Think.
How we deliver
Fast delivery works better when ownership, risk and recovery are considered early.
Etashi applies a lightweight, ITIL-aligned operating rhythm to AI and data work: discover the value, design the service, control the change, make production supportable and improve it using evidence.
Service lifecycle
ITIL provides useful language for operating technology responsibly. Etashi uses the relevant practices proportionately rather than reproducing heavyweight enterprise process.
Discover & assess
Define the decision or workflow being improved, the authoritative data, intended users, unacceptable outcomes and what would make the service business-critical.
Service design
Agree application, infrastructure and business responsibilities; choose hosting, access, retention, recovery and support appropriate to the service.
Build & transition
Use source control, review, representative tests, security checks, release notes, deployment instructions and a rollback path before operational use.
Operate & support
Route monitoring, incidents and service requests clearly. Preserve evidence, communicate impact, restore service and separate symptoms from recurring problems.
Review & improve
Review usage, quality, incidents, costs, changes and emerging risks. Prioritise a visible improvement backlog instead of allowing technical debt to remain implicit.
Production-readiness gate
Experiments can be fast and deliberately temporary. Before users or business processes depend on them, the operating requirements become explicit.
Business owner, technical owner, users, data authority and supplier responsibilities are named.
Access, secrets, data lifecycle, dependencies and relevant AI-specific risks are reviewed.
Representative behaviour, failure cases, RAG quality and rollback are checked before release.
Monitoring, incident routes, runbooks, backup ownership and support boundaries are agreed.
Source, configuration, documentation, data export and replacement-provider handover are viable.
Support & incidents
Etashi is a specialist, founder-led delivery company—not a 24×7 security operations centre. Application support is agreed explicitly and can integrate with the client’s internal team or incumbent managed-service provider.
Monitoring, users or security tooling identify an event with time and impact.
Infrastructure, security, application and business owners receive the right escalation.
Use a workaround, rollback, recovery procedure or corrective application release.
Capture cause, decisions and follow-up improvements in the service backlog.
Engagement models
Test value quickly with limited users, non-critical data and an explicit expiry or review date.
Move through the readiness gate with agreed ownership, tests, monitoring, support and handover.
Etashi owns the specialist application layer while established partners provide broader operations.
Assurance evidence
The right evidence depends on the service, but the objective is consistent: demonstrate how the control works rather than merely saying that it exists.
Reference practices
Etashi’s delivery approach is informed by relevant ITIL 4 practices. Where useful, security and AI-risk conversations can also reference NIST CSF 2.0, NIST AI RMF, OWASP guidance for LLM applications and business-continuity concepts from ISO 22301.
Start well