Sean Chihwendu
Founder & CEO of AI Securewatch. Defining Enterprise AI Authority Infrastructure as the control layer autonomous AI requires before it can execute business actions.
Current role
Sean is Founder & CEO of AI Securewatch, the company that develops, owns, and operates PayReality. He is responsible for the company's product direction, enterprise engagement, and capital strategy, and works directly with the risk, procurement, and audit leaders who PayReality is built for.
What he is building
Sean leads the development of PayReality: a deterministic runtime that compiles an enterprise's existing delegated authority policy into machine-enforceable rules, and evaluates every action an autonomous AI agent attempts to execute against that policy before it runs. Every decision resolves to one of three outcomes: approve, reject, or route to human review, and produces cryptographically verifiable evidence of what was authorized and what happened.
Why the category exists
Enterprise governance, delegated authority, and approval frameworks are mature, well-understood disciplines inside large organizations. None of them were built with a mechanism for enforcing themselves against a system that can act on its own. As autonomous AI moves from producing recommendations to directly executing business actions, that absence stops being a theoretical gap and becomes an operating risk.
Sean's premise is that this is not a missing feature inside existing AI governance or AI security tooling. It is a distinct infrastructure layer that does not yet exist at the enterprise level, in the same way identity and access management did not exist before enterprises needed to authenticate machines as well as people. Enterprise AI Authority Infrastructure is his name for that layer.
Why he founded AI Securewatch
Sean's path to this problem started in procurement and tender management, not software. He spent years watching a specific, recurring failure: an organization approves a payment or a purchase under a clearly written policy, and still has no reliable way to confirm that what actually happened matched what was authorized. The policy existed. The enforcement did not.
In 2024, he began working on the problem directly, validating it with procurement and audit professionals while teaching himself to build the technical solution. He met his future co-founder, Nathan Obiekwe, after posting about an early fraud-detection tool; what began as a remote collaboration became AI Securewatch.
The company's first working system targeted payment execution specifically: the environment where an unauthorized action has the most immediate, measurable cost, and therefore the fastest environment in which to prove the model. Payments were the proving ground, not the destination.
Professional background
Before founding AI Securewatch, Sean built his domain expertise in procurement and tender management, working closely with the approval, compliance, and audit functions that any delegated authority framework depends on. He has worked on PayReality full-time since January 2026, leading the company's vision, enterprise sales, and fundraising, and shaping product decisions directly from conversations with the risk and audit teams who will operate the platform.
Vision for Enterprise AI Authority Infrastructure
Sean views delegated authority as a universal enterprise problem, not a payments problem or a procurement problem. His long-term view is that Enterprise AI Authority Infrastructure becomes standard architecture underneath any consequential action an autonomous AI system takes, from procurement and claims to treasury and HR, the same way identity and access management became standard architecture underneath every human action inside an enterprise system. Read the full case for why this category exists →
Areas of expertise
- Enterprise AI Authority Infrastructure
- Delegated authority & approval frameworks
- Procurement & tender management
- Enterprise governance and risk
- Go-to-market for regulated buyers
- Why authority, not governance, is the open infrastructure category in enterprise AI
- What procurement and treasury teams already know that AI platform teams don't
- Delegated authority as a design pattern for autonomous systems
- Deterministic policy enforcement vs. probabilistic AI guardrails