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PRONTO XI CRM

An AI-Powered, Role-Based CRM 

AI-assisted UX · Role-based design · Customer intelligence · Interaction design · Research and validation

Success Matrix

Business Impact

35% increase in module upgrades

 

Product Impact

3 role-based CRM experiencesSales Representative · Sales Manager · Service Agent

 

Experience Impact

AI-assisted lead scoring, next-best action, forecasting and activity capture brought intelligence into everyday CRM workflows.

THE PROBLEM

The old CRM treated every user identically and every record equally. A sales rep, a sales manager, and a service agent saw the same dense interface, the same undifferentiated data, the same manual workflows.

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The DESIGN PRINCIPLE

One CRM. One underlying system. Three role-specific decision environments.

Sales Rep → What should I do next?

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Sales Manager → where the team required attention?

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Account Manager → Which customer needs attention, and why?

THE AI EVOLUTION

From assistance to action

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I explored an AI layer that could understand the user's role, customer context, workflow state and available CRM data before deciding what to surface. Rather than introducing a separate chatbot, the intelligence was embedded into the work already being performed.

AI IN THE WORKFLOW

AI-Prioritised Sales AGENT Workspace

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AI-Assisted Sales Manager Workflow

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AI-Assisted Account Manager Intelligence

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BUILT ON THE PRONTO XI FOUNDATION

AI without fragmenting the product

The AI experience was designed into the existing CRM architecture rather than introduced as a separate destination.

 

I maintained role-first information architecture and the shared Pronto Xi component foundation while extending the product with intelligence, recommendations and contextual actions.

VALIDATION

Validated as a product experience, not just a visual concept

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I used stakeholder and user research, contextual inquiry, heuristic evaluation and 30 usability/user-testing sessions across roles, from wireframes through high-fidelity prototypes.

 

The validation focused on whether users could understand priorities, trust the information surfaced and move through high-frequency CRM workflows with less manual effort.

OUTCOME

Business

  • 35% increase in module upgrades — the redesigned CRM directly drove existing clients to upgrade.

  • New market opened — the modern, AI-capable, ERP-integrated experience won small-to-medium business clients Pronto hadn't previously competed for.

  • Leadership recognition — the CRM redesign was recognised internally as a driver of licensing growth and competitive positioning.

Experience

  • Faster task completion across all three roles in testing.

  • Manual data entry sharply reduced through automated activity capture.

  • Managers forecasting on evidence instead of guesswork.

The value wasn't adding AI to CRM—it was changing CRM from a place to record work into a product that helped users decide WHAT TO DO NEXT!

NDA Statement: To respect confidentiality, certain details including data, visuals, and system specifics have been adapted or abstracted. The focus is on showcasing design approach, thinking, and impact."

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