, unowned and budgeted.
The bigger prize
Services are the bigger prize
4–6×
more is spent on services than on software
Sources: Nick Kopp, CEO, Rillet (Nasdaq, Oct 2026); Sequoia, via Matt Baskovc (Oct 2026)
The last mile is the bigger prize.
| Software | $0.5T |
|---|---|
| Services | $2T |
Market for DaVero AI
Finance is one of the largest markets for DaVero AI
$80–115B
US accounting, audit and tax advisory work already bought from outside providers
Source: Sequoia Capital, “Services: The New Software,” Mar 2026 (labour TAM ranges)
| Management consulting | $350B (range $300–400B) |
|---|---|
| Supply chain & procurement | $200B (range $200B+) |
| Recruitment & staffing | $200B (range $200B+) |
| Insurance brokerage | $170B (range $140–200B) |
| IT managed services | $100B (range $100B+) |
| Accounting & audit | $65B (range $50–80B) |
| Healthcare revenue cycle | $65B (range $50–80B) |
| Claims adjusting | $65B (range $50–80B) |
| Tax advisory | $33B (range $30–35B) |
| Legal, transactional | $23B (range $20–25B) |
Why now
Delivery, not models, is the bottleneck. We sell delivery.
340 thousand
US accountants lost over five years
Source: Sequoia Capital, Mar 2026
about 75%
of CPAs nearing retirement
Source: Sequoia Capital, Mar 2026
61%
of finance leaders report accounting talent shortages
Source: Controllers Council, 2026
12%
of finance teams run AI in core processes
Source: insightsoftware, 2026 (311 leaders)
14%
of mid-market CFOs fully trust AI with accounting data
Source: Wakefield Research, Feb 2026 (100 CFOs)
more than 40%
of agentic AI projects will be scrapped by end-2027
Source: Gartner via Reuters, 29 Jun 2025
Landscape
Where we sit in the landscape
- Top left (Sells the tool, deep platform context): AI-native platforms, own the ledger, sell the tool.
- Top right (Sells the work, deep platform context): Own the Last Mile (DaVero AI), Platform-native agents, sold as outcomes.
- Bottom left (Sells the tool, shallow platform context): Platforms & legacy firms, tools for firms, firms selling hours.
- Bottom right (Sells the work, shallow platform context): AI roll-ups & labs, generic or enterprise-first.
Our edge
- Platforms sell to the firms we replace; selling the work would cut out their own customers (Sequoia’s innovator’s dilemma).
- Roll-ups buy hours and retrofit AI; we start agent-native.
- Labs target the Fortune 500; we go deep on one platform layer and the mid-market.
Articles
Articles
First articles coming soon.