Prove AI's value. Govern it at scale.

IntentOS gives you a governed context layer that makes AI safe, consistent and accountable, starting with a high-value, measurable beachhead in marketing. One source of truth for your teams, your tools, and your LLMs.

Challenges

What it's costing you

The board expects enterprise AI value, but pilots stall before production
Shadow AI spreads faster than governance and standards
GDPR, IP, data, and brand-voice risk with third-party LLMs
No agreed way to measure, or more importantly, prove, AI's commercial impact

The result? AI spend without accountable value and risk multiplying across every team using it.

How IntentOS helps

A governed context layer that grounds every LLM in your live, approved data, available via MCP
Human-in-the-loop QA, an audit trail and clear data boundaries by design
An enterprise operating model – roles, approvals, and standards, not scattered tools
Vendor-neutral by design i.e. no lock-in; your data, usage access, and assets stay yours
Decision velocity: a repeatable insight-to-action rhythm with less rework

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Proof & outcomes (30/60/90)

30 days:

agreed governance boundaries, approved use cases, and an enterprise sign-off model

60 days:

first governed AI workflows live in a high-value domain, with QA and audit trail

90 days:

proven, auditable value for the board, and a repeatable pattern to scale org-wide

Governed by design

B Corp, Cyber Essentials, human-in-the-loop

Vendor-neutral

no lock-in; your data, usage access, and assets stay yours

From pilot to production

a repeatable, measurable operating model

AI value the board can bank on.

The CAIO's mandate is not more experiments, it's accountable value and governed risk across the enterprise. The blocker is rarely ambition; it is the gap between pilots and production, and the absence of standards, measurement and control. IntentOS closes it by turning your live market and brand context into a governed source of truth that every team, tool and LLM works from, all delivered through MCP into Claude, ChatGPT and Copilot, with human-in-the-loop QA, an audit trail, and clear data boundaries built in. Marketing becomes the ideal proving ground: high value, high volume, and measurable with Share of Intent, so you can demonstrate ROI and a control model to the board, then scale the same pattern across the organisation. Speed without strategy scales mediocrity; governed speed scales value.

'We already have an AI strategy and tooling. Why another layer?'

IntentOS is not another tool; it is the governed context and operating model that makes your existing AI safe, consistent and measurable, turning scattered pilots into accountable, auditable value.