The economics of AI inverted in 2025. Designing and building customer experiences and innovations got cheaper and faster. Selecting the wrong use case, scaling them badly, or doing so without governance has become more expensive. Enterprises now run a portfolio of pilots that look impressive locally but can fail to scale effectively across the organization. The next AI investment has to clear a higher bar than the last, and most leaders can’t yet defend it.
Artificial Intelligence
You can defend what you spend on AI. Can you say what to fund next?
We help leaders turn a portfolio of experiments into AI that earns its place on the P&L and aim for the next investment where it actually pays.
About
The cost of building with AI has collapsed. The cost of building the wrong thing hasn’t.
Reaching the third pattern means moving from freedom and shared achievement to economies of scale across people, process, and technology. Here’s what that looks like in practice.
PEOPLE
Knowledge and cultureGet your experts to share what they know in a form AI can use. Match AI literacy to risk policy. Move tacit knowledge into training data – so the capability lives with your people, not in a tool license.
PROCESS
Value and governanceStop running cool projects. Run a prioritized portfolio. Build privacy and security guardrails into how work gets approved – governance that unlocks speed rather than slowing it.
TECHNOLOGY
Architecture and scaleCut tool sprawl. Lower license costs. Make data move once and serve many – an integrated, scalable platform that replaces fragmented tools.
The foundations
Value, Fow, Quality.
Our proprietary operating philosophy. Deliver value early and often. Optimize the flow of work end to end. Discover quality with fast feedback. VFQ is how every engagement runs. It’s what makes the difference between an AI program that produces deliverables and one that produces durable capability.
How it runs
Small senior teams direct. AI agents execute.
Small senior teams direct the work. AI agents do the heavy lifting, vetting the problem, then shipping code, tests, and documents. Every step is recorded and the outcomes tie straight to your KPIs.
Praxis is the system behind the decisions, helping teams validate ideas faster, invest in what works, and stop funding what doesn’t. The methodology behind Praxis has already delivered $3.5B in returns for a Fortune 500 company. More importantly, it builds the skills, processes, and mindset needed to achieve measurable results faster and create a lasting culture of product excellence. By the end, your team owns the capability, not us.
Outcomes tied to your KPIs are what let you see which investment earned its place – and where the next one should go.
Why Emergn
A different shape of help.
Most providers in this market do one of two things. Large consultancies design AI strategies for you. Boutique firms build AI solutions for you. We build the capability with you that delivers business value.
| BIG MANAGEMENT CONSULTANCY | BOUTIQUE AI FIRMS | EMERGN | |
| AI strategy | ✓ | – | ✓ |
| Use case delivery | – | ✓ | ✓ |
| Operating model and governance | ✓ | – | Designed and activated |
| Capability building | Limited | – | In our mission |
| Portfolio scaling | ✓ | – | Our core focus |
| Technology | Varies | Usually single-vendor | Vendor-agnostic |
Client stories
The work in practice.
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days saved per year1000
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faster to process documents20x
Government
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reduction in case administration70%
Legal
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service journeys230
Financial Services
How to get started
Wherever you are on your AI journey, we’ll help answer your most pressing questions.
How do we explore AI for process improvements through to new business models?
Our advisory and consulting services will help you determine where the value of AI lies within your organization. We’ll co-create a discussion document capturing what we’ve heard and our initial recommendations.
Using innovation programs, experimentation, consulting, and applied R&D projects, we’ll reveal your priority use cases. We’ll also set out the business benefits of automation, rationalization, and digitization and organize a leadership working session to gain buy-in for your next steps.
What are the ways we could elevate our customer or employee experiences with AI?
Our product and delivery managers ensure AI solutions are delivered and fit for purpose. During our inspiration session, we’ll educate, stimulate ideas, and devise strategies on how these technologies can deliver value. We’ll also take you from experimentation and proof of value through to building enterprise-grade solutions. You also have the option to engage an Emergn team who will come in and fill a gap to validate and accelerate an existing program of work.
Or kick-start things by bringing in our software engineers with experience in embedding both pre-trained and custom AI models – from translation to computer vision to decision-making.
Where should we invest in the skills to own and improve our AI solutions?
Over the long term, technology solutions are only as good as the people managing them. So we provide you with the skills and capabilities necessary to operate and continuously improve AI.
Through our Centers of Excellence and a custom training and work-based learning program, we give your people the know-how to not only use but also extend the value of AI. This is an empowering experience of ongoing knowledge transfer through experimentation. One that marks a shift from standard user acceptance to active user participation.
Talk to our AI team
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