Digital AI
Agents, documents and decisions, inside the systems you already run.
Digital AI is where the work happens: document intelligence, voice, workflow automation and enterprise agents, built into your systems of record and operated after go-live.
What it means
The Digital AI layer
documents and knowledge, interaction, automation and decisioning — delivered as agents that live inside the enterprise applications people already use.
Outcome
Work completed autonomously, exceptions escalated to people.
Pilots in production, cost per transaction down, cycle time cut.
What we build, and what it delivers
- 01
AI Infrastructure
GPU platform build, training, fine-tuning and inference management.
Model economics under control, capacity that scales with demand.
- 02
Agentic AI
Enterprise agent platform, vertical agents, multi-agent orchestration.
Work completed autonomously, exceptions escalated to people.
- 03
Document Intelligence
Extraction, classification, validation and approval routing.
Manual handling removed, straight-through processing at volume.
- 04
Voice AI
Real-time voice agents, self-service and live handover.
Enquiries resolved without queues, service hours extended.
- 05
Vision & Video AI
Event detection, safety and quality inspection, video summarisation.
Incidents caught in real time, defects and rework reduced.
- 06
Enterprise App Agents
Agents embedded in the systems of record, MCP-based integration.
Adoption without retraining, no change to the system of record.
- 07
Data for AI
Data readiness, lakehouse, feature pipelines and decision reporting.
Decisions traceable to source, AI-ready data as a standing asset.
- 08
AgentOps & Governance
Monitoring, continuous evaluation, audit and compliance reporting.
Evidence on demand, drift and risk visible before they bite.
Delivered on the customer's cloud and models of choice
Where it is already running.
- Conversational banking and servicing agents
- Regulatory compliance agents and evidence trails
- Claims and document processing
- Citizen service automation with live-agent handover
- Procure-to-pay multi-agent systems
- Hyper-personalisation and visual commerce
Agentic AI
Enterprise agents in production.
Packaged engagements with fixed scope and deliverables — from readiness, through a production agent foundation, to AgentOps and industry accelerators.
P1Enterprise A³ Adoption Framework6–8 weeksReadiness, prioritisation and the operating model that makes agents adoptable.
- AI readiness assessment
- Change management
- Governance model
- Centre of Excellence
- Success metrics & KPIs
Deliverable
Readiness scorecard, prioritised roadmap, governance charter
P2Enterprise Agents Foundation8–12 weeksProduction-ready agent infrastructure, with security and integration built in.
- Agent platform setup
- Vector database integration
- Security & governance
- Multi-agent architecture
- Integration hub
Deliverable
Production environment, architecture blueprints, two live use cases
P3Enterprise AgentOps12 weeksComplete lifecycle management for agents running in production.
- Monitoring & observability
- CI/CD for agents
- Incident response
- Performance optimisation
- Compliance reporting
Deliverable
AgentOps platform, dashboards, runbooks, pipeline templates
P4Industry Agents Accelerator12–16 weeksPre-built vertical agents that shorten the path from pilot to production.
- Domain agent library
- Reference data models
- Vertical guardrails
- Regulatory templates
- Deployment blueprints
Deliverable
Vertical agents deployed against the customer's own systems
- User interface
- Application integration
- Agent orchestration
- Tools & APIs
- Agent framework
- Foundation model
- AI infrastructure
Agentic use cases by domain
One platform and one governance layer underneath, four books of work on top.
Financial services
Conversational banking
Servicing and advisory agents across retail channels
Regulatory compliance agents
Automated reporting, filing and evidence trails
Risk assessment
Credit and counterparty risk evaluated on the fly
Claims & document processing
Intelligent intake, validation and settlement routing
Manufacturing
Autonomous quality control
Vision inspection with root-cause suggestions
Digital twin orchestration
Simulated changes tested before they hit the line
Predictive maintenance
Equipment health monitoring and window scheduling
Supply chain optimisation
Inventory, logistics and shortage anticipation
Public sector
Citizen service automation
Enquiry handling, routing and live-agent handover
Policy generation
Drafting and consistency checking against precedent
Case & evidence processing
Summarisation, tagging and workflow routing
Crisis management
Situational synthesis across agencies and feeds
Retail & consumer
Hyper-personalisation
Offers and journeys assembled per customer
Visual commerce
Search, merchandising and content from imagery
Autonomous supply chain
Replenishment and allocation without manual planning
Trade document intelligence
Multi-lingual extraction across trading partners
Next domain
Physical AIStart the conversation
Extending the reach of AI beyond the screen — from the field to the factory floor and everything in between.
Ready to move forward? Let’s talk about your specific needs and how we can help you succeed.
