Independent AI consultancy & managed IT
We find the work where AI can save time, improve a decision, or remove a bottleneck. Then we check the data and risk, build the workflow, and stay involved after launch. The advice is vendor-agnostic, so the tool follows the job.
Vendor-agnostic recommendations · Human review built in · Implementation and ongoing support
A sensible place to start
Beyond AI
Good systems start with clear ownership. We turn slow workflows, scattered tools, and hidden risks into work with a named owner and a practical next step. AI, support, security, and recovery stay connected, so improvements do not create new loose ends.
Vendor-agnostic
The recommendation follows the work, not a software quota.
Four connected services
AI, managed IT, cybersecurity, and resilience work together.
Human checkpoints
Important decisions remain visible, owned, and reviewable.
One support route
A clear place to take the next problem, change, or question.
What we do
Most teams start with one problem and discover that the answer touches more than one system. That is why AI, support, security, and resilience sit together here.
Find the work worth improving, prove it in a focused pilot, then roll it out with secure access, human checks, and a clear measure of value.
02Microsoft 365, Google Workspace, users, devices, onboarding, licensing, backups, and day-to-day help with one clear owner.
03Protect accounts, email, devices, and data with practical baselines, staff awareness, vulnerability reviews, and an incident plan people can follow.
04Turn policies, backups, suppliers, and responsibilities into tested recovery steps and evidence your team can show when it matters.
Where we protect — cybersecurity
Protect the accounts, devices, email, and data your team uses every day, with clear priorities and fixes people can actually maintain.
Where we build — practical AI
Start with the work, not the platform. We check whether AI can save enough time or improve the result before building around it.
Case studies
One format, six complete examples. See the starting point, the work delivered, the practical change, and the evidence or limits before deciding what to test next.
Case study · Solar operations
A practical workflow for turning location, roof, and opportunity information into a clearer proposal starting point for a human sales conversation.
Go Expandia delivery example
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Case study · Lead operations
A lead-qualification workflow built around clear questions, useful handoffs, and human judgement at the right point in the solar sales process.
Go Expandia delivery example
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Case study · Customer support
What an AI-assisted support workflow can look like when approved knowledge, human review, escalation, and quality checks are designed together.
Research-informed case study
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Case study · Knowledge work
A practical model for using AI in research, drafting, and analysis while routing ambiguous work to experienced people for review.
Research-informed case study
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Case study · Office operations
How everyday summaries, records, and reports can become a managed productivity workflow instead of another unused licence.
Research-informed case study
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Case study · Software delivery
A controlled way to use coding assistance for defined work while keeping tests, security review, maintainability, and rollback visible.
Research-informed case study
Read case studyTalk to us
Tell us what is slow, risky, repetitive, or difficult to support. We will help you choose a sensible first step.
01 A short reply from a person, not an automated sales sequence.
02 No need to know which service or platform you need.
03 We will tell you if the first move is smaller than a project.
Knowledge Hub
Managed IT
Managed IT should make work calmer and clearer. Here is what to expect around ownership, onboarding, recurring issues, and improvement.
Read article
Cybersecurity
A sensible first review of accounts, devices, data, backups, staff habits, and incident response—without making security harder to manage.
Read article
AI & automation
The best automation projects start with clear work, exceptions, ownership, and data—not a tool looking for somewhere to be used.
Read articleA straightforward first conversation
No hard sell and no need to choose a service first. Tell us where work is slow, risky, repetitive, or difficult to support.
PB
Your enquiry reaches the people responsible for delivery—not a sales queue.