Etalas · Enterprise AI · 2026
Jakarta 00:00:00 WIB · Delaware
FORWARD DEPLOYED ENGINEERING

Enterprise AI, deployed inside your operations.

Forward deployed engineers and AI enablement for large organizations with complex systems, proven in daily production at AYANA Resort Bali and Swiss-Belhotel International.

[ the deployment session ]
[ illustrative session ]Running
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REF 01 · AYANA Resort Bali · Back of houseSAP, Opera and Simphony integrated
Trusted across hospitality, healthcare, fintech, mining and government
Clients →
AYANAHospitality
Swiss-Belhotel InternationalHospitality
Angkas HealthHealthcare
BukuPayFintech
Abel Grup InternationalMining
KomdigiGovernment
The enterprise AI gap

88% of AI pilots never reach production

GAP 01The pilot worked. Nobody owned the rollout.
GAP 02The AI can't see into SAP or your PMS.
GAP 03Every change needs a ticket to the vendor.
Closing the gap

Etalas embeds engineers in your teams and builds internal capability to close the gap.

How we work →
01Shipped to production
02Built into ERP, PMS and POS
03Capability kept in-house
Solutions

Two ways we put AI to work

Forward Deployed EngineeringLead offer

Forward Deployed Engineering

Engineers embedded in your teams, taking AI from discovery to production inside your real systems.

Engineers embedded in your teams
Research-led discovery
Pilot
Decision gate
Production integration
Explore FDE →
AI Enablement ProgramLead offer

AI Enablement Program

Build lasting internal capability so your people run, govern and extend AI themselves.

Training
Playbooks
Governance
Internal AI tooling that eases operational burden
Explore AI Enablement →
Proof · Featured case study

Proven at enterprise scale

All case studies →
Flagship · Hospitality

AYANA Resort Bali's daily operations run on systems we built into SAP and OPERA

SAPOPERA PMSSIMPHONY POS
2Back-of-house systems in production
3Core systems integrated
DailyUse across procurement, kitchens and housekeeping
How we work

Start small. Scale what works.

How we work →
  1. STEP 01AI Readiness AssessmentOutput: A ranked shortlist of use cases and a quote
  2. STEP 02AI PilotOutput: A working pilot, tested with real users
  3. STEP 03FDE DeploymentOutput: AI running daily inside your core systems
  4. STEP 04AI Enablement ProgramOutput: Your team trained to run and govern it
  5. STEP 05Run and ExtendOutput: New use cases, built by your own team
Why Etalas

What makes our AI work in production

Six reasons operations teams trust us with their core systems.

P.01Engineers inside your teamsWe work on your systems, alongside the people who will run the result.
P.02Built for complex operationsMultiple sites, legacy platforms and strict data rules are where we do our best work.
P.03Your team runs it after usTraining, playbooks and governance, so your people run and extend AI on their own, with no lock-in.
P.04Proven before you scaleA pilot in about two weeks, and a decision gate before every bigger commitment.
P.05Enterprise-grade securityData handling and access control built in, with legal entities in Indonesia and the US.
P.06Proven across sectorsLive in hospitality with AYANA and Swiss-Belhotel, and in healthcare with Angkas Health.
Industries

Sector agnostic, enterprise proven

Industries →
Trust and governance · for IT and procurement
Security and data handling →
Code and deliverables owned by you, no lock-in
Deployment options on your infrastructure
Data handling and access control
Two legal entities in Indonesia and the US
FAQ

Questions enterprise teams ask first

How we work →

Forward Deployed Engineering puts our engineers inside your organization, working with your teams on your real systems. They don't hand over a strategy deck. They build AI into the tools your people already use and stay until it's running in daily operations. It's how AYANA Resort Bali got from first idea to a back-of-house system in production.

ETALAS LABSBuilding a new product? Etalas Labs ships startup MVPs.Visit Labs →

Find out where AI can work in your organization.

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.