AI governance should make approved AI easier to use
Enterprise AI governance is adding a day's work a week for senior leaders managing risk. The fix isn't more policy — it's an operating model that makes the approved route the fastest one.
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Press releases, customer stories, leadership essays, and upcoming events from the team building the Agentic Operating System for the Enterprise.
Enterprise AI governance is adding a day's work a week for senior leaders managing risk. The fix isn't more policy — it's an operating model that makes the approved route the fastest one.
UK workers are spending an estimated £958 million a year of their own money on generative AI tools for work, much of it unapproved. What that demand signal means for employers building a governed alternative.
As agentic AI takes on more operational work, human oversight risks becoming a procedural step rather than a safeguard. Why governance needs to protect people's judgement, not just the autonomy of the agents they review.
Full technological self-sufficiency is unrealistic for most organisations. What's achievable — and worth testing for — is operational sovereignty: keeping data, policies and supplier choice under your own control.
Sending every task to the same frontier model makes less sense as agentic AI scales. How Deliverance AI's SmartRouter balances performance, cost, risk and governance to route work to the right model for the job.

Deliverance AI has been awarded a Silver Stevie® Award for AI Company of the Year at The 23rd Annual International Business Awards®, recognising its work taking governed agentic AI from pilot to production inside enterprise environments.
Mick McNeil joins a panel on sovereign AI for regulated industries. Live demo of the Agentic Operating System on the partner stage.

Deliverance AI has won 'Best AI-Driven Business Intelligence Tool' at the UK Business Tech Awards, recognising its work helping enterprises turn AI from experimentation into governed, measurable business value.

Deliverance AI co-founder Mick McNeil convened senior leaders from enterprise technology, telecoms, biotech and finance in central London to examine what it takes to move agentic AI beyond pilots into production — where responsibility, cost-effectiveness and a governed operating layer decide who pulls ahead.

At London Tech Week, Deliverance AI, HPE and NVIDIA hosted a Masterclass on the question facing every regulated enterprise: how do you move agentic AI from pilots into production without losing control of cost, data, governance and the off switch?

UK-founded company is helping regulated enterprises deploy governed agentic AI inside private, sovereign and air-gapped environments.
Why governance has to be structural, not procedural, in agentic AI, and what that means for the next decade of enterprise platforms.
Why governance has to be structural, not procedural, and how the Agentic OS pattern compounds enterprise value workflow by workflow. A point-of-view paper from the Deliverance AI leadership team.
A reference customer reduced cost-to-serve by nearly three-quarters on a high-volume workflow while shortening time-to-completion. Anonymised case study available on request.
The C-suite field guide to moving from AI experimentation to governed production. Six layers, one control plane, five deployment modes, four principles of trust, three knowledge tiers. First circulated at Dublin Tech Week.
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