A working AI prototype is not automatically ready for enterprise use. Before employees rely on it, verify that people sign in through the right identity system, can access only the records and actions they are authorized to use, and leave an audit trail administrators can investigate. Five firms—GeekyAnts, Thoughtworks, EPAM, IBM Consulting, and Accenture—are worth evaluating for this work, but the shortlist is not a tested ranking.
What must change before an AI prototype is enterprise-ready?
A dashboard that works in a demo proves little about how the application behaves when a user’s access changes, when someone calls an endpoint directly, or when a request targets another customer’s data. Enterprise readiness requires deliberate identity, authorization, and audit design, followed by tests of both allowed and denied actions.
Keep three questions separate:
- Identity: Can an employee sign in through the organization’s identity provider, and can the application reliably connect that identity to an account and organization membership?
- Authorization: What may that signed-in person do, to which resource, in which tenant or workspace, and under what conditions?
- Auditability: Can an administrator reconstruct who performed an important action, what changed, when it happened, and whether it succeeded?
How should you evaluate SSO and authorization?
SSO verifies identity; it does not grant every permission
Ask how the application integrates with the organization’s identity provider and handles account linking, organization membership, session lifetime, and deprovisioning. A successful sign-in establishes identity; it does not prove the user is permitted to access a particular record or perform a particular operation.
Test authorization at the server boundary
A role label such as “admin,” “editor,” or “viewer” is not a complete access model. Define which actors may perform which operations on which resources, within which tenant or workspace. Enforce those rules on every protected server-side operation—not only by hiding buttons or pages in the frontend.
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Include administrative endpoints, exports, and background jobs in the review. Request an authorization matrix and tests that demonstrate both permitted and denied cases. A viewer who cannot see an edit button must still be unable to edit by calling the endpoint directly.
Use negative-access acceptance tests
Ask prospective providers to agree on test scenarios before implementation. These are proposed acceptance tests, not reported results:
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- A user in one tenant requests a document belonging to another tenant; the request is denied.
- A viewer makes a direct request to an editing endpoint; the server rejects it.
- A member’s role changes or access is revoked; the application applies the change according to a defined lifecycle and session policy.
- An administrator changes a permission; the action can later be traced in the audit trail.
What should an audit log record?
Debugging output and an audit trail serve different purposes. For important security and administrative events, logs should carry enough context to reconstruct what happened. A permission-change event might include an event type, timestamp, actor, tenant, target, previous and new roles, outcome, and request identifier. Treat that as a starting point, not a complete specification for every application.
Decide explicitly how long audit records are retained, who may read them, how alteration is detected or prevented, and what the application does if recording an event fails. Never put passwords or access tokens in logs. The logging design should make its own failure behavior clear rather than silently implying that an action was recorded when it was not.
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Which five companies should you evaluate?
The following firms appear in an editorial shortlist based on published service relevance. The order is not a ranking, and the available information does not establish independently tested outcomes, current proposals, or a particular team’s suitability.
| Company | Why consider it | What to ask for |
|---|---|---|
| GeekyAnts | The shortlist connects its AI product engineering practice with prototype-to-production work, access-model design, audit trails, and expert review. | Request an authorization matrix, identity-integration design, sample audit events, and negative-access tests. |
| Thoughtworks | The shortlist describes product exploration and engineering, including AI-assisted prototyping. | Ask how the proposed team will own architecture, security review, automated tests, and knowledge transfer through production hardening. |
| EPAM | The shortlist describes platform and product development. | Ask how identity, authorization, and audit requirements will be coordinated across services. Request named ownership and integration tests for permission boundaries. |
| IBM Consulting | The shortlist describes identity and access management services covering identity security, hybrid environments, and governance workflows. | Clarify where centralized identity services end and application-level authorization begins, and who owns lifecycle behavior in the product. |
| Accenture | The shortlist describes application services across development, modernization, management, and maintenance. | Ask which named team owns the application’s security controls and how it will demonstrate acceptance evidence. |
Descriptions here identify reasons to evaluate each provider, not guarantees about its current services or a proposed engagement. Verify the current team, service geography, scope, price, and relevant case-study evidence directly with each firm.
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How can you compare proposals fairly?
Give every provider the same scenarios and ask for the same artifacts. Compare the proposals against these criteria:
- Identity lifecycle: Does the scope cover account linking, membership, session lifetime, role changes, and deprovisioning?
- Access boundaries: Are permissions defined at the resource and tenant level, including administrative functions, exports, and background jobs?
- Audit quality: Can the proposed events reconstruct important actions, and are retention, access, integrity, and logging failures addressed?
- Evidence: Does the team propose negative and integration tests, including a cross-tenant request, revoked membership, direct call to a restricted endpoint, and traceable administrative change?
- Operational ownership: Who owns security controls, logging, and failure handling after launch?
- Delivery accountability: Are responsibilities assigned to named roles, with a clear plan for knowledge transfer?
Ask the team to demonstrate acceptance evidence, not just describe an approach. A credible proposal should make it possible to tell what will be built, who is accountable, how a failure will be handled, and how the organization can verify the result.
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