Unify customer conversations, automate responses, and help teams respond smarter with AI.
Project description
InboxPulse is an AI-powered omnichannel customer communication platform designed to bring conversations from multiple channels into one intelligent workspace.
I worked across product strategy, workflow design, AI integration, and product engineering to create a system where teams can manage customer conversations, collaborate efficiently, and use AI to improve response workflows.
The platform combines a unified inbox, AI-powered response assistance, team collaboration, customer management, and communication analytics, helping businesses reduce fragmented workflows and manage customer interactions more efficiently.
Key capabilities
Unified Inbox - manage customer conversations from multiple channels in one place.
AI-Powered Support - generate contextual AI assistance for customer communication.
Omnichannel Communication - connect messaging and website communication channels into a centralized workflow.
Team Collaboration - assign and manage conversations across customer-facing teams.
Customer Management - organize customer information and conversation history.
Real-Time Insights - understand communication activity and team performance through analytics.
This week, I have been working on automating my boss's inbox management, delegating email triage to AI while I handle reviews and approvals that require sound judgment. Because one wrong response to a client can cost a business revenue, I wanted to build a system that saves time without handing over critical decisions to AI.
How I built it:
I created two connected automation scenarios in Make.com.
Scenario 1: Intelligent Inbox Triage:
AI analyzes incoming emails, categorizes them by priority, summarizes their content, and recommends the next action. This makes it easier to identify urgent messages and decide what needs attention first.
Scenario 2: Human Review & Approval:
The workflow supports the review and approval process before an email is sent. Slack notifications help bring relevant updates to my attention, so I can review the proposed action and approve the response before it goes out.
Below are snippets of the two scenarios, including a Slack notification, showing how the workflow operates.
My takeaway? AI can help manage the inbox, but when a response could affect revenue or a client relationship, the final decision should remain human.
I'd test the triage with urgent emails that sound casual, such as 'I still can't access the account.' Do you review a sample of low-priority messages to catch urgent ones the AI missed?
Pipely is an AI-powered sales platform designed to turn conversations into actionable outcomes. The experience brings together video calls, AI-generated insights, CRM updates, sales analytics, and follow-up drafts in one workspace.
🚀 Just Built an AI Lead Nurturing Agent for B2B Sales Teams!
The problem: Most B2B companies lose leads because follow-ups are slow. By the time a rep reaches out, the lead has already talked to competitors.
The solution: An AI agent that handles the entire lead nurturing workflow:
✅ Scores leads as HOT/WARM/COLD automatically
✅ Sends personalized follow-ups within 60 seconds
✅ Logs everything to Google Sheets/CRM
✅ Alerts reps only for serious buyers
✅ Books meetings directly into calendars