Observed Signal · Jul 7, 2026 · Research Report · Source: https://martechseries.com/feed/ · Impact: 3/5 · Sentiment: Negative

Enterprises Deploy AI Faster Than Governance, Smarsh Study

Executive Signal Summary

Smarsh released the 2026 Enterprise AI Trends Study (conducted by FTI Consulting) finding that 55% of enterprises are actively deploying AI while only 26% say governance is keeping pace. The report highlights limited visibility into unauthorized or "shadow AI" (only 30% report comprehensive detection and management capabilities) and frames communications data as a critical foundation for responsible AI, investigations, and business intelligence. The study identifies five trends — governance lagging adoption, communications data becoming strategic, interconnected systemic risk across AI agents/APIs/third-party apps, a shift toward proactive security and resiliency, and compliance evolving into a strategic function. It also reports enterprise investment priorities: 62% in AI/ML capabilities, 53% in data quality/enrichment, and 51% modernizing archives. Smarsh and FTI executives emphasize that scaling AI safely requires stronger data governance across connected ecosystems.

Polaris7 AgentPolaris7 Strategic Assessment
High Confidence

The report highlights a widespread governance gap as enterprises rapidly adopt AI; this raises compliance, security and operational risks and signals increased demand for data-governance, compliance and archive modernization solutions that are directly relevant to MarTech/AdTech operations.

SIGNAL RADAR

Track Business Wire Signals & Market Shifts in Real-Time

Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.

Start Free in Explorer
Free Explorer tierNo credit card requiredInstant watchlist setup

Key Takeaways & Evidence Grounding

  • Smarsh published the 2026 Enterprise AI Trends Study.
  • 55% of enterprises reported actively deploying AI.
  • Only 26% of enterprises say governance frameworks are fully aligned with AI implementation pace.
  • 30% of enterprises report comprehensive capabilities to detect and manage shadow AI.
  • The study was conducted by FTI Consulting and cites enterprise investment: 62% in AI/ML, 53% in data quality/enrichment, and 51% modernizing archives.

Connected Companies & Entities

4 Entities mapped

“MarTech Series is a leading publishing platform that provides daily updates on marketing technology news......”

“As part of the iTech Series network, it acts as a "Brand to Demand" partner....”

“MarTech Interview with Theresa Pham, Head of Product @ Wayvia (linked in the article)...”

Primary Source Grounding & Direct Attribution
Direct Origin Attribution
Primary Reporting: https://martechseries.com/feed/•Published: Jul 7, 2026
Original Coverage Title: “New Smarsh Research Finds Enterprises Are Deploying AI Faster Than They Can Govern It”

Related Market Signals & Shifts

Recent verified developments and strategic activity across this market segment.

Data Governance / ConsentJun 11, 2026

81% of Enterprises Stall AI Over Data Governance Gaps

Transcend published The 2026 State of Customer Data in the World of AI, a report based on a survey of 228 senior IT and business leaders at enterprises with 5,000+ employees. The research finds 81% of enterprises experienced at least one AI initiative delayed, scaled back, or abandoned in the prior 12 months, and identifies permission and governance gaps as the primary cause. Key issues include high rates of permission errors during the AI lifecycle (93%), engineering time consumed by remediation rather than feature work (only 23% of AI engineering hours go to features), and limited enterprise readiness for AI governance (15% have all four foundational capabilities). The report introduces an “Encoded AI Governance” framework, outlines five best practices and a 90-day phased action plan, and includes case studies where Transcend helped large enterprises unblock revenue.

Read assessment
AI GovernanceAug 18, 2026

Agentic AI Outpaces Enterprise Governance

Enterprises are rapidly adopting autonomous AI agents, but governance frameworks are failing to keep pace, according to research cited from AI governance platform Optro. The study finds many organisations use AI in critical workflows while a significant share have not tested for agent failures or established dedicated AI risk safeguards. The article highlights incidents of misleading AI outputs, AI-related data breaches, and regulatory scrutiny, and quotes Optro and Newell Brands executives urging updated governance, clear accountability, and a balance between autonomy and human oversight across marketing, IT, legal and security functions.

Read assessment
Customer Experience (CX)Jun 15, 2026

Survey: European Firms Scale AI but Lack Governance

A Vanson Bourne survey of 200 senior CX, contact centre, compliance, risk and data leaders across Western and Central Europe, commissioned by CallMiner and reported via Business Wire/MarTech Series (published 2026-06-15), finds nearly universal pressure to scale AI in customer experience (99%) but limited governance: only 38% report a clear AI governance approach. The study highlights gaps between rapid AI adoption (59% scaling quickly) and compliance (39% say compliance keeps pace), multilingual challenges (96% use AI in multilingual CX; 64% call it a major challenge), and trust concerns—accuracy, explainability and data protection drive customer trust. Organisations increasingly rely on external vendors to accelerate adoption (71%) and for evolving regulatory compliance (66%). CallMiner’s VP of International, Frank Sherlock, emphasised the need for visibility, human oversight and governance to mitigate CX and compliance risks.

Read assessment

Track Real-Time Market Signals & Shifts

Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.