Turn scattered AI experimentation into measurable operating leverage
Technology companies do not lack AI activity. Copilot in engineering, assistants in support, agents in production: the activity is everywhere and the business result is unclear. Fronterio puts a value case behind the experiments worth scaling, keeps every agent accountable to an owner and an outcome, and shows leadership what the AI estate actually returns.
Where AI creates value in technology companies
Technology companies are AI-native, and your teams adopt new tools daily. GitHub Copilot in engineering, AI assistants in customer support, autonomous agents in CI/CD pipelines, AI-powered product features for end users. The challenge isn't adoption. It's keeping track of what's deployed and ensuring governance scales with your velocity.
Fronterio's Agent Governance registry gives you a single source of truth for every AI agent across your organisation. From internal productivity tools to customer-facing AI features, every agent is registered, classified, and monitored.
The Shadow AI Detector surfaces AI tools your teams are using that IT doesn't know about — from signals you already have: Purview sensitivity-label signals, DLP and network-log exports, and reconciliation of tracked usage against your declared tool inventory. Fronterio proposes what it finds for governance review automatically.
Track Copilot adoption across engineering, product, and operations teams. See which teams are power users, which need support, and where licence spend is being wasted. Connect adoption data to actual engineering metrics: PRs merged, code review time, deployment frequency.
And as EU AI Act obligations apply to your customer-facing AI features, Fronterio handles the compliance layer. Risk classification for your product's AI capabilities, deployer obligation tracking, and audit-ready documentation, all without adding another tool to your already-complex stack.
The technology company difference
Without Fronterio
- Dozens of AI tools adopted without central visibility
- Shadow AI usage growing faster than governance
- No clear ROI metrics connecting AI tools to engineering output
- Compliance bolted on after deployment instead of built in
With Fronterio
- Single registry of every AI agent across all teams
- Shadow AI detection and automatic governance proposals
- Adoption metrics tied to real engineering and business output
- Compliance-first governance that moves at your deployment speed
Key capabilities for technology companies
AI Agent Registry at Scale
Register and govern 50+ AI agents across engineering, product, support, and operations. Approval workflows, monitoring, and lifecycle management.
Shadow AI Detection
Surface unsanctioned AI through Purview signals, DLP and network-log exports, and reconciliation of observed usage against what was declared. Found tools are auto-proposed for governance review.
Copilot & Tool Adoption Tracking
Track Microsoft Copilot, Google Gemini, and Claude adoption per team. Identify power users, underutilisation, and licence waste.
Engineering-Speed Compliance
EU AI Act compliance that fits into CI/CD workflows. MCP Server integration for governance-as-code. The compliance check runs before the handoff to the platform that executes the agent.
Where technology companies put AI to work
Code Generation & Copilot
Track AI coding-assistant adoption across engineering teams. Measure impact on code review time, PR velocity, and developer satisfaction.
Autonomous CI/CD Agents
Register AI agents in your deployment pipeline, from automated testing to release management. Monitor reliability, governance, and rollback procedures.
Customer-Facing AI Features
Govern AI features embedded in your product. Track EU AI Act obligations for AI that serves your end users, with risk classification and transparency requirements.
AI-Powered Customer Support
Manage AI chatbots and support automation with proper governance. Track resolution rates, escalation patterns, and customer satisfaction metrics.
Internal Knowledge & Documentation
Govern AI tools used for internal documentation, code search, and knowledge management. Ensure data access policies and privacy boundaries are enforced.
Get started in technology
Find where AI creates value
Run the free AI Value Scan, priced with your own numbers. See which engineering, support and operations workflows carry the most value beyond the experiments already running.
Prioritise the opportunities
Compare value, feasibility and evidence on one ranked plan, including what your teams already run. Scale what has a case. Retire what does not.
Deliver at your velocity, governed
Turn decisions into managed change without slowing shipping. One accountable registry covers every agent your teams run, shadow-AI visibility surfaces what IT never approved, and EU AI Act evidence accumulates automatically.
Prove the result
Connect usage data from Copilot, Gemini and Claude to outcomes. Show cycle time, quality and cost movement, not licence counts.
“The best engineering teams ship fast and govern well. These aren't contradictory: with the right platform, governance becomes an accelerator, not a bottleneck.”
How Fronterio serves technology
Put a number on the AI you already run
Free AI Value Scan priced with your own numbers. See where AI creates real leverage, beyond the experiments, in minutes.