AI Consulting

In just 20 days, get clarity on where AI makes sense for your business and where it doesn’t.

Orgence partners with ambitious companies to design, deploy, and scale AI systems that create measurable impact — from strategy through to production.

AI Performance · Live
+47% Operational efficiency
$2.4M Cost savings identified
12 wks Avg. time to deploy
98% Client satisfaction

Trusted by teams
across every industry

· · · · · · · · · · · · · · · · · · · · · · · ·
50+ Projects delivered
12 Industries served
$40M+ Value unlocked for clients
100% Client retention rate
Our Services

Three ways we transform your business with AI

Whether you're exploring what's possible or scaling a system already in production, we have a service model built around where you are.

AI Strategy & Roadmap

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  →

Implementation & Engineering

From LLM integration to custom model deployment, our engineers build production-ready AI systems inside your existing stack — fast, secure, and built to last.

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Training & Enablement

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.

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Our Approach

We embed, we don't just advise

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.

  • Dedicated on-site and remote teams
  • End-to-end ownership from discovery to deployment
  • Knowledge transfer built into every engagement
  • No vendor lock-in, ever
Our process · 4 phases
01
Discovery & Audit 2 weeks

We map your workflows, data assets, and team capabilities to identify exactly where AI delivers the highest return.

Active
02
Strategy & Roadmap 2 weeks

A phased plan with technology decisions, team structure, and ROI projections for each initiative — aligned to your goals.

03
Build & Deploy 6–10 weeks

Our engineers build and ship production-ready AI directly inside your stack — fast, secure, and fully tested end-to-end.

04
Scale & Optimise Ongoing

Continuous monitoring, model iteration, and knowledge transfer until your team fully owns and can evolve the system.

Our Track Record

Outcomes first. Technology second.

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.

  • Average 47% improvement in operational efficiency
  • $40M+ in cumulative value created for clients
  • 12-week average from discovery to live deployment
  • 100% client retention across all engagements
Client impact · Average across engagements
Process automation 73%
Decision speed 58%
Cost reduction 41%
Revenue growth 34%

↑ Improvement post-deployment

Our Work

Results that speak for themselves

Financial Services 60% reduction in manual processing time

Automating credit risk assessment for a global bank

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  →
Retail $2.4M saved in year one

Demand forecasting & inventory optimisation for a retail chain

A custom forecasting model reduced overstock by 41% and stockouts by 58%, directly increasing gross margin across 200+ store locations without changing logistics infrastructure.

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Client Stories

What our clients say

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%.

SC
Sarah Chen COO · Meridian Group

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.

JW
James Whitfield CTO · Fortis Capital

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.

PN
Priya Nair Head of Digital · Nexora
FAQ

Questions we hear most

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.

Insights

Thinking on AI from our team

View all articles
Strategy 12 Feb 2026 · 7 min read

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  →
Operations 5 Feb 2026 · 5 min read

The hidden cost of not automating

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  →
Advisory 28 Jan 2026 · 9 min read

How to evaluate an AI vendor without a technical team

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  →

Ready to build AI that actually works?

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.