Ortalos connects infrastructure evidence to the decisions your team must make. Start with a design assessment: map what must be proven, who owns each requirement and how to test the process in a pilot.
Discuss your assessmentKnow what must be resolved before a rack, cluster or capacity pool enters or remains in service.
The first focus of the AI Cloud Acceptance Design Assessment. Map how facilities, hardware, platform and operating evidence will support a go-live decision, then define a pilot.Explore Infrastructure AcceptanceFind out whether a tested recovery path meets your service's recovery limits.
Review backup, restore and drill evidence against agreed recovery targets. Separate a successful backup from a demonstrated return to service.Explore Recovery ReadinessCheck whether an AI workload meets the conditions for entry into a specific environment.
Review model, data, access and infrastructure evidence before admitting an AI workload. Make unmet conditions and required approvals visible.Explore Workload AdmissionGive a prospective tenant evidence that supports the statements made about your cloud service.
Organize approved infrastructure, recovery and workload records for tenant due diligence. Show what can be shared, what is current and what still needs support.Explore Tenant EvidenceA healthy server can still have an unsupported configuration. A supplier can finish installation while a required validation report is missing. Component status alone does not settle the go-live decision.
Start with an AI Cloud Acceptance Design Assessment, focused on Infrastructure Acceptance. Map one environment's requirements, evidence sources and approval process before committing to a pilot.
A firmware upgrade makes an earlier validation report insufficient. This example shows how to record the missing evidence and next action without treating an unknown as a pass.
Explore a release from evidence to decisionSynthetic example. Not a live integration, customer record or proof of readiness.
The design assessment starts with your current process and approved sample records. It ends with draft acceptance requirements and a pilot proposal, not a production go-live decision.
Choose one environment. Identify the teams, tools, manual steps and person who can approve service entry.
Review approved documents and sample reports. Define what must pass, its evidence source, responsible owner and validity period.
Define who can approve a departure, when it expires and which changes require another check.
Agree the proposed data flow, named evidence sources, security needs and measures of success.
Review the assessment pack, unresolved assumptions and fixed pilot proposal. A production pilot is a separate engagement.
Four service lines share one evidence model: agreed requirements, traceable records and named decision owners. Start with the Infrastructure Acceptance design assessment. Any pilot, production software or integration is scoped separately.
Explore the service linesWhat must be true, who is responsible and what will demonstrate it.
Where each required fact comes from and which record is authoritative.
What was observed, when it was observed and which environment it describes.
Whether the requirement passed, failed or could not be evaluated, and why.
Who approved a departure, its limits and when the approval expires.
What can proceed, what still blocks it and which changes require another review.
The first paid engagement maps your current acceptance process, reviews approved sample evidence and defines who must approve what. You receive draft requirements, a gap summary and a scoped pilot proposal—not a production approval.
The report distinguishes a requirement that failed from one that cannot yet be evaluated. Results apply only to the agreed scope and the evidence reviewed.
All applicable mandatory checks pass, the evidence is current and no blocker remains.
Required checks pass or have current, authorized exceptions with clear limits and an expiry. No blocker remains.
A mandatory check failed without an approved exception.
Required evidence or approval is missing, out of date, unusable or untrusted.
Ortalos designs the acceptance process and evidence requirements. Your team keeps production access, changes, approvals and final acceptance. Legal advice and accredited certification remain with qualified specialists.
Start with the paid AI Cloud Acceptance Design Assessment, focused on Infrastructure Acceptance. It produces draft requirements, a gap summary and a pilot proposal. Production software and work across the other service lines are scoped separately.
No. Monitoring, validation, recovery and configuration tools remain the sources of evidence. The design assessment maps those sources and identifies which records a pilot would need.
The design assessment uses customer-approved documents and sanitized sample reports, without production credentials. Any pilot access, imports or integrations must be scoped separately. Confidential data must not be sent to an external AI provider without written approval.
No. It identifies process and evidence gaps and defines a pilot. It does not develop production software, test hardware or change infrastructure. Your operators and suppliers remain responsible for operating work.
Your authorized customer representative. The design assessment is advisory and does not issue a production acceptance decision, legal opinion or certification.
The affected requirement is BLOCKED, with the missing or unusable record identified. This is different from a check that ran and failed. The design assessment defines those rules for your pilot.
Outline the environment, the approval you need and the evidence already available. Send a short enquiry, or prepare an assessment brief first if that helps.
Discuss your assessment