Built by one person.
Run against real systems.
I'm Sukir Kumaresan, founder of Tioga AI. I spent decades on the operating side of enterprise systems — Oracle EBS, SAP, finance, HR, procurement, and the governance and compliance work that keeps all of it audit-ready. Not consulting from the outside: running it.
That's the terrain I'm building AI agents on now. Most AI vendors can demo a chatbot; few have ever had to reconcile a general ledger, navigate an ERP's custom auth layer, or sit in a compliance review. Tioga AI exists because that gap — between AI that looks impressive and AI that survives contact with a real enterprise system — is exactly where I've spent my career.
Tioga AI is a solo practice by design, at least for now. Every live demo on this site is code I wrote and infrastructure I run — including the governance ledger, which isn't a mockup but a real excerpt from the routing gateway this business runs on internally. What you see here is what shipped, not what's planned.
Dual fluency, not one or the other
Most consultancies bring one of these three. Tioga AI is built on the premise that enterprise AI only works in production when all three are held by the same team.
Enterprise systems
Oracle EBS, SAP, finance, HR, procurement — the operational core most AI vendors have never had to touch, let alone integrate against.
Hands-on AI engineering
Every demo on this site — the migration assessment, the governance ledger, the MCP connectors — is built and run by the same person writing this page. Not a slide, not an outsourced dev shop.
AI governance
NIST AI RMF, ISO 42001, EU AI Act — treated as engineering requirements to design against, not paperwork to backfill after a pilot succeeds.
“Without ripping out what works.”
The systems your business runs on today — the ERP, the CRM, the HRIS — are not the problem. They're the asset. Tioga AI builds AI agents that connect to them as they are, with governance controls designed in from the start, instead of asking you to replace what already works.