See, govern, and evidence every AI system you run — without handing the keys to the vendor
Your teams are adopting AI faster than you can track. Fronterio sits above your AI stack: one accountable registry over the whole estate (Copilot Studio, Azure AI Foundry, Claude, and every declared tool), read-side telemetry and governance evidence, shadow-AI visibility from the signals you already collect, an MCP governance API your existing systems can read from, and a nightly Autopilot that auto-evidences six of eight EU AI Act deployer obligations. Fronterio reads, correlates, and evidences — it never runs your workloads.
Accountable registry across your entire AI estate: every agent with an owner, a risk tier, and an initiative link
Cross-vendor usage trackers reading real telemetry: Microsoft Copilot, Google Gemini, Anthropic Claude
Article 26 deployer obligations auto-evidenced by nightly Autopilot
How Fronterio works for CTOs
As CTO, your challenge is balancing innovation speed with governance, security, and sovereignty. Every team is standing up AI on a different platform. Without one registry of what runs where, who owns it, and what evidence exists, you end up answering leadership's questions from spreadsheets and guesswork — and the shadow tools stay invisible.
Fronterio's Agent Governance module is a living registry of every AI agent in your organisation — the business layer of your AI estate. Each agent has an accountable owner, a risk classification, approval status, data access map, guardrail configuration, and EU AI Act compliance record, all in one place. Propose → approve → monitor → retire, with the full audit trail immutable by design.
The registry is fed by reading from the platforms you already run: Copilot Studio agent discovery, Azure AI Foundry, the Copilot + Gemini + Claude usage trackers, Purview sensitivity signals, and your declared tool directory. Fronterio integrates read-side with your stack instead of competing with it — your build teams keep their tools, and leadership gets one accountable picture. When you want governed deployment, it's there too: guardrailed deploys to Azure AI Foundry, Microsoft Copilot Studio, Claude managed agents, or your own webhook, each gated by a pre-deploy compliance check.
Fronterio Everywhere surfaces the platform where your people already work. The Microsoft Teams agent (Pro + Enterprise) puts governed AI inside every Teams chat. Copilot Studio integration (Enterprise) exposes Fronterio's Governance Bridge MCP to Microsoft Copilot Studio. SharePoint intranet sync (Enterprise) mirrors initiatives, agents, guides, and compliance into native SharePoint lists. The Copilot + Gemini + Claude adoption trackers pull real usage data. One surface, every Microsoft/Google touchpoint.
The MCP Server (Enterprise) exposes a governance API over SSE that your existing systems can read from: pull governance state, risk classifications, approved configurations, and compliance posture, and push telemetry back — Fronterio becomes the evidence layer your stack reports into. Shadow AI visibility comes from signals you already have: Purview signals, DLP and network exports, and the declared tool inventory feed the governance registry. No endpoint agents, no scanning employee machines.
The technical difference
Without Fronterio
- No central registry of AI agents across teams: each team ships its own
- AI usage data scattered across vendor admin centres — no single accountable picture
- Shadow AI tools invisible to IT leadership: risk surface unknown
- Audit trail gaps for regulatory inquiries, ad-hoc evidence gathering
With Fronterio
- Full estate registry with accountable owners, risk classification, guardrails, and initiative links
- Read-side integrations across Copilot Studio, Azure AI Foundry, Purview, and the Copilot + Gemini + Claude trackers
- Shadow AI visibility from signals you already collect: Purview, DLP exports, declared tool inventory
- Immutable audit log + nightly Autopilot auto-evidencing 6 of 8 Article 26 obligations
Your technical toolkit
Agent Governance Registry
One accountable registry of everything that runs: owner, risk level, data access, guardrails, approval status, and the initiative each agent serves. The business layer of your AI estate, populated by reading from your platforms.
Read-Side Estate Integrations
Copilot Studio discovery, Azure AI Foundry, Purview sensitivity signals, and cross-vendor usage trackers for Copilot, Gemini, and Claude. Governed deployment with pre-deploy compliance checks is available to Azure AI Foundry, Copilot Studio, Claude managed agents, and custom webhooks when you need it.
Governance API (MCP)
An SSE-based governance API your existing systems read from: governance state, risk classifications, approved configurations, and compliance posture, with telemetry flowing back. Fronterio becomes your evidence layer, not another dashboard.
Shadow AI Visibility
Discover unsanctioned AI from the signals you already have: Purview signals, DLP and network exports, and the declared tool inventory. Findings auto-feed the governance registry — no endpoint agents, no employee surveillance.
Fronterio Everywhere: AI governance where your people already work
The platform shouldn't be another tab your engineers forget to open. Fronterio Everywhere surfaces the same governed AI across Microsoft Teams, Copilot Studio, SharePoint, the Copilot + Gemini + Claude adoption trackers, and the MCP governance API your existing systems read from. Same guardrails, same audit log, same evidence, exposed through every surface your company already uses. Your Teams users chat with the AI Consultant without leaving Teams. Your Copilot Studio builders consume Fronterio's Governance Bridge MCP. Your SharePoint intranet auto-mirrors the agent registry and governance records. One accountable layer, every Microsoft/Google touchpoint.
See the integrationsYour path to governed AI
Register + classify
Connect your platforms and let the registry populate: every AI system, auto-classified for EU AI Act risk, mapped to its data access and an accountable owner. Shadow-AI ingestion surfaces anything undeclared.
Guardrail + approve
Configure blocked actions, human approval requirements, and PII filters. Every agent carries its guardrail configuration and approval trail in the registry.
Connect + correlate
Wire up the read-side integrations — Copilot Studio, Azure AI Foundry, Purview, the usage trackers — and correlate what runs with who owns it and which initiative it serves. Governed deploys to the four supported targets are one click away when you want them.
Monitor, detect, auto-evidence
Continuous shadow-AI visibility plus estate telemetry. The nightly Autopilot auto-evidences 6 of 8 Article 26 obligations into the immutable audit log.
Get your AI estate under control
Start with a free assessment. Governance is available on Pro and Business; the connected estate on Enterprise.