Find the evidence gaps that can stall an enterprise AI deal.
A structured, independent review of the claims and evidence your sales, product, security and legal teams rely on when a buyer starts asking hard questions.
Enterprise review exposes the space between what you say and what you can prove.
A product can be technically strong and still lose time because its claims are too broad, its evidence is scattered, its policy language conflicts with implementation, or no one owns the buyer-facing answer.
UniToolx is designed for B2B AI vendors that already have a product and are selling, or preparing to sell, into security-conscious organizations.
Best fit
- AI SaaS, copilots, RAG products and agentic applications
- API products that process customer data or connect to enterprise systems
- Teams entering larger enterprise, regulated or EU-facing accounts
- Companies receiving AI-specific security or procurement questionnaires
- Founders who need to know what evidence must exist before scaling enterprise sales
Seven evidence domains
1. Claims inventory
Website, sales collateral, help center, security pages, privacy statements and contractual claims.
2. Data lifecycle
Collection, processing, retention, deletion, logging, embeddings and use for training or improvement.
3. Model provenance
Model providers, version scope, fallback paths, fine-tuning, subprocessors and dependency boundaries.
4. Security controls
Identity, isolation, permissions, prompt-injection defenses, output handling, testing and incident paths.
5. Governance & changes
Ownership, review processes, model changes, exceptions, customer notification and evidence maintenance.
6. Contract consistency
Whether DPA, privacy policy, terms and product behavior make compatible representations.
7. Buyer answerability
Can your team answer the likely follow-up with specific evidence, scope and an accountable owner?
What you receive
| Deliverable | Purpose | Format |
|---|---|---|
| Executive blocker map | Shows issues most likely to cause escalation, clarification or delay. | PDF + web-ready summary |
| Claim-to-evidence matrix | Connects each material claim to source, evidence, test, result and gap. | Structured report |
| Question forecast | Lists likely buyer follow-ups generated by the evidence gaps found. | Prioritized appendix |
| Remediation plan | Concrete changes to wording, documentation, controls or evidence ownership. | Action table |
| Evidence-pack blueprint | Defines what your team should maintain for future questionnaires. | Reusable structure |
Testing is authorized, scoped and non-destructive.
Where a client provides explicit written authorization and a test environment, we can add controlled checks relevant to the represented controls. We do not run intrusive security testing against third parties or production systems without scope and permission.
Examples of controlled checks
- Prompt-injection behavior against documented boundaries
- Cross-user or cross-role retrieval checks in supplied test accounts
- Retention/deletion behavior where observable
- Model/version behavior against published claims
- Audit/logging completeness for agreed test cases
Need to know which package fits?
Send your product URL and current enterprise-sales stage. We will tell you what scope is actually useful before quoting.