Oregula builds internal AI governance frameworks for Indian SaaS and BFSI companies, so AI adoption happens on clear rules instead of ad hoc calls.
No employee may connect company data to an external AI tool that has not completed the approval checklist in Appendix C.
Approved tools are reviewed quarterly against data classification, vendor terms, and applicable regulatory obligations.
Requests for new tools are routed through the AI Governance Owner, with a decision within five working days.
Most Indian companies have engineering, sales, and support teams running AI tools daily, with no internal document defining what's allowed, what's reviewed, and who owns the decision.
The DPDP Act 2023 sets obligations around how personal data is processed, and AI tools are one of the least controlled paths for data to leave a company. RBI has also flagged responsible AI use as a supervisory priority for regulated entities.
Security and vendor questionnaires from enterprise clients increasingly include questions on AI usage and data handling. A SaaS company without a governance document has no good answer.
ChatGPT, Copilot, and a dozen embedded AI features are already inside most workflows, usually adopted by individual teams without any central review.
Writing a governance framework from scratch takes weeks a founder or compliance lead doesn't have, and getting it wrong is worse than not having one at all.
Every engagement starts from the same operational foundation: a governance document built around how your company actually uses AI, not a generic template.
Oregula currently works with two types of Indian companies, both under real pressure to show a governance answer, not just good intentions.
The process is built to move fast without cutting corners. Most engagements go from first call to a delivered framework within two to three weeks.
A structured conversation covering your AI stack, data flows, team structure, and existing compliance obligations.
A first version of your governance document, built from a proven structure and written in language your team will actually read.
A working session to walk through gaps, edge cases, and edits, with changes reflected directly into the document.
Final framework delivered, team workshop scheduled if included, and an optional retainer set up for ongoing updates.
Three ways to start, depending on how much of the framework you need built and how involved you want the process to be.
Final pricing depends on company size, number of tools in use, and depth of customisation. This is discussed and confirmed before any engagement starts.
Oregula is built and run as a solo practice, working directly with founders and compliance leads rather than through a large team. Every framework is researched, drafted, and reviewed personally, using AI tools heavily for research and drafting, and human judgement for everything that matters.
Oregula is not a law firm. The frameworks delivered are operational and governance documents, built to help your company set clear internal rules for AI use. They are not legal advice or a substitute for a qualified lawyer's opinion on regulatory compliance.
Tell us about your AI stack and current data handling. We'll come back with a short read on your exposure and whether a pilot review makes sense.
Or connect on LinkedIn for a quicker first conversation.