In 2019, Gotag started out doing one thing: planning corporate offsites for Delhi-NCR companies. No funding, no outside capital — just a small team booking resorts, negotiating with vendors, and chasing down quotes over email and phone calls. Six years, 50+ brands and 100+ events later, that same team built Gotag AI, a conversational agent that prices a corporate offsite in minutes. This is the Gotag AI origin story — not a pitch deck narrative, but what actually happened along the way.
The problem we lived inside for six years
Every corporate offsite we delivered since 2019 started the same way: an HR manager or founder would send us a brief — group size, rough dates, a budget range — and then wait. We’d call five or six resorts, compare rates that somehow never matched the website, negotiate line by line, and come back a week later with a proposal. It worked. Clients kept coming back. But it was slow, and it was slow for a reason that had nothing to do with effort — it was slow because offsite pricing simply wasn’t built to be looked up. It had to be assembled, every single time, from scratch.
We noticed something else too: the same resort would quote a different price depending on who was asking. A first-time caller got one number. A repeat agency with volume got another. There was no single “right” price — just whatever came back from that week’s round of calls. For an industry that moves real corporate budgets, that opacity never sat right with us.
What six years of closed deals actually taught us
Here’s the part of the Gotag AI origin story that matters most: we weren’t sitting on a theory. We were sitting on data. Every proposal we’d ever sent, every negotiated rate, every closed deal across 100+ events had been logged somewhere — vendor by vendor, destination by destination, group size by group size. It took us a while to realize what we actually had: a pricing dataset nobody else in this industry had built, because nobody else had been doing this long enough, or carefully enough, to build it.
Once we saw it that way, the question changed. It stopped being “how do we plan offsites faster” and became “why are we still doing this by hand when we already know the answer most of the time.” That’s the moment the idea for Gotag AI actually started.
From spreadsheets to a pricing engine
We didn’t set out to build an AI company. We set out to stop re-solving the same pricing puzzle every single week. The early version of what became Gotag AI was closer to an internal tool — a way for our own team to pull up a rough number instantly instead of making five phone calls. It worked well enough internally that the obvious next question was: why keep this behind our own desk?
That internal tool is what grew into Gotag AI — a conversational agent that takes a brief (group size, budget, dates, destination preference) the same way our team always had, and returns a priced, bookable proposal in minutes instead of the week it used to take. It isn’t a generic travel chatbot wrapped around a booking form. It’s built on real, closed-deal transaction pricing from corporate offsites and retreats we’ve actually delivered — not scraped rates, not estimates. And every new booking that flows through it feeds back into the engine, so it keeps getting sharper rather than staying frozen at launch.
Why we stayed self-funded through all of it
Gotag has never taken outside capital or debt, through the offsite business or through building Gotag AI. That wasn’t a statement — it was just how the company grew, one delivered event at a time. But it did shape how we built the product: slowly, from real client work, rather than from a roadmap written to impress anyone else. If a feature didn’t help us close an actual deal faster or more fairly, it didn’t make the cut.
The moment the idea for Gotag AI actually clicked
There wasn’t a single dramatic turning point. It was more like a slow realization, repeated often enough to stop ignoring. We’d get a brief from a company we’d worked with before, and before we even opened our notes, someone on the team could already guess the rough number within a few hundred rupees per person. That instinct wasn’t magic — it was pattern recognition built from hundreds of closed deals. The gap between what we already knew and what we were still making clients wait a week to find out became impossible to not notice. That gap is the real Gotag AI origin story: not a eureka moment, but a slow-building case for why the old process no longer made sense for a team that already had the answer sitting in its own records.
Building it ourselves wasn’t the easy path. None of us set out to be an engineering team — we were an offsite planning company. But hiring that capability out would have meant handing someone outside the business the one thing that actually made our pricing worth trusting: years of real, closed-deal data from events we’d delivered ourselves. So we learned to build it. Slowly, through plenty of wrong turns, but with the one advantage that mattered — we understood the problem better than anyone we could have hired to solve it for us.
Where Gotag AI fits in now
Corporate travel booking went instant years ago. Expense management went instant. Corporate offsite planning hadn’t — and in a lot of ways, it’s still catching up. Gotag AI is our attempt to bring that same instant, transparent model to a category that’s been stuck running on email threads and phone tag for as long as we’ve been in it. We think the specificity is what matters here: this isn’t a chatbot bolted onto a generic travel search. It’s a pricing engine built from six years of this exact work, for this exact problem, by the same team that was doing the work by hand.
Gotag AI is launching soon, and we’re opening early access before it rolls out more broadly. If you’re an HR manager, founder, or admin lead who’s tired of the week-long quote cycle, this is built for exactly that moment in your planning process.
Get early access to Gotag AI
The Gotag AI origin story is really a simple one: six years of planning offsites the hard way taught us exactly what a better way should look like. If you want to see it in action before it opens to everyone, join early access at ai.gotag.in.
And if you’d rather have our team plan your next offsite the way we always have — hands-on, from brief to execution — get in touch for a free proposal, typically back in your inbox within 4 hours.