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Hospitality · Multi-brand group

The Big Table Group

Swapping billable hours for XMS AI, and more than quadrupling monthly output for a fixed, predictable cost.

  • XMS AI · trained on their code
  • 22 → 90 tickets a month
  • 4× output · same fixed cost
  • One fixed fee · no invoicing cycles
The challenge

When every hour is billed, change is slow.

On a time and materials model, every hour is billed. Each piece of work requires scoping, estimating, sign-off and invoicing, a cycle that repeats and creates natural gaps where technical debt accumulates. Issues raised could take months to reach resolution.

For TBT, this meant meaningful platform improvements were very slow, and the pace of change struggled to keep up with where the business wanted to go.

Our approach

A subscription, trained on their own platform.

We introduced XMS AI, a subscription model which boosts monthly output. Where generic AI tools start from zero with no knowledge of a platform’s history or architecture, XMS AI is trained on TBT’s own codebase: their integrations, infrastructure, and the reasoning behind past decisions. That context means work starts accurately from day one and improves in precision as the model’s knowledge deepens.

For one fixed monthly fee, all development, fixes, improvements and delivery happen continuously, no rate cards, minimal scoping overheads, no invoicing cycles. Each month begins with a shared roadmap session: Three Rocks bring proactive recommendations and engineering expertise; TBT bring their priorities and the direction they’re heading. The work then moves, simply and efficiently.

The incentive is now aligned. Faster delivery costs the same, or less, as slower. The goal is outcomes, not hours.

The outcome

More than four times the output, for a predictable cost.

TBT now have a clear, growing roadmap with a strong pipeline of improvements actively underway. The results are measurable: where 22 tickets were completed in a typical month under time and materials, the team is now delivering 90, more than four times the output for a fixed, predictable cost.

And unlike a one-off cost saving, platform investment compounds. XMS AI’s knowledge of TBT’s platform deepens month on month, meaning every cycle is faster and more precise than the last. Rather than asking how to reduce the budget, TBT can now ask what they can build that they previously couldn’t afford to.

90
Tickets a month, up from 22 under time & material
The monthly output, for a fixed cost
Compounds
Knowledge deepens month on month