Customer expectations have shifted from 'soon' to 'now'. They want instant resolution, full context of their history, and service that feels human — even if it's AI. Fail any one of those three and you've already lost them.
Podbit · The MongoDB Podcast
Customer expectations have shifted from 'soon' to 'now'. They want instant resolution, full context of their history, and service that feels human — even if it's AI. Fail any one of those three and you've already lost them.
Where this was said
At 11:39 · chapter starts 11:37
Akshaya walks through the three shifts that define Zendesk's AI-first redesign. The first is intelligent triage: what once required human review now happens in seconds, getting customers materially closer to resolution faster. The second is the move from macros — rigid, rule-based automations — to Copilots that provide dynamic, context-aware guidance to agents in real time. The third is workforce management, where load balancing and staffing optimisation become fully automated rather than siloed in a contact centre operation. The results speak loudly: in extreme cases, early adopters have cut email handle time by 92% and slashed customer question response time by 74%. [1] — Akshaya Murthy "92% email handle time reduction: Early Zendesk AI adopters cut email handle time by 92% using intelligent triage and routing powered by AI." 09:56 The through-line, Akshaya stresses, is a fundamental reframe: Zendesk has moved from building better ticketing software to delivering measurable business outcomes for customers.
A 2025 survey found 90% of companies say AI is central to customer loyalty, yet loyalty drops sharply when customers discover they are talking to a bot.
Building AI from scratch is losing the argument in most enterprises. Integration wins on speed-to-market, TCO, and talent access — and you'd need months to years plus massive CapEx to match what you can get up and running in two weeks.
Sam built Algrow, a SaaS for finding viral content formats, with zero coding experience using ChatGPT and Cursor. Six months later: 10,000 users, $14K/month in revenue.
Sam's first MVP threw an application error on its very first user — and he shipped it anyway. The core idea worked, and that was enough to validate the product and keep users coming back.
Sam joined Discord voice chats, muted himself, and silently screen-shared his product. Users in the chat started tagging him asking what the tool was. No pitch needed — curiosity did the selling.
Most founders post links in Discord and immediately get banned for self-promotion. Sam's approach was the opposite: build rapport, help people with the tool, let word of mouth do the work.
Find where your ICP lives. Listen before building. Validate with DMs and Loom recordings. Build in public with users inside your own Discord server. Turn early adopters into advocates with free access.
Instead of fearing the self-promo ban in large Discord servers, create your own private server for your product. You funnel in ideal customers and build a relationship that email can't replicate.
Algrow helps creators find and replicate viral video formats, starting at $25/month. It analyzes subscriber counts, average views, and trending formats — and can even generate the videos with AI.
After weeks of Sam silently screen-sharing in a Discord server, the server owner — unprompted — made a full YouTube promotional video about Algrow. Sam paid nothing and asked for nothing.
Producer Gus admits Discord never crossed his mind as a customer acquisition channel. Pat connects the insight to a broader lesson: match your distribution channel to where your actual customers live.
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