Founder, 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 organizations keep control over actions taken by AI, software and people. At Parmana Systems I am developing deterministic authorization, execution integrity and cryptographically verifiable evidence that actions stay within explicitly defined authority. I am particularly interested in turning business intent into enforceable rules, so that authorization 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 Apache 2.0.
My focus is where AI agents meet accountability: who authorized 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 & safety and fraud at scale: lessons from a platform with 2M+ monthly active users
Published work:
- Parmana research paper (PDF): the Parmana design and its approach to verifiable agent authorization
- 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
I am open to:
- 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 authorization, and governance and audit evidence
- Speaking: conferences, panels, webinars and internal workshops on AI governance and trust & safety, for business leaders, boards, regulators and students
- Related work: trust & 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 authorize, 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.
- Parmana: policy-gated execution for AI agents, with signed Execution Trust Records (parmana-core)
- Parmana Verifier: offline checks for Execution Trust Records, with no network, no account and no dependencies (parmana-verifier)
| 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).
- Mohinder Singh Charak, Co-Founder & Director: Indian Army veteran with 30 years of service
- K. Venkata Abhigna, Partnership Manager: AI automation for high-precision industries, building zero-error workflows for manufacturing, aerospace, defence and medical devices
- Founder & Product Lead, Parmana Systems (Aug 2023 to present): built the authorization and enforcement layer for AI agents, from 0 to 1 as sole builder: problem definition, architecture and implementation
- Product Manager, Bada Business (Feb to Jul 2023): launched 0 to 1 products for digital learning and business education
- Associate Product Manager, Shaadi.com (Oct 2021 to Jan 2023): onboarding, activation and trust & safety for a platform with 2M+ monthly active users
- Associate Product Manager, MakeMyTrip (Apr 2018 to Mar 2020): marketplace and supply-side products across hotels
- Account Manager, MakeMyTrip (Apr 2016 to Mar 2018): strategic partnerships for a hospitality portfolio above ₹1,500 crore a year
- Founder, 132Connect (Apr 2015 to Mar 2016): a platform connecting engineering students with jobs
- Software Engineer, Tata Consultancy Services (Mar 2010 to Apr 2013)
Education: MBA in Finance, IMT Ghaziabad · B.Tech, NIT Srinagar
- Consulting, speaking and partnerships: founder@parmanasystems.com
- Book a call: cal.com/pavan-charak
- LinkedIn: linkedin.com/in/pavancharak
- Website: parmanasystems.com



