AI_Roadmap_24_Months
FleetOS AI Reveal Roadmap (24 Months)
Unified PRD · Strategy · Build · Copy · Marketing Brief
Purpose of this document This is the single source of truth for how FleetOS introduces intelligence (AI) over 24 months without breaking trust, adoption, or the relationship graph.
This document is written to be handed directly to:
It deliberately avoids hype and focuses on behavioral sequencing.
---
1. Core Thesis (Non‑Negotiable)
FleetOS is a relationship operating system, not a maintenance automation platform.
Intelligence exists to support human judgment under pressure, not replace it.
Everything in this roadmap must satisfy all three:
If a feature violates one of these, it does not ship.
---
2. Definitions (Shared Language)
Relationship
A repeatable service relationship between one fleet and one supplier where that supplier is a legitimate option the fleet would actually call.
Intelligence
Any derived insight from historical behavior, timing, urgency, or patterns.
AI (Internal Definition)
LLM‑assisted systems used only to:
AI is never allowed to:
---
3. Strategic Positioning (External)
What FleetOS is
What FleetOS is NOT
Anchor sentence (marketing & sales):
FleetOS prevents silence when silence is expensive.
---
4. 24‑Month AI Reveal Roadmap (Phased)
---
PHASE 0 — Months 0–3
Product ships:
UX language:
Engineering rules:
User belief:
“This system pays attention.”
---
PHASE 1 — Months 3–6
Product ships:
Example copy:
“Urgent requests are being acknowledged slower than usual.”
Engineering:
User belief:
“It remembers how things normally work.”
---
PHASE 2 — Months 6–9
Product ships:
First subtle acknowledgment:
“Insights are based on your historical activity.”
Engineering:
User belief:
“It can explain itself.”
---
PHASE 3 — Months 9–12
Feature name: Operational Insights
What it does:
Example:
“If you speak to this supplier, you may want to ask about after‑hours coverage.”
Hard constraints:
User belief:
“It thinks with me.”
---
PHASE 4 — Months 12–15
Copy change:
Marketing framing:
User belief:
“I already trust this.”
---
PHASE 5 — Months 15–18
What ships:
Rule: AI suggestions always appear after context.
User belief:
“It helps me decide.”
---
PHASE 6 — Months 18–21
Allowed automations:
Consent model:
User belief:
“I am in control.”
---
PHASE 7 — Months 21–24
End state:
Intelligence is assumed, not advertised.
---
5. Product Guardrails (Never Break)
❌ Auto‑dispatch ❌ Auto‑approval / rejection ❌ Supplier rankings ❌ Price enforcement ❌ Black‑box actions ❌ Surprise behavior
---
6. Engineering Governance (For Claude Code)
AI Read Access
AI Write Access
Every AI output must include:
---
7. Pricing Alignment
---
8. Marketing Evolution
Early website copy
Mid‑stage
Late‑stage
Never:
---
9. Success Metrics (Per Phase)
---
10. Final Principle (Print This)
Trust creates data. Data enables intelligence. Intelligence enables automation.
Never skip steps.
---
11. Instructions for Claude Code
---
END OF BRIEF
Here’s a clear, executive-level summary of our entire conversation, distilled into the core ideas, decisions, and outcomes. Think of this as the “what we figured out and locked” version.
---
FleetOS — Conversation Summary
1. The Core Insight (What You’re Building)
You are not building:
You are building:
A relationship operating system for fleet service work under pressure.
FleetOS exists to prevent:
One-line truth we aligned on:
FleetOS prevents silence when silence is expensive.
---
2. Market Reality (Validated)
Safer framing we agreed on:
“The majority of mobile and on-demand fleet repairs are handled by small, independent operators running with little to no modern software.”
---
3. How Fleets Actually Request Service (Ground Truth)
Key product mantra:
“Same speed as WhatsApp. Less chasing.”
---
4. Product Architecture (Locked)
Core object model
This architecture:
---
5. Growth Model (The Big Realization)
FleetOS does not grow linearly by users. It grows by importing existing business graphs.
Every new node brings edges:
This creates edge compounding, not simple user growth.
Correct mental model:
Value ∝ Fleets × Suppliers × Relationships
This is why Metcalfe-style effects apply — but faster and more predictable than social networks.
---
6. Requests, Scale, and Infra (Math Done)
Conclusion:
UX, trust, and supplier response quality are the bottlenecks — not infrastructure.
---
7. Pricing (Final Decision)
You explicitly did not want 5 tiers. We locked:
Pricing model
Free includes:
Pro includes:
Pricing philosophy:
Coordination should be free. Clarity is worth paying for.
---
8. Competitive Clarity (Fleetio Question Answered)
Fleetio:
FleetOS:
Anchor comparison:
Fleetio manages maintenance as procurement. FleetOS manages maintenance as relationships under stress.
You are not building another horse, as long as you avoid:
---
9. AI Strategy (Why We Were Careful)
You challenged why I was hesitant on AI. The answer we locked:
Final agreement:
---
10. 24-Month AI Reveal Roadmap (Locked)
We produced a full roadmap that sequences:
Core rule:
If AI acts before the human understands, it’s too early.
---
11. Final Deliverables Created
You now have:
---
12. The One Sentence That Sums It All Up
FleetOS separates responsibility (relationships), work (requests), execution (assignments), and intelligence (events) — so it can scale trust before it scales automation.
That’s what we built together in this conversation.
2️⃣ Public Manifesto: “Intelligence, Not Automation”
Intelligence, Not Automation
We believe coordination is a human problem first.
What Intelligence Means to Us
What Automation Means to Us
Why This Matters
Our Promise
The Future We’re Building
One-line version (for the homepage footer)
Last updated
Was this helpful?