Run your AI programme from one platform, not eleven tabs
You're the one responsible for making AI work across the business. Fronterio is your Design → Govern → Prove platform from day one — Frontier Firm Designer for the operating model, AI Strategy OS for strategy execution, Agent Governance + Autopilot for the EU AI Act, Customer Memory Engine for predictive signals, and the Agent App Store for templates that ship in minutes.
Strategy OS primitives that read each other — Canvas, Roadmap, OKRs, Workshops, Board Pack
Phase Living Journey — Assess, Prioritize, Build, Govern, Measure, Iterate
Context-aware AI Consultant messages per user per month (Pro)
How Fronterio works for AI leads
As AI Strategy Lead, you own the full lifecycle — assess readiness, reshape the operating model, prioritise use cases, govern agents, track adoption, and prove business impact. Fronterio is built for exactly this workflow. Every module feeds the next. Nothing lives in a separate tool.
Start with the AI Readiness Assessment to establish your baseline. The Frontier Firm Designer picks up from there and reshapes the operating model around AI-native workflows — AI map of every function, role redesigns, capability gaps, 90-day sequencing. McKinsey-grade output, hours not months.
Your Strategy OS composes itself. Canvas → Roadmap → OKRs → Async Workshops → Board Pack, each AI-drafted, each editable, each reading the one before. You show up to executive reviews with one living artifact instead of three diverging ones. You spend your time on judgement, not reconciliation.
As agents go live, the Governance module tracks every one — risk classification, approval workflows, EU AI Act compliance, monitoring. The nightly Autopilot auto-evidences six of the eight Article 26 deployer obligations. The Shadow AI Detector catches the tools teams are using without your knowledge. The Agent App Store gives you production-tested templates to adopt in minutes.
The Customer Memory Engine ties it all together. Every platform signal — assessment, agent proposal, task completion, metric entry — becomes memory. Memory becomes recommendations. Recommendations surface in Mission Control. You walk into leadership meetings with the data already telling you what to do next.
The difference for AI leads
Without Fronterio
- Strategy in a deck, roadmap in Jira, OKRs in a sheet, board pack rewritten quarterly
- No structured framework for operating-model redesign — consultants or nothing
- Manual governance tracking and compliance documentation across spreadsheets
- Adoption signals scattered across tools — no way to see the whole picture
With Fronterio
- One connected Strategy OS tree — five primitives that read each other
- Frontier Firm Designer productises operating-model work in hours
- Nightly Autopilot auto-evidencing six of eight Article 26 obligations
- Customer Memory Engine + Mission Control surface recommendations from every signal
Your toolkit
Frontier Firm Designer + Strategy OS
Redesign the operating model around AI-native workflows, then compose Canvas, Roadmap, OKRs, Workshops, and Board Pack as one connected tree. Judgement-grade tooling, productised.
Agent Governance + Autopilot
Risk classification, approval workflows, EU AI Act deployer obligations, guardrail enforcement. The Autopilot auto-evidences six of eight Article 26 obligations nightly — you review, you don't draft.
Customer Memory Engine
Signals → memory → recommendations → Mission Control. Predictive cohorts, adoption trajectories, at-risk customers. The programme tells you what to work on next.
Async Workshops + Agent App Store
Five executive workshop templates to unblock decisions asynchronously. Agent App Store with production-tested templates you adopt in minutes. Shipping speed, not planning speed.
From assessment to board pack in one tree — the Strategy OS you'll actually use
You run AI adoption inside your company. You've seen what happens when strategy lives in a consulting deck, OKRs live in a spreadsheet, the roadmap lives in Jira, and the board pack gets rewritten every quarter. Fronterio's AI Strategy OS makes all five primitives read each other: Canvas → Roadmap → OKRs → Workshops → Board Pack, each AI-drafted, each editable, each reading the one before. You show up to executive reviews with one living artifact instead of three diverging ones. You spend your time on judgement, not reconciliation.
Explore the Strategy OSYour AI programme in four phases
Assess + design
Run the AI Readiness Assessment to score your organisation across five dimensions. Use the Frontier Firm Designer to reshape the operating model around AI-native workflows.
Ratify the Strategy OS
AI drafts your Canvas from the assessment. Ratify it; the Roadmap, OKR Cascade, and first Workshop plan generate downstream. One tree, not four silos.
Build + govern
Adopt Agent App Store templates, run guided Implementation Guides, and deploy agents through the governance pipeline. Autopilot handles the EU AI Act paperwork overnight.
Measure + iterate
Track adoption across Copilot, Gemini, and Claude. Tie it to before/after business metrics. The Customer Memory Engine tells you which cohorts to double down on and which to rescue.
“I was managing our AI programme with spreadsheets, Notion, and weekly status emails. Fronterio replaced all of it — and added the Strategy OS, the Autopilot, and the memory layer I couldn't build myself.”
Take control of your AI programme
Start with a free assessment and see the full platform in action.