We design, deploy and scale intelligent AI systems that transform how your business operates — measurable outcomes from week one.
4.9 · 300+ clients
UK AI Company of the Year
2025 - TechRound AI Awards
300+
Enterprise Clients
97%
Client Satisfaction
340M+
Client Savings Generated
Services
Enterprise Clients
Client Satisfaction
Client Savings Generated
Platform Uptime
Recent work
Healthcare
NHS Trust saved 18,000 staff hours annually with AI assistant.
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Manufacturing
£1.9M annual maintenance savings for automotive supplier.
4
Financial Services
RegTech AI cut audit prep from 5 weeks to 3 days.
5
Retail
£6.8M incremental revenue in year one for fashion retailer.
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Why Green Intelligence
Most enterprise AI takes 12–18 months to see results. Our delivery methodology gets clients to a live production deployment in 6–10 weeks — without cutting corners.
We have audited ROI data across 300+ deployments. The median client achieves 340% ROI in year one. We share commercial risk on this.
Every engagement is led by engineers and ex-operators who have built AI at scale — not account managers. You get direct access to the people building your solution.
Bias auditing, human escalation paths and explainable outputs are built into every deployment — not premium add-ons. ISO 27001 and SOC 2 Type II certified.
We build on top of your existing stack. 200+ enterprise connectors mean AI capability is added without disrupting workflows that already work.
300+
Enterprise Clients
97%
Client Satisfaction
Client voices
"We went from losing £180K a month to unplanned downtime to near-zero. The predictive maintenance AI paid for itself in 4 months."
James Reynolds
Apex Manufacturing Group
"The compliance assistant has fundamentally changed how our relationship managers work. Audit prep that took 5 weeks now takes 3 days."
Dr. Amelia Clarke
Northern Trust Bank
Journal
Most AI investment decisions are based on hype, not evidence. After 300+ deployments, here is what the data actually shows about returns.
We have seen hundreds of chatbot projects. The failure patterns are predictable, preventable, and almost always the same.
After helping over 200 UK executives secure AI investment, we know exactly what boards want to see — and what kills proposals before they get started.
Upcoming
See our AI Virtual Assistant live. Q&A with our engineering team. Three real deployment case studies. Online webinar — no travel required.
Hands-on workshop exploring practical AI applications in NHS and private healthcare — from clinical decision support to operational automation.
FAQ
Most Nexus implementations go live in 6–10 weeks for a contained use case. Complex multi-system programmes typically run 12–20 weeks. We always prioritise a working pilot — you should be using the AI before the end of month two.
Pricing depends on the complexity of the use case and the volume of transactions the system handles. Most engagements are structured as a one-time implementation fee plus a monthly platform fee, typically ranging from £3,000 to £25,000 per month depending on scale.
Yes — and this is where we do our best work. Starting without entrenched legacy approaches allows us to implement best-practice architecture from day one. We include AI literacy workshops for your team as standard in every engagement.
All Nexus deployments default to UK-based infrastructure (AWS London or Azure UK South). We never use client data to train models for other clients. All data handling is covered by a comprehensive Data Processing Agreement.
We use Retrieval-Augmented Generation (RAG) architecture for knowledge-based applications, which dramatically reduces hallucination risk by grounding responses in your verified content. Every deployment includes confidence thresholds and human escalation paths.
Start today
Book a free 30-minute discovery call. No pitch decks — just honest conversation about your goals.