Services
Practical data, reporting and AI services.
Six services covering the full path, from working out where to start to building, embedding and supporting the solution. Use one or several.
01
Data and AI Strategy
Get a clear, honest view of where your data and reporting stand today, and a prioritised plan that balances quick wins against longer-term investment.
What’s included
- Data maturity assessments
- Reporting and analytics roadmaps
- AI opportunity identification
- Business cases, priorities and practical implementation plans
Typical outcome: A plan your leadership team can fund and your people can deliver.
Case study: operational assessment and roadmap for an infrastructure services company
02
Data Architecture and Integration
Build a data foundation that brings your systems together, is governed properly and scales as reporting and AI needs grow.
What’s included
- Microsoft Fabric, Azure, Snowflake and Databricks
- Data warehouses, lakehouses and semantic models
- System integration and data pipelines
- Data quality, governance and security
Typical outcome: One trusted source of data instead of competing spreadsheets and extracts.
03
Power BI and Business Intelligence
Reporting designed around the decisions people need to make, built on reusable models so it’s quicker to extend and easier to trust.
What’s included
- Executive dashboards and operational reporting
- KPI frameworks and reusable reporting models
- Automated report distribution
- Self-service analytics and capability uplift
Typical outcome: Less time compiling reports and more time acting on them.
04
HSEQ and Operational Reporting
Health, safety, environment and quality data is often spread across systems, sites and business units. Bring it together into reporting that shows leaders where risk sits and how performance is tracking.
What’s included
- HSEQ, safety, quality and operational performance reporting
- Donesafe and other operational-system integration
- Assurance reporting, risk visibility and management dashboards
- Reporting for complex, multi-business or multi-site organisations
Typical outcome: Consistent, assurance-ready reporting across the whole organisation.
Case studies: transport group · food manufacturer · steel manufacturer
05
Automation and AI-enabled Applications
Remove repetitive manual work and give teams practical tools that fit the way they work. AI is used only where it improves speed, accuracy or access to knowledge.
What’s included
- Workflow automation
- Internal business applications and portals
- AI-assisted knowledge, process and reporting tools
- Bespoke solutions where off-the-shelf software does not fit
Typical outcome: Hours returned to the business each week, with fewer errors.
Case study: customer reporting portal for a managed IT services provider
06
Delivery Assurance and Ongoing Support
Independent technical advice and hands-on support, whether you’re starting a programme, recovering one or keeping a solution running well.
What’s included
- Independent technical advice
- Delivery oversight and project recovery
- Managed reporting and specialist support
- Training and handover so internal teams can confidently own the solution
Typical outcome: Confidence that the solution will be delivered, owned and maintained.
Let’s talk about the data, reporting or process problem you need to solve.
A short conversation is usually enough to establish whether there’s a quick win, what a sensible next step looks like and whether OQLIS is the right fit.