TaskUs is combining agentic customer service, human evaluation, and Trust and Safety expertise to handle the work left behind as AI removes routine volume from traditional BPO contracts.
AI is taking the simplest work out of outsourcing contracts. A May 2026 study from Z47, OpenAI, and Zinnov found that about 90% of mature AI adopters in a survey of more than 100 Indian enterprise CXOs had cut some BPO spending. The sample is narrow, but the budget shift is still worth paying attention to.
For CX BPOs now, the remaining work is harder to price and harder to run. Providers now have to decide which customer journeys an AI agent can complete, connect that agent to business systems, test what it does under pressure, and repair the outcome when automation gets it wrong.
That puts TaskUs in a strange and interesting position. Its Customer Experience and Agentic AI practice sits beside TaskUs Trust and Safety, while the wider TaskUs AI services segment is growing far faster than its established CX lines. The bet is clear: TaskUs wants to earn more from governing autonomous work than it loses when clients need fewer people.
Plenty of BPOs run a Trust and Safety desk. Fewer have it independently ranked as a category leader three years running, then argue that same governance discipline should carry over to agentic CX. That’s the specific claim worth testing here, not just whether TaskUs uses the right vocabulary, but whether its T&S credibility actually transfers to judging AI customer service decisions.
Related Articles
TL;DR: What TaskUs Is Betting On
- Routine BPO volume is shrinking: Z47, OpenAI, and Zinnov reported in May 2026 that about 90% of mature AI adopters in their Indian enterprise survey had reduced some outsourced work.
- TaskUs has a joined-up offer: Its CX teams design and operate agentic journeys, while Trust and Safety specialists test behavior, review high-risk decisions, and handle the cases automation cannot settle safely.
- The proof is promising, not complete: TaskUs reports nearly 90% quality improvement in five weeks for a food-delivery agentic AI program, but it has not published the baseline, sample, or production resolution data.
- The clearest leadership proof is category-specific: Everest Group has named TaskUs a Leader in Trust and Safety Services for three consecutive years (2025). That doesn’t yet extend to independently judged leadership in agentic CX resolution quality.
- The economics haven’t caught up yet: TaskUs AI Services grew 36.1% year over year in Q1 2026, but adjusted EBITDA margin slipped from 21.3% to 19.1% as a major client automated more moderation work.
Is Agentic AI Replacing Traditional CX Outsourcing?
Agentic AI is taking over the predictable, low-risk work in CX. What’s left calls for workflow design, system access, testing, and skilled escalation, which puts seat-based and volume-based BPO contracts directly in the firing line.
The May 2026 Z47, OpenAI, and Zinnov report found 90% of the mature adopters in its survey had reduced some form of BPO spending. The research covered more than 100 enterprise CXOs in India, so it should not be treated as a global market census. It still shows where early AI budgets are coming from. Still, the work won’t disappear evenly.
Bots can handle an order status or reset a password without much drama. Fraud, disputed transactions, vulnerable customers, appeals, and angry conversations are different. Those cases need judgment, context, and somebody authorized to fix the problem.
That should change the buying criteria. Containment and contact volume can look impressive while customers return with the same unresolved problem. Buyers need cost per correct resolution, repeat contacts, wrongful actions, overturned decisions, and recovery time after a failure.
Key Takeaways
• The market signal is real, but the Z47 research represents mature Indian adopters rather than the entire global BPO market.
• AI-powered BPO should be measured by durable resolution and safe recovery, not seats removed or contacts contained.
How Do TaskUs CX, Trust and Safety, and Autonomy Assurance Work Together?
TaskUs brings CX operations, agentic deployment, human evaluation, and Trust and Safety into one service model. Its CX teams choose and run the workflow, while Trust and Safety specialists handle policy design, red teaming, decision review, appeals, and monitoring when an AI agent can act inside customer or business systems.
Jarrod Johnson, TaskUs Chief Customer Officer, described agentic AI on February 18, 2026, as the move from a digital FAQ to a “digital employee.” Those employees need governance.
TaskUs combines proprietary tools, including TaskGPT, AssistAI, AuthorAI, and Maestro, with partners such as Decagon and Regal. That broadens the technology options, but it also creates more accountability boundaries around each automated decision, even within a unified “human-in-the-loop” ecosystem
The company’s term for the control layer is autonomy assurance. Siva Raghava, Senior Director of Trust and Safety, wrote on January 13, 2026, that agents create a “critical oversight gap” once they can act through APIs and live systems. Moving fast counts for little when the result can’t be trusted.
TaskUs argues that a person should remain the final layer of the autonomy stack. Making that work across disconnected channels is another matter. Puzzel found that only 3% of 1,505 European CX leaders ran everything on one platform, leaving most companies to manage bots across systems that don’t share context cleanly.
Key Takeaways
- Autonomy assurance ties TaskGPT, AssistAI, AuthorAI, and Maestro to named human review points, rather than leaving oversight to a policy statement, because Raghava’s “critical oversight gap” applies the moment an agent can act before a human reviews it.
- Buyers should require permissions, audit rules, and reversal steps in the contract, not rely on policy statements alone.
Learn more about the value of the human-in-the-loop guardrail here.