A New Methodology from Aragon Research
The Aragon P.A.T.H. AI Framework measures enterprise AI maturity across four capability pillars and places each business unit on a Walk, Jog, or Run trajectory. It answers a question many AI programs never ask directly: is execution capability keeping pace with strategic intent?
Seven questions, about a minute. Returns your Walk, Jog, or Run placement and shows you where ambition has outrun readiness. Free, and no engagement required.
Illustrative. The diagnostic plots your own curves per business unit.
The P.A.T.H. AI Framework is published by Aragon Research, an independent research and advisory firm that has covered enterprise AI for 12 years — through machine learning and deep learning, through conversational AI, and now through agentic agents and assistants. The diagnostic is run by an Aragon analyst.
01 — Where scaling breaks
Neither is a technology problem. Both are sequencing problems, and both are visible in a diagnostic before they become visible in a budget review.
The organization moves from isolated pilots straight to autonomous multi-agent workflows without building the operational layer in between — shared data pipelines, LLMOps validation, governance, and human audit points.
The result is not a slower rollout. It is an unsupported one: agents operating on data no one has certified, in workflows no one can trace.
Escalation gates. Each pillar clears its Jog criteria before Run-phase work is approved, which turns an abstract readiness argument into a scored checkpoint.
Leadership sets a Run-phase ambition while transformation readiness, skills, and change agility sit at Walk. The gap does not show up in a status report — it shows up as executive friction, misallocated spend, and teams asked to deliver against a mandate their infrastructure cannot support.
Scores ambition separately from transformation and orchestration, so the skew between what leadership intends and what the organization can absorb becomes a measured number rather than a disagreement.
02 — The framework
Aragon P.A.T.H. AI maps escalation levels across four capability pillars. Scoring them independently is the point: a pillar at Run alongside a pillar at Walk is the signal, and it is the one a single maturity score hides.
Quantifiable business outcomes and operational leverage — where AI is actually moving a number.
Strategic goals, competitive scaling vision, and stated risk tolerance.
Readiness, change agility, skills, and cultural embedding across business units.
Architectural integration, model control, security standardization, and agent visibility.
Organizations often find the skew only after a scaled rollout has already stalled. Seven questions will tell you whether yours is there now.
Take the 60-Second Self-Assessment03 — What the diagnostic produces
Each one is generated from the same scored assessment, so the roadmap, the gap register, and the vision-versus-execution read never contradict each other.
Scored range per pillar
A step-by-step migration path across maturity tiers, showing the current phase for each pillar and the specific milestone that moves it up.
| Exec | IT | Prod | Ops | Mktg | |
|---|---|---|---|---|---|
| S1 Value | 3.2 | 4.0 | 2.8 | 1.8 | 2.4 |
| S2 Goals | 4.2 | 3.4 | 3.0 | 2.0 | 2.6 |
| S3 Data | 2.4 | 3.8 | 4.2 | 1.6 | 2.0 |
| S4 Security | 1.8 | 4.6 | 3.4 | 2.0 | 1.6 |
| S5 Deploy | 2.0 | 3.6 | 4.0 | 2.6 | 3.0 |
| S7 Agents | 1.4 | 2.2 | 2.8 | 1.2 | 1.4 |
Every diagnostic area scored for every business unit. In the sample above, IT and Security sit in Run while Operations and Marketing remain in Walk on the same security dimensions.
Sample data, shown for illustration.
Plots your coordinate against two independent axes — executive intent and infrastructure maturity, each scored 0 to 150. Distance from the diagonal is the skew.
Sample data, shown for illustration.
Advisory engagements
Both are led by an Aragon analyst. The difference is depth of coverage, not method.
For leadership teams that need a fast, defensible read on where AI maturity actually sits and which active pilots are running ahead of their foundations.
For organizations scaling across multiple business units, where the gaps between departments matter as much as the average.
Common questions
Get started
Every argument about sequence gets easier once there is a scored baseline on the table. Start free, and go deeper only if the result warrants it.
Aragon P.A.T.H. AI is a methodology of Aragon Research, Inc.
Seven questions covering value, board mandate, data architecture, governance, deployment, assistants, and agents. About a minute, and it returns your Walk, Jog, or Run placement.
The full diagnostic scores all seven evaluation dimensions for each business unit, which is where the divergence between departments becomes visible. Delivered as a one-day sprint or a two-day workshop.
