Enterprise AI Readiness Assessment

Section 1: Organization Profile

Organization Size TOGAF: Business Architecture

Startup (1-50 employees) Early stage, agile, limited formal processes

SMB (51-500 employees) Growing operations, emerging structure

Mid-Market (501-2000 employees) Established processes, departmental structure

Enterprise (2000+ employees) Complex organization, formal governance

Industry Sector

Section 2: Architecture Maturity

Current Architecture State TOGAF: ADM Phase B

Ad-hoc / No Formal Architecture Systems evolved organically, limited documentation

Initial / Project-Based Some architecture work, project-by-project basis

Defined / Standardized Enterprise architecture function exists, standards defined

Managed / Optimized Architecture governance in place, continuous improvement

Technology Stack Modernization TOGAF: Technology Architecture

Primarily Legacy Mainframe, on-premise, limited cloud adoption

Hybrid (Legacy + Cloud) Mix of on-premise and cloud, some modernization

Cloud-First Majority cloud-based, API-driven architecture

Cloud-Native / Modern Serverless, containers, microservices, edge computing

Integration Capability

Siloed Systems Fully Integrated

5

Section 3: Data Maturity

Data Management Maturity TOGAF: Data Architecture

Chaotic / Unmanaged Data scattered, no governance, quality issues

Reactive / Basic Some data management, reactive quality fixes

Proactive / Governed Data governance program, quality standards

Optimized / Data-Driven Advanced analytics, ML-ready data infrastructure

AI/ML Readiness

No AI/ML Initiatives Haven't started exploring AI capabilities

Exploring / POC Stage Running pilots, evaluating use cases

Implementing / Production Some AI in production, expanding use cases

Scaling / AI-First AI embedded in operations, MLOps in place

Data Quality Score

Poor Quality Excellent Quality

5

Section 4: Process Maturity

Process Documentation TOGAF: Business Architecture

No Documentation Processes in people's heads, tribal knowledge

Partial Documentation Some processes documented, often outdated

Comprehensive Most processes documented, regular updates

Optimized & Automated Process mining, continuous optimization, BPM tools

Automation Level

Manual Processes Highly Automated

5

Change Management Capability

Ad-hoc / Reactive Changes happen without formal process

Basic Process Some change control, not consistently followed

Structured Formal change management, CAB in place

Agile / Continuous DevOps, CI/CD, rapid iteration capability

Section 5: Governance & Strategy

AI/Digital Strategy TOGAF: Architecture Vision

No Formal Strategy Opportunistic adoption, no roadmap

Emerging Strategy Initial planning, leadership awareness

Defined Strategy Clear roadmap, budget allocated, KPIs defined

Embedded / Core AI central to business strategy, C-level ownership

Executive Sponsorship

No Sponsorship Strong C-Level Support

5

Budget Commitment

No Dedicated Budget AI initiatives compete with other priorities

Pilot Budget Small allocation for experimentation

Program Budget Multi-year investment commitment

Strategic Investment Significant allocation, board-level priority

Timeline Expectation

Immediate (0-3 months) Ready to start now

Near-term (3-6 months) Planning phase, commitment pending

Medium-term (6-12 months) Future planning, budget cycle dependent

Just Exploring No specific timeline

Your AI Readiness Assessment Results

0

out of 100

Recommended Engagement Tier

Architecture

0%

Data

0%

Process

0%

Governance

0%

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