Market Evidence · 2025

76% of organisations lack
AI governance.
The window to lead is now.

BSI's 2025 "Trust in AI" report surveyed 850+ business leaders across eight countries and analysed 123 corporate annual reports. Their findings confirm the governance gap that CORTAVEL was built to address — and reveal why agentic AI demands a fundamentally different approach to oversight.

Source: BSI — Trust in AI: Grounded in Governance (v1.0.0, 2025)

The Governance Gap

AI investment is accelerating.
Oversight is standing still.

Business leaders are racing to deploy AI — but the governance structures needed to manage autonomous systems remain critically underdeveloped.

24%
have an AI governance programme in place. For large businesses, this rises to just 34%.
28%
know what data sources their business uses to train or deploy its AI tools — down from 35% six months prior.
47%
say AI use is controlled by formal processes. A quarter admit employee AI use is not monitored at all.
30%
have a risk assessment process to determine the level of risk being introduced by AI tools.
32%
have a process for logging issues, flagging concerns or inaccuracies with AI tools.
35%
have a standardised way of assessing whether an AI tool is acting as intended.

The Paradox

Investment is surging. Confidence is falling.

While 62% of leaders expect to increase AI investment next year, the metrics that should underpin that confidence are heading in the wrong direction.

62%
expect to increase AI investment in the next year
65%
say AI has delivered tangible benefits — but this has fallen from 77% in just six months
43%
say AI investment has taken resources from other projects in the last 12 months

The Agentic Shift

Traditional AI governance assumes a human in the loop.
Agentic AI operates without one.

BSI found that transparency is twice as strong as accountability in corporate AI disclosures. Agentic systems demand the reverse — pre-authorised boundaries, not post-hoc explanations.

Traditional AI

○ Human reviews every output
○ Decisions require approval before action
○ Errors caught before they reach customers
○ Audit trail = human sign-off records
○ Governance = retrospective review

Agentic AI

◆ Acts autonomously without human review
◆ Makes and executes its own decisions
◆ Errors discovered after impact
◆ Audit trail = delegation lineage chains
◆ Governance = pre-authorised boundaries
This is why CORTAVEL exists. General-purpose AI standards don't address autonomous decision-making at speed.

Direct Alignment

Every BSI finding maps to a CORTAVEL domain.

CORTAVEL's five governance domains were designed to address exactly the gaps that BSI's research has now quantified.

⟐
Delegation
Authorisation
Who can authorise which agent to act, under what constraints, and with what scope.
⚑
Escalation
Thresholds
When must an agent pause and escalate to a human? Define the triggers and limits.
⊞
Audit Trail
Standards
Every agent decision recorded with full provenance, lineage, and data source tracking.
⬡
Protocol
Interoperability
Cross-border, cross-standard coordination ensuring agents work within jurisdictional rules.
◎
Board
Attestation
Board-level sign-off cycle confirming governance is in place, tested, and current.
BSI Finding Stat CORTAVEL Domain
Employee AI use not monitored 24% Delegation Authorisation
No process for logging AI issues 68% Escalation Thresholds
Don't know AI data sources 72% Audit Trail Standards
Not confident in cross-jurisdiction compliance 40% Protocol Interoperability
No AI governance programme 76% Board Attestation Model

The Cost of Inaction

What happens when governance doesn't keep pace.

BSI's data reveals organisations are becoming dependent on AI tools without the resilience planning to match.

48%
say their business could not continue operating uninterrupted if AI tools went down
32%
agree AI has already been a source of risk or area of weakness for their business
39%
say junior or entry-level roles have already been cut due to AI efficiencies — with 43% expecting further reductions

Without governance, organisations face:

  • Undetected autonomous AI errors at scale
  • Regulatory non-compliance across jurisdictions
  • No accountability chain for agent decisions
  • Business continuity failures with no human fallback
  • Reputational damage from ungoverned AI actions
  • Investor and stakeholder confidence erosion

The Opportunity

Business leaders are asking for what CORTAVEL provides.

The demand for transparency, external validation, and standards-based governance is clear. Early movers gain credibility.

67%
would trust AI more with increased transparency around the data it uses
54%
would trust AI more if validated by an external organisation
CORTAVEL positions your organisation to meet this demand. As the first governance framework built specifically for agentic AI, it provides the structure boards need to demonstrate responsible deployment — through delegation boundaries, escalation protocols, audit standards, and a formal attestation cycle — before regulators mandate it.
76%

of organisations lack AI governance

The governance standard
for AI you can't see.

Talk to us about CORTAVEL