GOVERNED AI & ENTERPRISE SEARCH
Permissions. Evidence. Operating responsibility.
Enterprise AI touches identities, source systems, data flows, and the people accountable for its use. Booker Tech Consulting applies architecture review to those connections: what can be accessed, what an answer supports, and what needs to change before the next step.
CHOOSE THE DECISION
Choose the engagement that matches your uncertainty. These are alternatives, not a required three-stage purchasing sequence.
ACCESS BOUNDARIES
Use when: A platform owner, security architect, or AI lead needs to understand what a pilot can access.
Starting scope: Up to two content connectors, stakeholder discussions, and sanitized permission and architecture evidence.
You receive: An access and data-flow map, prioritized gaps, and a remediation sequence.
The decision: What needs attention before expanding access or use?
Discuss this starting pointANSWER TRUST
Use when: A knowledge or AI sponsor has a defined use case or a search experience people do not trust.
Starting scope: One use case and a bounded set of sources; review permissions, citations, freshness, and answer evaluation.
You receive: A trust-boundary review, evaluation criteria, a risk register, and a proceed, prepare, or stop recommendation.
The decision: Is the use case ready for its intended audience?
Discuss this starting pointIMPLEMENTATION DIRECTION
Use when: A funded initiative has a selected workload and an owner who needs an implementation plan.
Starting scope: One workload and agreed environments, including deployment boundaries, evaluation, and responsibility.
You receive: A target architecture, decision records, a control and evaluation plan, and a sequenced delivery backlog.
The decision: What should be built, configured, deferred, or changed?
Discuss this starting pointRAG means retrieval-augmented generation: a model uses retrieved source material to help construct an answer. Both source retrieval and the resulting answer need evaluation.
ILLUSTRATIVE ASSESSMENT EXCERPT
Fictional scenario. Not a client case study. All systems, evidence references, findings, and proposed responsibilities below are invented to demonstrate the review. No model was tested for this example, and no security, accuracy, or production outcome is claimed.
A fictional internal policy assistant is being considered for a wider employee pilot. Its proposed sources include general procedures and manager-only guidance. The sponsor needs to decide which content and users can be included, and how unsupported or outdated answers will be handled.
Boundary: One policy-search use case, two document collections, and employee/manager test personas. No patient information, employment decisions, live access, or production deployment is included.
Examine indexing, permission changes, caches, conversation history, and logs as well as the visible answer. The diagram is a proposed review boundary, not evidence that these controls work.
F01 / PERMITTED CONTENT
Fictional evidence E1: A sample design gives the connector access to both collections but omits how employee identity constrains retrieval.
Inference: User-level enforcement is unspecified. This is not proof of an actual disclosure.
Verify: Use synthetic documents and authorized test personas to check results, snippets, citations, cached responses, and follow-up questions before and after access is removed.
F02 / SUPPORTED ANSWERS
Fictional evidence E2: A sample acceptance checklist asks whether an answer has a link, but not whether that source supports the answer or is current.
Inference: Answer support and source freshness are unevaluated. No accuracy rate can be inferred.
Verify: Build owner-reviewed test cases for supported questions, obsolete or conflicting documents, and questions with no answer in the approved sources.
F03 / OPERATING OWNERSHIP
Fictional evidence E3: A sample pilot checklist names the AI owner but omits source correction, permission-change handling, and incident escalation.
Inference: Operating responsibilities are incomplete; response performance has not been demonstrated.
Verify: Assign source, platform, and security owners. Rehearse a synthetic source withdrawal and a report of an inappropriate answer.
03 / SAMPLE DECISION · ADR-AI-001
Status: Proposed within this fictional scenario, subject to evidence and stakeholder review.
Proposed choice: Prepare Option B; do not interpret the recommendation as permission to launch. Unknown access behavior, unsupported-answer behavior, or missing owners keeps the release decision open.
Reconsider if: The use case requires restricted content to be useful, source owners cannot resolve conflicting material, or the system cannot demonstrate the required access and retention boundaries.
Proposed owner: Source owner and security counterpart.
Completion evidence: Approved source scope, synthetic test documents, and an explicit allow/deny matrix. Tests include permission removal and document withdrawal.
Proposed owner: Knowledge owner and evaluation lead.
Completion evidence: Reviewed expected answers and source references, including cases that require an explicit “insufficient information” response. Record failures and limitations rather than inventing an aggregate score.
Proposed owner: Platform lead with source and security owners.
Completion evidence: A rehearsal covering stale content, access changes, and inappropriate answers, with responsibility for containment, correction, and communication.
Proposed owner: Use-case sponsor.
Completion evidence: Agreed acceptance criteria, observed results, unresolved risks, permitted audience, and a stop or rollback procedure. Passing a bounded test is not a claim of universal safety.
This excerpt shows how access, answer support, and operating evidence inform a decision. It is not a live demonstration, penetration test, or compliance certification.
HOW THE WORK STARTS
Work starts with an agreed question and a written scope, fee, inputs, and delivery date. Ian's integration and platform experience informs these reviews; independent AI lab findings remain distinct from client production outcomes.
Discuss a project or contractUseful inputs: A use-case description, sanitized architecture and permission information, source ownership, existing evaluation criteria, and known concerns.
Separately scoped: System access, implementation, production testing, penetration testing, and ongoing operations. No certification, guaranteed accuracy, or blanket security assurance is offered by these reviews.
Initial reviews use sanitized evidence. Do not send patient data, credentials, or confidential material through the inquiry link.
START A CONVERSATION
Share the work, the team, and the timing. Ian welcomes relevant senior architecture opportunities and focused consulting inquiries.
Please leave out patient data, credentials, and confidential documents. Supporting material can be arranged afterward.
Describe the integration, platform, or architecture challenge and the support you need.
Governed AI and Enterprise Search
Discuss a project or contractOpens your email app with a project outline.
Or use the inquiry formFor consulting, scope, fee, inputs, and timing are agreed before work starts.
C2C/1099 preferred. Suitable W2 roles considered.
Send the role, organization, location, engagement type, and expected rate or salary range.
Discuss an architecture roleOpens your email app with an opportunity outline.
Or use the inquiry form