Services
Build it inside your business
The same systems documented on this site, implemented in your environment — with your team able to run them afterwards.
Business Automation Audit
A structured review of your operational processes identifying what to automate, in what order, and what it is worth.
- Process map of the current state
- Ranked automation opportunities with effort and value estimates
- ROI model you can adjust yourself
- Recommended architecture and tooling
Power BI Dashboard Development
Dashboards built around the decisions they support, on a semantic model that stays fast as data grows.
- Decision framing workshop
- Star-schema semantic model with documentation
- Report pages with a performance budget met
- Row-level security where required
Microsoft Fabric Implementation
Architecture and build for a Fabric platform, with the irreversible decisions made deliberately.
- Architecture decision record
- Medallion implementation with incremental ingestion
- Semantic model and performance baseline
- Deployment pipelines across environments
AI Workflow Development
Design and build of a language-model system with evaluation, cost control and safe failure built in.
- Use case assessment with a go/no-go recommendation
- System design with evaluation strategy
- Working implementation with a golden set
- Cost model and budget controls
Power BI Performance Review
A diagnostic on a slow model, with measured causes and a prioritised fix list.
- Performance Analyzer and DAX Studio measurement across all pages
- Ranked list of causes with measured impact
- Model changes with before and after timings
- Written guidance for your team
Data & AI Architecture Review
An independent read on an existing or proposed architecture, with the trade-offs named.
- Architecture assessment against your actual workload
- Risk register with severity and likelihood
- Cost review and simplification opportunities
- Written recommendations with trade-offs stated
Corporate Training
Delivered training for teams on data engineering, Power BI, Fabric, AI engineering or automation.
- Pre-training skills assessment
- Customised curriculum using your data
- Live delivery, remote or on site
- Exercises and reference materials
How engagements usually start
- 1
A short call
Twenty minutes to understand the problem and say whether this is something worth doing at all.
- 2
A written scope
Deliverables, timeline and price, fixed where the work allows it.
- 3
The work
Weekly written updates. You see progress rather than hearing about it at the end.
- 4
Handover
Documentation and a session with your team, so the thing survives without me.