Agents without a decision layer are just fast wrong answers
Every enterprise is now drowning in AI agents bookings, pricing, support, marketing and most of them are making decisions in silos, with no shared context and no memory of what worked. The output looks fluent. The decisions underneath are often wrong, and nobody can tell you why.
We built lemongrass.dev to fix that starting with travel.
A Decision Execution Layer for agentified SaaS
lemongrass.dev exists to turn Systems of Record into Systems of Decision. We bring together engineers, data scientists, change management specialists and product leaders who build the Decision Execution Layer that sits between your core business systems and your user-facing agents. Every booking, pricing call and upsell becomes a Context Object entities, state, decisions, outcomes feeding a compounding loop competitors cannot replicate.
Our head office is in Singapore, and our team operates across Sydney, Dubai and Stockholm close to the travel, hospitality and enterprise operators we agentify with.
How we agentify an enterprise
Our method is the same three steps we use on the homepage Map, Build, Compound. It is how scattered agents become a unified decision layer with memory, guardrails and a moat.
Map
We map your Systems of Record PMS, CRM, booking engines, revenue management and your Systems of Knowledge Notion, Slack, Confluence. Then we find the decision points where unified context and decision memory will unlock real margin, revenue and retention. No agent gets built until the decision is worth making.
Build
We build the Decision Execution Layer: data, governance and knowledge graphs that give your agents a reasoning layer with built-in guardrails. Every interaction is stored as a Context Object entities, state, decisions, outcomes so vertical, custom and general agents all pull from the same Context Repo instead of guessing in silos.
Compound
Every booking, upsell, reschedule and service recovery feeds outcomes back into the layer. What worked improves, what failed gets corrected, and the organisation builds a proprietary Decision Moat a system that understands why something worked, not just that it did.
The Decision Moat
Map, Build, Compound only matters if the output is defensible. We design the Decision Execution Layer so every agent interaction contributes to a compounding feedback loop the moat that turns a System of Record into a System of Decision competitors cannot copy.
The team behind the layer
Founders and operators who have scaled AI-first products, run billion-decision pipelines and shipped enterprise systems across India, South East Asia, Middle East, USA, Europe. We built lemongrass.dev because we have seen first-hand what goes wrong when agents run without a decision layer underneath.