Why agentic AI
AI enablement is the bottleneck.
We enable and deliver finished outcomes.
The last mile
What we mean by “The Last Mile”
Everything between “the software is live” and “the final outcome is delivered.”
The last mile is the set of domain-specific workflows in and around a core business platform, where business-domain expertise, applied on the platform, decides the outcome. Today it runs on disparate tools and manual effort. We run it with purpose-built agents tightly coupled to the business platform.
How every client workflow meets the platform
Platform covers it
Covered
Matches a native feature
Client adopts the platform's way
Covered
Covered once the client changes its process
The last mile
Not covered
Outside scope or roadmap: disparate tools, repetitive manual work
The test: a workflow is last mile if it is…
- 1Needed for the outcomeclose, cash, claims, orders
- 2Not covered nativelyor only after a process change
- 3Client- or industry-specificown rules or vertical
- 4Done by hand todaydisparate tools, manual effort
The last mile, by domain
Finance
- Intercompany eliminations
- Revenue-recognition edge cases
- Entity reconciliations
Procurement & Supply Chain
- PO-receipt-invoice exceptions
- Supplier onboarding
- Landed-cost accruals
IT Services
- Access reviews
- License true-ups
- System-to-ledger data feeds
Insurance
- Claims exceptions
- Bordereaux reconciliation
- Premium and commission accruals
Platform vs. DaVero AI
Platforms deliver the capability. DaVero AI delivers the finished outcome
| PlatformTraditional tools | DaVero AIAgentic outcomes |
|---|---|
| PlatformSells a tool to a professional | DaVero AISells the finished outcome to the buyer |
| PlatformProfessional stays responsible for the output | DaVero AIProvider owns delivery, exceptions and quality |
| PlatformEach model release risks making it a feature | DaVero AIEach model release makes delivery faster and cheaper |
Where DaVero AI wins first
Close, reconciliations, billing and collections are rules-heavy, outsourced and already budgeted. That is the wedge Sequoia describes, and it is where we start.
The higher the intelligence ratio in any field, the sooner outcome sellers like DaVero AI win.
Source: Julien Bek, “Services: The New Software,” Sequoia Capital, Mar 2026 (paraphrased)
The shift
From labor arbitrage to agent arbitrage
| YesterdayLabor arbitrage | TomorrowAgent arbitrage |
|---|---|
| Move finance work to lower-cost people | Agents tuned to each business do the work |
| Stickiness comes from people and process know-how | Stickiness comes from agents fitted to the client's own workflows |
| Value goes to outsourcers and consultants | Value goes to whoever owns agent quality |
Whoever controls the quality of the agents controls client stickiness.
“Half a trillion dollars in software spend, another $2T in services wrapped around it.”
Nick Kopp, CEO, Rillet · Nasdaq, Oct 2026 The last mile lives in the eco-system layer.
“For every $1 companies spend on software, they spend about $6 on services.”
Matt Baskovc on Sequoia’s thesis · Oct 2026 Services will be the new software.
Strategy
Our core strategy
A platform's biggest opportunity to widen its moat and stickiness with enterprise clients lies in the complex workflows in and around the partner platform, where business-domain expertise is the key ingredient.
Where
Complex enterprise workflows in and around the platform
Business-domain expertise is the key ingredient, and no one owns it today.
What
Purpose-built agents, tightly coupled to the platform
Agents built on the platform's own data and APIs close or narrow the existing gaps.
How
A partner firm dedicated to each platform ecosystem
Focused on one platform, aligned with its roadmap, not competing with it.
Who it is for
Our wedge
Mid-market and enterprise companies moving onto AI-native platforms (ERP, CRM, procurement, etc.), where the last mile is new, unowned and budgeted.
- Who
- Mid-market and enterprise companies
- Moving onto
- AI-native platforms (ERP, CRM, procurement, etc.)
- Where the last mile is
- New, unowned and budgeted

