Our Technology
Approach
We work with both Microsoft and Google AI ecosystems. The platform we recommend is the one that fits your organisation — not the one we prefer.
"Technology should adapt to your processes. Your processes should not adapt to the technology."
— Karvin's guiding principle for every AI engagement
Microsoft AI vs Google AI
Neither platform is universally better. The right choice depends entirely on your organisation's existing infrastructure, team capability, and data environment.
Tightly integrated into the productivity and enterprise tooling most large UK organisations already use. Often the lower-friction path for Microsoft-stack firms.
Particularly strong in document intelligence, multimodal processing, and for organisations already in Google Workspace or GCP with strong enterprise data controls.
Important: Many large enterprises use elements of both ecosystems. A hybrid approach is common and entirely viable. We design for your actual environment, not a theoretical clean-slate.
Five Factors We Weigh
Our platform recommendation is the output of a structured assessment — not a default position.
The platforms already in use are the single most important factor. Switching ecosystems for AI creates unnecessary cost and risk.
Where your data lives determines what's practical. We assess data residency, sensitivity classification, and access controls before recommending a platform.
Financial services and legal firms operate under specific data handling rules. Platform choice must be compatible with FCA, GDPR, and sector-specific obligations.
The best technical solution fails if your teams can't use it. We factor in your IT team's existing skills and the organisation's capacity for change.
We model the cost of both options against your specific use cases — including licencing, implementation, training, and ongoing support.
Not Sure Which Platform Fits?
Start with a free workflow review. We'll assess your environment and give you an honest, documented recommendation.
Book a Free Workflow Review →