In the last year we put real AI into production across Azure, Microsoft 365 and clients' own systems. Here is where we help:
AI does not fix everything. It is exceptional for prototyping, search, drafting and automation, as long as there are guardrails. We build these in from day one:
Grounded in your data, not the open internet, so answers stay accurate and on-brand.
We connect models to your CRM, ERP, databases and content.
We remove the manual, repetitive work that drains your team.
Search, summarisation, classification and drafting, built into your software.
Validate an idea with real users before you invest.
Instead of relying on what a model memorised during training, which is out of date and prone to making things up, RAG fetches the relevant passages from your own sources first, then answers using them. You get citations, current information, and respect for who is allowed to see what. It is how you build chat over your documents, support deflection, internal knowledge search, and product Q&A that you can actually trust.
AI-assisted delivery compresses the path from idea to a thing you can click. We prototype real, working software fast (a custom CRM, an internal tool, a SaaS MVP) so you can test it with real users and real data before committing serious budget.
It does not replace engineering judgement, and it will not fix a fuzzy idea. What it does brilliantly is get you to a working prototype quickly, so you can evaluate, learn and decide. Then we harden the winners into something secure and maintainable. Prototype fast, validate, then harden.
Azure OpenAI, AI Search, Functions and App Service.
Teams, SharePoint, Outlook and Entra ID.
SQL, vector stores, CRMs, ERPs, PIMs and content APIs.
AI inside the CMS and the Delivery API, for content teams.
Answers respect who is allowed to see what.
The assistant stays in scope and declines what it should not touch.
Your data stays yours, and nothing trains public models.
People stay in control of high-stakes decisions.
We measure accuracy, not vibes.
We are an engineering team that ships to production, not a slide deck. Over the last year we delivered more than 130 Umbraco upgrades and built AI integrations across Azure and clients' own systems. Cost-effective, fixed-scope and nearshore.
Tell us what you are trying to do, and we will tell you honestly where AI helps and where it does not.