ITECS offers custom AI assistant work for business use cases. A responsible design begins with the user task, governed knowledge, data boundaries, and authority—not a model label. The design pattern below remains architecture-neutral because production details vary by system.
Current as of 2026-08-15
NIST’s Generative AI Profile extends the voluntary AI Risk Management Framework for generative AI. Implementation details, vendors, models, and configurations should be verified by system owners during solution design, acceptance, periodic review, and material change.
Decision summary
- Define the assistant’s task, audience, source corpus, and refusal boundary.
- Keep answer generation separate from action-taking authority.
- Evaluate groundedness, retrieval, safety, privacy, accessibility, latency, and handoff.
- Operate the assistant with owners, logs, incident response, updates, and retirement.
Design from the user task
- Questions the assistant should answer.
- Sources it may use and content owners for each source.
- Topics it should refuse or route to a human.
- Whether it may draft, navigate, create records, or take external actions.
- Success, safety, and stop metrics.
Govern the knowledge layer
Retrieval can help connect answers to approved content, but it does not guarantee correctness. Track source version, indexing date, access controls, deletion, conflicting documents, unsupported questions, citations, and feedback. Do not index secrets or regulated data without an approved design.
Test the complete system
- Representative questions, ambiguous phrasing, and no-answer cases.
- Prompt injection in pages, files, and user input.
- Cross-user and restricted-content access attempts.
- Citations, link destinations, and stale-content behavior.
- Mobile, keyboard, screen-reader, timeout, outage, and human handoff.
- If actions exist: authorization, confirmation, duplicate action, rollback, and audit.
Operate with accountable owners
Apply NIST AI RMF functions across the system lifecycle. Assign owners for content, model and vendor changes, security, privacy, evaluation, incidents, user feedback, and retirement. A production assistant is an operating service, not a one-time embed.
Next step
Create a one-page assistant charter covering users, sources, prohibited data, authority, evaluation, owners, incidents, and stop conditions. For an environment-specific baseline, request an ITECS technology and security assessment.
Primary Sources
- NIST AIRC — Generative AI Profile resources
- NIST AIRC — AI RMF Core
- NIST — AI Risk Management Framework 1.0
Review trigger: Review when sources, users, vendors, models, prompts, retrieval, actions, data, or applicable rules change.
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About Brian Desmot
The ITECS team consists of experienced IT professionals dedicated to delivering enterprise-grade technology solutions and insights to businesses in Dallas and beyond.
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