The AI Worked. The Operating Model Didn’t.

An investment-advisory business had a customer-satisfaction problem. Customers spent too long on hold while agents searched for information, and customer personas were not always assessed accurately enough to identify the best-fit investment products.

The transformation introduced Agent Assist for faster knowledge retrieval and guided AI to help agents assess personas and identify suitable products. The roadmap was logical: human-led, AI-assisted, followed by AI-led, human-assisted once performance was proven.

The technology worked. The organization around it was not ready.

What went wrong?

Communication chaosThere was no mature workforce narrative. Layoff rumours spread, morale fell, and productivity and CSAT suffered.

Adoption resistanceSmall technical issues became reasons not to use the capability.

IT–Operations frictionIT saw a sound deployment while Operations saw deteriorating business performance.

ROI deteriorationAdditional deployment and support costs weakened the original economics and required renewed leadership approval.

The roadmap had described who would do the work. It had not fully defined who would own knowledge, training, adoption, workforce transition, risk, benefits and the decision to give AI greater autonomy.

81%

of Deloitte's surveyed technology leaders said they could deploy and govern AI at scale.

~75%

still expected their operating model to change within 12–18 months.

2×

PwC says leaders are about twice as likely to redesign workflows around AI.

An AI roadmap cannot answer only “What will AI do?” It must also answer “How must our organization operate differently once AI starts doing it?”

Go deeper

The full article explains seven operating-model dimensions and a 13-question AI Operating Model Test.

Read the full practitioner deep dive →

Sources

Deloitte Insights — Rewiring the enterprise operating model for AI scale — 29 Jun 2026. Deloitte surveyed 662 senior technology leaders; 81% said they could deploy and govern AI at scale while nearly 75% expected operating-model change within 12–18 months.
PwC — 2026 AI Performance Study — 13 Apr 2026. PwC reports that 75% of AI economic gains are being captured by 20% of companies; leaders are twice as likely to redesign workflows around AI and are more focused on growth, not just productivity.
Gartner — Why You’re Not Getting AI ROI — And How to Build Compounding AI Value — 13 May 2026. Public abstract: deploying AI into existing workflows often creates isolated projects and marginal gains; core processes and value streams need fundamental redesign.