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DeepWeaver

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

  1. 01

    AI Infrastructure

    GPU platform build, training, fine-tuning and inference management.

    Model economics under control, capacity that scales with demand.

  2. 02

    Agentic AI

    Enterprise agent platform, vertical agents, multi-agent orchestration.

    Work completed autonomously, exceptions escalated to people.

  3. 03

    Document Intelligence

    Extraction, classification, validation and approval routing.

    Manual handling removed, straight-through processing at volume.

  4. 04

    Voice AI

    Real-time voice agents, self-service and live handover.

    Enquiries resolved without queues, service hours extended.

  5. 05

    Vision & Video AI

    Event detection, safety and quality inspection, video summarisation.

    Incidents caught in real time, defects and rework reduced.

  6. 06

    Enterprise App Agents

    Agents embedded in the systems of record, MCP-based integration.

    Adoption without retraining, no change to the system of record.

  7. 07

    Data for AI

    Data readiness, lakehouse, feature pipelines and decision reporting.

    Decisions traceable to source, AI-ready data as a standing asset.

  8. 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

Delivered on the full agent stack
  • 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 AI

Start 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.