Software Development
Custom software for the processes that make you different — and integration work for everything else, so your systems stop being islands.
ExploreAI, Data & Intelligent Automation
Automation that removes real work
Start with the processes people already complain about. Readiness, governance and a working pilot beat a strategy document nobody implements.
Overview
Readiness comes before rollout
Copilot and similar assistants surface whatever a user already has permission to see. In an environment where SharePoint permissions have drifted and files are shared broadly by default, that turns a productivity tool into a data exposure event within a week of deployment.
So we begin with readiness: permissions, data classification, retention and licensing. It is unexciting and it is the difference between a successful rollout and an incident report.
Beyond assistants, the automation opportunities in most organisations are mundane and valuable — approvals routed by email, invoices retyped from PDFs, reports rebuilt manually every month. Those are the ones worth doing first.
What changes
Outcomes we are measured on
The point of the work, stated as results rather than product names.
01
Hours returned to the people doing the work
Repetitive approval, data-entry and reporting tasks automated and monitored.
02
A tenant safe for AI assistants
Permissions, sharing and retention reviewed before assistants are switched on.
03
Decisions off a single set of numbers
Reporting consolidated in Power BI rather than assembled from competing spreadsheets.
04
Governance that keeps up
Clear rules on what may be used, with what data, and who is accountable.
Capabilities
What sits inside this practice
Capability areas we design, implement and support. Scope for any engagement is agreed and documented in writing.
AI readiness and adoption
Getting the ground ready.
- AI Consulting
- Microsoft Copilot Readiness
- Copilot Adoption
- Permission and Data Hygiene Review
- Licensing Assessment
- Use Case Identification
- Change and Training Support
Automation
Removing manual steps.
- Business Process Automation
- Workflow Automation
- Power Automate
- Intelligent Document Processing
- Approval Workflows
- System-to-System Integration
- Robotic Process Automation Support
Applications and data
Building the tools around it.
- Power Platform
- Power Apps
- Power BI
- Business Intelligence
- Data Analytics
- Reporting Automation
- Data Modelling
- Machine Learning
Governance
Keeping it defensible.
- AI Governance
- Acceptable Use Policy Development
- Data Classification
- Retention and Sensitivity Labelling
- Access Review
- Output Review Process
- Risk Assessment
How we deliver
A sequence, because order matters here
Each stage produces something you can review before the next one starts.
Identify
Workshops to find the processes with the most manual effort, the most rework or the longest turnaround.
Assess readiness
Data, permissions, licensing and governance reviewed against what the intended tooling will expose.
Pilot
One process, built and measured, with a before-and-after figure you can hold up.
Scale
Extend to further processes with governance, support and monitoring in place.
Questions
The things people ask before signing anything
That is answerable with a readiness assessment rather than a guess. The main gating factors are SharePoint and OneDrive permissions, data classification, licensing, and whether users have been prepared for what the tool can and cannot do.
No, and nobody credibly can. AI assistants produce plausible output that requires human review, particularly for anything financial, legal or customer-facing. We build review steps into the processes we automate rather than pretending the problem does not exist.
Not necessarily. Many useful reports can be built directly against existing systems. A warehouse becomes worthwhile when you need to combine several sources reliably or retain history the source systems discard.
Automating a process that should have been simplified or eliminated first, and building something that depends on one person who then leaves. We document what we build and hand over the ability to maintain it.
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