AI Native Journey
Finance is becoming an AI-native function.
From chat user to AI-native, see where your team sits on the curve today. The endpoint isn't a better chatbot — it's evolving beyond chat to agents doing work for you in your systems, under your governance.
[01]
AI Chat User
[02]
Ramping AI User
[03]
Agent Builder
[04]
AI Native
How you work
Chat or Cowork
Claude Code / Codex apps
Claude Code / Codex CLI
CLI + hosted agents
What you produce
One-off answers & drafts
Repeatable workflows
Workflows + CSV exports to manually load into systems
Agents write directly to your systems, you audit
How you manage context
Copy / paste & manual uploads
Built-in MCP connectors
Manually point agents at sources & APIs
Integrated data layer, automatic
How you manage risk
Let it run, check the output
In-session or intermediate output approvals
API keys on laptops; Slack/email approvals
Hosted API keys, governed approvals
How you build "agents"
Reuse saved prompts
MD-file-only skills
Best-practice skills & scripts
Shareable, multi-skill agents
Fig. — The path to AI-native finance
The process
From system sprawl to live agents, Dough can help at every stage.
01 Architect
→
02 Build
→
03 Deploy & Govern
01
Architect
Get the architecture right before a single agent runs — stand up the data foundation and map every core system.
→Normalized data warehouse & data lake
→ERP, AR/AP, billing & FP&A mapped
→Context layer & access scopes defined
→Direct integrations, not inefficient MCPs
→
02
Build
Use Dough to build agents (or have our FDEs build them for you). Dough's primitives and development framework turn workflows into agents in days.
→Primitives — data tables, files, pages
→Dough development framework & patterns
→Shared skill & agent repository prevents redundant work
→Evals to harden before you deploy, ensuring your agents work in production
→
03
Deploy & Govern
Ship to production with governance built in.
→Agents work off the most up-to-date context
→Hosted agents write back to core systems
→Full audit log + token-spend ROI
→RBAC, SSO & SOX controls
→Governed approval workflows
Fig. — Architect → build → deploy & govern
Team
We've lived the problem from both sides.
Shriram Apte
Co-founder / CEO
—VP Finance at Atticus ($3M → $50M, Series A–C) and Triplebyte (acquired).
—Closed $250M+ in capital; led ops, recruiting and GTM.
—Delivered an unqualified audit opinion on a 5-entity de-novo structure.
Uday Mantripragada
Co-founder / CTO
—Ex-Uber / Apple technical leader.
—Built Uber's Marketplace incentive platform — $1.2B+ annually.
—Owned Uber's core spend datasets, scenario planning and reconciliation.
—Ran org-wide AI-native initiatives; core AI infra & hosted-agent tooling.
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