AI rollouts fail because leaders skip diagnosis: CX Psychologist

MANCHESTER, UNITED KINGDOM — The failure mode of AI deployments in customer experience is not a technology problem — it is a leadership one. Danny Wareham, Founder and Lead Psychologist at Firgun, argued in a report from CX Today that most organizations are purchasing AI tools out of competitive anxiety rather than to solve a diagnosed problem, and that gap is where AI investment fails to generate the returns it promises.

FOMO purchases, not problem-solving, define most AI rollouts

Wareham’s diagnostic critique targets the upstream purchasing decision: when AI tools are selected to neutralize competitive anxiety rather than address a specific operational gap, the deployment lacks a clear success framework — and the agents being asked to work alongside the new tools lack a meaningful case for why the change serves them.

The contact center is where customer relationships are won, retained, or lost — and treating it primarily as a cost-reduction target means systematically missing the revenue and loyalty value that AI-enabled agents can generate.

“Decision makers purchase AI tools because they feel that if they don’t, their competitors are going to have some sort of lead on them,” said Danny Wareham, Founder and Lead Psychologist at Firgun.

IKEA’s billion-dollar agent redeployment sets the benchmark

IKEA’s AI deployment reduced inbound call volume by 47% — but 53% of customers continued calling anyway, underscoring a fundamental insight: AI reduces transactional volume but does not eliminate the human contact customers choose when they need it most.

IKEA retrained the agents displaced from transactional call handling as amateur interior designers, a value-additive redeployment that generated an additional $1 billion in revenue — converting a cost-reduction initiative into a revenue growth strategy.

Wareham attributes agent resistance to AI to self-determination theory — the finding that people resist change when their competence, autonomy, or role clarity feels threatened — and recommends the Constellation leadership model as the structural alternative.

The Constellation model replaces fixed job descriptions with flexible contribution frameworks drawn from military mission command — allowing agents to expand their value contribution as AI absorbs transactional tasks rather than defend a narrowing role.

“If your CFO’s mindset is around OPEX savings, you tend to miss all of the value that’s potentially there,” Wareham said.

For BPO operators and CX outsourcing firms managing agent workforces through AI transitions, Wareham’s framework reframes the deployment question from “which tools to buy” to “which problem to solve first.” 

The IKEA case — $1 billion in new revenue from a workforce originally targeted for reduction — is the benchmark buyers should set before signing the first AI contract. FOMO-driven purchasing produces FOMO-sized returns; diagnostic purchasing produces IKEA-sized ones.