TLDR: Eighty five percent of organizations want agentic AI within three years, yet 76 percent say their people, processes, and infrastructure canāt support it. Experts argue leaders must redesign the operating model, workforce, and success metrics to realize workflow wide automation.
Key Takeaways:
- Many firms chase agentic goals by adding agents to existing workflows, not redesigning the operating model or decision rights.
- PwC UK CTO Prasun Shah calls it āsticky tape,ā warning that agentic AI needs technology, workforce, and metrics rebuilt as one system.
- Outcome focused metrics matter: activity measures can mislead when agents handle far more work, even if customer value drops.
Hiring AI agents by attaching them to old workflows is like bolting a jet engine to a bicycle. The power is real, but without rewiring decisions, incentives, and measurement, frustration is basically baked in.
Hiring AI agents by attaching them to old workflows is like bolting a jet engine to a bicycle. The power is real, but without rewiring decisions, incentives, and measurement, frustration is basically baked in.
Q&A
What breaks first when leaders add AI agents without redesigning decision rights?
Expect bottlenecks in approval loops and unclear accountability, where humans and agents both hesitate or double act, slowing outcomes more than expected.
Why do activity based KPIs fail specifically in human AI teams?
Agents can increase throughput dramatically, so high volumes can mask poor customer impact unless metrics track satisfaction, retention, and escalation reduction.
How does the manager role shift when AI agents coordinate tasks at machine speed?
Managers move toward hybrid team governance, focusing on trust, explainability, psychological safety, and resolving conflicts when humans and agents disagree.
What does āconnective tissueā mean in practice for enterprise tech stacks?
It means enabling agents to access multiple datasets and applications together, so they contextualize decisions across systems rather than operate in isolated tools.
What is the next likely battleground after pilots prove agentic value?
Architecting for fast business to production flow, where enterprises configure agents in natural language and connect them quickly to the right systems and controls.
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