NIST AI RMF: MAP 1.4
Provision nist.MAP-1.4 · AI Risk Management Framework 1.0, subcategories · subcategory
The business value or context of business use has been clearly defined or – in the case of assessing existing AI systems – re-evaluated.
The text is as taken from the source. In the source: https://airc.nist.gov/airmf-resources/playbook/map/#Map%201.4 (the subcategory, in the NIST AI RMF Playbook (anchor found in the page); linked 2026-11-10). The instrument: AI Risk Management Framework 1.0, subcategories, a United States government work; freely reusable; read 2026-11-10.
Who cites it
| Indicator | The fact it asks for | Kind of link | The assertion |
|---|---|---|---|
I67 | Its value is measured | part: partly evidenced | Asserted in the mapping by gamma-ray@web-summit.dinis; the written basis is not recorded yet. |
S1 | It is in production: a public source names a customer or gives usage figures for what it does on its own | part: partly evidenced | The subcategory asks that the business value of use be defined; a named customer in production is public evidence of one such use. Asserted by gamma-ray@web-summit.dinis, 2026-11-10; weak: one reader, unchecked. |
A link is our assertion, not the instrument's. "Same" carries the evidence to the provision in full. "Part" marks the provision as partly evidenced: the fact is one piece of what it asks. "Negation" points the other way.
The evidence that reaches it
| Card | Through | This provision is | The evidence | How far to trust it |
|---|---|---|---|---|
| RiskMandate Publisher | S1 | partly evidenced | Source | π Moderate · S1·R5·A1 ×2 |
| The PrompTugal.news agent team | S1 | partly evidenced | Source | π Moderate · S1·R5·A1 ×2 |
| AI Grant Consultant | I67 | partly evidenced | "The pilot has already delivered measurable results:" Source | π Moderate · S1·R5·A1 ×3 |
| AI Grant Consultant | S1 | partly evidenced | "Super Bock's team turned to the AI Grant Consultant" Source | π Moderate · S1·R5·A1 ×3 |
| AI Reviewer | S1 | partly evidenced | "reviewer, quality gates, container scanning and MCP server are now part of daily work" Source | π Moderate · S1·R5·A1 ×3 |
| AISLE platform | I67 | partly evidenced | "AISLE has already saved teams 50,000+ engineering hours." Source | π Moderate · S1·R5·A1 ×3 |
| AISLE platform | S1 | partly evidenced | "Jira ticket creation, Slack notifications, and AI-powered pull requests" Source | π Moderate · S1·R5·A1 ×3 |
| Automaise Conversational AI | S1 | partly evidenced | "able to manage and autonomously solve account access related issues" Source | π Moderate · S1·R5·A1 ×3 |
| GetVocal AI agents | I67 | partly evidenced | "Track KPIs, escalation trends, and CX quality across all journeys." Source | π Moderate · S1·R5·A1 ×3 |
| GetVocal AI agents | S1 | partly evidenced | "Sam automatically logs the event in the ISO database" Source | π Moderate · S1·R5·A1 ×3 |
| Hackian | S1 | partly evidenced | "Hackian, our agentic AI pentester, runs against U.Porto's exposure 24/7" Source | π Moderate · S1·R5·A1 ×3 |
| Manus | S1 | partly evidenced | "k-ID now runs over eight thousand Manus sessions across the team." Source | π Moderate · S1·R5·A1 ×3 |
| Noxus AI Workers | S1 | partly evidenced | "patient communications processed automatically per month" Source | π Moderate · S1·R5·A1 ×3 |
| OutSystems Agent Workbench | S1 | partly evidenced | "It helps us equip our consultants with innovative AI tools" Source | π Moderate · S1·R5·A1 ×3 |
| Replit Agent | S1 | partly evidenced | "Zillow has roughly 600 Replit seats for its employees" Source | π Moderate · S1·R5·A1 ×3 |
| Spinnable AI employees | S1 | partly evidenced | "Clara manages my calendar, runs my outreach, and keeps my pipeline current." Source | π Moderate · S1·R5·A1 ×3 |
| Talkdesk Autopilot | I67 | partly evidenced | "Visualize usage, channel distribution, customer intents, and escalation rate to live agents." Source | π Moderate · S1·R5·A1 ×3 |
| Visor.ai AI agents | I67 | partly evidenced | "Max started at 65% automation in 2021, and the goal is 80%" Source | π Moderate · S1·R5·A1 ×3 |
| Visor.ai AI agents | S1 | partly evidenced | "conversations between brokers and the AI agent every month 80,000" Source | π Moderate · S1·R5·A1 ×3 |
Touched never means complies.
Answer it directly
A company can answer this line item itself, in its own file at /.well-known/fact-ray.json, with the node gamma-ray:provision/nist.MAP-1.4 (how). A company that already assesses itself against NIST AI RMF can reuse that work.