Services
AI & Automation
Practical AI and automation that remove repetitive work, with the right safeguards.
The problem
There is real value in AI and automation, but also a lot of noise. Organisations want to reduce repetitive work and make better use of their information, without creating new risks around data protection, accuracy or cost.
The hard part is choosing the right first use case and building it properly.
What we deliver
- Use-case discovery to find tasks where AI or automation can realistically help
- Workflow automation for repetitive, rules-based processes
- Document and data processing, such as extraction, classification and summarisation
- Assistants grounded in your own content, with access controls
- Evaluation and monitoring so you know how well it works in practice
- Governance guidance covering data protection, human oversight and acceptable use
We work with established cloud AI services and automation platforms, choosing options that meet your data protection and security requirements.
How an engagement works
01
Identify
We shortlist use cases by value, feasibility and risk.
02
Prove
We build a small, measured pilot using your real data, with human review.
03
Productionise
We harden the pilot with security, monitoring and clear ownership.
04
Govern
We document how it works, its limits and how to review it over time.
Illustrative scenario
Triage for a shared enquiries inbox
A shared mailbox receives hundreds of messages a week, and staff sort them by hand before anyone can respond.
ProductDoc would pilot automatic classification and routing on a sample of past messages, measure accuracy with the team, and keep a person in the loop for uncertain cases before rolling it out.
This is an illustrative example of how an engagement could run, not a description of a specific client.
Frequently asked questions
Is our data used to train public AI models?
We design solutions using services and settings that keep your data within agreed boundaries, and confirm data handling terms with you before any data is processed.
How do you check accuracy?
We agree measures up front and test against real examples, keeping human review for decisions that need it.
Where should we start?
Usually with a narrow, repetitive task where the outcome is easy to check. A short discovery session will identify good candidates.
Related services
Data Engineering & Analytics
Reliable pipelines, well-modelled warehouses and lakehouses, and analytics your teams can trust.
Business Intelligence & Reporting
Dashboards and reports built around real decisions, with metrics everyone agrees on.
Cloud & Modernisation
Move ageing systems to the cloud, or modernise what you run, without disrupting the business.
Talk to us about ai and automation
Tell us what you are trying to achieve. We will reply within one working day with a few questions or a suggested next step.