Enterprise agent architecture
Agents that read the enterprise's own semantic model, act inside enforceable boundaries, and leave evidence a reviewer can follow.
Coming soon
From systems of record to governed AI agents and enterprise outcomes
Most enterprise AI programmes stall at the same place. The demonstrations work. The pilot is convincing. Then someone asks what happens when the agent is wrong about a customer's contract, who authorised it to make that…
You have to decide what the agent is allowed to touch, and defend that decision to people who will not accept "the model is usually right" as a control.
You own what runs in production. The interesting failures are not hallucinations; they are actions taken with authority nobody meant to grant.
You have to review a system whose behaviour varies by design. That is possible, but only if the evidence was designed in rather than reconstructed afterwards.
Letting a service desk assistant reset MFA is not phase two of the same programme. Once an agent can change state, the question becomes what it may change, and on whose authority.
Directors ask whether their AI is safe. The better question is on whose authority it acts, because accuracy, confidence and technical access are not a delegation.
Enterprise technology leader and author focused on human-led agentic systems, governed AI and resilient enterprise transformation.
Hanif Karimi is an enterprise technology leader, architect and author with more than 20 years of experience delivering complex transformation across government, regulated industries and large-scale digital platforms.
He works at the intersection of enterprise architecture, cloud and platform engineering, DevSecOps, identity, AI and technical delivery. His work focuses on helping organisations move from isolated AI experiments to governed, accountable systems that create durable operational value.
Hanif combines hands-on engineering depth across cloud, software and AI systems with senior leadership of architecture, delivery and capability uplift. He is the author of The Contextual Agentic Enterprise, exploring how organisations can design human-led agentic systems with clear authority, evidence, control and responsibility.
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