Build the agents that run on your Decision Layer
Your stack already has a PMS, a CRM, a revenue management system and a channel manager. We build the agents that sit on top vertical for each domain, custom for each workflow, general for research and ops all reading and writing to the same Context Object so every decision compounds.
Our agents plug into PMS, CRM, booking engines, channel managers and revenue management systems through a shared Context Repo.
Three agent tiers, one Context Object
We build agents in three tiers vertical, custom, general that all share the same Context Object. Engineers, designers and domain leads work side by side so every agent makes decisions grounded in real state, governed by real policy, and measured by real outcomes.
Vertical agents trained on your domain
Customer and employee agents built for a specific vertical travel first, then hospitality, insurance and marketing. Each one reads live state from your Systems of Record and reasons over a Context Repo with guardrails baked in.
This includes:
Design the Context Object and Repo schema
Integrate PMS, CRM and booking stacks
Ship the first vertical agent in weeks
Voice, chat and dashboard interfaces
Guardrails and audit trail by default
Custom agents for the decisions that matter
We build custom agents for the three near-term wins from the travel playbook: margin-aware pricing, hyper-personalised upselling, and service recovery that escalates intelligently instead of mass-apologising.
Margin-aware pricing agents
Pricing agents that learn when discounting wins revenue and when it erodes margin. Every decision and outcome writes back to the Context Repo so tomorrow's price is smarter than today's.
Service recovery agents with escalation
High-risk negative reviews and at-risk bookings escalate to managers. Low-impact issues are handled automatically, brand-consistent, with the full decision trail written to the Context Repo.
Hyper-personalised upsell agents
Not just what to upsell upgrades, transfers, insurance but when to offer it, using real-time booking state, guest history and the outcomes of every prior upsell decision.
Full-stack agent delivery
We do not hand over a notebook and a Slack channel. Full delivery: Context Object schema, agent logic, guardrails, interfaces and integrations into PMS, CRM, booking engines and revenue management systems.
This includes:
Guest, booking, support and pricing agents
Employee agents for revenue, ops and CX
Voice and chat interfaces over the same layer
Models swap; Context Object stays stable
Brand-consistent decisions at enterprise scale
Questions & Answers
Short answers on how agents actually get built, shipped and governed on the Decision Execution Layer.
Reliability comes from the layer, not the model. Agents read from a governed Context Repo and write every decision and outcome back. Guardrails intercept before anything reaches production systems, and traces are auditable end to end.
No. Those stay as your Systems of Record. The Decision Execution Layer sits above them and our agents sit above that. Nothing gets ripped out existing stacks get re-bundled around the Context Object.
Vertical agents are domain-specific a booking agent, a pricing agent, a guest-services agent. Custom agents are workflow-specific to your business. General agents handle research and ops across Systems of Knowledge. All three pull from the same Context Repo.
Yes. Agents only pay off if decision memory compounds. We keep iterating on the Context Object schema, guardrails and outcome metrics so the Decision Moat keeps widening.
A first vertical agent usually pricing, upsell or recovery runs in 8–12 weeks once the Context Object is in place. The second and third agents arrive faster because they share the same layer.
Pick the first agent we build for you
Margin-aware pricing, hyper-personalised upsell, or service recovery tell us the decision you want to compound and we will build the agent that owns it.