Start small. Scale what works.
Five stages, from a first assessment to AI your own teams run. Each stage ends at a decision gate, so you only scale what has already proven itself inside your operations.
Pilot in about two weeks
Decision gate before every scale-up
Built inside your real systems
Code owned by you, no lock-in
The path
Five stages, one decision at a time
Stage 01 of 05
AI Readiness Assessment
Research-led discovery to find where AI can work in your organization, and where it should not.
01Research-led discovery with your teams
02Review of your core systems and data
03Shortlist of candidate use cases
DurationScoped per engagement
OutputA ranked shortlist of use cases with scope and quotation
Decision gateYou pick one use case and agree its success criteria
Principles
How every engagement runs
P.01Embedded, not outsourcedOur engineers work inside your teams, on your systems, alongside the people who will run the result.
P.02Proven before you scaleNothing moves to the next stage until it has passed a decision gate you agree on up front.
P.03Built into core systemsAI that connects to the ERP, PMS and POS platforms your operations already depend on.
P.04Capability stays with youTraining, playbooks and governance, so your people run and extend AI themselves.
Engagement models
Two ways to work with us
| S.01 · Forward Deployed Engineering | S.02 · AI Enablement Program | |
|---|---|---|
| Focus | AI from discovery to production inside your real systems | Lasting internal capability to run, govern and extend AI |
| How | Engineers embedded in your teams | Training, playbooks and governance |
| Stages | 02 Pilot · 03 FDE Deployment | 04 AI Enablement · 05 Run and Extend |
| Best when | You need AI built into core systems and running in production, and your team doesn't yet have the engineering capacity to do it | The system is live or your team already has engineers, and you want them to run, govern and extend AI on their own |
| Ownership | Code and deliverables owned by you | Playbooks and tooling owned by you |
This path in production
AYANA Resort Bali went through this path and now runs its back of house on a system we built and integrated with SAP, Opera and Simphony.
Read the AYANA case study →FAQ
Before you start
Every engagement starts with an AI Readiness Check, a research-led assessment of your teams, core systems and data. It ends with a shortlist of use cases where AI can work, and an honest view of where it shouldn't. The strongest candidate then goes to a pilot of about two weeks, built inside your live systems.
Every engagement starts with stage 01.
PATH A · STILL EXPLORINGAI Readiness AssessmentA research-led look at your teams, systems and data, ending in a ranked shortlist of use cases and a quotation. Scoped per engagement.AI Readiness Check →
PATH B · DEFINED SCOPERequest for proposalSend your requirements, timeline and core systems, and we'll come back with a scoped proposal.