Contrary to the narrative that enterprises remain constrained by initial pilot phases, research by Sinch indicates that 63% of Australian enterprises have transitioned AI customer communications agents into production. However, these organisations are encountering systemic post-deployment challenges.
The study, based on an independent survey of 2,527 senior decision-makers across 10 countries and six industries, indicates that the primary challenge for customer communications has shifted from initial deployment to live performance, reliability, and control.
Of the 84% of Australian organisations that reported rolling back deployed AI customer agents due to governance issues, 45% cited personally identifiable information (PII) concerns—the highest rate of any country surveyed. Additionally, 22% attributed rollbacks to a lack of auditability, and 17% cited model hallucinations.
Infrastructure identified as primary predictor of success
The research indicates that satisfaction with communications infrastructure is the strongest predictor of successful AI deployment, outweighing both investment levels and guardrail maturity. Accordingly, 91% of Australian organisations categorise high-performance infrastructure as either essential or very important to the success of AI customer agents.
These deployment failures result in measurable operational impacts: 51% of Australian firms stated that support teams become overloaded when AI agents fail, while 26% anticipate reputational damage.
Wendy Johnstone, Executive Vice President, APAC at Sinch, noted that while Australian enterprises lead the global average in moving AI communications agents into production, they also experience high rollback rates. Johnstone stated that local firms are currently focused on ensuring live, customer-facing AI remains reliable and safe to deliver scalable, tailored experiences ahead of competitors.
Trust, security, and compliance lead Investment priorities
Australian organisations are increasing funding for AI in customer communications, with 67% planning to increase AI agent investment by 25% or more. Trust, security, and compliance represent a higher priority area (61%) compared to investment in core AI development itself (59%).
While 83% of Australian organisations report satisfaction with their current AI communications vendor, 86% are simultaneously exploring alternative options. This reflects the current rate of change within the industry, as organisations look to address emerging use cases quickly.
Furthermore, 60% of Australian enterprises are custom-engineering their own infrastructure to preserve customer context across channels. This integration is highly relevant locally, as Australia leads the survey in channel diversity, with an average of 3.6 channels planned for AI integration.
Johnstone added that the local AI communications landscape is shifting focus beyond the AI model itself toward the underlying infrastructure and governance frameworks necessary to deploy safe, scalable, and trustworthy customer-facing agents.
Summary of Australian findings
- Production Status: 63% of Australian enterprises have AI agents live in production.
- Rollback Rate: 84% have rolled back or shut down a deployed AI agent due to a governance failure (10 percentage points above the global average).
- Primary Rollback Trigger: 45% rollback rate driven by PII and data leakage concerns.
- Investment Priority: 72% invest in trust, security, and compliance, making it the top AI investment priority.
- Funding Outlook: 67% plan an AI investment increase of 25% or more.
- Channel Diversity: An average of 3.6 AI channels are planned for integration, the highest of any region surveyed.
Methodology
The study was conducted between January and February 2026 by Sinch in collaboration with an independent research panel provider. The global sample comprised 2,527 senior decision-makers across the United States, United Kingdom, Australia, Brazil, Germany, France, India, Singapore, Mexico, and Canada.
