P1
6–8 weeks
Enterprise A³ Adoption Framework
Readiness, prioritisation and the operating model that makes agents adoptable.
- AI readiness assessment
- Change management
- Governance model
- Centre of Excellence
- Success metrics & KPIs
Readiness scorecard, prioritised roadmap, governance charter
P2
8–12 weeks
Enterprise Agents Foundation
Production-ready agent infrastructure, with security and integration built in.
- Agent platform setup
- Vector database integration
- Security & governance
- Multi-agent architecture
- Integration hub
Production environment, architecture blueprints, two live use cases
P3
12 weeks
Enterprise AgentOps
Complete lifecycle management for agents running in production.
- Monitoring & observability
- CI/CD for agents
- Incident response
- Performance optimisation
- Compliance reporting
AgentOps platform, dashboards, runbooks, pipeline templates
P4
12–16 weeks
Industry Agents Accelerator
Pre-built vertical agents that shorten the path from pilot to production.
- Domain agent library
- Reference data models
- Vertical guardrails
- Regulatory templates
- Deployment blueprints
Vertical agents deployed against the customer's own systems
Delivered on the customer's cloud and models of choice.
AI Infrastructure
GPU platform build, training, fine-tuning and inference management
Outcome
Model economics under control, capacity that scales with demand
Agentic AI
Enterprise agent platform, vertical agents, multi-agent orchestration
Outcome
Work completed autonomously, exceptions escalated to people
Document Intelligence
Extraction, classification, validation and approval routing
Outcome
Manual handling removed, straight-through processing at volume
Voice AI
Real-time voice agents, self-service and live handover
Outcome
Enquiries resolved without queues, service hours extended
Vision & Video AI
Event detection, safety and quality inspection, video summarisation
Outcome
Incidents caught in real time, defects and rework reduced
Enterprise App Agents
Agents embedded in the systems of record, MCP-based integration
Outcome
Adoption without retraining, no change to the system of record
Data for AI
Data readiness, lakehouse, feature pipelines and decision reporting
Outcome
Decisions traceable to source, AI-ready data as a standing asset
AgentOps & Governance
Monitoring, continuous evaluation, audit and compliance reporting
Outcome
Evidence on demand, drift and risk visible before they bite
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