Consulting
For services firms and mid-market regulated businesses: we encode your experts' judgment into defensible AI systems, and stand up the governance to prove it — with the evidence an auditor, a client, or a board actually wants to see.
Built for one buyer
You bid the work, you hold the data, and increasingly you have to prove you use AI responsibly — to the regulator, and on every client security questionnaire. We close that gap with packaged, fixed-scope engagements, each with a concrete artifact and an obvious outcome.
Two to four weeks, fixed fee. We inventory where AI is actually used — including shadow use — risk-tier it against NIST AI RMF, ISO 42001, and the EU AI Act, and hand back a gap report with a prioritized remediation path. Audit-ready findings, and answers for your client questionnaires.
We stand up the controls the assessment calls for — data/PII gating, logging, human-in-the-loop, model-portability — mapped to your framework. And we encode a senior expert's judgment into a defensible tool, the same pattern behind our own products.
A light retainer that keeps your AI inventory, policy, and vendor contracts current as the rules move. Governance is never one-and-done — the frameworks keep shifting, so staying defensible is a subscription, not a project.
Why us
Most AI-governance help ends at a policy PDF. Ours starts from a working reference implementation: a cross-provider gateway so you're not locked to one lab, a data/PII publish gate, cross-model verification on high-stakes calls, and an audit trail — the exact controls the frameworks ask for, running in production. That's also how we build: encode a practitioner's judgment into an AI system, delivered with evidence and a confidence level, never a black box.
One engagement, two specialists
Every AI capability at 2057 Holdings lives under Noevant — the governance method, the tooling, and the recommendations. When an engagement moves from findings to implementation and run, it's delivered by Safire Business Services' enterprise-IT team. You get the sharp AI practice and the decades of hands-on delivery, on one statement of work.
Governance assessments, the encoded-judgment tooling, and the defensible recommendations — the AI method and the IP.
Enterprise-IT delivery — implementing the controls, standing up the tools, and running them day to day.
How an engagement runs
Inventory AI use and risk-tier it against the frameworks — a clear picture of where you stand.
A ranked remediation path — what to fix first, what it protects, and what it costs.
Stand up the guardrails and, where it pays, the encoded-judgment tools — audit-ready.
Keep inventory, policy, and vendor contracts current as the rules and your AI footprint change.
Start where the risk is
Fixed scope, fixed fee, a findings report you can act on — and take to your clients.
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