Unified AI accelerator
Build an enterprise that can understand — and act.
ActionGraph One unifies enterprise knowledge, AI agents, business workflows and industrial intelligence to take AI from isolated experimentation to secure, measurable execution.
Sense. Understand. Decide. Act. Learn.
Core proposition
Connect knowledge. Orchestrate intelligence. Execute action.
Unlike isolated copilots or point AI tools, ActionGraph One provides a complete architecture for building, deploying and governing enterprise AI solutions through a single platform.
Platform architecture
Five integrated engines.
AgentGraph
Orchestrates enterprise AI agents
ContextGraph
Gives AI trusted enterprise context
ActionMesh
Connects intelligence to execution
GraphForge
Powers Industrial AI
TrustFabric
Governs the entire platform
How it works
From signal to governed action.
- 01
Sense
Connect structured and unstructured information from enterprise applications, machines, documents, sensors and external sources.
- 02
Understand
Transform fragmented information into contextual enterprise knowledge using semantic models and knowledge graphs.
- 03
Reason
Deploy specialised AI agents that analyse situations, evaluate alternatives and recommend decisions.
- 04
Act
Execute approved actions across business applications, workflows and industrial environments.
- 05
Learn
Monitor outcomes, agent performance and user feedback to continuously improve decisions.
Unified capabilities
One platform, the full AI surface area.
Industry solution packs
Pre-mapped to how your sector actually operates.
Manufacturing
- Predictive maintenance
- AI quality inspection
- Production optimisation
- Engineering knowledge assistant
- Material-flow intelligence
- Energy optimisation
- Factory digital twins
Healthcare and life sciences
- Clinical-document generation
- Regulatory intelligence
- Research knowledge assistant
- Patient-service agents
- Pharmacovigilance automation
- Trial-data analysis
Banking and insurance
- Fraud and anomaly detection
- Intelligent underwriting
- Claims automation
- Financial-service copilots
- Regulatory monitoring
- Customer-service agents
Supply chain and logistics
- Demand forecasting
- Inventory optimisation
- Shipment-risk prediction
- Logistics control tower
- Warehouse intelligence
- Autonomous exception management
Government
- Citizen-service copilots
- Intelligent case management
- Policy and regulatory intelligence
- Secure document processing
- Benefit and eligibility automation
- Sovereign AI deployment
Accelerator components
Reusable assets that shorten implementation.
Engagement model
A sequenced path to production.
| Phase | Duration | Output |
|---|---|---|
| Discover | 2–3 weeks | AI maturity, prioritised use cases and value case |
| Prove | 4–6 weeks | Functional accelerator-based pilot |
| Productionize | 8–12 weeks | Secure, integrated production solution |
| Scale | Continuous | Additional agents, workflows and industry use cases |
Competitive differentiation
Why it holds in production.
One platform spanning knowledge, agents, execution and Industrial AI
Connects AI directly to enterprise workflows — not only chat interfaces
Supports multiple models, clouds and deployment environments
Combines business AI with engineering and operational technology
Provides human oversight for critical decisions
Includes governance and observability from the beginning
Uses reusable industry packs to accelerate time to value
Measures operational outcomes, not merely model performance
Product family
Adopt the platform, or a single engine.
ActionGraph One
Unified platform
AgentGraph
Agentic orchestration
ContextGraph
Knowledge and contextual intelligence
ActionMesh
Integration and workflow execution
GraphForge
Industrial AI
TrustFabric
Governance and observability
ImpactLens
ROI and outcome intelligence
Start here
What should your enterprise be able to do next?
Tell us the outcome you want to achieve. We will help you identify, engineer and scale the right AI solution.