THE MISSING COMMERCIAL CAPABILITY
AI isn’t failing.
It’s just not being run commercially.
AI investment is accelerating - yet most organisations remain stuck in pilot mode, with failure rates up to 90%.
​
The engineering part is often solved but the commercial capability needed to realise ROI is missing.
​
Why? - Calculating realistic, consistent projections of cost, benefit, time, risk, and ROI over a full investment horizon is genuinely hard.
​
We learned the formulas, data and connection logic and embedded them in a dynamic commercial model that forecasts with an accuracy of +/- 10%.​​
​
Its surprisingly simple too - Just 70 data points are needed.
Commercial Modelling is the key that unlocks ROI.
HOW IT WORKS
The Commercial Transformation Lifecycle.
There are six stages of the AI Transformation Lifecycle, and a simple common-sense test shows every stage needs a commercial focus -yet in most organisations it’s fragmented or missing entirely, so ROI is never built or proven.
1
Set
Commercial Targets
Define strategic goals and ensure delivery alignment
2
Invest in
High-ROI Initiatives
Prioritise based on ROI, Risk and Technical readiness
3
Reinvent Business Processes
Maximise future profitability and risk reduction
4
Steer Using Commercial Projections
Pick the best path based on realistic long-term business projections
5
Remove
Legacy
Cost
Retire legacy capabilities to unlock ROI
6
Measure
ROI
& Results
Prove business return from AI investment
PROVE COMMERCIAL TRANSFORMATION IN YOUR WORLD
Explorer Trial - Try it. Tailor it. Scale it.
This is where it becomes real. We work through this together - we bring the model and tools, you bring your data and reality. Together, we test and shape what actually works.
​
You start by selecting the product area that’s right for you — then we prove it in your environment.
In 20 days, you:
​
-
Learn ROI-led transformation concepts
-
Define AI commercial strategy
-
Assess capability maturity, gaps, and required actions
-
Select required capability level
-
Tailor the approach to your business
-
Build a transformation blueprint ready to scale
​
No theory. No black box. Just proof - and a clear path forward.
Prove ROI-led Transformation in your environment in 20 days.
ADD THE CAPABILITY THAT MAKES AI PAY
How Cedus Deploys ROI-Led AI Transformation.
Once you’ve proven what works in your environment, the next step is to scale it—Cedus supports this across a full range of services and price points, from early exploration through to fully agentic strategies, with the flexibility to move up and down as needed
​
The principle is simple - the more effort you put into the commercial side of AI transformation, the more ROI you generate.
AI Transformation Services - From Exploration to AI-First
LATEST OPINION FROM THE TEAM
News & Insights
SAITO Blueprint
Public Launch Of Invest
AI Pilots Everywhere
FAQs
Frequently Asked Questions
Why do most AI initiatives fail to deliver real business value?
Most AI initiatives are set up as technical builds rather than commercial transformation. Organisations demonstrate tooling capability but rarely improve business performance. The root cause is structural - most change systems are designed for risk reduction and incremental improvement, not for reinventing the business to materially improve the bottom line.
Cedus ensures AI transformation is managed commercially from start to finish - identifying the most valuable use cases, linking them to business outcomes, and proving the realised ROI and risk of the new capability.
Why not wait and see how AI evolves?
The timeline of disruption and the timeline of transformation are likely to be the same. If AI-native competitors emerge within three to five years, organisations that delay may not have time to reinvent their operating model before disruption arrives.
Cedus help organisations understand the full AI transformation landscape, including the opportunity/threat for their business.
We’ve already rolled out Copilot or ChatGPT. Isn’t that enough?
Tools like Copilot and ChatGPT improve individual productivity but rarely change how the business actually operates. The real value of AI comes from redesigning processes so work is performed differently, not simply faster.
Cedus focus on agentic AI use cases and solution designs that measurably improve the bottom line and reduces risk exposure.
Won’t our AI engineering partner already handle this?
AI engineering firms are excellent at building technology, but their commercial focus is centred on selling engineering effort. This creates a natural bias toward rapid solution building rather than completing commercial due diligence that might slow it down.
Cedus provides the commercial system that ensures the right AI solutions are built in the right order to maximise business ROI.
Won’t our internal transformation approach already do this?
Most internal transformation approaches are focused on enhancements to existing systems and risk reduction. What they rarely do is drive transformation commercially - with realistic projections of cost, time, benefit and ROI that actively guide investment decisions.
Cedus embed the commercial focus that enables leaders to drive transformation that measurably improves business performance.
Can’t the big consultancies help us with this?
Large consultancies can certainly support AI transformation. However their operating model is built around deploying large teams of consultants, which often creates significant cost and long-term dependency.
​
Cedus take a product-led approach combining specialist software, proven methodology, and a small number of expert resources. Typically we use ~50% fewer people and deliver twice as fast as traditional consultancies at ~25% of the cost for the same outcome.
How do we know the business projections are credible?
In most transformation environments projections of cost and time are largely people assumptions, with benefit and ROI often missing altogether. As a result, forecasts are often optimistic and disconnected from delivery reality.
​
Cedus projections are calculated using your own data within a connected model of outcomes, benefits, scope, resources and capability - not subjective assumptions - using a deterministic approach refined over 10+ years that learns from past performance to correct estimation optimism and produce increasingly realistic forecasts.
Most organisations already have established governance and delivery frameworks. The challenge is not replacing them, but introducing a clear commercial view of transformation so leadership can see how initiatives translate into cost, benefit, ROI and risk.
The Cedus solution can be added to any organisation or change system and had been proven in a wide range of businesses including banks, insurers, consulting firms, technology companies, start-ups and scale-ups.
How do we know this will work inside our organisation?
How do Cedus charge or make money?
Organisations need different levels of support as transformation evolves - from early exploration to enterprise-wide AI adoption.
Cedus provides a flexible model combining professional services, packaged transformation programmes, software licences and training that can scale up or down as required.
Are Cedus a SaaS company or a consultancy?
Traditional SaaS companies provide tools while consultancies provide people. Both approaches often struggle to install lasting transformation capability inside organisations.
Cedus combines elements of both to provide the capability organisations need to govern transformation commercially over the long term.
Do Cedus build the AI solutions as well?
The AI ecosystem is evolving rapidly and requires many specialist technical capabilities. Attempting to centralise all engineering inside a single organisation can quickly limit flexibility.
Cedus focuses on ensuring the right solutions are selected and delivered while working with best-of-breed engineering partners to build them.
How does Cedus approach risk management?
In regulated environments risk and governance are central to transformation decisions, and AI will fundamentally change how risk, audit and control functions operate.
​
Cedus include risk as a standard commercial outcome in the model - quantifying likelihood/impact, and the commercial upside, in pounds and pence - so leadership can see optionality through a risk/reward lens and balance how much risk they take against the value it creates.