Ask your data in plain English. Let agents do the routine work.
We turn structured and unstructured data into answers people can use, with analytics that are retrospective, real-time and predictive, and automate repetitive processes with AI agents that work inside your controls.
What we deliver
Data Analytics, BI and Automation
Data platforms, pipelines and BI modernisation, from unstructured sources to the inputs agents and AI apps need.
Intelligent document processing
Contracts, invoices and forms turned into workflow steps at volume.
Hyperautomation
Agentic process automation with human approval points.
Before AI, and with IPDigital AI
- Business users wait in a queue for reports
- Repetitive processes run by hand
- Data too messy for agents to trust
- Plain-English analytics with governed access, saved reports and scheduled delivery
- Agents handle volume; people keep judgement
- Data readiness work gives agents and analytics trustworthy inputs
Inputs agents can trust
Cloud engineering and data sit under the same Digital line so workplace AI inherits trustworthy inputs, not demo theatre.
Data readiness
Organise access and quality so agents and analytics share trustworthy inputs.
Analytics that close the loop
Retrospective, real-time and predictive views tied to process outcomes.
Bring AI to the data
Cloud when it helps; patterns that reach systems where they already run.
Where should work become agent output?
Start with one workflow, often the service desk or the asset estate, and decide who owns quality after launch.