# NIST AI RMF: MAP 1.4

> GAMMA-Ray v0.0.155 (beta, for review; every rating is experimental). One line item of AI Risk Management Framework 1.0, subcategories (nist.MAP-1.4): its text, its place in the source, the indicators that cite it and the evidence that reaches it.
> Page: https://gamma-ray.sgit.ai/provisions/nist.MAP-1.4/ · Source: data/provisions.json


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](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](../../instruments/index.md), 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`](../../questions/index.md#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`](../../questions/index.md#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](../../spectrum/cards/riskmandate-publisher/index.md) | `S1` | partly evidenced | [Source](https://riskmandate.ai/versions/index.json) | π Moderate · S1·R5·A1 ×2 |
| [The PrompTugal.news agent team](../../spectrum/cards/promptugal-newsroom-team/index.md) | `S1` | partly evidenced | [Source](https://promptugal.news/newsroom/versions.json) | π Moderate · S1·R5·A1 ×2 |
| [AI Grant Consultant](../../spectrum/cards/granter-ai-grant-consultant/index.md) | `I67` | partly evidenced | "The pilot has already delivered measurable results:" [Source](https://granter.ai/case-studies/marinha) | π Moderate · S1·R5·A1 ×3 |
| [AI Grant Consultant](../../spectrum/cards/granter-ai-grant-consultant/index.md) | `S1` | partly evidenced | "Super Bock's team turned to the AI Grant Consultant" [Source](https://granter.ai/case-studies/superbock) | π Moderate · S1·R5·A1 ×3 |
| [AI Reviewer](../../spectrum/cards/codacy-ai-reviewer/index.md) | `S1` | partly evidenced | "reviewer, quality gates, container scanning and MCP server are now part of daily work" [Source](https://resources.codacy.com/resources/case-study-bfi-finance) | π Moderate · S1·R5·A1 ×3 |
| [AISLE platform](../../spectrum/cards/aisle-platform/index.md) | `I67` | partly evidenced | "AISLE has already saved teams 50,000+ engineering hours." [Source](https://aisle.com/enterprise) | π Moderate · S1·R5·A1 ×3 |
| [AISLE platform](../../spectrum/cards/aisle-platform/index.md) | `S1` | partly evidenced | "Jira ticket creation, Slack notifications, and AI-powered pull requests" [Source](https://aisle.com/customers/productboard) | π Moderate · S1·R5·A1 ×3 |
| [Automaise Conversational AI](../../spectrum/cards/automaise-conversational-ai/index.md) | `S1` | partly evidenced | "able to manage and autonomously solve account access related issues" [Source](https://site.automaise.com/use-cases/via-ctt) | π Moderate · S1·R5·A1 ×3 |
| [GetVocal AI agents](../../spectrum/cards/getvocal-agents/index.md) | `I67` | partly evidenced | "Track KPIs, escalation trends, and CX quality across all journeys." [Source](https://www.getvocal.ai/control-tower) | π Moderate · S1·R5·A1 ×3 |
| [GetVocal AI agents](../../spectrum/cards/getvocal-agents/index.md) | `S1` | partly evidenced | "Sam automatically logs the event in the ISO database" [Source](https://www.getvocal.ai/customers/nicomatic) | π Moderate · S1·R5·A1 ×3 |
| [Hackian](../../spectrum/cards/ethiack-hackian/index.md) | `S1` | partly evidenced | "Hackian, our agentic AI pentester, runs against U.Porto's exposure 24/7" [Source](https://ethiack.com/info-hub/case-studies/scaling-security-how-uporto-and-ethiack-protected-5000-assets-with-ai-powered-intelligence) | π Moderate · S1·R5·A1 ×3 |
| [Manus](../../spectrum/cards/manus-agent/index.md) | `S1` | partly evidenced | "k-ID now runs over eight thousand Manus sessions across the team." [Source](https://manus.im/blog/k-id-customer-story) | π Moderate · S1·R5·A1 ×3 |
| [Noxus AI Workers](../../spectrum/cards/noxus-ai-workers/index.md) | `S1` | partly evidenced | "patient communications processed automatically per month" [Source](https://www.noxus.ai/case-studies/cuf-healthcare) | π Moderate · S1·R5·A1 ×3 |
| [OutSystems Agent Workbench](../../spectrum/cards/outsystems-agent-workbench/index.md) | `S1` | partly evidenced | "It helps us equip our consultants with innovative AI tools" [Source](https://www.outsystems.com/case-studies/teamwork-ai-agents/) | π Moderate · S1·R5·A1 ×3 |
| [Replit Agent](../../spectrum/cards/replit-agent/index.md) | `S1` | partly evidenced | "Zillow has roughly 600 Replit seats for its employees" [Source](https://replit.com/news/funding-announcement) | π Moderate · S1·R5·A1 ×3 |
| [Spinnable AI employees](../../spectrum/cards/spinnable-ai-employees/index.md) | `S1` | partly evidenced | "Clara manages my calendar, runs my outreach, and keeps my pipeline current." [Source](https://www.spinnable.ai/) | π Moderate · S1·R5·A1 ×3 |
| [Talkdesk Autopilot](../../spectrum/cards/talkdesk-autopilot/index.md) | `I67` | partly evidenced | "Visualize usage, channel distribution, customer intents, and escalation rate to live agents." [Source](https://www.talkdesk.com/cloud-contact-center/self-service-experience/autopilot/) | π Moderate · S1·R5·A1 ×3 |
| [Visor.ai AI agents](../../spectrum/cards/visor-ai-agents/index.md) | `I67` | partly evidenced | "Max started at 65% automation in 2021, and the goal is 80%" [Source](https://www.visor.ai/success-stories/millennium-bcp/) | π Moderate · S1·R5·A1 ×3 |
| [Visor.ai AI agents](../../spectrum/cards/visor-ai-agents/index.md) | `S1` | partly evidenced | "conversations between brokers and the AI agent every month 80,000" [Source](https://www.visor.ai/success-stories/generali/) | 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](../../fact-ray/well-known/index.md)). A company that already assesses itself against NIST AI RMF can reuse that work.

[All provisions](../../provisions/index.md)