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Integration Maturity Scan
Assess your organization's
readiness for integrations.
Take a quick quiz with 15 easy questions to see how your organization stacks up in areas like Tech & Architecture, Operations, Security, Business Agility, AI, and Innovation. You'll get a snapshot of what to do next and a clearer idea of the timeline ahead.
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Integration Maturity Scan
Technology & Architecture
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What type of integrations do you mainly use?
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Integration Maturity Scan
Technology & Architecture
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How would you describe your system landscape?
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Integration Maturity Scan
Technology & Architecture
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How scalable are your current integrations?
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Integration Maturity Scan
Operations & Data Governance
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How do you currently monitor and manage integrations?
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Integration Maturity Scan
Operations & Data Governance
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How quickly can you identify and resolve integration failures?
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Integration Maturity Scan
Operations & Data Governance
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How often do data errors, mismatches, or quality issues occur between systems?
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Integration Maturity Scan
Security & Compliance
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How do you manage security and compliance across integrations?
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Integration Maturity Scan
Security & Compliance
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How well do your integrations support regulatory requirements (GDPR, HIPAA, SOX, etc.)?
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Integration Maturity Scan
Security & Compliance
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How accessible is consistent, real-time data across your organization?
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Integration Maturity Scan
Business Agility & AI-Driven Enablement
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To what extent does your integration strategy support your business strategy?
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Integration Maturity Scan
Business Agility & AI-Driven Enablement
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How satisfied are business stakeholders with integration team capabilities and delivery?
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Integration Maturity Scan
Business Agility & AI-Driven Enablement
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How ready are you to support data-driven and AI-powered business initiatives?
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Integration Maturity Scan
Process Maturity & Innovation
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How are integration projects delivered in your organization?
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Integration Maturity Scan
Process Maturity & Innovation
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What level of business stakeholder involvement exists in integration initiatives?
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Integration Maturity Scan
Process Maturity & Innovation
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How easy is it to connect a new application or system to your IT landscape?
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Integration Maturity Scan
Your results are
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Integration Maturity Scan
Your results
1
Technology & Architecture
Initial
Current State
Your integration approach is fragmented with predominantly manual processes and disconnected legacy systems. Custom point-to-point connections create technical debt and limit scalability.
Immediate Actions
- Inventory all existing integrations and system dependencies
- Select and pilot a cloud-based iPaaS platform for your top 3 critical integrations
- Establish basic integration documentation standards
Recommended Next Steps
- Develop a 3-year integration platform roadmap
- Begin migrating manual file transfers to automated API-based integrations
- Create reusable integration templates for common patterns
- Invest in team training on modern integration approaches
Expected Timeline
6-9 months to establish foundation and complete initial platform implementation
1
Technology & Architecture
Developing
Current State
You've adopted some integration tools and have a mix of legacy and modern systems. However, integration approaches are inconsistent, and scalability remains a challenge due to point-to-point complexity.
Immediate Actions
- Consolidate integration efforts onto a unified platform (iPaaS/ESB)
- Document and refactor your most complex point-to-point integrations
- Implement integration design patterns and reusable components
Recommended Next Steps
- Modernize legacy system connectivity through API wrappers or adapters
- Establish an integration architecture review process
- Begin exploring event-driven architecture patterns
- Create a technical debt reduction plan for legacy integrations
Expected Timeline
9-15 months to achieve platform consolidation and standardization
1
Technology & Architecture
Advanced
Current State
You have a solid integration platform and a balanced system landscape. Most integrations are standardized and scalable, though opportunities exist for further modernization and automation.
Immediate Actions
- Implement event-driven architecture for real-time data flows
- Upgrade remaining point-to-point integrations to platform-based
- Enhance integration scalability with auto-scaling capabilities
Recommended Next Steps
- Migrate remaining legacy systems to modern APIs
- Implement API management and governance
- Develop cloud-native integration patterns
- Create self-service integration capabilities for developers
Expected Timeline
12-18 months to achieve full platform maturity and cloud-native architecture
1
Technology & Architecture
Leading
Current State
Your integration architecture is modern, cloud-native, and event-driven. Systems are fully connected, scalable, and positioned to support rapid innovation and emerging technologies.
Immediate Actions
- Optimize platform performance and cost efficiency
- Implement advanced patterns (saga, CQRS, event sourcing)
- Extend event-driven capabilities to edge and IoT scenarios
Recommended Next Steps
- Develop integration-as-a-service for business ecosystem partners
- Implement AI-driven integration optimization
- Create innovation lab for emerging integration technologies
- Share best practices through industry leadership
Expected Timeline
Continuous optimization with 6-12 month innovation cycles
2
Operations & Data Governance
Initial
Current State
Integration monitoring is reactive or non-existent. Issues are discovered by end users, leading to prolonged downtime and frequent data quality problems that impact business operations.
Immediate Actions
- Implement basic centralized logging for all critical integrations
- Set up alerts for integration failures in top 5 business-critical flows
- Create an incident response playbook for integration issues
Recommended Next Steps
- Deploy integration monitoring dashboards with key health metrics
- Implement data validation rules at integration points
- Establish daily data quality checks and reporting
- Create root cause analysis process for recurring issues
Expected Timeline
3-6 months to establish basic monitoring and data quality practices
2
Operations & Data Governance
Developing
Current State
You have basic monitoring in place, but issue resolution is still largely manual. Data quality issues occur regularly, requiring significant effort to investigate and remediate.
Immediate Actions
- Upgrade to centralized monitoring platform with automated alerting
- Implement message tracking and correlation across integration flows
- Deploy data quality monitoring with automated validation rules
Recommended Next Steps
- Create automated remediation scripts for common failure scenarios
- Implement end-to-end transaction tracking and business metrics
- Establish data governance policies and stewardship roles
- Deploy master data management for critical entities
Expected Timeline
6-12 months to achieve comprehensive monitoring and improve data quality
2
Operations & Data Governance
Advanced
Current State
You have strong monitoring with automated alerts and can quickly identify most issues. Data quality is generally good, with occasional problems that are rapidly addressed.
Immediate Actions
- Implement predictive monitoring with anomaly detection
- Deploy self-healing capabilities for common failure patterns
- Enhance data quality with AI-driven validation and cleansing
Recommended Next Steps
- Implement full observability with distributed tracing
- Create business impact dashboards linking technical metrics to KPIs
- Deploy real-time data quality monitoring and alerting
- Implement automated data lineage and impact analysis
Expected Timeline
9-15 months to achieve full observability and proactive operations
2
Operations & Data Governance
Leading
Current State
Your operations are highly automated with self-healing capabilities and real-time issue detection. Data quality is exceptional, with proactive monitoring preventing most issues before they impact the business.
Immediate Actions
- Optimize self-healing algorithms with machine learning
- Implement predictive analytics for capacity planning
- Deploy advanced data quality AI for anomaly detection
Recommended Next Steps
- Create AIOps capabilities for autonomous operations
- Implement chaos engineering for resilience testing
- Develop predictive data quality models
- Share operational excellence practices across the industry
Expected Timeline
Continuous improvement with 3-6 month optimization cycles
3
Security & Compliance
Initial
Current State
Security practices are basic and inconsistent across integrations. Compliance is largely manual, creating significant audit risk. Data silos prevent organization-wide access and visibility.
Immediate Actions
- Audit all integration security practices and identify gaps
- Implement centralized authentication (OAuth 2.0/SAML) for all integrations
- Encrypt sensitive data in transit and at rest
Recommended Next Steps
- Deploy API gateway with centralized security policies
- Implement comprehensive audit logging for compliance
- Create data access governance framework
- Begin breaking down critical data silos with secure APIs
Expected Timeline
6-9 months to establish security baseline and basic compliance
3
Security & Compliance
Developing
Current State
You have centralized authentication and basic compliance features, but manual processes remain. Data accessibility is improving but still limited across the organization.
Immediate Actions
- Implement advanced threat detection for integration endpoints
- Automate compliance reporting and audit trail generation
- Deploy data catalog to improve data discoverability
Recommended Next Steps
- Implement secrets management and key rotation
- Deploy automated compliance scanning and validation
- Create data sharing agreements and access policies
- Implement data masking and tokenization for sensitive data
Expected Timeline
9-15 months to achieve automated compliance and improved data access
3
Security & Compliance
Advanced
Current State
Security is strong with encryption and monitoring. Compliance is largely automated with good audit trails. Data is broadly accessible across the organization with minor delays.
Immediate Actions
- Implement zero-trust architecture for all integrations
- Deploy real-time compliance violation detection
- Enable real-time data access across all business units
Recommended Next Steps
- Implement continuous compliance validation and remediation
- Deploy advanced data loss prevention (DLP) across integrations
- Create federated data governance with business ownership
- Implement dynamic data masking based on user context
Expected Timeline
12-18 months to achieve zero-trust and real-time compliance
3
Security & Compliance
Leading
Current State
Zero-trust security model is in place with continuous compliance validation. Real-time data access is available organization-wide with advanced governance and protection.
Immediate Actions
- Optimize security automation with AI-driven threat detection
- Implement blockchain for immutable audit trails
- Deploy advanced privacy-preserving technologies (homomorphic encryption)
Recommended Next Steps
- Create security-as-a-service for ecosystem partners
- Implement quantum-resistant encryption strategies
- Develop AI-driven compliance prediction and prevention
- Lead industry standards development for integration security
Expected Timeline
Continuous enhancement with 6-12 month security innovation cycles
4
Business Agility & AI-Driven Enablement
Initial
Current State
Integration is viewed as a technical function with minimal business alignment. Stakeholders are dissatisfied with delivery, and the organization lacks the data infrastructure to support AI and analytics initiatives.
Immediate Actions
- Establish regular business-IT integration steering committee
- Conduct stakeholder satisfaction survey to identify pain points
- Assess current data infrastructure and create AI readiness plan
Recommended Next Steps
- Create business capability map linked to integration requirements
- Implement agile delivery methodology for integration projects
- Build foundational data lake or data warehouse
- Begin collecting and standardizing data for AI use cases
Expected Timeline
6-9 months to improve business alignment and begin data infrastructure
4
Business Agility & AI-Driven Enablement
Developing
Current State
Integration efforts are beginning to align with business needs, though still mostly reactive. Stakeholders have basic satisfaction, and you're developing capabilities for data-driven initiatives.
Immediate Actions
- Create integration roadmap aligned with business strategy
- Implement service level agreements (SLAs) for integration delivery
- Deploy real-time data pipelines for priority analytics use cases
Recommended Next Steps
- Establish integration Center of Excellence (CoE) with business representation
- Implement self-service data access for business analysts
- Create data product catalog for AI/ML teams
- Deploy initial AI/ML models using integration data
Expected Timeline
9-15 months to achieve business-IT partnership and enable AI initiatives
4
Business Agility & AI-Driven Enablement
Advanced
Current State
Integration strategy strongly supports business objectives. Stakeholders are satisfied and view integration as an enabler. Good data pipelines support most analytics and AI initiatives.
Immediate Actions
- Transition to business-led integration prioritization
- Deploy advanced analytics and AI for business optimization
- Create self-service integration capabilities for business users
Recommended Next Steps
- Implement integration-driven innovation programs
- Deploy AI-optimized data architecture (feature stores, model serving)
- Create business-friendly low-code/no-code integration tools
- Establish integration as competitive differentiator
Expected Timeline
12-18 months to achieve business leadership and AI optimization
4
Business Agility & AI-Driven Enablement
Leading
Current State
Integration drives business innovation and is fully aligned with strategy. Integration team is seen as a strategic partner, and your AI-optimized architecture enables cutting-edge data-driven initiatives.
Immediate Actions
- Launch integration-enabled business innovation lab
- Deploy advanced AI capabilities (real-time ML, generative AI)
- Create external data marketplace for ecosystem
Recommended Next Steps
- Develop AI-driven business model innovations
- Develop AI-driven business model innovations
- Create thought leadership in business-technology alignment
- Monetize integration and data capabilities as products
Expected Timeline
Continuous innovation with 3-6 month business outcome cycles
5
Process Maturity & Innovation
Initial
Current State
Integration delivery is ad hoc without standards or governance. Business involvement is minimal, and connecting new systems requires significant time and effort.
Immediate Actions
- Document current integration delivery processes
- Create standardized integration project templates
- Establish integration intake and prioritization process
Recommended Next Steps
- Develop integration methodology and best practices
- Create integration design patterns library
- Implement integration governance framework
- Build reusable connector library for common systems
Expected Timeline
6-9 months to establish foundational processes and governance
5
Process Maturity & Innovation
Developing
Current State
Integration delivery has some standardization but is inconsistent. Business involvement is growing but still limited. New system connections take days to weeks.
Immediate Actions
- Establish Integration Center of Excellence (CoE)
- Implement standardized delivery methodology across all teams
- Create business stakeholder engagement model
Recommended Next Steps
- Deploy integration governance with architecture review board
- Deploy integration governance with architecture review board
- Implement integration lifecycle management
- Create training and certification program for integration professionals
Expected Timeline
9-15 months to achieve consistent processes and CoE maturity
5
Process Maturity & Innovation
Advanced
Current State
Integration delivery is standardized with strong governance. Business-IT partnership is solid, and new system connections are relatively quick and efficient.
Immediate Actions
- Implement self-service integration portal for developers
- Automate integration testing and deployment
- Enhance business stakeholder collaboration tools
Recommended Next Steps
- Deploy low-code/no-code integration capabilities
- Implement citizen integrator program for business users
- Create API marketplace with self-service onboarding
- Establish integration innovation program
Expected Timeline
12-18 months to enable self-service and automation
5
Process Maturity & Innovation
Leading
Current State
Integration delivery is fully automated with self-service capabilities. Business leads integration strategy, and new systems connect in minutes to hours through standardized approaches.
Immediate Actions
- Optimize automation with AI-driven integration generation
- Expand self-service to ecosystem partners
- Implement autonomous integration management
Recommended Next Steps
- Develop integration platform as product for external customers
- Create AI-assisted integration design and optimization
- Establish integration innovation lab for emerging technologies
- Lead industry standards and best practice development
Expected Timeline
Continuous innovation with 3-6 month enhancement cycles