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AI Readiness · Service · AI Confidence · Detailed overview

AI Confidence, in detail

What AI Confidence is, who it is for and how it runs. Outline of what the organisation receives, AI Governance alongside it, the obligations that apply, responsibilities, buying, the investment and where other work belongs.

ReferenceSRV/2026/05
Updated9 Oct. 2026
Investment (from)£3,000 / $4,000 a monthMonthly investmentCovers up to 50,000 monthly page views, across unlimited websites.

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AI Discovery establishes the position, AI Accelerator acts on it, and AI Confidence brings oversight as you advance: knowing what AI says about the organisation, month by month, and being able to show it.

01The problem.

Visibility

Keeping content reachable and correctly read, across all the websites that publish in the organisation’s name, is continuous work.

What AI says about an organisation moves with what the organisation publishes, and with how AI reads it. A position is only as current as the last time it was checked.

Exposure

Directors and officers should expect to be asked what the company knew and what the board oversaw, and a monthly, independent record answers both.

Both issues are here today. Over them sits the issue still arriving: as organisations rely ever more on AI for efficiency, the pace of change becomes the overarching issue, and keeping pace decides the value they draw from AI. AI Discovery establishes the position, AI Accelerator acts on it, and AI Confidence provides your ongoing oversight.

02What AI Confidence is.

AI Confidence is the ongoing service that monitors the organisation’s position across its digital landscape and reports on it independently each month.

It is the oversight and board reporting layer of the service line, and its name describes the outcome: knowing what AI says about the organisation, and being able to show it.

03Who it is for.

AI Confidence is for boards and executive teams that need to know, month by month, what AI says about the organisation, and to evidence it to investors and insurers. Its reporting is written for the board, and the organisation’s own teams make the corrections it calls for.

End clients and agencies can both buy AI Confidence, and the service provided is set.

04How AI Confidence addresses both.

Visibility and reach

AI Confidence watching your digital landscape, beyond the primary website.

New content, retired content and changes in how AI reads it are brought to your attention. Each website that is to remain is brought to the standard set on the primary website. Secure Tag is used across all websites in scope, and the organisation’s teams make the corrections with AAAnow’s guidance.

Exposure

An independent monthly report from outside, and each report part of the record.

Gallagher’s governance guide for directors, published in Aug. 2026, advises boards to expect investors, regulators, plaintiffs’ firms and insurers to ask what the company knew, who was responsible and what the board oversaw.1 An independent monthly report from outside answers those questions, and each report becomes part of the record.

Once the digital estate is known and under control, the AI Governance module adds the organisation’s own content rules, with alerts and a full audit trail.

The issue ahead: pace

Pace is the issue ahead, and it is what will make monitoring essential.

Organisations will rely ever more on AI for efficiency, and the value of that reliance depends on keeping pace with what AI reads.

External oversight keeps pace on 2 fronts. It supports the organisation’s visibility in AI as it grows, and reports on how its own brand and content governance rules are being applied.

05How it runs.

Monitoring is continuous, and the organisation sees the result each month and each quarter.

Continuous

Monitoring across the digital landscape.

Monthly

A concise, independent report.

Quarterly

A half-day workshop / Q&A.

First 3 to 6 months

Where AI Confidence follows AI Accelerator, the organisation completes the remaining corrections while the position is monitored.

06What the organisation receives.

Each month brings a report showing what AI is saying about the organisation, how misinformation exposure has moved, what has been corrected, and where it stands on the AI Readiness Maturity Scale™. A half-day workshop follows each quarter (online 3 hours).

Behind the reporting sits continuous monitoring of the digital landscape, covering mapping, landscape understanding and GDPR testing, with Secure Tag across all websites in scope. Month by month, this builds an independent record for the board, investors and insurers, which AI Governance extends with each rule, finding and decision.

The monthly report by website · Illustrative

Sep. 2026, vs Aug. 2026

The monthly report by website, illustrative. Select a website to see its detail.
WebsiteStagePositionSince last monthDetail
OPTIMISE68%+18
ACT45%+17
OPTIMISE66%+16
ACT41%+15
OPTIMISE58%+14
ACT38%+14
ACT36%+12
ACT33%+9
ACT31%+8
ACT29%+6
ACT27%+5
ACT30%−6
ACT26%−5
OPTIMISE59%−4
ACT34%−4
MONITOR78%−3
ACT22%−3
ACT40%−3
OPTIMISE53%−2
ACT44%−2
MONITOR88%No change
OPTIMISE72%No change
OPTIMISE61%No change
OPTIMISE55%No change
ACT47%No change
ACT46%No change
ACT42%No change
ACT35%No change
ACT32%No change
ACT28%No change
ACT25%No change
ACT21%No change
ACT20%No change
ACT19%No change
ACT18%No change

Illustrative. Website names and figures show the format of the monthly report.

07AI Governance, alongside AI Confidence.

AI Confidence watching your digital landscape. AI Governance, the optional module added alongside it and invested in separately, checks that content against the organisation’s own rules for as long as it stays online.

Governance follows once AI Confidence has brought the digital estate into view and under control, because rules applied to an unknown or outdated estate produce findings nobody can act on. The websites and documents brought into view then become the scope the rules are checked against.

The module works in 4 steps:

  1. Step 1
    The organisation supplies its approved information and the requirements it already applies in publishing, compliance and content review. A rule might require that financial information keeps its approved figures and reporting period, or that safety guidance carries its applicable warnings.
  2. Step 2
    When content drifts from a rule, the person who owns it is alerted, with the rule, the page and the text in question.
  3. Step 3
    The owner decides whether the content conflicts with the approved position, and the organisation corrects, retains or retires it.
  4. Step 4
    A full audit trail connects the finding to the review, the action and the follow-up check.

For directors and officers, that record is the evidence. When a board, a regulator or an insurer asks what rule applied and what was done about it, the answer is already written down.

08The obligations that apply.

Published information carries obligations, and AI now repeats that information to the people those obligations protect. Each obligation applies to content as it stands today, so the check has to run as continuously as the publishing.

  1. UK: London Stock Exchange, Admission and Disclosure Standards (Jul. 2024), section 1.72
    What it asks: Timely disclosure of price-sensitive information under UK market-abuse law.
    What it could mean for what AI repeats: Results AI draws from an outside or outdated source stand in for the company’s own release.
  2. US: New York Stock Exchange, 2026 Annual Guidance Letter3
    What it asks: Released information must be factually accurate.
    What it could mean for what AI repeats: A results PDF read with figures in the wrong columns is not accurate as received.
  3. US: Nasdaq, Rule 52504
    What it asks: Prompt public disclosure of material information, subject to its exceptions.
    What it could mean for what AI repeats: Where AI cannot reach the company’s disclosure, third-party and historic sources supply the answer.
  4. UK: Corporate Governance Code, Provision 295
    What it asks: From financial years beginning on or after 1 Jan. 2026, the board declares the effectiveness of material controls.
    What it could mean for what AI repeats: The information AI reads is a control the board will be asked to stand behind.
  5. UK: Companies Act 2006, section 174.6 US: Marchand v Barnhill (Delaware, 2019)7
    What it asks: Reasonable care, skill and diligence, and a good-faith effort by the board to put monitoring of central compliance risks in place.
    What it could mean for what AI repeats: Monitoring what AI repeats, set up before an incident, is evidence that oversight existed.
  6. UK: HSE, Leading health and safety at work (INDG417)8
    What it asks: Health and safety must be led by the board, including monitoring, reporting and reviewing performance.
    What it could mean for what AI repeats: Safety guidance AI repeats without its warnings reaches the people the board is responsible for.
  7. US: California, Cal/OSHA, 8 CCR §3314(g)(1)(B)9
    What it asks: The employer’s written hazardous energy control procedure sets out the steps for shutting down, isolating, blocking and securing machines or equipment.
    What it could mean for what AI repeats: An equipment document AI reads out of order, or from a superseded version, can hand a technician those steps in the wrong sequence.
  8. UK: FCA Consumer Duty, PRIN 2A.510
    What it asks: Firms test and monitor customer communications and address deficiencies.
    What it could mean for what AI repeats: A page AI still returns to a customer is a communication the firm is expected to have tested.

What each obligation could mean for what AI repeats is illustrative. Advice on each obligation sits with the organisation’s own legal advisers.

The more AI-enabled an organisation becomes, the more of its decisions rest on what AI reads. An engineer checking a shutdown sequence and an analyst checking a reported figure both act on an answer drawn from published material, some of it years old.

So the question for the board is direct: who has oversight of what AI tells our people, and our customers, about us? Internal teams see the websites they run. Continuous external oversight is how the board keeps tabs on the rest, and shows that it did.

Aon reports growing insurer interest in AI governance evidence within D&O underwriting, so the same record matters at renewal.11

09The outcome.

The outcome

The organisation knows what AI says about it, month after month, and holds the independent evidence to show it.

The board can approve AI investment knowing what AI already believes about the organisation, and bring that record to investors and insurers at renewal.

10Responsibilities.

AAAnow brings oversight to your digital landscape and reports on it. The organisation makes the corrections.

AAAnow

Monitoring

Monitors the digital landscape continuously.

Report

Produces the monthly report.

Reviews

Runs the monthly review and the quarterly workshop.

Secure Tag

Provides Secure Tag across all websites in scope.

Priorities

Guides the priorities for correction.

Rules

With AI Governance, checks content against the organisation’s rules and alerts the owner.

Audit trail

With AI Governance, keeps the full audit trail.

The organisation

Websites

Confirms the websites that are to remain.

Reviews

Brings its corrections and changes to each review.

Corrections

Makes the corrections the reporting calls for.

Secure Tag

Provides the technical resource for Secure Tag.

Decisions

Decides what is corrected, retained or retired.

Rules

With AI Governance, supplies the approved information and the rules.

Findings

With AI Governance, reviews each finding and records the decision.

11Buying and what follows.

AI Confidence is the client’s choice: it can follow AI Accelerator or be bought on its own, by end clients or by agencies. After AI Accelerator, AAAnow’s continued involvement comes through AI Confidence, and the service is sold as defined here, without consultancy time or additional days. A further website needing a full assessment is taken through its own AI Discovery.

What follows is the AI Governance module, an optional capability added alongside AI Confidence and invested in separately, once the digital estate is known and under control.

12Investment.

The investment

From £3,000 / $4,000 a month

Covering up to 50,000 monthly page views across unlimited websites.

13Where other work belongs.

Each stage of the service line has a distinct role.

Establishing the position

AI Discovery.

Acting on the agreed changes

AI Accelerator.

Content rules, alerts and audit trail

AI Governance module, optional, alongside AI Confidence.

Changes to content

The organisation, with AAAnow’s guidance and review.

14Sources.

  1. Gallagher
    Artificial Intelligence and the Modern Board: A Practical Governance Guide, Aug. 2026.
  2. London Stock Exchange
    Admission and Disclosure Standards, Jul. 2024.
  3. New York Stock Exchange
    2026 Annual Guidance Letter.
  4. Nasdaq
    5200 Series, Rule 5250.
  5. Financial Reporting Council
    UK Corporate Governance Code.
  6. Companies Act 2006
    Section 174.
  7. Marchand v Barnhill
    Delaware Supreme Court, 2019.
  8. Health and Safety Executive
    Leading health and safety at work, INDG417.
  9. California Code of Regulations
    Title 8, Section 3314.
  10. FCA Handbook
    PRIN 2A.5, Consumer Duty.
  11. Aon
    AI Risk 2026: What Business Leaders Need to Know.