Talkdesk’s new report finds an orchestration gap is turning AI investment into a dual cost — isolated tools plus unresolved customer requests.
Talkdesk, Inc., a customer experience automation company, on Aug. 25 released “The State of Agentic Automation in CX,” a report finding that AI adoption has outpaced organizations’ ability to turn that investment into business results.
While 98% of organizations have deployed AI somewhere in their customer journey, only 15% combine agentic AI with cross-departmental orchestration to resolve customer needs end-to-end, according to the report. Talkdesk said that gap creates a dual cost for businesses: paying for isolated AI tools while still absorbing the operational expense of unresolved customer requests.
Talkdesk commissioned research firm NewtonX to survey more than 250 customer experience, IT, operations and AI strategy leaders at mid-market and enterprise organizations to understand how businesses are adapting to a hybrid human-AI workforce. The survey found that 85% of organizations lack the orchestration needed to connect AI agents, human teams, data and workflows across enterprise systems, and only 5% can quantify AI’s impact on business outcomes.
“The findings expose a widening divide between AI activity and the operating capabilities required to deliver business impact,” said Tiago Paiva, Talkdesk’s chief executive and founder. “This disconnect creates a false sense of progress. Widespread AI deployment masks the reality that so few organizations can quantify AI’s impact on business outcomes. As organizations shift from deploying AI tools to managing AI as part of their workforce, orchestration has become the defining capability separating experimentation from measurable business impact.”
Fragmented AI Carries Hidden Costs
The report found that while 64% of organizations use specialized AI agents, only 35% retain customer context from one system to the next — a gap that makes end-to-end resolution difficult and drives up operational costs. Disconnected systems and legacy infrastructure present technical roadblocks for 45% and 44% of organizations, respectively, leaving nearly 80% of companies limited to 10 or fewer AI automations. When AI can’t complete a workflow, the report found, the task falls back to human agents, who lose an average of 28% of their time switching systems, re-entering data and searching for customer context.
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AI Agents Are Becoming Digital Labor
Nearly one in five organizations already view AI agents more as labor than technology, and 99% of respondents said a hybrid workforce of AI and people delivers beneficial value, according to the report. Organizations with the highest CX automation maturity are more than 10 times as likely to run AI and people as a unified operation — evidence, Talkdesk said, that while AI is becoming part of the workforce, the operating models to manage it are still taking shape. Leaders remain hesitant to hand over control, with 52% citing trust in AI decisions as a primary concern; despite that, 94% of organizations operate without AI-assisted knowledge management, missing a foundation the report says is needed for accurate, effective AI agents.
Orchestration Drives Measurable Gains
The report defines a maturity curve based on agentic AI capability and cross-departmental orchestration, and found that maturity translates directly into business outcomes. Organizations combining agentic AI with cross-departmental orchestration are four times more likely to report major gains in customer satisfaction or Net Promoter Score, and companies with higher automation maturity are nearly twice as likely to automate revenue-driving use cases such as churn prediction and personalized recommendations. Among the most mature organizations, 38% autonomously resolve more than 40% of customer issues — a threshold no organization in the lowest maturity tier reached.
“Talkdesk’s benchmark data is a wake-up call: deploying AI is easy, but operationalizing it is where most enterprises stall,” said Zeus Kerravala, principal analyst at ZK Research. “Moving from AI experimentation to real execution requires an operating model where AI, people, data, and workflows operate as a unified workforce. That’s where true business value will be created.”
“AI agents are becoming part of the customer experience workforce. But organizations need more than another AI tool — they need a way to manage how AI and people work together,” said Munil Shah, Talkdesk’s chief product, technology and customer officer. “We built Talkdesk Customer Experience Automation on the belief that AI creates value when it can coordinate work across systems, departments, and people. The research findings show why orchestration matters: the companies seeing the greatest business impact aren’t just adding more AI — they’re orchestrating work across a hybrid workforce that delivers on the outcomes customers and businesses expect.”
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Eighty-three percent of organizations surveyed expect autonomous issue-resolution rates to rise over the next two years, the report found.
The survey was conducted by NewtonX in April 2026 among 252 director-level-and-above decision-makers responsible for CX, IT, operations or AI strategy at mid-market and enterprise organizations across North America, EMEA, Latin America and Asia-Pacific, spanning industries including healthcare, financial services and retail.
