Most AI adoption advice is one-size-fits-all and aimed at companies that are already past the hard part. "Deploy AI agents across your comp stack" is useless guidance to a team still emailing rep statements as PDFs. What you build next depends entirely on what you have in place today.
This assessment puts you on a five-stage curve and gives you the specific next-90-day moves for your stage. The stages aren't aspirational — they're observed. Most comp teams sit at Stage 1 or 2. Stage 4 is rare and usually overstated. Knowing your real stage is the first move; pretending you're a stage ahead is how you waste a year.
The five stages, in plain language:
- Stage 0 — Pre-AI: Excel is doing the work. AI is a buzzword in the leadership deck.
- Stage 1 — Experimenting: Someone on the team uses ChatGPT for ad-hoc analysis. No standards, no governance.
- Stage 2 — Pilots: One or two repeatable workflows running in a sandbox, with a human reviewer.
- Stage 3 — Production: AI workflows are live, monitored, and integrated with the comp engine. Outputs influence decisions.
- Stage 4 — Embedded: AI is part of how comp ops works end-to-end. Strategic decisions are AI-augmented as the default, not the exception.
How the four dimensions are weighted
Data maturity (35% — heaviest)
The single biggest predictor of how far you can go. A team with structured plan rules, clean attainment data, and a real source-of-truth can leapfrog two stages in a quarter. A team without it cannot, no matter how much budget gets thrown at AI tooling.
Current AI usage (25%)
Where AI actually shows up in your day, not where leadership says it will. One person prompting ChatGPT is Stage 1. Three workflows running on a schedule with audit logs is Stage 3.
Governance readiness (25%)
The thing that gates production deployment. PII handling, human-in-the-loop process, agreed-upon decision rights. Skip governance and your first AI mistake becomes a board-level conversation.
Team skills (15%)
Lower weight because it's the easiest to fix. Hiring or training one prompt-fluent analyst moves you forward fast — but they need data and governance to work with, which is why those weigh more.
Eight multiple-choice questions. Each answer scores 0–3 points. Total range 0–24. Score maps to a stage: 0–4 = Stage 0, 5–10 = Stage 1, 11–16 = Stage 2, 17–21 = Stage 3, 22–24 = Stage 4. The roadmap is generated from the stage and from your weakest dimension — so two teams at the same stage can get different next-90-day plans.
AI Adoption Stage Assessment
8 questions. About 4 minutes. Personalised 90-day roadmap.
ℹ️ How this tool works +
The question it answers: What's the right next move for my comp team's AI adoption — given where we actually are, not where leadership wishes we were?
What to enter: 8 multiple-choice questions across four dimensions (data maturity, current AI usage, governance, team skills). Pick the option closest to your reality. Be honest — overstating your stage produces a roadmap that won't work.
What you'll get back:
- Your current stage on the AI adoption curve (0–4) with a plain-English description
- A visual progression showing where you are and what's next
- A per-dimension breakdown highlighting the weakest area to address
- 3–5 specific workflows to build in the next 90 days, sized to your stage and weakest dimension, each tagged with effort
Sample answers are pre-loaded so you can see the output shape immediately. Edit each question, or hit "Reset to sample" to restore.
Stage thresholds and workflow recommendations reflect Falcon's experience with comp ops teams across industries. Effort estimates assume a team of 2–4 with no dedicated data engineer. Adjust expectations if your team is larger, smaller, or more technical.
For each question, pick the option closest to your reality.
What each stage actually means in practice
Stage 0 → Stage 1: Get one person prompt-fluent
You don't need a strategy yet. You need one analyst with paid ChatGPT or Claude access spending two hours a week on real comp questions. That single person becomes the reference point for everyone else's experimentation.
Stage 1 → Stage 2: Pick one repeatable workflow
The trap is doing 12 things badly. Pick one — anomaly detection, statement drafting, or quota analytics — and run it weekly for a quarter. The discipline of repeating it surfaces the data and governance gaps you'd otherwise miss.
Stage 2 → Stage 3: Add the human-in-the-loop and the audit log
Pilots become production when you can answer two questions: who reviewed the AI's output before it went live, and where's the log of every prompt-and-response in the period? Until both exist, you're piloting indefinitely.
Stage 3 → Stage 4: Integrate, don't just deploy
Stage 4 is the rare team where AI is woven into the comp engine, the rep portal, and the planning cycle — not bolted on as a separate workflow. Most teams that claim Stage 4 are actually a strong Stage 3 with marketing.
You cannot skip stages without paying interest later. Teams that try to jump from Stage 1 to Stage 3 by buying a vendor solution end up with a product they can't trust because the foundation isn't there. The roadmap below moves you one stage at a time on purpose.
Ready to build the roadmap?
We help comp teams move from one stage to the next without skipping the foundations. Talk to us about your current stage and the next 90 days.
Book a 20-minute consultation →FAQ
Most maturity assessments inflate question count to look rigorous. The variance you're trying to detect — what stage you're at — only takes a handful of well-chosen questions. Eight is enough; more would just produce more decimal places of false precision.
The weighted total wins for your headline stage, but the dimension breakdown matters more for the roadmap. A team strong on data but weak on governance gets a different 90 days than a team strong on governance but weak on data — even at the same stage.
Every quarter. AI adoption moves fast and your stage can drift in either direction — you can advance with one good hire, and you can regress when a critical workflow owner leaves. Quarterly reassessment keeps the roadmap calibrated.
Show them this assessment with the honest answers. Stage 1 to Stage 3 in six months is possible only if data and governance work runs in parallel from week one — and only if you accept that the first production workflow will be narrow on purpose. Use the roadmap as the negotiating document.