AI Sales

AI Sales

CRM

CRM

Turning CRM data into customer context

Turning CRM data into customer context

Turning CRM data into customer context

Redesigning Joyz AI's CRM to bring conversations, calls, notes, tickets and AI activity into one workspace.

ROLE

Product Designer

Product Designer

STATUS

Live

Live

IMAPCT

Screens per lead reduced to

↓1 from 5

↓1 from 5

First action time reduced to

35 sec

35 sec

AI handoffs made visible

80%

80%

TEAM

1 Product Designer (me)

1 Product Manager

1 Tech lead and 3 developers

a computer screen with a bunch of data on it

Context

Context

Why sales team needed better context

Why sales team needed better context

Joyz AI helps sales teams engage, qualify, and follow up with leads across WhatsApp, AI agents, and voice calls.

Every interaction creates useful customer context—what was discussed, what changed, what the customer asked for, and what should happen next. But that context was spread across conversations, notes, tickets, contact fields, and activity logs.

As the product expanded, salespeople had to move between different parts of the CRM to understand a customer before taking action.

The customer story was scattered across the CRM

The customer story was scattered across the CRM

The old CRM stored customer information across separate views, making it harder to build a complete picture before taking action.

Customer context was split across different places

Customer context was split across different places

Contact details, conversations, notes, tickets, and activity logs lived in separate areas, forcing salespeople to move between views to understand what had happened.

Activity logs showed events, not the story

Activity logs showed events, not the story

The CRM recorded status changes, updates, and system actions, but users had to interpret these events themselves to understand the customer's journey.

Actions were disconnected from context

Actions were disconnected from context

Calling, adding a note, creating a ticket, or starting a conversation often meant navigating between different parts of the CRM instead of acting directly from the customer workspace.

what sales teams kept looking for

what sales teams kept looking for

Conversations with sales and support teams revealed a recurring need: they wanted to understand the full customer story before deciding what to do next.

  • “What happened with this customer before I picked this up?”

    — Rakesh kumar

  • “Where can I see the previous conversations?”

    — Deepak Sisodia

  • “Did anyone already follow up with this lead?”

    — Manoj Sharma

  • “What was discussed on the last call?”

    — Raju Chauhan

  • “Are there any open tickets for this customer?”

    — Mayank Sandaliya

  • “What did the AI agent do with this lead?”

    — Ritu Raj

  • “Where can I see the notes from the previous salesperson?”

    — Ganesh Rathod

  • “What should I do next with this customer?”

    — Priyanka Pal

  • “What happened with this customer before I picked this up?”

    — Rakesh kumar

  • “Where can I see the previous conversations?”

    — Deepak Sisodia

  • “Did anyone already follow up with this lead?”

    — Manoj Sharma

  • “What was discussed on the last call?”

    — Raju Chauhan

  • “Are there any open tickets for this customer?”

    — Mayank Sandaliya

  • “What did the AI agent do with this lead?”

    — Ritu Raj

  • “Where can I see the notes from the previous salesperson?”

    — Ganesh Rathod

  • “What should I do next with this customer?”

    — Priyanka Pal

Based on real support conversations; details modified for privacy.

Based on real support conversations; details modified for privacy.

Goals

Goals

what we set out to do

what we set out to do

Three product questions shaped the redesign from the beginning. Some focused on usability, while others laid the foundation for Joyz AI's AI-powered sales experience.

"How do we help sales teams understand a lead in seconds instead of minutes?"
"How do we help sales teams understand a lead in seconds instead of minutes?"

Bring the customer story into one place

Bring the customer story into one place

Unify conversations, calls, notes, tickets, and AI activity into one clear, chronological customer history.

“How can I take action without losing context?”
“How can I take action without losing context?”

Keep actions close to customer context

Keep actions close to customer context

Make calling, chatting, adding notes, and creating tickets available directly within the customer workspace.

“How can sales teams know what AI has already done?”
“How can sales teams know what AI has already done?”

Make AI activity part of the customer history

Make AI activity part of the customer history

Bring AI conversations and actions into the same timeline so sales teams can quickly see what happened and take over.


APPROACH

APPROACH

designing the CRM around the customer

designing the CRM around the customer

The redesign wasn't about adding more CRM features. It was about changing how salespeople understand, navigate, and act on customer context.

Pin icon image

01

One customer. One timeline.

I brought calls, notes, AI activity, and tickets into one timeline, so sales teams can understand the customer without jumping between views.

Pin icon image

02

Put actions where decisions happen.

I placed Call, Chat, Note, and Ticket within the customer workspace, so users can act without losing context.

Pin icon image

03

Make AI activity part of the customer story.

I added AI conversations and actions to the same history, so sales teams can see what AI has already handled.

Pin icon image

04

Keep the customer visible while exploring.

I kept contacts, customer history, and details within one workspace, making it easier to move through the CRM without losing context.

THE COMPLETE JOURNEY

THE COMPLETE JOURNEY

from AI qualification to sales action

from AI qualification to sales action

from AI qualification to sales action

The redesigned CRM experience guides sales reps through the complete journey of managing a qualified lead. From AI qualification and sales handoff to understanding the lead, taking action, scheduling follow-ups, and tracking activity, each step keeps the customer context connected.

LAYOUT

LAYOUT

one workspace for the lead

one workspace for the lead

I brought customer information, sales actions, AI insights, and activity history into a single workspace.

The decision: Put the lead at the centre so salespeople can understand and act without losing context.

MAKE CALL

MAKE CALL

call that captures the context

call that captures the context

Reps can start calls through the Joyz app, see the live status, add notes during the conversation, and keep the recording attached to the lead.

The decision: Capture the conversation and its context together, so nothing important is lost after the call.

CHAT

CHAT

chat without switching screens

chat without switching screens

Reps can talk to customers directly from the lead while keeping their details and history available.

The decision: Keep the conversation in the same workspace as the customer information.

ADD NOTES

ADD NOTES

capture what matters

capture what matters

Reps can quickly add important details, customer preferences, or next steps and save them directly to the timeline.

The decision: Make capturing context lightweight enough to happen during the work, not after it.

FOLLOW UP

FOLLOW UP

plan the next action

plan the next action

Reps can set a reminder for the next action with a lead, including when it should happen and what needs to be done.

The decision: Turn “I’ll follow up” into a clear action the CRM can remember.

AI INSIGHT

AI INSIGHT

let AI suggest what to do next

let AI suggest what to do next

let AI suggest what to do next

AI learns from every customer touchpoint and surfaces the key signals and a suggested next action, so reps can decide what to do without reading through every past conversation.

TIMELINE

TIMELINE

see the full lead story

see the full lead story

see the full lead story

The timeline brings the entire lead journey into one place, from AI conversations and sales calls to notes, follow-ups, and updates. Reps can quickly understand what happened without checking multiple sections.

impact

TIMELINE

what changed after launch

what changed after launch

what changed after launch

How the new experience changed the way sales teams worked.

5→1

Views collapsed into one

Reduced lead research from 5 screens to one unified workspace.

35 sec

Faster first action

Average time for a rep to understand a lead's full history before acting.

80%

AI handoffs made visible

Made AI actions visible, helping reps understand lead context before taking over.

My learnings

My learnings

what I see differently now

what I see differently now

what I see differently now

This project changed how I think about connecting AI insights, customer context, and sales actions.

01

AI qualification is only valuable when sales reps can act on it.

02

Every interaction with customer should make the next one easier.

03

Keeping actions with context makes sales workflows faster.

04

Edge cases deserve the same attention as the happy path.

Lets

Lets

Lets

incredible work together.

incredible work together.

incredible work together.

© 2026 Amrit Sunari

© 2026 Amrit Sunari

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