Ramp CTO Rahul Sengottuvelu on Inspect, a multi-model coding agent with AI spend controls (TBPN)
Key points
Key takeaways from Rahul Sengottuvelu's appearance on TBPN (October 2026), where Ramp's chief technology officer discussed the company's expansion into AI-powered financial and software automation:
- Enter Inspect: Sengottuvelu introduced Inspect, a secure, collaborative, multi-model coding agent built to handle complex codebases and integrate with a company's systems — positioning it as the next step in Ramp's automation stack rather than a standalone dev tool.
- AI spend visibility for finance teams: a core design goal of Inspect is giving finance teams visibility and control over AI spending, letting them track what agents and models actually cost as usage scales across the organisation.
- Automation beyond card and bill pay: the segment situates Inspect inside Ramp's broader push from corporate cards, bill pay and accounting — its founding products — toward AI-powered software automation of finance workflows.
- Why it matters: as enterprises deploy more AI agents, the ability to govern, observe and control that spend becomes a finance problem as much as an engineering one — exactly the gap Ramp's CTO is targeting.
