AI opportunity and readiness
- Decision-first opportunity discovery
- Process, people, data and architecture maturity
- AI versus rules or conventional automation
- Value, feasibility and risk portfolio
Capabilities / Interactive system
Capabilities that work as a system.
Agila connects six capability domains. Together, they help move a complex challenge from definition through design, delivery and adoption.
Choose a domain to see its capability areas and components. Follow the connections to understand what else the work may depend on.
- 6
- Domains
- 24
- Capability areas
- 100
- Capability components
Interactive capability system
Choose a domain. Follow the connections.
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Browse the full list
Browse the complete capability list.
Open any domain to see its capability areas and components. Use the list to scan the whole system at your own pace.
01AI, data and analytics4 capability areas
Find where AI and analytics can improve real work, then put the right data, controls and operating foundations in place.
Data foundations, engineering and governance
- Ownership and stewardship
- Quality, profiling and exception handling
- Canonical models, lineage and access
- Source contracts, pipelines and operational handover
Analytics and decision systems
- KPI trees and metric definitions
- Executive and operational dashboards
- Performance diagnostics and scenario analysis
- Management cadence and decision follow-through
Governed agentic workflows and operating systems
- Agentic architecture
- Harness engineering
- Graph engineering
- Loop engineering
- Context, memory and knowledge
- Agents, skills, tools and applications
- Evaluation, evidence and governance
- Observability, resilience and recovery
02Business and operating-model transformation4 capability areas
Connect strategy to processes, roles, investment choices and adoption so that change works beyond the technology layer.
Discovery and current-state framing
- Sponsor and decision-owner mapping
- Pain and economic-consequence framing
- Stakeholder, constraint and dependency mapping
- Outcomes and acceptance criteria
Capability and process design
- Capability and value-stream mapping
- Current-state and target-state processes
- Roles, handoffs and controls
- Requirements and traceability
Value cases and roadmaps
- Investment value, cost and total-cost framing
- Scenario and sensitivity analysis
- Value, feasibility and risk prioritisation
- Roadmap and investment sequencing
Operating model and adoption
- Decision rights and accountability
- Organisation and service-delivery roles
- Scorecards, cadence and management routines
- Adoption and knowledge transfer
03Enterprise, solution and integration architecture4 capability areas
Define coherent current and target states, make technology trade-offs clear and give implementation teams designs they can use.
Enterprise and target-state architecture
- Business, data, application and technology views
- Current-state and target-state architecture
- Principles, standards and architecture runway
- Transition states and dependency roadmap
Solution architecture
- Solution architecture descriptions
- Functional and non-functional requirements
- Decisions and trade-offs
- Security, privacy, resilience and operability
Integration and interoperability
- API and service-integration patterns
- Event-driven architecture
- Canonical models and data contracts
- Source-to-target mapping and reconciliation
Platform assessment and design assurance
- Architecture and technical maturity
- Product and user-value maturity
- Requirements-to-design traceability
- Vendor and implementation assurance
04Industrial operations, IT/OT and IIoT4 capability areas
Connect plant, edge, cloud and enterprise environments with attention to operational context, resilience and scale.
Industrial operations and digital manufacturing
- MES, SCADA, ERP and historian context
- OEE, Andon and operator experience
- Process-to-quality and parameter analytics
- Multi-site digital-manufacturing roadmaps
IT/OT architecture and resilience
- Segmentation, zones and conduits
- Edge, plant, cloud and enterprise boundaries
- Availability and failure domains
- Monitoring, backup, recovery and rollback
UNS, MQTT and industrial connectivity
- UNS principles, topic taxonomy and governance
- MQTT and broker architecture
- OPC UA and industrial-system integration
- Payload semantics, quality and lineage
Operational-data and AI readiness
- Operational-data landscape and quality
- Context, units, timestamps and lineage
- Anomaly, predictive and vision opportunities
- Pilot feasibility and controlled scale-out
05Digital products and operating systems4 capability areas
Design and build purpose-built applications, dashboards, integrations and workflows that support a defined business need.
Product discovery and UX
- User, job and workflow discovery
- User journeys and interaction design
- Functional scope and acceptance criteria
- Privacy, multilingual and local-first choices
Applications and dashboards
- Application and service development
- Web and mobile interfaces
- BI and operational dashboards
- Workflow and conversational interfaces
APIs, connectors and automation
- APIs, webhooks and service contracts
- Workplace and collaboration integrations
- CRM, document and business-system connectors
- Messaging and workflow orchestration
Quality, deployment and handover
- Unit, integration and regression testing
- Release pipelines and deployment controls
- Visual QA and accessibility review
- Documentation, handover, support and rollback
06Governance, delivery and adoption4 capability areas
Keep programmes, AI use and implementation work accountable through clear ownership, evidence, assurance and knowledge transfer.
Programme and project delivery
- Scope, work packages and delivery plans
- Risks, assumptions, issues and dependencies
- Stakeholder and governance cadence
- Milestones, acceptance and transition
AI, data and privacy governance
- Responsible-AI principles and risk taxonomy
- Regulatory-workstream framing and specialist escalation
- Data-use, privacy and security decisions
- Vendor neutrality and governance controls
Human authority, evidence and assurance
- Human decision rights and autonomy tiers
- Maker-checker separation and approval gates
- Provenance and public-claim controls
- Tests, audit trails and recovery evidence
Training, adoption and knowledge transfer
- AI literacy and tool selection
- Architecture and industrial workshops
- Playbooks, templates and knowledge assets
- Train-the-trainer, reuse and improvement
This is a navigational capability model, not a fixed service catalogue, delivery promise or statement that every capability is used in every engagement.
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Start with the decision, constraint or operating problem. The relevant capabilities can then be assembled around it.
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