ABC Bank EA Maturity Assesment

🏦 ABC Bank – Enterprise Architecture Maturity Assessment & 3-Year Roadmap

Prepared by: Enterprise Architect (You)Objective: Assess ABC Bank’s current EA maturity and define a 3-year roadmap to achieve Level 5 (“Optimized”) maturity across all domains.

🧩 1. Assessment Framework

We used a TOGAF-aligned EA Maturity Model based on six key domains:

1. EA Governance & Organization

2. EA Process & Standards

3. Technology Architecture & Reuse

4. Data & Information Architecture

5. Integration & DevOps Alignment

6. Tools, KPIs & Continuous Improvement

Each domain was assessed on a 1–5 scale:

• 1 – Initial: Ad hoc, undocumented

• 2 – Repeatable: Some process exists, inconsistent

• 3 – Defined: Documented and partially institutionalized

• 4 – Managed: Monitored, metrics-based enforcement

• 5 – Optimized: Continuous improvement and automation

🧭 2. Assessment Methodology

Step	Activity	Input	Output	Tools / Methods
1	Identify stakeholders	Org structure	Stakeholder list (CTO, CIO, CISO, etc.)	Org Chart, HRMS
2	Conduct structured interviews	Questionnaire	Scored responses	MS Forms, Excel
3	Review artifacts	EA Charter, Blueprints, Policies	Evidence validation	SharePoint, Confluence
4	Analyze maturity by domain	Interview + Artifact inputs	Domain maturity scores	Excel dashboard
5	Define target maturity	Business strategy + Digital goals	Target state per domain	Strategy deck
6	Identify gaps & recommend roadmap	Current vs Target	Gap list + 3-year roadmap	Miro, Power BI

📊 3. Current vs Target EA Maturity (Kotak Bank)

Domain	Current Level	Target Level	Gap	Key Observations
EA Governance & Organization	3	5	3	EA function exists informally under CIO; no formal charter or ARB
EA Process & Standards	3	5	2	Some reference architectures exist, but enforcement inconsistent
Technology Architecture & Reuse	3	5	2	Multiple tech stacks, lack of approved patterns and reuse catalog
Data & Information Architecture	3	5	2	Partial data governance, no enterprise-wide lineage or metadata mgmt
Integration & DevOps Alignment	2	5	3	CI/CD exists, but EA checks not embedded in pipelines
Tools, KPIs & Continuous Improvement	1	5	4	EA artifacts stored manually (SharePoint), no KPIs or dashboards

📈 Overall EA Maturity: 2.2 → Level 3 (Repeatable)🎯 Target: Level 5 (Optimized)

🔍 4. Key Gaps Identified (with Examples)

Domain	Gaps	Evidence
Governance	No formal EA Charter, ARB ad hoc	No record of periodic EA review meetings
Standards	Multiple Java + .NET versions used, inconsistent API security standards	Reference docs outdated
Technology Reuse	Lack of common service patterns or reusable libraries	Duplicate “Customer Service” across domains
Data	Data dictionary not linked to metadata management	Manual Excel sheets for data ownership
DevOps	EA validation not automated in CI/CD pipelines	Azure DevOps pipeline has no EA policy gate
Tooling & KPIs	No central EA repository; no visibility into EA metrics	Artifacts distributed across SharePoint and emails

🚀 5. Three-Year EA Maturity Roadmap (ABC Bank)

Year	EA Maturity Focus	Key Initiatives	Deliverables	KPIs / Success Metrics
Year 1 – Foundation & Sponsorship	Establish EA governance and visibility	• Secure CTO sponsorship • Define & approve EA Charter • Form ARB and EA CoE • Create initial reference architectures (Microservices, API, Data) • Select EA repository (LeanIX / Bizzdesign)	• Approved EA Charter • ARB monthly governance calendar • 5 baseline reference architectures • EA Repository live	• ARB formed • 80% of new projects reviewed by EA • 100+ artifacts onboarded
Year 2 – Integration & Standardization	Integrate EA into delivery lifecycle	• Embed EA guardrails in DevOps (policy as code) • Define architecture KPIs • Build Capability Maps linked to applications • Standardize technology stack and reference patterns • Implement Data Catalog and Stewardship model	• EA metrics dashboard • Standard tech reference library • Data Governance framework	• 90% project compliance with EA • 100% data steward assigned • EA dashboard operational
Year 3 – Optimization & Automation	Move to proactive and automated EA	• Automate architecture compliance checks • Link EA metrics to IT scorecard • Continuous improvement via feedback loops • AI-assisted architecture recommendations (e.g., reuse suggestions)	• Automated EA compliance tool • Continuous improvement dashboard • AI-driven pattern insights	• ≥95% architecture compliance • 4.5+ average maturity • EA metrics in enterprise KPIs

🧠 6. Example of Stakeholder Interview Question & Evidence Validation

Stakeholder	Sample Question	Claimed Maturity	Verified Evidence	Final Score
CTO	“Does the bank have an enterprise-wide architecture charter signed off by leadership?”	4	No signed charter found; informal approval email only	2
Head of Delivery	“Do project deliveries go through EA review?”	3	Found 2/10 projects with EA sign-off	2
CISO	“Are security standards integrated into design reviews?”	4	Security checklists exist but not automated	3

📈 7. EA Maturity Dashboard (Example KPIs)

KPI	Current	Target	Source
% of Projects Reviewed by ARB	40%	95%	ARB Tracker
% of Architecture Reuse	10%	60%	EA Repository
% of Automated EA Compliance Checks	0%	90%	DevOps Pipelines
% of Business Capabilities Mapped	25%	100%	Capability Map Tool
EA Governance Review Cadence	Quarterly	Monthly	ARB Calendar

⚙️ 8. Tools & Frameworks Used in Assessment

Category	Tools / Frameworks	Purpose
EA Framework	TOGAF 10, Gartner EA Maturity Model	Structure, scoring model
EA Repository	LeanIX / Sparx EA	Architecture documentation & traceability
Collaboration	Miro / Mural	Workshops & capability mapping
Data Governance	Collibra / Azure Purview	Metadata and lineage management
DevOps Integration	Azure DevOps + SonarQube + Policy-as-Code	Embed EA checks in pipelines
Reporting	Power BI / Tableau	KPI and roadmap visualization

🏁 9. Outcome Expected by Year 3

Area	Current State	Future State
Governance	EA is advisory	EA is a decision-making governance body
Process	Manual architecture reviews	Automated compliance and feedback
Tooling	SharePoint-based artifacts	Centralized, searchable EA repository
Technology	Siloed tech stacks	Unified, reusable technology patterns
Data	Scattered metadata	Centralized governed data ecosystem
Business Alignment	IT-centric	Capability-driven investments and planning

Phase 1 (Year 1): Level 3 → Level 4

Focus: Standardization, Governance, and Measurement

Step	Activity	Deliverables	Tools	KPI
1	Establish EA Sponsorship & CoE	EA Charter, Vision, RACI	EA Charter Template	EA governance launched
2	Define EA Framework & Standards	Reference Architectures, Guidelines	TOGAF, BIAN	# of approved standards
3	Set up Architecture Review Board (ARB)	Review checklist, process	Confluence / Jira	% of projects reviewed
4	Implement EA Repository	Application inventory, Capability map	LeanIX / Sparx	% portfolio documented
5	Introduce EA KPIs	Conformance scorecards	Power BI dashboards	Architecture compliance rate

📊 Outcome: Kotak reaches Level 4 maturity — EA is enforced, measurable, and governed.

Phase 2 (Years 2–3): Level 4 → Level 5

Focus: Automation, Optimization, and Continuous Improvement

Step	Activity	Deliverables	Tools	KPI
1	Integrate EA Governance with CI/CD	Policy-as-code, automated checks	Azure DevOps, Jenkins	Automated compliance rate
2	Build EA Insights Dashboard	Real-time metrics, trend analysis	Power BI, LeanIX	Time-to-approve design
3	Establish Continuous Feedback Loop	Review + improve standards	EA Portal / Wiki	Standards refresh cycle
4	Link EA KPIs → Business KPIs	Cost reduction, risk score	OKR dashboards	Business outcome linkage
5	Introduce AI/ML-based Architecture Advisor	Predictive insights	LeanIX APM, ChatGPT API	Architecture optimization accuracy

📊 Outcome: Kotak reaches Level 5 maturity — EA is self-improving, automated, and business-linked.