Part of Data & AI
Applied AI & automation
Put machine learning and automation to work on specific operational problems, with measurable value and people kept in control.
Useful AI starts with a costly, repetitive problem, not with a model. We pick use cases where the data exists and the gain is clear, then build them into the processes people already use.
When to call us. Signs it’s time for this work.
- Teams re-key the same information between systems every day.
- Forecasts for demand, cash or stock rely on guesswork.
- Fraud, churn or credit risk is spotted too late.
- AI pilots impressed in demos but never reached production.
What’s included. Scoped to your context, delivered end to end.
- 01
Use-case discovery and prioritisation
A shortlist of AI and automation opportunities ranked by value, feasibility, data readiness and risk.
- 02
Predictive models
Forecasting, scoring and anomaly detection built on your data and tested against real operating conditions.
- 03
Process automation
Workflow and robotic process automation for rule-based tasks, combined with AI where judgement is needed.
- 04
Deployment and MLOps
Monitoring, retraining and controls so models keep performing once they leave the pilot stage.
How we work. Four phases, with value at every step.
- 1
2–3 weeks
Discover
Workshops with operational teams to surface candidate use cases and check the data behind each one.
- 2
4–6 weeks
Prove
Build a working prototype on real data and measure it against the current way of working.
- 3
6–10 weeks
Industrialise
Integrate into systems and workflows, add monitoring and train the teams who will rely on it.
- 4
Ongoing
Improve
Track performance, retrain when data shifts and move on to the next use case on the list.
What you walk away with
- Prioritised use-case portfolio
- Business case per use case
- Validated prototype
- Production model or automation
- Monitoring and retraining plan
What changes
- Staff time moved from re-keying to judgement.
- Earlier warning on risk, fraud and demand.
- AI that lasts beyond the pilot.
Where we do this work. Sectors where this service matters most.
- Industry & ManufacturingManufacturers building smarter, more resilient and more sustainable operations.
- Financial ServicesBanks, insurers and asset managers modernising for a digital, regulated and increasingly competitive market.
- Healthcare & Life SciencesProviders, payers and life-science companies improving outcomes, access and efficiency.
Common questions.
Is our data good enough for AI?
Often it is good enough for a first use case. We check during discovery and say plainly when data work must come first.
Will automation replace our staff?
Our aim is to remove repetitive work, not people. We plan role changes and training with you, and design processes where people make the final call.
Do we need our own data scientists?
Not at first. We build and run the initial solutions, then help you decide which skills to hire or develop to sustain them.
More in Data & AI. Offerings that often run together.
- Data strategy & governanceDecide which data matters, who owns it and how it is managed, so decisions rest on figures people trust.
- Data platformsDesign and build data platforms that bring scattered sources together, reliably and at a cost you can sustain.
- Analytics & business intelligenceTurn data into dashboards, reports and analysis that leaders read and act on, rather than simply receive.
Discuss Applied AI & automation
Tell us where you are. We’ll tell you honestly whether and how we can help.