AI Services
AI Integration & Systems
How does AI fit into what you already use? Connected systems, not another tool to manage.
Most businesses don’t need another platform. They need the systems they already have to start working harder together. That’s where AI quietly shines – not as a new tool to manage, but as the connective thread between the ones you’ve already invested in.
AI where you already work
We work across whichever stack your team lives in.
Microsoft 365
Outlook, Teams, SharePoint, Word and Excel.
Google Workspace
Gmail, Drive, Docs, Sheets and Calendar.
CRMs
HubSpot, Salesforce, Zoho, Pipedrive, MS Dynamics 365 among others.
Finance systems
Xero, Sage, QuickBooks and the like.
Productivity apps/platforms
Slack, Notion, Jira, Asana, Zendesk, or that internal app your team built five years ago.
What AI Intergation might look like in practice
An overnight process that spots invoicing delays based on CRM updates, and tells you about them by 9am.
A workflow that compares the time you spend per client to what you charge them, and flags candidates for a pricing conversation.
An assistant that reads a meeting transcript and updates the right deal in your CRM.
Internal search that pulls from your wiki, your docs and your tickets – without anyone switching tabs.
Cloud, local, or a bit of both
Most integrations sit happily on top of a cloud model like Claude or ChatGPT. It’s fast, cheap, and gets you moving. But there are cases where that doesn’t fit: heavy daily usage where token costs add up; regulated sectors; manufacturing, R&D or anywhere your IP can’t safely touch a third-party system.
In those cases we deploy local models. There’s a misconception that this means building one from scratch – it doesn’t. We leverage strong open models and build your domain expertise on top. Performance comparable to the big providers, costs that don’t scale linearly with usage, and your data stays where it should.
Small, sharp setups beat big platforms
You don’t need vast infrastructure to do this well. A small, well-designed setup with the right redundancy can run automations four times a day or five hundred times a day – the cost barely moves. We size the system to the job, not the other way round.
How we work
We start with what you already use. No rip-and-replace.
We design around real workflows, not slick demos.
We build with proper guardrails – access controls, audit trails, role-based permissions.
Because AI helps us understand existing systems faster, we typically deliver around 70% quicker than traditional integration work.
How We Deliver AI Services
Step 1
Business Analysis & Data Assessment
We assess your data, systems and enterprise goals. We identify realistic AI applications.
Step 2
AI Strategy & Tool Selection
We select appropriate AI tools, platforms and models – including Google Cloud AI services where relevant.
Step 3
Integration & App Development
We integrate AI services via REST APIs, customise models and support developers through implementation.
Step 4
Ongoing Management
We provide continuous optimisation, monitoring and AI model refinement.
Let’s connect the dots in your stack
If your AI tools feel disconnected from the rest of your business, let’s fix that. Book a free discovery call and we’ll walk through your stack together and find the integrations worth building first.
