foryn

Human standards for AI work

The biggest risk is skim and send

AI drafts sound ready. People move too fast. Foryn gives people and teams a shared method, review gates, and evidence for AI-assisted work.

What governed AI work looks like

Work moves from draft to review to approved reuse with clear thresholds, not guesswork.

Team member drafts

Release notes summary

member

Draft prompt pending manager review before team reuse.

Manager queue

Project status narrative

queue

Status update prompt drafted for weekly leadership review.

Customer escalation response

queue

Escalation prompt with next-action framing and escalation path.

Team library

Incident brief template

library

Previously approved prompt now available in team library.

Archive

Rejected cards appear here for record and audit context.

Foryn governs AI use at the point of decision.

Defines your standard

Activation installs one shared threshold for AI work quality.

Enforces review

Structured workflow and review gates prevent unreviewed output from leaving the team.

Evidence trail

Each artifact keeps a traceable decision trail, including revisions, reviewers, and readiness.

Regulated-domain credibility, enterprise governance alignment.

United States Customs and Border Protection seal

Foryn's standards framework is approved by U.S. Customs and Border Protection for licensed customs broker continuing education.

NIST AI Risk Management Framework core functions

For enterprise deployments, we run an NIST AI RMF-aligned governance program that maps governance decisions to the RMF's core functions: Govern, Map, Measure, and Manage, with a focus on operational enforcement at the draft and review layer.

Use your existing AI tools

Foryn is tool-agnostic software. No integrations required. Apply the standard here, then run the work in your approved AI tools.

Tool agnostic means you can keep your approved vendors while standardizing how people use them. Foryn focuses on the workflow that sits between the tool and the final draft, with clear review steps and reusable patterns for consistent output quality.

ChatGPTClaudeGeminiMicrosoft CopilotGitHub CopilotPerplexityAmazon QMeta AIMistralCohereGoogle Vertex AIAzure OpenAI ServiceAmazon BedrockIBM watsonxDatabricks Mosaic AISnowflake CortexSalesforce Einstein CopilotServiceNow Now AssistSlack AIZoom AI CompanionNotion AIGrammarlyWriterCanva Magic StudioAdobe FireflyMidjourneyDALL·EStable DiffusionChatGPTClaudeGeminiMicrosoft CopilotGitHub CopilotPerplexityAmazon QMeta AIMistralCohereGoogle Vertex AIAzure OpenAI ServiceAmazon BedrockIBM watsonxDatabricks Mosaic AISnowflake CortexSalesforce Einstein CopilotServiceNow Now AssistSlack AIZoom AI CompanionNotion AIGrammarlyWriterCanva Magic StudioAdobe FireflyMidjourneyDALL·EStable Diffusion

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AI usage is already happening.

The question is whether it follows a standard.