AI-DLC Maturity Model & Benchmarking Tool
Delivery looks fine on average. Which dimension is one delivery-pressure spike away from failing?
A quarterly Excel workbook (v1.0) for organisations already running AI-DLC, completed by CIOs and VPs Engineering, AI-DLC Coaches, and Programme Managers. It applies staged, CMMI-style maturity levels to six AI-DLC operating behaviours — ritual discipline, context management, gate integrity, tooling coverage, metrics-driven improvement, and organisational scale — across 24 evidence-based criteria. Produces an Overall Maturity Score, a Weakest-Link Flag, and a cross-team Benchmark Comparison for up to 8 teams. Includes a full .docx User Guide. No macros, no code.
Delivered as an Excel workbook with a full User Guide. Download immediately after purchase.
$89 USD · one-time
■ Instant download · ■ No macros · ■ Excel 2016+
The AI-DLC Maturity Model & Benchmarking Tool is a quarterly Excel diagnostic for organisations already operating AI-DLC. It scores 24 evidence-based criteria across six dimensions — ritual discipline, context management, gate integrity, tooling coverage, metrics-driven improvement, and organisational scale — using staged, CMMI-style maturity levels (1 Not Started to 5 Optimised). It produces an Overall Maturity Score, a Weakest-Link Flag naming the dimension needing investment next, and a cross-team Benchmark Comparison for up to 8 teams that flags outliers more than 1.5 levels from the organisational average.
A healthy-looking average can hide a critically weak dimension.
Once AI-DLC adoption is underway, the question stops being whether the organisation is ready to start and becomes how well it is actually operating — and whether that is improving or quietly eroding. Averages are a poor instrument for this. An organisation scoring 4.2 overall with a 2.5 on Human Validation Gate Discipline is not a 4.2 organisation; it is one delivery-pressure spike away from the AI-managed anti-pattern, and a single blended score will not tell leadership where to act.
Coaching effort and investment decisions need to go to the weakest dimension, not be spread evenly across a average score. This tool is built to surface that weak link explicitly, every quarter, across every team.
Six dimensions. Twenty-four criteria. One weakest link.
Score 24 evidence-based criteria across six behaviourally-anchored dimensions using five staged maturity levels. The workbook weights the three behavioural dimensions at 60% combined, because ritual and gate discipline are where AI-DLC practice degrades first — tooling and metrics can be procured.
The Six Maturity Dimensions · 24 Criteria, Evidence-Based ScoringWeights are editable on the Settings tab and must sum to 100%. Score against behavioural evidence, not intent — a ritual that exists in the calendar but is skipped under delivery pressure is Emerging (2), not Managed (4).
- Overall Maturity Score
- A weighted average (1.0–5.0) of the six dimension averages, displayed with its level label. RED below 2.5, AMBER 2.5–3.9, GREEN 4.0 and above.
- Weakest-Link Flag
- The lowest-scoring of the six dimensions, displayed prominently with its score — the tool's most actionable output, since AI-DLC practice degrades from its weakest dimension first.
- Benchmark Outlier
- Any team on the Benchmark Comparison tab whose overall score deviates more than 1.5 maturity levels from the organisational average, flagged OUTLIER — REVIEW for investigation.
Every tab, explained.
One Microsoft Excel workbook (.xlsx) containing six tabs.
Maturity Model vs. the rest of the AI-DLC product line.
This is one instrument in a set of three, each answering a different question at a different cadence. Using the wrong one for the moment you’re in is the most common way governance gaps go unnoticed.
| Instrument | Question It Answers | Cadence |
|---|---|---|
| AI-DLC Adoption Readiness Assessment | Are we ready to start AI-DLC? | One-time gate, before adoption |
| AI-DLC Governance & Metrics Dashboard | Is anything wrong right now — is the methodology still intact? | Weekly or monthly, ongoing |
| Viksya AI-DLC Maturity Model & Benchmarking | How well are we actually operating, and are we improving? | Quarterly, periodic diagnostic |
Built for whoever owns the maturity trend, quarter over quarter.
Overseeing multiple AI-DLC teams and needing a defensible, evidence-based view of practice maturity for steering committee reporting.
Prioritising enablement effort against the specific dimension flagged as the weakest link, rather than spreading coaching time evenly.
Reporting adoption progress to steering committees with a quarterly trend, not a single point-in-time impression.
Running structured, repeatable maturity reviews for clients across multiple teams and engagements.
High-frequency counterpart: the AI-DLC Governance & Metrics Dashboard tracks the weekly/monthly operational pulse this tool's quarterly diagnostic sits above.
View Governance & Metrics Dashboard →Feeds from: the AI-DLC RACI & Governance Gate Design Template — this tool assesses, on a recurring cadence, whether the gate discipline designed there is actually being honoured in practice.
View RACI & Gate Design Template →Precedes this: the AI-DLC Adoption Readiness Assessment confirms an organisation is ready to start before this post-adoption diagnostic becomes relevant. (Placeholder link — product not yet published.)
What makes this a diagnostic, not a checklist.
What this tool is not.
This is strictly a post-adoption diagnostic. It assumes live Bolts, live Mob rituals, and live validation gates to assess.
What you need to run it.
Questions buyers ask before their first assessment.
How is this different from the Adoption Readiness Assessment?
Readiness is a pre-adoption gate — "are we ready to start." This tool is post-adoption and repeat-use — "how well are we operating, and are we improving." The Readiness Assessment is run once before piloting; the Maturity Model is run quarterly against live delivery evidence.
Can I change the dimension weights?
Yes, on the Settings tab. The workbook flags an error if they do not total 100%. Keep weights consistent across teams and across quarters, or benchmark and trend comparisons lose meaning.
Why does the Dashboard show a weak dimension when our average is high?
Deliberately. Averages hide the weakest link, and AI-DLC practice degrades from its weakest dimension first — usually gate discipline or ritual cadence under delivery pressure.
How does the trend strip get its data?
From the Historical Log tab. It reads the four most recent logged rows automatically. Append one row per completed assessment using Paste Special > Values.
Can this be used across multiple teams?
Yes. Each team completes its own workbook instance, one file per team per assessment date. On a designated consolidation copy, enter each team's six dimension scores on the Benchmark Comparison tab, for up to 8 teams.
Is a User Guide included?
Yes. A fully formatted .docx User Guide is included in the download. It covers all six tabs, all 24 criteria and maturity levels, the benchmarking workflow, and re-assessment and versioning guidance.
Find out which dimension is one delivery-pressure spike from failing.
Download, complete the Maturity Assessment tab, and generate your first Dashboard within the hour.
■ Instant download · ■ No subscription · ■ Post-adoption diagnostic — not a readiness gate