Scope a sovereign AI feasibility assessment

Scope a sovereign AI feasibility assessment around one decision

Your next AI investment may depend on whether useful work can happen inside a tightly controlled environment. We recommend starting a sovereign AI feasibility assessment with one decision: does a specific document task justify the cost and operating responsibility of an isolated deployment?

On 20 October 2026, Google Cloud announced new Google Distributed Cloud capabilities, including enterprise search and general availability of Gemini 3.5 Flash within its air-gapped offering. An air-gapped environment operates separately from public networks. This creates a timely option to evaluate for sensitive enterprise work. Google Cloud announcement

The enterprise search feature is available in preview, so we would scope an evaluation before making a production commitment. Google describes a managed search experience running inside the customer’s physical perimeter, without connections to the public internet or Google Cloud’s global infrastructure. Enterprise search announcement

For MENA sponsors, the practical question is whether this approach fits your approved data boundaries, workload and budget. We would use the following decision tool before requesting a deployment proposal.

Establish why isolation is necessary

Ask your business owner, security lead and legal adviser to produce a short requirement statement. It should identify the information involved, the permitted processing location, who may access it and the evidence needed to approve the arrangement.

For UAE projects, ask counsel which framework applies, including the federal Personal Data Protection Law, Federal Decree-Law No. 45 of 2021. Identify any additional sector requirements separately. US International Trade Administration overview

Where relevant, include the DIFC Data Protection Law No. 5 of 2020 and accompanying regulations, or the ADGM Data Protection Regulations 2021. Ask counsel to assess the current applicable instruments against your proposed data flows. DIFC official guidance, ADGM announcement

Give the assessment a named jurisdiction and business entity. A regional programme should repeat this exercise for each participating entity before sharing information across boundaries.

Select a task with a measurable finish

We would start with a bounded task such as preparing a cited briefing from approved internal policies. Define the user, source collection and final output before selecting infrastructure.

Google says the search experience can summarize, compare and translate uploaded material, return source citations and preserve conversations. It supports multiple document and media formats, with limits of 100 MB per file and 500 MB per chat. These limits should shape the sample you test. Enterprise search capabilities

Your air-gapped AI pilot design should answer five questions:

• Which recurring decision will the output support?
• Which approved documents contain the answer, and who maintains them?
• How long does a satisfactory result take today, including review?
• What error could materially harm the business?
• Who accepts or rejects the finished output?

Include Arabic and English material if your intended workflow uses both. Have subject specialists assess terminology, meaning and source selection separately for each language.

Agree the scorecard before the demonstration

We suggest a controlled test using 50 representative questions and 10 intended users. These are proposed starting sizes; adjust them to the task’s risk and variety. Include straightforward questions, conflicting documents, obsolete policies and questions the collection cannot answer.

Test	Proposed acceptance criterion	Evidence to retain
Answer quality	At least 90% pass a business-owner rubric; no critical factual errors	Scored answers and reviewer comments
Source support	Every material factual statement has a supporting citation	Answer-to-source checks
Missing information	All deliberately unanswerable cases identify insufficient evidence	Results for the challenge set
Access boundaries	No unauthorized disclosure in the agreed test set	Security team’s test record
Workflow benefit	Median completion time, including review, improves by an agreed threshold	Comparable baseline and pilot timings
Ownership	Every ongoing task has an accountable owner	Operating responsibility schedule

A citation needs inspection: reviewers should confirm that the cited passage supports the answer and uses the correct document version. Record rework and abandoned attempts alongside successful answers.

Keep the pilot focused on advice that a person reviews. Any later ability to change business records should receive its own scope, controls and acceptance tests.

Price the operating model

Ask competing proposals to use the same workload assumptions: users, questions per day, document volume, refresh frequency, expected peaks and service hours. This makes enterprise AI procurement easier to compare.

We would build the first-year estimate from five components:

1. Platform, hardware and supplier support commitments.
2. Site preparation, capacity and resilience arrangements.
3. Document preparation and integration with approved sources.
4. Security review, business testing and user training.
5. Ongoing administration, updates, content maintenance and human review.

Request a base case and a lower-adoption case. Fixed capacity can change the economics substantially when usage falls below expectations.

Use a simple measure: cost per accepted briefing = allocated platform and operating costs, plus preparation and review labour, divided by briefings that pass the quality rubric. Compare this with the current process. Keep potential benefits, such as quicker decisions, separate until you can measure them.

Your AI implementation business case should also distinguish hours released from cash savings. Identify the work people would do with that capacity and who is responsible for realizing the benefit.

Make the next funding decision explicit

Before releasing implementation funding, request written confirmation of country eligibility, delivery lead times, support access, deployment responsibilities and contractual service terms. Ask how document updates, backups, deletion, incident investigation and eventual exit would work within your approved boundary.

We would fund the next stage only when the pilot passes its quality and access tests, the operating team accepts responsibility and the lower-adoption cost case remains affordable. A failed criterion should lead to a specific remediation task or a stop decision.

Through DeepConsult, we assess strategic fit and technical feasibility against your business objectives. Our process starts with understanding your infrastructure, identifying measurable impact and assessing readiness, then defining a roadmap and success metrics.

Bring one candidate workflow, its data boundary and your investment decision to a conversation with us. We can discuss the scope of an assessment and the evidence you need before committing further budget.

Sources

1. Google Cloud: Enabling the next era of sovereign AI (2026-10-20)
2. Managed RAG search inside the sovereign perimeter: Gemini on GDC enterprise search (2026-10-20)
3. United Arab Emirates Allows Cross Border Data Flows of Personal Data (2024-01-22)
4. Overview of DIFC Data Protection Law and Regulations; document approved 29 September 2022 (2022-09-29)
5. ADGM enacts its new Data Protection Regulations 2021 (2021-02-14)
6. DeepSolve Our Divisions; undated, accessed 22 October 2026 (2026-10-22)
7. DeepSolve Process and Tech Stack; undated, accessed 22 October 2026 (2026-10-22)
8. DeepSolve homepage and contact form; undated, accessed 22 October 2026 (2026-10-22)

Prepared with AI assistance. DeepSolve is responsible for the published content. Illustrations are conceptual.