Enterprise teams want agents that watch the market every day. Then they see the token bill. Glean and TinyFish on how to run AI at scale without the bill running you.
A retail pricing team gets competitor prices once a week. The business wants them every day, store by store, before the buyers meet. An agent can do that job. But run it across thousands of products and hundreds of stores, every morning, and a new question comes up fast: what does this cost us?
It’s the question we hear most in enterprise AI deals right now. Buyers want agents on the job. They don’t want a token bill in the millions to get there.
On Nov 10, Daisy Hoang, Chief Revenue Officer at TinyFish, and Zubin Irani, VP of Partnerships at Glean, walk through one real retail job from start to finish: where the data comes from, where it lands, and what it costs to run every day. Florence Le, Head of Marketing at TinyFish, moderates. She has promised to ask what buyers actually ask (and not let anyone hide behind a slide).
In most agent setups, most tokens go to collecting data, not to the thinking. Hear how enterprise teams bring that cost down, and the numbers they take to finance.
A consumer goods brand changes its label. Is every retailer showing the new one? Watch an agent check each retailer’s live site, land the gaps in Glean, and draft the fix for the right account owner.
Life sciences teams that track clinical trials and rule changes. Sales teams that walk into every account review knowing what changed since the last call. Hear which industries Daisy and Zubin see moving first.
Want to test this on a job of your own? Book a joint assessment with Daisy, Zubin and their teams after the session. It’s a working conversation, not a sales call.
An agent with only your company’s knowledge can answer a question. It can’t finish the job when the job needs the outside world: a competitor’s shelf price in one ZIP code, a new notice from a regulator, a leadership change at your biggest account. Glean brings the memory. TinyFish brings the reach, and hands what it finds back to Glean as knowledge your teams can trust. As Zubin puts it, “The true measure of value in AI is when it can actually complete the task.”
SpeakerChief Revenue Officer, TinyFish
Daisy runs sales and customer success at TinyFish. That puts her in the room when an enterprise decides if an agent is ready for real work, and what it will cost to run. Before TinyFish, she built the revenue engine at Katalon.
SpeakerVP of Partnerships, Glean
Zubin leads Glean’s global partner ecosystem, across cloud providers, systems integrators, consulting firms and technology partners. He talks often about the next step for enterprise AI: moving from finding the right information to acting on it.
ModeratorHead of Marketing, TinyFish
Florence has spent her career taking technology to enterprise buyers, at FPT Software, Katalon and now TinyFish. On Nov 10 her job is simple: ask what buyers really want to know, and keep both speakers honest.
Register with your work email. Everyone who registers gets the replay, and a chance to book a joint assessment with both teams.
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