01
SELL THE INSIGHT
Turn data, knowledge or patterns you already have into something another business would pay to know.
New Revenue Opportunities Made Possible by AI
CREATE NEW REVENUE WITH AI
Find, prove, build and launch new revenue opportunities made possible by AI.
Instead of thinking “Where can we use AI?”, think in the direction of: “What new revenue could exist because of AI?”
Start With What You Already Have
WHERE NEW REVENUE CAN COME FROM
New revenue can start with something the business already has, knows, owns, accesses or does — but has never sold in that form.
02
SELL THE OUTCOME
Use AI to deliver the result, rather than charging for all the work traditionally required to produce it.
03
TURN AN INTERNAL CAPABILITY INTO A PRODUCT
Something you built or developed for your own business may solve the same problem for others.
04
OPEN A NEW CUSTOMER SEGMENT
AI can make customers profitable to serve who were previously too expensive or difficult to reach.
05
MAKE CUSTOMISATION SCALABLE
Turn something highly bespoke into an offer that can be delivered repeatedly without the same increase in cost.
06
MONETISE ACCESS
A network, distribution channel, supplier base or ecosystem you already have may create value for another buyer.
The opportunity may already be inside the business.
The question is who would value it enough to pay for it.
The question is who would value it enough to pay for it.
From Possibility to Revenue
FIND. PROVE. BUILD. LAUNCH.
A revenue opportunity starts with something the business has, knows or can do that someone else may value enough to pay for. The work is to find it, identify who the buyer could be, and prove the value before building the solution.
BUSINESS FIRST. TECHNOLOGY FOLLOWS THE OPPORTUNITY.
We start with the commercial opportunity, not an AI tool. We prove the buyer, value and business case, check technical feasibility early, then decide what technology is actually needed.
Opportunity firstProve the commercial caseDefine the required capabilityUse / adapt / build the technology
Technology selection comes later. Technical feasibility does not.
01 — Find & Prove
FIND & PROVE
We start inside the business: what you already have, whom you serve, the problems you solve today, and what you know, own, access or do that someone else could value enough to pay for.
We do not limit the search to your current customers. The buyer could be a new customer segment, a supplier, a partner, or another part of the market you do not serve today.
Then we test the strongest opportunities with potential buyers before significant technology investment.
Before the full build: We may use interviews, research, a manual version, demo or lightweight prototype to test whether the offer is understood and valued. The production AI solution is built in Design & Build.
The question we answerWhat do we have, know or do that someone would pay for — and who is that buyer?
02 — Design & Build
DESIGN & BUILD
Once there is enough evidence that the opportunity deserves to exist, we turn it into an offer someone can actually buy.
We define what the offer will be, who it is for, what value it creates, how it will be priced, and how it will be delivered.
Then we decide what technology is needed. If an existing solution can be configured or adapted at reasonable cost, we use it. If not, we build what the opportunity requires, together with the operating model needed to deliver it.
The question we answerHow do we turn this opportunity into a viable offer?
03 — Launch & Scale
LAUNCH & SCALE
We take the offer into the market with early buyers and learn from real use rather than assumptions.
We improve what does not work, strengthen what creates value, and build the go-to-market, delivery and operating model needed to make it repeatable.
The goal is not to launch an AI project. It is to create a new source of revenue that can grow.
The question we answerCan this become a repeatable source of revenue?
I help you uncover revenue opportunities you may not be seeing, prove which ones have a real buyer and commercial value, and then build and launch the strongest one.
How I Think About AI
CHALLENGE THE ASSUMPTIONS BEFORE DECIDING WHAT AI SHOULD CHANGE
AI creates two different opportunities for a business. One is to rethink how the business works. The other is to rethink what the business can sell. I use the same principle for both: challenge the assumptions before deciding what AI should change.
01 — Rethink the Work
WHAT SHOULD WORK DIFFERENTLY?
Challenge assumptions about work that already exists.
Processes, roles and ways of working were often designed around constraints that may no longer exist. Before using AI to improve the work, question why the work exists and whether it should still work that way.
02 — Rethink What You Can Sell
WHAT COULD WE SELL THAT WE COULD NOT SELL BEFORE?
Challenge assumptions about what the company can sell.
Look at what AI changes about cost, speed, scale, access and expertise. That can make new offers, new buyers, new revenue models and new businesses commercially possible.
CHALLENGE
Question the assumptions behind how the business works and what it sells today.
RETHINK
Explore what becomes possible when AI changes constraints around cost, speed, scale, access or expertise.
REBUILD
Redesign the offer, business model or operating model around the opportunity worth pursuing.
15+ YEARS
Inside SAP across Europe and the Middle East, combined with entrepreneurial experience building e-commerce, an online booking platform and new revenue streams in industries that were — and largely still are — offline.
Built From Experience
FROM ENTERPRISE TECHNOLOGY TO BUILDING NEW REVENUE
Her SAP career gave her a close view of how large companies adopt and use technology. Outside corporate roles, she created new revenue streams herself — including memberships, subscriptions, e-commerce and online booking — in traditionally offline industries.
Business feasibility before technology. Evidence before investment.
Explore AI4Sales Edge
Thinking & Media
CHALLENGE YOUR THINKING
Ideas, questions and case studies for leaders rethinking how their business works and where new revenue could come from.
Read & subscribe →Case Studies
SEE IT IN PRACTICE
Real examples of companies challenging old assumptions, changing customer value, and finding new ways to create growth with AI and technology.
Watch on YouTube →Challenge the Logic Cards
GET EARLY ACCESS
Two practical sets of questions: Rethink the Work and Rethink What You Can Sell. Use them to challenge assumptions and open better conversations inside the business.
Challenge Your Thinking
GET THE LATEST THINKING BY EMAIL
Ideas, examples and questions on how AI changes business logic, customer value and where new revenue can come from.
Founder
JELENA PEPIC
Founder, AI4Sales Edge. Jelena works with B2B leadership teams to find, prove, build and launch new revenue opportunities made possible by AI.
Her background combines enterprise technology and business transformation with hands-on experience creating new revenue streams. That shapes how she approaches AI today: start with what could create new value and revenue, prove whether someone will pay for it, then build the technology needed to make it possible.
The Point of View
WHAT COULD YOUR BUSINESS BECOME BECAUSE OF AI?
Ask what the business could sell, who it could serve and what could become commercially possible because AI changes the constraints you used to accept.
Questions & Answers
WHAT LEADERS ASK BEFORE THEY CALL
Clear answers about what the work is, where AI is built, and how a new revenue opportunity moves from idea to market.
What does AI4Sales Edge do?
AI4Sales Edge helps B2B companies find, prove, build and launch new revenue opportunities made possible by AI. The work starts with the business opportunity, tests whether someone sees enough value in it to pay for it, and only then moves into building the AI solution and launching the offer.
How do you find new revenue opportunities with AI?
We start with what the business already has — customers, expertise, data, technology, distribution, relationships, internal capabilities and problems it knows well — and ask what someone else might value enough to pay for. Then we look at whether AI changes the cost, speed, scale, access or delivery enough to make the opportunity commercially viable. That can include selling insights, turning an internal capability into a product, selling an outcome, serving a new segment, making customisation scalable, or creating a new revenue model.
Do you only look for opportunities with our current customers?
No. Current customers are one source of evidence, not the boundary of the market. A potential buyer could be a new customer segment, a supplier, a partner or another part of the market the company does not serve today.
What happens in Find & Prove?
We identify the strongest potential opportunities, explore who could become the buyer, and test the problem, value, willingness to pay, market potential, strategic fit and technical feasibility before significant technology investment.
When do you actually build the AI solution?
The production AI solution is built in Design & Build, after the opportunity has enough commercial evidence to justify building it. In Find & Prove, we may use a simple prototype, demo or manual version to test whether a potential buyer understands and values the offer. The technology does not lead the process.
What is Challenge the Logic™?
Challenge the Logic™ is how I think about AI and business transformation. It starts by challenging assumptions before deciding what AI should change. That applies both to work that already exists and to what the company may be able to sell next.
What are the Challenge the Logic Cards?
The cards are practical thinking tools for leadership teams. One set helps teams rethink existing work. The other helps teams rethink what the business could sell and where new revenue opportunities may come from.
What happens during the 20-minute conversation?
You give me a short picture of the business — what you sell, who you serve, and what you are trying to grow or rethink. I explain how I would approach finding and proving a new revenue opportunity and what the Find & Prove stage would involve. If there is a reason to continue, we agree the next step.
Have a business capability, customer problem or idea you think could become new revenue?
Book a 20-minute conversation →WHAT NEW REVENUE COULD AI MAKE POSSIBLE FOR YOUR BUSINESS?
You do not need an AI idea before we speak. Bring the business. Tell me what you sell, who you serve, and what you are trying to grow or rethink. I will explain how I would approach finding and proving a new revenue opportunity, and we can decide whether it makes sense to continue.
Book a 20-minute conversation →