Governance 1st turns NIST AI RMF into a daily operating system. Every committee meeting, every policy update, every guardrail, every incident, every model in your stack, one platform, one source of truth, one place where governance becomes work that gets done instead of work that gets talked about.
Every governance program follows the same arc, assemble accountability, identify scope, document the rules, train the people, install the guardrails, watch the outputs, and grow what works. We just made each step a real, working part of the product, not a slide.
Each module solves a piece the framework demands and stops at exactly that. No bloat. No shelfware. Everything wired into a shared use-case registry, audit log, and approval engine.
Stand up oversight committees with structured agendas, voting, decision logs, and tracked action items, so accountability is documented, not assumed.
Catalog every AI use case in the organization. Score each on a 3×3 probability/impact matrix. Route approvals through the committee with full audit trail.
Upload policies, procedures, audit reports, training materials. The platform AI-summarizes, critiques, and maps each document to the frameworks you operate under.
Curated AI training across four levels, Fundamentals, Professional, Technical, Executive, with built-in exams and per-employee certification tracking.
Two layers of protection: behavioral guardrails that bound what your AI is allowed to do, and content filters that block patterns you don't want appearing. Same 10-behavior, 200-rule taxonomy that powers the Governance 1st Browser Extension. Test in sandbox before promoting.
Ten behavior evaluators sit on every model call. Custom dashboards. Real-time alerts. The kill switch is one click and it's tied to the use-case registry.
Pick a framework. Pick a template. The platform fills in your organization's specifics, lets you edit, and exports a ready-to-circulate policy document.
Every model from every provider, OpenAI, Anthropic, Google, Azure, Cohere, and 10+ more. Per-model cost, rate limits, approval requirements, and a kill switch.
Workforce disruption analysis, AI adoption metrics, and a 10-milestone operational readiness checklist. The dashboard executives actually look at.
Monitoring isn't a dashboard. It's a set of evaluators running on every model call, flagging the failure modes that matter to your committee, your auditor, and your user. Same 10-behavior taxonomy that drives the Governance 1st Browser Extension, with 200 underlying guardrails (20 per category) backing every score.
Detect when the model invents facts unsupported by retrieved context. Grounding, citation enforcement, math audits, temporal validity, entity coherence. 20 underlying rules.
Behavioral shift detection over time. Catch silent regressions after vendor updates before users do. Semantic baseline tracking, perplexity audits, shadow-deployment comparison.
Statistical and language-pattern bias scoring across protected classes. Demographic parity, occupational stereotyping, name-based scoring, counterfactual substitution.
Hard-blocks on unlicensed medical diagnosis, financial picks, legal strategy, CBRN content, malware generation, lethal-force optimization, and 14 more high-harm categories.
Prompt-injection and jailbreak attempts logged, blocked, and routed to safeguards. System prompt encapsulation, suffix filtering, DAN pattern matching, dual-LLM separation.
Track when the model refuses, why, and whether the refusal aligns to policy. Catch over- and under-refusal. Intent classification, tone auditing, granular reason labeling.
Near-zero-tolerance hard floor. Slurs, dehumanizing analogies, genocide rationalization, eugenics, transphobic rhetoric, dogwhistles, hate-group ideology, post-generation toxicity scan.
Structurally broken reasoning delivered fluently. Ad hominem, straw man, slippery slope, false dichotomy, correlation-as-causation, circular reasoning, hasty generalization.
The model picking a political side. Candidate endorsement, loaded adjectives, asymmetric treatment of left-vs-right policy. Multi-perspective balance, source disclosure, partisan anchor detection.
Confident assertions contradicting verified consensus. Anti-vax claims, election fraud narratives, climate denial, fabricated quotes, predatory MLM scripts. Consensus alignment, integrity shields.
Pick the regimes that apply. The platform maps your policies, use cases, and controls to each automatically, so reviews, audits, and certifications stop being one-off projects.
Native connectors to the systems running your workforce data and your communications stack. Sync rosters, certifications, calendars, document libraries, and incident channels.
Roster sync, certification tracking, role data for use-case scoping.
Headcount + role mapping for workforce disruption analysis.
HRIS as source of truth for org structure and committee membership.
Employee population and certifications for training compliance.
Drive for documents, Gmail for incident channels, Calendar for meetings.
SharePoint, Outlook, Teams, same scope, Microsoft side.
Generic adapter pattern. If you have an HRIS, we can plug in.
Census, EEOC, OPM, Regulations.gov, USAspending, public data wired in.
OpenAI, Anthropic, Google, Azure, Cohere, AWS Bedrock, and more.
Most companies start with a Word doc, a SharePoint folder, and a quarterly meeting. Then someone asks "where's the use case for this agent?" and the system breaks.
30-minute working session: we plug in two of your real AI use cases, run them through the framework, and show you exactly what governance looks like operationally.