01
AI readiness
& strategy
Find worthwhile use cases, understand your data and establish what needs to change before investing in AI.
A prioritised roadmap and scoped first pilot
AI. CLOUD. SECURITY. / BY SPACENET-IT
Make AI useful.
Keep it secure.
Turn repetitive work into time well spent. We help businesses adopt AI, connect their knowledge and automate processes — with security built in from the start.
Practical AI. Human oversight. Clear business outcomes.
YOUR BUSINESS DATA
ACCESS &
GUARDRAILS
GUARDRAILS
HUMAN OVERSIGHT
Illustrative delivery model
Microsoft-firstWork with the platforms you have.
Security-ledDefine access before adding intelligence.
Built around your businessStart with a problem worth solving.
Technology we work with
Microsoft 365AzureCopilotEntraPower Automate
01 / What we do
Useful AI starts with
the right foundations.
From the first assessment to day-to-day operation, we turn an AI idea into a scoped, controlled piece of work.
AI readiness
02
Microsoft 365
Copilot
Prepare permissions, information governance and your people for a controlled Copilot rollout.
Readiness, configuration and adoption support
03
AI agents
& automation
Connect repetitive tasks across your systems, with clear ownership and approval before important actions.
A tested workflow with human control
04
Private knowledge
assistants
Help your team find answers in approved business information, with source references and access-aware retrieval.
A scoped assistant for approved knowledge
05
AI security
& governance
Build identity, data protection, evaluation and audit controls into AI delivery — not into a later clean-up.
Clear controls, responsibilities and evidence
06
Managed AI
assurance
Review usage, quality, costs and permissions as your AI services evolve. Keep decisions grounded in evidence.
Ongoing oversight and improvement priorities
Scope, deliverables and commercial terms are agreed before work begins.
Talk through your project02 / AI in the working day
Less busywork.
More room to think.
Start with one process your team knows well. Establish a baseline, test the change and measure whether it helps.
Example use case / Operations
Move the work forward.
Not the admin.
Turn a shared-inbox enquiry into a structured summary, a suggested next step and a draft response. Your team reviews it before anything leaves the business.
Measure: handling time, manual touchpoints and the quality of the reviewed response.
Enquiry → reviewed responseIllustrative workflow
1
Receive an enquiry
A message arrives in an approved shared inbox.
2
Prepare the next step
Summarise, classify and prepare a draft.
3
Review, then act
A named person checks and approves the response.
Approved information sources Explicit access boundaries Human review where it matters
03 / Our approach
Start small.
Prove the value. Then scale.
No platform commitment before the problem is clear. No rollout before the pilot has earned it.
Assess
Understand the workflow, the people and the information involved. Agree the risks, the owner and what success looks like.
Outcome: a clear, costed starting pointPilot
Build a contained solution. Test its outputs, permissions and failure paths against real acceptance criteria.
Outcome: evidence before expansionScale & assure
Roll out what works. Equip the team, document the operation and keep reviewing performance, costs and controls.
Outcome: a service the business can ownYour starting point
Where could AI
help your business?
Three questions to help shape the first conversation. Get a suggested next step without handing over your details.
Answers stay in this page. This is a conversation starter, not a security audit or a certification.
Suggested next step
Discuss this starting point04 / Why SpaceNetAI-IT
Built on cloud engineering.
Focused on useful AI.
SpaceNetAI-IT is the AI-focused offering from SpaceNet-IT. We bring cloud architecture, Microsoft 365, identity and cyber security into the same conversation as automation and AI.
You work directly with the person shaping the architecture and delivery. The focus is a solution your team can use, understand and operate — not a demonstration that stops at the presentation.
Adam AndersonFounder, SpaceNet-IT
A few useful answers
Before we get started.
Do we need to replace our existing systems?
Not necessarily. We start with the platforms, information and workflows you already have. Where an integration or a new service is needed, we agree the reason, costs and operational impact before implementation.
Can we begin with just one process?
Yes. A focused pilot is the starting point: one useful process, an accountable owner and clear acceptance criteria. Expansion depends on the evidence from that pilot.
How do you approach sensitive business information?
We establish the data sources, permitted users and processing boundaries first. We review platform terms, access controls, retention requirements and logging as part of the design. The controls depend on the use case and the agreed architecture; no AI service should be treated as risk-free.
What does an AI project cost?
Fees are scoped after discovery, with deliverables and boundaries agreed before work begins. Any third-party licences, model usage, hosting or ongoing support costs are identified separately so you can assess the full commitment.
Are you developing your own AI model?
Our focus is applying suitable AI platforms to business problems. The value is in the architecture, integration, security, evaluation and adoption — not building a model for its own sake.
Let’s make a useful start
What would you
like to work better?
Bring the process that takes too long, the information that is hard to find or the AI idea you need to assess. We’ll start there.
contact@spacenet-it.comKingston & Surrey · Working with UK businesses
AI. Cloud. Security.
Principal-led advice. Hands-on delivery. Clear ownership.