Wire agents into live ops with real decision memory
Shipping an agent is easy. Making it useful on day one is the hard part. We wire new agents into your PMS, CRM and booking stack, connect them to the Context Repo, and stand up outcome tracking so every decision starts compounding immediately.
Agents plug into PMS, CRM, booking engines, channel managers and revenue management systems through the Context Repo.
From go-live to Decision Moat
Agent projects do not end at go-live they begin there. lemongrass.dev wires agents into the Decision Execution Layer, tracks outcomes through the Context Repo, and tunes guardrails with revenue, CX and ops teams so every decision contributes to the Decision Moat.
Live ops wiring that actually lands
Standing an agent up in production is not a training session. We wire it into the live decision loops your business already runs on pricing, upsell, recovery with clear ownership, escalation paths and outcome metrics from day one.
This includes:
Align revenue, CX and ops on the decision loop
Map escalation paths for every agent
Remove workflow friction at the hand-off point
Publish decision traces teams can actually read
Assign owners for outcomes, not just agents
Agents that learn inside your org
Agents only get better if outcomes flow back. We close the loop between live ops and the Context Repo so every pricing call, upsell and recovery feeds the next decision.
Build decision-layer expertise
We transfer the Decision Execution Layer model to internal champions how to read Context Objects, tune guardrails, review decision traces and extend the Context Repo for new agents without external help.
On-call tuning during launch
Dedicated engineers on-call during the first weeks of live traffic to tune guardrails, adjust escalation thresholds and keep the outcome loop clean.
Transparency for the humans in the loop
Every decision is logged with its inputs, policy path and outcome. Teams can see why an agent priced a room lower or escalated a complaint trust comes from traces, not slides.
Outcome tracking that builds the moat
Every booking, upsell and service recovery is a data point. We define the outcome metrics that matter, track them through the Context Repo, and tune agents and guardrails so the Decision Moat keeps widening.
This includes:
Outcome metrics tied to margin and retention
Track decision volume, escalation rate, outcome lift
Report Decision Moat growth to the exec team
Feed outcome signals back into the Context Repo
Keep guardrails, agents and teams in lockstep
Questions & Answers
Short answers on how new agents actually land inside live ops without breaking anything.
Each team gets a decision loop that matches their daily work. Revenue gets pricing. Reservations get upsell. CX gets recovery. The Context Repo stays shared so outcomes from one loop make the next agent smarter.
Agents go live behind guardrails first shadow mode, then narrow scope, then full traffic. Every decision is logged and reversible. Nothing reaches Systems of Record until the guardrails and escalation thresholds are tuned against real traffic.
We stay embedded for the first weeks of live traffic, then transfer ownership to internal champions. The goal is not perpetual consulting it is giving your team the Decision Execution Layer and the skills to extend it themselves.
Outcome metrics, not adoption metrics. Margin per booking, upsell conversion lift, escalation accuracy, service-recovery cost. If those numbers are not moving, the agent is not winning yet.
With traces, not slogans. Every agent decision is inspectable inputs, policy path, outcome. Sceptical teams usually turn into the best tuners once they can see exactly what the agent is doing and override it when they disagree.
Onboard your first agent into live ops
Point us at one decision loop pricing, upsell or recovery. We will wire the agent, tune the guardrails, and stand up the outcome tracking that grows the Decision Moat.