Off-the-shelf AI setup: 1–2 weeks vs. months/years
Integrating an off-the-shelf AI system like Zendesk can be done in one to two weeks, whereas building from scratch can take months to years.
Snapshot · The MongoDB Podcast
Don't Build Your Own AI (Unless You Have To)
Explore episode
Mar 6, 2026
Where this was said
The New Rules of Customer Expectations
At 16:15 · chapter starts 14:55
The velocity of change in customer expectations is the theme of this segment. Akshaya identifies three seismic shifts: immediacy — SLAs are now measured in seconds, not hours; context — customers expect the service system to already know their history and what has been tried; and human-centricity — AI interactions must feel human, even when they aren't. The paradox he surfaces is striking: a 2025 survey shows 90% of companies say AI is central to customer loyalty, but the same data reveals that loyalty drops off a cliff when customers discover they're speaking to a bot. [1] — Akshaya Murthy "90% of companies say AI central to loyalty: A 2025 survey found 90% of companies say AI is central to customer loyalty, yet loyalty drops s…" 12:51 The implication for product designers is profound: the experience has to be seamlessly intelligent and warmly human at the same time. Customers, Akshaya concludes, simply don't care how it works — they want resolution, personalisation, and friction-free experience, and AI delivered at scale is the only mechanism that can meet that bar.
Buy Before You Build: The Case for AI Integration
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.
Integration vs Build: The 4 Decision Factors
Time to market, total cost of ownership, talent availability, and security compliance are the four axes that should drive your build-vs-buy decision. Right now, on all four, integration usually wins.
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