The advisory model

The structural conditions for great customer experience are built into the operating model. Not added to it.

CX90 Advisory works with leadership teams to diagnose and address the structural conditions that determine whether great customer experiences are organisationally possible — and consistently deliverable at scale.

How we work

Diagnosis first. Prescription only where it is warranted.

Most advisory relationships begin with a solution already formed. Ours begin with a structured diagnostic — an honest assessment of the structural and operating model conditions that are preventing the organisation from delivering the customer experience it intends.

We engage with a limited number of organisations at any one time. Engagements are shaped by what the diagnostic reveals — not by a predetermined methodology applied regardless of context.

Our work is direct. We do not produce reports designed to be read in isolation. We work alongside leadership teams to ensure that what is diagnosed is understood, and that what is recommended is structurally actionable — not just aspirationally correct.

Intervention categories

Where engagements concentrate.

CX Operating Model Design

Most organisations have a customer experience strategy. Very few have an operating model designed to deliver it. This intervention examines the structural foundations — accountability architecture, process design, cross-functional coordination and governance — that determine whether great customer experiences are consistently deliverable or structurally accidental. It is appropriate when experience quality is dependent on individual effort rather than embedded in how the organisation works, or when CX improvements fail to survive scale, leadership transition or increased operational complexity.

Experience accountability architecture and ownership clarity Cross-functional operating model for consistent experience delivery Process and governance design for reliable CX outcomes Operating model scalability assessment for experience quality at scale

Cross-Functional CX Governance

Customer experience is produced across functions. It is rarely governed across them. This intervention addresses the accountability structures and decision rights that determine whether the whole organisation is oriented toward shared customer experience outcomes — or whether CX remains a function that influences rather than governs the decisions that most directly determine experience quality. It is appropriate when CX leadership lacks the structural authority to address the root causes of the experience gaps they are accountable for closing.

Cross-functional CX accountability and ownership design Decision rights architecture for experience-impacting decisions Governance forum design for CX outcome management Leadership alignment and commitment structures for customer experience

Experience Consistency at Scale

Experience quality is achievable in a single market, a single channel or a single product line. Maintaining it as organisations scale across geographies, customer segments and service complexity is a structural challenge most organisations underestimate until the inconsistency becomes commercially visible. This intervention identifies the mechanisms required to preserve and extend experience quality as scale increases — and addresses the structural conditions producing variance that neither investment nor effort has been able to close.

Experience standard architecture across markets and channels Consistency mechanisms for multi-market customer operations Quality governance at scale across CEE and UAE markets Experience variance root cause analysis and structural correction

AI and Automation Readiness

AI does not improve customer experiences. It amplifies the structural conditions of the operating model it enters. Deployed into environments with clear accountability, consistent processes and strong governance, AI accelerates experience quality. Deployed into fragmented, inconsistent environments, it accelerates fragmentation and inconsistency — at scale, and at speed. This intervention assesses the structural readiness required before AI and automation deployment in customer-facing functions produces reliable experience outcomes rather than compounding existing structural failure.

Operating model structural integrity for AI deployment in customer-facing functions Accountability clarity for AI-influenced customer interactions Governance readiness for AI-enabled experience decisions Risk and quality management in automated customer workflows

CX Leadership Effectiveness

The most common obstacle to great customer experience is not a CX capability gap. It is a structural one. CX leaders who are carrying operational load that structural redesign should eliminate. Leaders fighting for influence they were never structurally given. Leaders managing the symptoms of problems that only the organisation has the authority to address at their structural source. This intervention diagnoses those conditions and addresses what genuinely needs to change — in structure, in governance and in how CX leadership is positioned to drive organisational change rather than absorb organisational failure.

CX leadership mandate and structural authority assessment Escalation and accountability architecture in customer-facing functions Leadership load distribution and structural delegation design CX leader operating model and organisational interface design
Engagement structure

How engagements are structured.

CX Structural Diagnostic — entry point and standalone assessment
Structured findings review with senior leadership
Intervention scoping aligned to diagnostic findings
Engagement delivery with direct leadership access
Progress and recalibration review
Structured close with clear institutional hand-off

All engagements begin with a diagnostic phase. We do not begin with a solution and work backwards. The nature, scope and duration of an engagement is determined by what the diagnostic establishes — not by a standard template applied before we understand what is actually happening.

We maintain a selective engagement portfolio. Our capacity to work at depth depends on limiting the number of active engagements. Volume is not the model.

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