AI Customer Experience Design

The problem with AI in customer experience:

Organisations add AI to customer touchpoints for the right reasons: efficiency, personalisation, scale. But they design it for the wrong audience.

They design it for the business. They optimise for cost reduction, response speed, and automation rates. They measure deflection, not satisfaction. And they deploy without stopping to ask what the customer actually needs at that moment.

The result is AI that answers questions nobody asked. Chatbots and AI Agents that escalate when they should resolve. Personalisation that feels intrusive rather than helpful. Automated journeys that remove the human moment at exactly the wrong time.

And customers who don't complain, they just don't come back.

Why this isn't a CX agency or a technology project:

Standard CX agencies understand journey mapping. AI consultancies understand technology. Neither typically understands human behaviour at the depth required to design AI that genuinely connects with customers.

Marmit AI & Transformation brings something rare to this work: advanced expertise in human behaviour and change psychology, applied directly to how customers think, feel, and decide at every touchpoint.

That means we don't just map the journey. We understand the emotional logic underneath it, what creates trust, what triggers disengagement, what makes a customer feel seen versus processed. And we use that understanding to determine where AI belongs, where it must stay out of the way, and how to design the moments in between.

The result is AI that customers don't notice as AI. They just notice that the experience feels right.

Phase 1: Diagnose
Find out what's actually happening for your customers

Customer behaviour analysis across your AI touchpoints. We examine where friction lives, where trust breaks down, and what your customers are actually experiencing, not what your analytics say they are. We combine behavioural diagnostic methods with journey analysis to build a picture of your current AI customer experience.

Phase 2: Reimagine
Redesign the experience around the customer, not the system

This is where behavioural expertise does the work that technology alone cannot. We map the ideal customer journey, identifying which moments demand human warmth, which moments AI can genuinely enhance, and which current AI interactions are actively damaging the relationship. The output is a reimagined experience blueprint built on how your customers actually think and feel.
 

Phase 3: Design
Turn the blueprint into a designed experience

Interaction design, conversation design, personalisation logic, and emotional journey mapping, all grounded in the customer behaviour insights from Phases 1 and 2. Every AI touchpoint is designed with a clear understanding of what the customer needs at that moment and what response will make them feel understood rather than processed.
 

Phase 4: Implement
Build and integrate the redesigned experience

We build and integrate the redesigned AI experience into your existing products and systems, working with your technology stack, your product team, and your operational constraints. Nothing is deployed without your sign-off, and every implementation decision is tested against the customer experience principles established in Phase 3.
 

Phase 5: Validate
Measure the difference it makes to real customers

Customer response testing, satisfaction measurement, and before-and-after evidence of experience improvement. We establish the baseline before the program begins and measure what changes. NPS, CSAT, resolution rates, and retention signals give you evidence you can show the board and confidence you can build on.

The AI Customer Experience Audit is a standalone 4-week engagement that gives you a clear picture of where your AI is helping customers and where it's hurting them, before you commit to a full redesign.

What you receive:

• Customer behaviour and touchpoint analysis across your AI interactions
• AI Touchpoint Map — what's working, what isn't, and why
• Prioritised recommendations for what to fix first
• Executive briefing on findings

• AI Customer Experience Audit Report — full diagnostic findings across all AI touchpoints
• AI Touchpoint Map — a visual picture of where AI is working, where it's failing, and the customer impact of each
• Customer Journey Reimagination — the redesigned experience blueprint grounded in customer behaviour
• AI Experience Design Specifications — interaction design, conversation design, and personalisation logic
• Implemented AI Experience — built, integrated, and deployed into your live environment
• Before-and-After Validation Report — customer satisfaction evidence with board-ready metrics

This is the right engagement if:

• You've deployed AI in customer-facing products and customer satisfaction has declined, or hasn't improved as expected
• You're about to deploy AI in a customer touchpoint and want to get the design right before it ships
• Your NPS or CSAT scores are moving in the wrong direction and you suspect your AI interactions are a factor
• Your chatbot, agent, virtual assistant, or personalisation engine is handling customer interactions without escalating to a human, but customers are leaving those interactions unresolved and unsatisfied
• You want to use AI to deepen customer relationships and not just reduce service costs

AI CX Audit only: 4 weeks

Full AI CX Program (including all 5 phases): 10–16 weeks depending on scope and complexity