Enterprise AI Governance Platform
Govern AI Systems, Agents, Vendors, and Models with Confidence
Enterprise AI Governance, Risk Management, and Operational Trust
ZYNAGI helps regulated organizations govern AI systems, agents, vendors, and models through centralized oversight, operational accountability, policy management, risk governance, and executive visibility.
Start here
What Zynagi is for, and what you can actually do on this site today
Zynagi works with regulated organizations — medical groups, dental organizations and DSOs, hospitals, ambulatory surgery centers, financial advisory firms, and law firms — on the governance of the AI tools their teams already use or want to use.
The problem is rarely a shortage of AI ambition. It is that AI arrives through individual tools and individual employees. A few months later nobody can say which systems touch patient or client data, which vendors have signed the right agreement, who approved a workflow, or what happens when a model changes underneath it. That gap becomes expensive the first time a client, auditor, insurer, or regulator asks for the record.
We help you close that gap in the order it matters: get a baseline, screen the next use case properly, write down the risk with an owner and a review date, then keep it current.
A simple starting workflow
- 01
Get a baseline score
Run the readiness assessment. It tells you which of the seven pillars is weakest before you spend time on tooling.
Take the assessment - 02
Screen one real use case
Take the AI use case you are closest to approving and work through the intake checklist: data, provider access, output reliability, oversight, security, operational impact, accountability.
Open the intake checklist - 03
Turn findings into a register
Log the risk, the evidence you have, the control, the owner, and the trigger that forces a review. Copy the table and keep it somewhere people can see.
Get the risk register - 04
Decide: approve, hold, or escalate
If the use case touches patient, client, or regulated data, bring it to us and we will review it with you.
Request a review
What you can do without talking to anyone
These four tools are live on this site. Each entry states what it does and what you get back.
Score your AI readiness
21 questions across seven pillars: strategy, data, talent, infrastructure, governance, culture, and operations.
A 0–100 score, a readiness level, and written recommendations. Roughly 10 minutes, no account.
Scan a public website
A scan of publicly visible website signals, summarised into an AI trust score with findings.
A score plus findings. Email verification unlocks the full result. No account to start.
Review AI vendors
A browsable registry with vendor categories, profile pages, and side-by-side comparisons.
Context to bring into a procurement or renewal conversation. No account.
Draft an AI policy
Pick a policy type, an industry, and your organization name.
A copyable draft to edit with legal, compliance, and clinical leadership. No account.
Live and self-serve
- 21-question readiness assessment with a saved scored report
- Public website trust scan
- AI vendor registry and comparisons
- Policy draft generator
- Learning articles and worked examples
Delivered with our team
- →A written AI risk review of a specific use case
- →Vendor due diligence and agreement review
- →A governance program with owners and review dates
- →Cost review of an AI workflow
- →Multi-model approval and fallback policy
Nothing in the second column runs automatically. It starts with a conversation, and scope is agreed before work begins.
What ZYNAGI Does
ZYNAGI is an enterprise AI governance platform, not a consulting engagement.
We provide the governance infrastructure, accountability frameworks, and operational controls that make AI adoption visible, responsible, and defensible across your organization.
AI Governance Platform
Centralized infrastructure for governing AI systems, agents, vendors, and models through inventory, policy, risk assessment, and executive oversight.
AI Accountability Operations
Define ownership, decision authority, human oversight, and evidence for every AI system — from deployment through retirement.
Multi-Model & Vendor Governance
Govern multiple AI models, providers, and open-weight systems through unified inventory, approvals, cost visibility, and lifecycle oversight.
Operational Trust & Audit Readiness
Maintain documented controls, decision logs, and governance evidence that demonstrate responsible AI governance to stakeholders, auditors, and regulators.
Why It Matters
The organizations leading in AI are not the ones moving fastest — they are the ones governing best.
They are the ones with stronger operational trust, clearer AI accountability, reduced risk exposure, better vendor oversight, and audit-ready governance evidence.
ZYNAGI helps you move beyond ad hoc AI adoption to structured governance that protects your organization, your stakeholders, and your reputation.
The winning advantage
Stronger operational trust
Clearer AI accountability
Reduced AI risk exposure
Better vendor oversight
Audit-ready governance evidence
Outcomes We Deliver
Governance outcomes that protect and enable your organization.
Centralized visibility into every AI system, model, agent, and vendor across the enterprise
Clear ownership and accountability across the entire AI lifecycle — from deployment through retirement
Reduced risk through structured governance, policy enforcement, and human oversight controls
Cost governance through AI FinOps, workload optimization, and shadow AI discovery
Audit-ready evidence, decision logs, and governance documentation for regulators and stakeholders
Executive visibility into AI adoption, risk posture, and governance maturity across departments
Industries We Serve
Built for regulated, governance-focused organizations.
Healthcare & Medical Groups
Govern AI clinical tools, vendor platforms, and documentation systems with HIPAA-aligned oversight.
Dental Support Organizations
Centralize AI governance across multi-location operations, vendors, and patient-facing tools.
Financial Services
Meet fiduciary and regulatory obligations through structured AI risk management and accountability.
Legal & Professional Services
Govern AI-assisted research, contract analysis, and client-facing tools with documented controls.
Enterprise & Mid-Market
Establish enterprise-wide AI governance for organizations operating across departments, vendors, and jurisdictions.
How We Work
A four-phase governance system built for enterprise scale.
Governance Assessment
Identify gaps in AI inventory, accountability, risk controls, and governance maturity across your organization.
Platform Architecture
Define the governance structure, policy framework, oversight model, and accountability matrix for your AI environment.
Deploy & Integrate
Implement governance workflows, inventory, monitoring, and evidence collection across all AI systems and vendors.
Monitor & Mature
Continuously assess risk, review controls, and strengthen governance as AI adoption evolves across the enterprise.
What Makes ZYNAGI Different
Platform-first governance, operational accountability, audit-ready evidence.
Platform-first: ZYNAGI is an enterprise governance platform, not a consulting engagement
Operational accountability: ownership, authority, and evidence for every AI system
Multi-dimensional governance: agents, models, vendors, costs, and policies in one layer
Regulated-industry expertise: healthcare, financial services, and professional services
Audit-ready: documented controls, decision logs, and governance evidence maintained continuously
Governed AI Adoption
From Shadow AI to Governed AI Operations
Many organizations already have employees and departments adopting AI tools without oversight. The challenge is determining whether leadership understands which AI systems are in use, what data they access, which vendors are involved, and whether governance, accountability, and risk management processes exist to manage exposure.
ZYNAGI provides the governance platform, policy framework, inventory management, and oversight controls needed to transform uncoordinated AI adoption into responsible, accountable, and defensible AI operations.
Governance Platform
Enterprise AI Governance Solutions
Platform
AI Governance Platform
Centralized governance infrastructure for enterprise AI oversight, policy management, and risk assessment.
Read MoreGovernance
Enterprise AI Defensibility
Measure and strengthen governance maturity, audit readiness, and operational trust across your AI environment.
Read MoreAccountability
AI Accountability
Define ownership, decision authority, human oversight, and evidence for every AI system across your enterprise.
Read MoreModel Governance
Multi-Model Governance
Centralize oversight across every AI model, provider, and deployment environment through one governance layer.
Read MoreFinOps
AI Cost Governance
Gain visibility into AI spending through governed FinOps, workload optimization, and shadow AI discovery.
Read MoreAgent Governance
AI Agent Governance
Govern autonomous AI agents through inventory, permissions, human oversight, and lifecycle controls.
Read MoreRequest a private strategy session.
Built for $2M–$3M+ operators who want stronger positioning, SEO dominance, AI visibility, premium conversion systems, and a more elite operating infrastructure.