Founder of Parmana Systems. I build controls that let AI agents act on real systems: every action is checked against signed policy, and every record can be verified offline by anyone.
I am a technology entrepreneur, AI systems builder and independent researcher. My work covers decision infrastructure, autonomous systems and verifiable computing, with a focus on how organisations keep control over actions taken by AI, software and people.
At Parmana Systems I am developing deterministic authorisation, execution integrity and cryptographically verifiable evidence, so that actions stay within explicitly defined authority. I am particularly interested in turning business intent into enforceable rules, so that authorisation is explicit, execution is predictable and outcomes can be verified independently.
What can an AI agent do, and how do we prove it?
A prompt instruction is not a control. What holds up is a check before each action that a person has approved, and a record a third party can verify without trusting the system that produced it.
The core (parmana-core), the verifier and the SDKs are open source under the Apache 2.0 licence.
| Project | What it does |
|---|---|
| Parmana | Policy-gated execution for AI agents, with signed Execution Trust Records |
| Parmana Verifier | Offline checks for Execution Trust Records, with no network, no account and no dependencies |
| Package | Language | Install |
|---|---|---|
@parmana/sdk |
TypeScript client | npm install @parmana/sdk |
parmana |
Python client | pip install parmana |
@parmana/connector-sdk |
TypeScript connector SDK | npm install @parmana/connector-sdk |
parmana-connector-sdk |
Python connector SDK | pip install parmana-connector-sdk |
@parmana/verifier |
TypeScript verifier | npm install -g @parmana/verifier |
parmana-verifier |
Python verifier | pip install parmana-verifier |
Other repositories: parmana-site (website) and parmana-blog (writing on AI governance and verifiable AI).
My focus is where AI agents meet accountability: who authorised an action, what policy allowed it, and how a third party can check the record afterwards.
- AI governance for agents: why a prompt is not a control, and what enforceable controls look like.
- Verifiable AI: signed execution records, post-quantum readiness (ML-DSA-65), and offline verification.
- Regulation in practice: mapping agent controls to the EU AI Act, NIST AI RMF, ISO/IEC 42001 and RBI guidance.
- Trust and safety, and fraud at scale: lessons from a platform with more than 2 million monthly active users.
Published work:
- Parmana research paper (PDF): the Parmana design and its approach to verifiable agent authorisation.
- Regulation mapping: how Parmana supports human oversight and record keeping under the EU AI Act, NIST AI RMF, ISO/IEC 42001 and RBI guidance.
- OWASP mapping: how Parmana addresses the OWASP Top 10 for LLM and Agentic Applications.
- How Parmana compares: Parmana next to IAM, API gateways and LLM guardrails, including where it is weaker.
- Advisory: product strategy, roadmap and go-to-market for AI platforms and regulated products.
- Architecture and design reviews: implementation support for teams building AI systems that act on money or records.
- Research collaboration: verifiable AI, agent authorisation, and governance and audit evidence.
- Speaking: conferences, panels, webinars and internal workshops on AI governance and trust and safety, for business leaders, boards, regulators and students.
- Related work: trust and safety and fraud-prevention reviews, and 0-to-1 product building.
Typical audiences: business leaders deciding what AI agents may do with money, customers and systems of record; security teams that authorise, monitor and audit agent actions; governance and compliance teams that must show evidence to regulators; and educational institutions shaping AI policy and responsible-use guidance.
Book a call to talk through one real problem.
- Founder and Product Lead, Parmana Systems (August 2023 to present): built the authorisation and enforcement layer for AI agents, from 0 to 1 as sole builder, covering problem definition, architecture and implementation.
- Product Manager, Bada Business (February to July 2023): launched 0-to-1 products for digital learning and business education.
- Associate Product Manager, Shaadi.com (October 2021 to January 2023): onboarding, activation and trust and safety for a platform with more than 2 million monthly active users.
- Associate Product Manager, MakeMyTrip (April 2018 to March 2020): marketplace and supply-side products across hotels.
- Account Manager, MakeMyTrip (April 2016 to March 2018): strategic partnerships for a hospitality portfolio above ₹1,500 crore a year.
- Founder, 132Connect (April 2015 to March 2016): a platform connecting engineering students with jobs.
- Software Engineer, Tata Consultancy Services (March 2010 to April 2013).
- MBA in Finance, IMT Ghaziabad
- B.Tech, NIT Srinagar
- Mohinder Singh Charak, Co-Founder and Director. Indian Army veteran with 30 years of service.
- K. Venkata Abhigna, Partnership Manager. Works on AI automation for high-precision industries, building zero-error workflows for manufacturing, aerospace, defence and medical devices.
- Consulting, speaking and partnerships: founder@parmanasystems.com
- Book a call: cal.com/pavan-charak
- LinkedIn: linkedin.com/in/pavancharak
- Website: parmanasystems.com