A procurement committee needs to evaluate general-purpose assistants and APIs for controlled internal document processing. Here is a scenario-based comparison using documentation checked on 2026-10-25, not an independently tested vendor ranking. The region, plan, exact model version and price are unspecified unless a first-party document establishes them; unmatched performance claims stay unknown.
Audience: enterprise procurement committees. Evidence checked: 2026-10-25. Editorial status: ready. Comparison scope: named scenario; region, plan and model/version parity require separate confirmation.
Define the regulated workflow narrowly
“Compliant AI” is not a product feature. A hospital’s public brochure drafting, a bank’s internal AML analyst notes and a law firm’s client contract repository raise different legal and technical obligations. List data classes, processing countries, named sub-processors, records-management retention and the approving authority. Only then ask vendors which specific contract, tier, app and deployment location meet the documented procurement requirement. Do not assume an enterprise badge delivers a legal guarantee.
The four-document diligence packet
Request the operative services agreement and data processing terms, a dated security report or assurance letter where available, specific technical architecture, and a data-flow diagram covering prompts, retrieval, cache, logging and sub-processors. Compare controls for training exclusion, data deletion, human vendor access, incident reporting and encryption keys. The cited OpenAI agreement describes customer-content handling for covered business services; Microsoft and Google describe parts of enterprise access architecture. None establishes universal applicability to the buyer’s jurisdiction.
Run a security-focused proof of concept
Use realistic synthetic records, role-based accounts and known malicious embedded instructions. Check whether the assistant respects permissions and refuses unauthorized tool calls. Audit outputs for unsupported assertions, inadvertent personal-data reproduction and source traceability. Record exact product version, region, tenant flags and approval steps. A vendor-reported benchmark can support product investigation but cannot replace an acceptance test in the real governance configuration.
Total cost and exit risk
Include contract minimums, identity provisioning, storage, human review, retrieval setup, logging, business continuity, security assessment and document migration. Obtain pricing units from AI 10; do not convert API tokens into enterprise seats. Require portable source data, exportable logs where provided and an emergency disablement playbook. Use legal counsel for final region-specific contract review.
What an actual buyer pilot should measure
Freeze the relevant source files, release identifiers, evaluation prompts, operator permissions and reviewer identities. Use the same rights-cleared materials for every candidate; separate tasks that cannot be configured equivalently instead of forcing them into a single ranking. Review the resulting artifacts against objective acceptance criteria specific to this decision: source traceability, error handling, rework, permission boundaries and whether a competent human approves the final deliverable. Record rejected attempts as well as successful examples. This is a proposed method, not a claim that these vendors have been tested by this publication.
Costs and unresolved evidence
Do not equate an interactive assistant seat, media credit, billable character, hosted token or self-hosted GPU hour. To estimate actual spending, count accepted results, failed attempts, revision cycles, human review, security operations and export/storage costs. AI 10 must supply dated provider-specific pricing records with tier, unit, currency and region; in their absence, monetary figures and claims of price parity remain unknown. Account-level availability and contract addenda require verification. No universal winner score or fictitious hands-on rating is assigned.
Decision for this scenario
Make procurement conditional on a signed controls matrix and role-isolated sandbox findings, not an unsupported compliance label.
The article has documented feature and policy evidence but no independent hands-on performance test. Reconfirm plan, region and terms before publication; editorial ready is not WordPress publication approval.
Sources and Further Reading
Original provider and policy sources are listed here. Source-to-claim identifiers are maintained separately in the editorial CSV rather than inserting numbered references into the main text. Where documents are mutable, the access date describes the verification point only.
- OpenAI — OpenAI Services Agreement (checked 2026-10-25)
- Microsoft — How does Microsoft 365 Copilot work? (checked 2026-10-25)
- Google Workspace — What controls Gemini’s access to Workspace data (checked 2026-10-25)