Start with the problem, not the tool

Before recommending new software or automation, we look at how work is done today: where information gets stuck, which tasks repeat, what decisions require better evidence, and what risks a change could introduce.

Where we can help

• Process and workflow review: map a selected process, hand-offs, recurring tasks and avoidable friction.
• Digital and AI opportunity assessment: distinguish useful automation opportunities from tasks that should remain human-led.
• Prioritisation and planning: compare options against business value, effort, dependencies, security and operational risk.
• Research and monitoring design: define which sources matter, what signals to track and how findings should support decisions.
• Microsoft cloud and identity considerations: account for access, permissions, integration and data boundaries when a proposed solution touches Microsoft services.

A focused, evidence-led engagement

We begin with one clearly defined question or process. Depending on the agreed scope, the work can produce a current-state map, a prioritised set of recommendations, success measures, and a practical next-step plan. We make assumptions and constraints explicit rather than promising results before the evidence is available.

Designed to lead to action

If implementation makes sense, we can define a small pilot with a measurable objective and a clear stopping point. If it does not, the recommendation should say so. The aim is to help you make a better-informed decision before committing to a larger change.

What we build

We sell what we have built and can demonstrate. Every engagement starts small, with a measurable goal and a clear stopping point.

1. AI Workflow Audit

A short, fixed-scope assessment of one business process that is repetitive or information-heavy.

• Who it is for: teams drowning in manual, repeated work.
• What you get: a map of the process, the data and integration constraints, a recommendation of what to automate and what not to, and a measurable target.
• Status: Available now.

2. Bounded Pilot

One workflow built end to end, with human review, permissions and error handling.

• Who it is for: teams that finished the audit and want proof before committing further.
• What you get: a working workflow on your tools, results compared with the baseline, documented limits, and a clear recommendation to deploy, improve or stop.
• Status: Available now.

3. Research and Monitoring Briefings

A pipeline that watches the sources you choose, finds relevant developments, and delivers summaries with links back to the evidence.

• Who it is for: teams that track markets, regulation, competitors or technology.
• What you get: a recurring briefing with source links, and a short list of items needing a decision.
• Status: Available as a pilot. We run similar pipelines on our own properties.

Foundation: Microsoft cloud and identity

Permissions, security and integration decide whether an AI system works in production. Our Microsoft cloud and identity background is how we build AI that respects your data boundaries.

Modern Workplace

• Azure Active Directory
• Microsoft Information Protection
• Defender for Endpoint
• Microsoft Endpoint Manager
  – Configuration Manager
  – Windows Autopilot
  – Microsoft Intune
  – Endpoint Analytics
• Defender for Identity
• Office 365
  – Exchange Online
  – SharePoint Online
  – Teams

Hybrid Cloud Management

• Azure Automation
  – Inventory and Change Tracking
  – Desired State Configuration
  – Azure Update Management
• Defender for Cloud
• Microsoft Sentinel
• Log Analytics
• Defender for Endpoint