🛡 Patent Pending · NRDC Ready · University of Mumbai

The World's First
Applied AI Maturity
Standard

AIMM™ measures, certifies, and governs AI adoption through 7 structured layers (L0–L6) — from data provenance to ethical institutionalisation. Get your AI$M Index in minutes.

204+
Industries
Adopted
1,188
Companies
Enrolled
18+
Patent
Claims
32
Governance
Annexures
L0 L6 L1 L2 L4 L5 L3
AIMM-Ready Benchmark
Industry avg · active domains
Explore the Portal
📋
AIMM Assessment
Run your AI$M Index score in 4 guided steps. Get layer analysis and benchmark comparison.
🤝
Twinning
Startup & SME governance collaboration. Apply for AIMM Twinning under Annexure A7.2.
📊
Benchmarks
Compare your AI$M against 8 industry domains. See where your organisation stands globally.
🎓
Training & Certification
Foundation · Practitioner · Lead Auditor. Certified by IS360 & University of Mumbai.
🔬
Use Cases
QAT Agriculture & NeuroSync Neurology. Real AI$M deployments with sample data.
📖
About AIMM
Why AIMM exists, the 7-layer framework, AI$M formula, patent & academic anchor.
204Industries Adopted
1,188Companies Enrolled
3AIMM Certified
1.2M+Data Points
Role-Based Access Control

Governed Access — Choose Your Role

AIMM™ INDEX is a governed platform. Every user operates within a defined role with specific permissions matching their function in the certification ecosystem.

🎯
AIMM Assessor
Run and manage assessments for organisations
assessment · results · benchmarks · certificates
⚙️
AIMM Practitioner
Apply AIMM framework within your organisation
assessment · results · benchmarks
🛡
Platform Admin
Full platform access including user management
all modules
🏭
Channel / Industry Partner
Licensed institutions and channel partners
twinning · benchmarks · partners
📋
Lead Auditor
Conduct formal AIMM certification audits
assessment · certificates · annexures
👁
Read-only Viewer
View dashboards and benchmarks only
benchmarks only

Ready to measure your AI maturity?

Complete the 4-step guided assessment and receive your personalised AI$M Index with layer-by-layer improvement recommendations.

Step 1 of 4 25%

Your Organisation

Contextualise your AIMM assessment against the right domain benchmark.

Industry avg72
Assessment Report

Benchmark:
ACI — Algorithmic Correctness Index
Accuracy · Precision · Recall · F1 + Layer blend
SIR — Security & Integration Readiness
Es · Ei · Mp · Cr weighted composite
L0–L6 Layer Breakdown vs Domain Benchmark
Priority Improvement Recommendations
Mapped to AIMM layers · Domain profile · SIR gaps
Projected AI$M After Top 3 Recommendations
Addressing weakest layers by +15 pts each estimates:
Chapter 7 · AIMM Framework · §7.5–7.7

AIMM™ Twinning
for Startups & SMEs

Startups bring technical agility. Established organisations bring governance maturity. AIMM Twinning pairs them — enabling structured collaboration to accelerate AI maturity and build a credible ecosystem without compromising competitive boundaries.

6
Active
Twin Pairs
14
SMEs
Onboarded
8
Startups
Twinned
7
Industry
Domains
AIMM Twinning Ecosystem
AIMM HUB INDUSTRY PARTNER STARTUP AIMM-H SME AIMM-R SME AIMM-M STARTUP AIMM-E Active Onboarding
AIMM provides the neutral governance language
Chapter 7 — §7.5 to §7.7

Three Twinning Models

Each model serves a distinct maturity need. Organisations enter the twinning pathway at the model that best matches their current AI governance state.

🚀
Industry–Startup
Technical agility + Governance maturity
STARTUP Tech Agility AIMM BRIDGE INDUSTRY Gov Maturity

Startups gain structured governance maturity through collaboration with established organisations. The established partner contributes AIMM evidence discipline; the startup contributes innovation speed and technical capability.

Startup learns L0–L6 layer governance
Joint AIMM assessment — shared AI$M benchmark
Confidentiality protected via Annexure A7.2
🏭
Industry–SME
Proportional governance for MSMEs
SME Scaling up AIMM BRIDGE LARGE Enterprise

AIMM remains accessible to MSMEs through proportional governance expectations (§7.2). SMEs are not penalised for early-stage maturity. The twinning arrangement provides a structured roadmap without imposing enterprise-level overhead prematurely.

Risk-aligned maturity expectations for SME scale
Large org mentors SME through L0–L6 layers
Path to AIMM Certification — no enterprise cost
🌐
Multi-Partner
Cross-sector maturity benchmarking
ORG A ORG B ORG C ORG D

Organisations from different sectors benchmark maturity behaviors without sharing sensitive data. AIMM provides the neutral common language that makes cross-sector learning safe, structured, and meaningful (§7.7).

No sensitive data shared between partners
Cross-sector AI$M benchmarks shared safely
Transferable governance practices identified
Live Dashboard

Active Twin Pairs

Twinning arrangements and joint maturity progress across the AIMM ecosystem.

Annexure A7.1

The Twinning Journey — 5 Phases

A structured pathway from application to joint AIMM certification — each phase governed by defined evidence requirements.

Ready to Twin?

Start Your Twinning Journey

Applications reviewed within 5 working days. Matching begins upon NDA signature. No enterprise budget required for Startup and SME pathways.

Domain Benchmarks

Industry AI$M Benchmarks

Compare performance across all AIMM verticals. Your score shown where an assessment has been completed.

AIMM™ Framework · Chapter 1 · Background and Context

Why AIMM Exists

Artificial Intelligence adoption has outpaced organisational maturity. While AI tools and platforms have advanced rapidly, most organisations lack the governance discipline, documentation practices, and performance measurement mechanisms required to deploy AI reliably at scale. AIMM exists to address this imbalance.

The Gap

AI Ambition vs AI Reliability

Fragmented pilots, undocumented models, unclear accountability, and reactive compliance responses have become common symptoms of immature AI adoption. AI can no longer be treated as a discretionary innovation activity — it must be managed as an organisational capability that matures over time.

Existing AI lifecycle frameworks fail to govern development through layer-based maturity checkpoints, provide quantifiable scoring, enable cross-domain compliance, or support advanced scientific and strategic applications.

📊
No Standardised Scoring
No prior framework provides a quantifiable AI maturity index comparable across organisations and industries.
🔒
Isolated Workflows
AI systems deployed without governance layers, audit trails, or ethical oversight mechanisms.
🌍
No Cross-Domain Coverage
Prior frameworks don't cover healthcare, robotics, space science, neurology, or planetary defense AI.
The Solution

The Applied AI Maturity Model (AIMM™)

AIMM is a structured framework designed to guide organisations through progressive stages of AI capability. It integrates governance, data discipline, documentation, performance measurement, and continuous improvement into a unified adoption model — applicable across industries and scientific domains including Space Science and Planetary Defense.

7
Governance Layers
L0 — L6
6
AIMM-XX
Domain Extensions
18+
Patent Claims
NRDC Filed
32
Governance
Annexures
The Quantitative Engine

AI$M Index — Measurable Maturity

The AI$M Index converts maturity concepts into measurable reality. It provides a disciplined mechanism to assess, score, and track AI maturity progression using evidence-based indicators rather than aspirational statements.

AI$M = 100 × √(ACI × SIR)
ACI = ((Accuracy + Precision + Recall + F1) / 4) × (1 − Drift)
SIR = Es×0.35 + Ei×0.30 + Mp×0.20 + Cr×0.15
≥85 Production Ready 70–84 Conditionally Ready <70 Requires Improvement
🛡
Intellectual Property

AIMM™ is a patented framework with 18+ claims filed through NRDC (National Research Development Corporation of India). The AI$M scoring methodology, AIRM+™ sub-framework, and AIMM-XX domain extensions are all protected IP of IS360 Technologies & Services Pvt. Ltd.

●Patent Agent: S. Elango · IN/PA 5355
●Form 2 filed under Patents Act 1970
●Complete Specification submitted
🎓
Academic Anchor

The University of Mumbai provides the academic grounding for AIMM, ensuring conceptual rigour, methodological clarity, and research continuity. This partnership enables AIMM to function as a bridge between applied industry adoption and structured academic inquiry.

●University of Mumbai — Research Anchor
●IS360 Technologies — Industry Translation Partner
●Published framework — Training & Certification Standard
Applied AI Maturity Model (AIMM)

The Authors & Team

Three practitioners who built AIMM from the intersection of industry deployment, systems thinking, and academic rigour — each contributing a dimension the others couldn't replicate.

P
Partha Sarathy Iyengar
Framework Architect
Technology entrepreneur and applied systems thinker. Translates complex digital capabilities into structured, industry-adoptable frameworks. Shapes maturity thinking that aligns business strategy, AI governance, and operational evidence into a cohesive adoption model.
IS360 Technologies & Services Pvt. Ltd. · Chennai
S
Satyanarayanan Raman
Deployment Strategist
Extensive experience in system deployment, documentation discipline, and operational governance. Ensures maturity concepts translate into implementable practices that withstand audit, scale across enterprises, and remain resilient to organisational change.
Industry Systems & Deployment · Chennai
B
Prof. Dr. Balasaheb J. Nagare
Academic Pillar
Academic anchoring for AIMM — ensuring conceptual rigour, methodological clarity, and research continuity. Enables AIMM to function as a bridge between applied industry adoption and structured academic inquiry.
Univ of Mumbai
University of Mumbai · Research Anchor
IS360 Technologies & Services Pvt. Ltd.
Flat A, Mahalakshmi Apartments, Ground Floor,
2/3 Kothval Chavadi Street, Saidapet – 600015,
Tamil Nadu, India

IS360 serves as the industry translation partner for AIMM. Through applied deployments, system-level thinking, and governance discipline, IS360 ensures that AIMM remains grounded in real-world operational realities — spanning agriculture, neurology, manufacturing, education, and space science.

AIMM-Q Agriculture AIMM-N Neurology AIMM-R Robotics AIMM-SS Space
Patent Agent
S. Elango · IN/PA 5355
Academic Partner
University of Mumbai
Contact
info@is360.in
Getting Started

How to Use This Portal

Five steps from registration to your first AI$M score and certification pathway. Under 30 minutes.

1
REGISTER
2
ASSESS
3
RESULTS
4
BENCHMARK
5
CERTIFY
1
Register or Sign In
2 minutes

Click Register Free in the top right. Choose your role — each unlocks different portal capabilities.

Assessor
Run AIMM assessments
Practitioner
Apply AIMM internally
Lead Auditor
Certify organisations
Channel Partner
Resell AIMM services
Not ready to enter your own data?

Load a pre-filled use case to see what a real AI$M report looks like — two real IS360 deployments available as demo profiles.

🌾
Q AgroTrust™ (AIMM-Q)
L3 Managed · AI$M 84
Agriculture · NPK geo-mapping · IIMR research
🧠
NeuroSync ERP™ (AIMM-N)
L2 Repeatable · Beta v1.0
Neurology · EEG/BCI · Paediatric cognitive AI
Chapter 6 · AIMM Framework · Certification Pathway

Training & Certification

AIMM Certification validates observable maturity behaviours rather than technical claims. It confirms that governance structures exist, documentation is maintained, risks are actively managed, and learning mechanisms are in place.

FEES STRUCTURE & CERTIFICATION AUTHORITY
PROGRAMME FEES (INR)
AIMM Foundation
2-day · Online or in-person
₹ 8,500
AIMM Practitioner
4-day · Includes assessment
₹ 18,500
AIMM Lead Auditor
5-day intensive · Oral exam
₹ 32,000
Group discount: 15% for 5+ participants
Academic pricing: Available for universities and research institutions
Startup pricing: Concessional rates for registered startups
International: USD equivalent available — contact IS360
CERTIFICATION AUTHORITY
IS360 Technologies & Services Pvt. Ltd.
Primary certification body and framework IP holder. AIMM certificates are issued under IS360's authority as the registered owner of the AIMM framework (NRDC patent application filed, Form 2 under Patents Act 1970).
Saidapet, Chennai — 600015 · info@is360.in
University of Mumbai
Academic anchor and co-issuer of AIMM practitioner and Lead Auditor certificates. The University of Mumbai provides academic endorsement, ensuring AIMM certification is recognised across industry and academia.
Fort, Mumbai — 400032 · Academic partner since 2025
Certificate validity: Foundation 2 yrs · Practitioner 2 yrs (annual surveillance) · Lead Auditor 3 yrs (annual re-validation)
CPD requirement: 8 hours/year for Practitioner and above
Three Certification Tiers

Choose Your Pathway

Foundation
Level 1
📋
AIMM Foundation
Entry-level certification for practitioners beginning their AIMM journey. Covers AI maturity concepts, the 7-layer architecture, and basic assessment skills. Suitable for all roles.
✓2-day programme (online or in-person)
✓Multiple choice + case study assessment
✓Valid 2 years, renewable
✓Pre-requisite: None
Most Popular
Practitioner
Level 2
⚙️
AIMM Practitioner
For professionals applying AIMM within their organisation or advising clients. Covers assessment methodology, evidence collection, AIMM Index scoring, and governance implementation across L0–L6.
✓4-day programme (online or in-person)
✓Written exam + evidence portfolio review
✓Valid 2 years with annual surveillance
✓Pre-requisite: Foundation or equivalent experience
Lead Auditor
Level 3
🛡
AIMM Lead Auditor
The highest AIMM individual certification. Qualifies holders to conduct formal AIMM certification assessments for organisations, issue AIMM Certificates, and oversee twinning governance arrangements.
✓5-day intensive programme
✓Case-study audit + oral examination
✓Valid 3 years with annual re-validation
✓Pre-requisite: AIMM Practitioner + 2 years experience
WHAT YOU LEARN ACROSS ALL PROGRAMMES
●How to conduct an AIMM assessment using the AIMM Index (AIMMI) framework
●Evidence collection techniques including surveys, interviews, and documentation review
●Computing AI$M scores using the AIRM+™ formula and interpreting band classifications
●Governance design across L0 Data Foundation through L6 Ethics & Institutionalisation
●Integration with ISO standards, DPDP Act, EU AI Act readiness, and enterprise risk frameworks
●Common failure patterns (Pilot Permanence, Tool-Driven Adoption, Over-Reliance on Individuals)
●Twinning governance — structuring Annexure A7.2 charters for Startup and SME arrangements
●Sustaining and scaling AI maturity — preventing regression after certification
Register Your Interest

Fill in your details and we'll contact you within 2 business days with programme dates, fees, and batch availability.

By submitting, you agree to be contacted by IS360 Technologies regarding AIMM training programmes. info@is360.in · Chennai, India
Next Cohort — Enquire Now

Programmes delivered online and in-person from Chennai. Group discounts available for organisations enrolling 5+ participants. Academic and startup pricing available.

Faculty & Domain Expertise

Subject Matter Experts

AIMM faculty and domain leads bring deep cross-sector expertise — from agriculture intelligence and neurology AI to industrial robotics and space science governance.

AIMM CORE FACULTY
P
Partha Sarathy Iyengar
Lead Faculty · Framework Design

10+ years in AI governance, digital strategy, and framework architecture. Leads Foundation and Practitioner training programmes. Domain specialist: AIMM-Q (Agriculture), AIMM-N (Neurology).

AI Governance Framework Design AIMM-Q · AIMM-N
S
Satyanarayanan Raman
Faculty · Deployment & Ops

Specialist in operational governance, documentation discipline, and system deployment at enterprise scale. Leads Practitioner and Lead Auditor evidence-collection modules. Domain: AIMM-R (Robotics), AIMM-E (Education).

Operational Governance Evidence Management AIMM-R · AIMM-E
B
Prof. Dr. Balasaheb J. Nagare
Academic Lead · Research

Full Professor, University of Mumbai. Academic anchor for the AIMM framework — ensuring methodological rigour and research validity. Leads Research and academia-facing training modules. Publishes on AI governance and maturity modelling.

Research Methods AI Ethics Academic Liaison
DOMAIN SPECIALIST FACULTY
Domain leads bring deep sector expertise to AIMM delivery — each responsible for adapting the 7-layer governance framework to their specific industry evidence context.
🌾
AIMM-Q · Agriculture
Q AgroTrust™ Domain

NPK geo-mapping, blockchain traceability, food quality maturity systems, IIMR partnership, and FSSAI/ISO 22000 compliance. POC: AA Millet Foods & Enterprises Pvt. Ltd.

Research Partners: IIMR Hyderabad · NutriHub · IIBS Bengaluru
🧠
AIMM-N · Neurology / BCI
NeuroSync ERP™ Domain

qEEG analysis, BCI paradigm classification (SSVEP/MI/ERP), SLDA projection, PAZ geometry, paediatric cognitive profiling, and CE-IVD / CDSCO / FDA 510(k) pathway governance.

Platform: neurosync-erp.com · Beta v1.0 · AWS EB
🏭
AIMM-R · Industrial Robotics
Manufacturing Domain

Reinforcement-driven motion planning governance, safety rollback protocols, control optimisation, and ISO 10218 / ISO/TS 15066 compliance for Industry 4.0 environments.

Seeking domain lead — apply via faculty programme
🚀
AIMM-SS · Space Science
Planetary Defense Domain

Asteroid classification AI governance, astronomical anomaly detection, trajectory optimisation oversight. AIMM applied to deep-space AI systems and planetary defense missions.

Unique AIMM-XX extension — contact IS360 for details
🎓
AIMM-E · Education
Learning Analytics

Adaptive learning platform governance, cognitive profiling AI maturity, institutional learning analytics, and academic AI ethics frameworks for universities and EdTech organisations.

IIBS Bengaluru MoU — academic integration active
⚕️
AIMM-H · Healthcare
Medical AI Domain

Predictive diagnostics governance, biomedical dataset consent frameworks, rehabilitation analytics AI, and HIPAA / CDSCO / CE-IVD compliance pathway oversight.

Seeking domain lead — Lead Auditor required
ADVISORY BOARD & RESEARCH PARTNERS
IIMR — Indian Institute of Millets Research
Research Partner · AIMM-Q
Hyderabad · Agri AI research anchor · NPK traceability validation
NutriHub, Hyderabad
Research Partner · AIMM-Q
Nutrition science research · Millet product quality validation · FSSAI liaison
IIBS Bengaluru
Academic Partner · MoU Executed
International Institute of Business Study · AIMM training integration · MoU executed April 2026
University of Mumbai
Academic Anchor · Research
Conceptual rigour, methodological clarity, and research validity for the AIMM framework
Become an AIMM Subject Matter Expert

Industry practitioners, academic researchers, and domain specialists can apply to join the AIMM faculty network. Lead Auditor qualification is a pre-requisite for core faculty roles.

Chapter 7 · Industry Adoption & Twinning Models

Partnerships

AIMM operates as a global standard through a network of industry partners, academic institutions, channel resellers, and twinning collaborators. Four structured partnership pathways.

🏭
Industry Partner
Enterprise & Large Organisation

Large enterprises adopt AIMM as their internal AI governance standard and contribute governance templates, use cases, and evidence practices to the broader ecosystem. In return they gain benchmark visibility, ecosystem recognition, and access to twinning mentorship opportunities.

●AIMM Certified Organisation status
●Listed on AIMM benchmark dashboard
●Eligible to mentor Startup/SME twins
●Priority access to new domain modules
🎓
Academic Institution
Universities & Research Organisations

Academic institutions provide conceptual rigour, research validation, and neutral review capability. In Industry–Academia twinning, they anchor the evidence credibility and ensure methodological clarity without imposing academic formality on industry operations.

●Co-publish AIMM research and case studies
●Offer AIMM as credited professional module
●Faculty development and Lead Auditor pathway
●MoU framework — as per IIBS model
🌐
Channel Partner
Licensed Resellers & Consultancies

Consultancies and training organisations licensed to deliver AIMM assessments, training programmes, and certification services in their geographies or industry verticals. All Channel Partners must hold at least AIMM Practitioner certification.

●Licensed to deliver AIMM training
●Access to AIMM assessment toolkit
●Co-branded AIMM certification
●Revenue-sharing on certification fees
🚀
Twinning Partner
Startups & SMEs

Startups and MSMEs gain structured governance maturity through twinning with established organisations. AIMM provides the neutral common language enabling cross-entity collaboration without compromising competitive boundaries.

●Proportional governance — no enterprise overhead
●Matched with established industry mentor
●Joint AI$M benchmarking and evidence review
●Path to certification at SME-appropriate cost
CURRENT ECOSYSTEM PARTNERS
University of Mumbai
Academic Anchor
Conceptual rigour, methodological clarity, research continuity for the AIMM framework
QAT
Q AgroTrust™ (AAMF)
AIMM-Q · L3 Certified
AA Millet Foods — first AIMM-Q certified organisation · QMI Score 84/100
NS
NeuroSync ERP™
AIMM-N · Beta v1.0
IS360 neurotechnology platform — AIMM-N governance applied to EEG/BCI AI systems
IIBS Bengaluru
MoU Executed
International Institute of Business Study — AIMM training integration, academic partnership
IIMR · NutriHub
Research Partners
Indian Institute of Millets Research · NutriHub Hyderabad — AIMM-Q agri AI research
Your Organisation
Join Ecosystem
Apply as Industry, Academic, Channel or Twinning Partner
Live AIMM Deployments · Real Data

AIMM in Action

Two real IS360 deployments — one in agriculture intelligence, one in neurotechnology — showing how AIMM-XX domain extensions govern radically different AI systems under one unified standard.

Q AgroTrust
Q AgroTrust™
AA Millet Foods & Enterprises Pvt. Ltd.
AIMM-Q · Agriculture Domain

Hybrid agri intelligence platform combining NPK geo-mapping, blockchain traceability, digital twinning, and AIMM-Q governance for millet food production in the Cauvery Delta region.

QMM LevelL3 Managed
QMI Score84 / 100
Certificate IDQAT-2026-L3-0441
StandardsISO 22000 · FSSAI
Valid UntilDecember 2027
Research PartnersIIMR · NutriHub
NeuroSync ERP
NeuroSync ERP™
IS360 Technologies & Services Pvt. Ltd.
AIMM-N · Neurology Domain

AI-powered qEEG analysis portal performing BCI paradigm classification, SLDA projection, PAZ geometry analysis, and paediatric cognitive profiling — entirely browser-side with no backend ML inference.

AIMM LevelL2 Repeatable
KSI (ASD profile)0.85 Stable
VersionBeta v1.0 (v2.5.0 portal)
StatusResearch Use Only
Target RegulatoryCE-IVD · CDSCO · FDA 510(k)
DeploymentAWS EB · neurosync-erp.com
AIMM LAYER COMPARISON — QAT vs NeuroSync
Layer Governance Function QAT Score NS Score Evidence — QAT Evidence — NeuroSync
KEY INSIGHT — AIMM-XX DOMAIN EXTENSION

Both Q AgroTrust and NeuroSync use the same AIMM 7-layer governance architecture (L0–L6) and AI$M formula. What differs is the domain-specific evidence within each layer. AIMM-Q applies food safety data lineage and NPK sensor provenance at L0; AIMM-N applies EEG signal quality and patient consent at L0. The governance standard is identical — only the industry context changes. This is the core power of AIMM-XX modularity.