Why most AI strategies fail before they start
The single biggest mistake companies make when approaching AI isn't technical — it's starting with the technology instead of the problem. Here's how to get the order right.
Read article →Orgence partners with ambitious companies to design, deploy, and scale AI systems that create measurable impact — from strategy through to production.
Trusted by teams
across every industry
Whether you're exploring what's possible or scaling a system already in production, we have a service model built around where you are.
We audit your current operations, identify the highest-value AI opportunities, and deliver a prioritised roadmap with clear ROI projections — so you invest in the right things first.
Learn more →From LLM integration to custom model deployment, our engineers build production-ready AI systems inside your existing stack — fast, secure, and built to last.
Learn more →Practical, hands-on AI training for your leadership and product teams — so your organisation can confidently own, evolve, and scale AI long after our engagement ends.
Learn more →Most consultants hand over a strategy document and leave. We stay — working directly alongside your engineers, product managers, and leadership until the AI is live, measured, and genuinely yours.
We map your workflows, data assets, and team capabilities to identify exactly where AI delivers the highest return.
A phased plan with technology decisions, team structure, and ROI projections for each initiative — aligned to your goals.
Our engineers build and ship production-ready AI directly inside your stack — fast, secure, and fully tested end-to-end.
Continuous monitoring, model iteration, and knowledge transfer until your team fully owns and can evolve the system.
We start with your business problem — not with a technology solution. Every AI system we build is designed around a measurable outcome, with ROI tracked from day one.
↑ Improvement post-deployment
We built an ML pipeline that replaced a 3-day manual review process with real-time AI scoring — processing 10,000+ applications daily with 94% accuracy and full auditability.
Read case study →A custom forecasting model reduced overstock by 41% and stockouts by 58%, directly increasing gross margin across 200+ store locations without changing logistics infrastructure.
Read case study →Orgence didn't just recommend AI tools — they fundamentally changed how our operations team thinks about automation. Within 12 weeks we'd cut manual processing time by over 60%.
The strategy session alone was worth the engagement. They identified three high-impact AI opportunities we'd completely overlooked, each with a clear payback timeline and no fluff.
What sets Orgence apart is they stay until it works. Not until a report is delivered — until the system is in production and the team is genuinely confident running it independently.
Most engagements run 12–16 weeks from discovery through to live deployment. Strategy-only engagements typically conclude in 4 weeks. We scope a timeline around your priorities during our initial call — there's no fixed template.
No. We embed directly into your organisation and bring the technical expertise ourselves. If you do have engineers, we work alongside them. If not, we handle the full build — and train your team to own it independently by the time we're done.
We've delivered projects across financial services, retail, healthcare, logistics, media, and professional services. AI problems tend to be more similar across industries than people expect — but we always invest time in understanding the specific constraints and regulations in your sector.
We work on a fixed-scope project basis, not day rates. Every engagement begins with a scoped proposal that lays out deliverables, timelines, and investment clearly — so there are no surprises. We'll discuss this transparently on our first call.
Knowledge transfer is built into every engagement from day one — your team learns as we build. After handover, we offer optional retainer arrangements for ongoing advisory, monitoring, and iteration. Most clients choose to continue in some form; none are locked in.
The single biggest mistake companies make when approaching AI isn't technical — it's starting with the technology instead of the problem. Here's how to get the order right.
Read article →Every manual process that could be automated carries a cost far beyond headcount — in quality, speed, and the opportunity cost of your best people doing repetitive work.
Read article →Choosing an AI partner is one of the most consequential decisions a business leader will make. A practical framework for getting it right — without deep technical expertise.
Read article →Let's talk about your goals. No pitch deck, no drawn-out sales process — just a focused conversation about where AI can move the needle for your business.