Build the financial case for adoption, commercialization and investment

A scientific innovation may work technically and still fail commercially.

A new food-processing technology may increase production efficiency. A water-management system may reduce losses. An artificial intelligence solution may improve operational decisions. A medical innovation may produce better outcomes. A renewable-energy system may reduce dependence on unreliable power.

These are important technical achievements. But technical performance alone does not answer the questions that determine whether an innovation will be adopted, commercialized or funded.

A potential customer wants to know: What financial value will we obtain if we adopt this innovation?

The research or venture team needs to know: Can we build a sustainable business around the innovation?

An investor or funding organization wants to know: What economic or measurable return will result from financing its commercialization?

These are different questions, but they are not separate. The financial value created for the customer influences the price the venture can charge. The price and number of customers determine the venture's revenue. The venture's revenue, margins and growth determine whether external investment can generate an attractive return.

Technical performance → Customer value → Adoption → Revenue → Venture economics → Investment return

When research teams skip the first stages and move directly to financial projections, they often produce business plans that appear impressive but have weak commercial foundations. A stronger approach begins by building the financial case for adoption. It then translates customer value into a commercialization model and, finally, into an investment case.

The financial gap between research and the market.

Research projects are generally designed to answer scientific and technical questions. Does the technology work? Is the process more efficient? Can the prototype achieve the required performance? Is the solution scientifically valid?

These questions are essential during research and development. Markets and institutions, however, make adoption decisions using an additional set of considerations. They want to understand the complete implementation cost, the operating expense the solution will reduce, the revenue or capacity it may increase, the time required to recover the investment and the risks the customer must assume.

This creates a financial gap between technical validation and market adoption. A technically validated innovation demonstrates that something can work. A financially validated innovation demonstrates that adopting it can produce sufficient value to justify the required cost, effort and risk.

This is particularly important for scientific and industrial innovations, where the person using the solution may not be the person making the purchasing decision. An engineer may understand the technical advantage, but the finance director may require a measurable return. A production manager may want the equipment, but senior management may need evidence that it will reduce operating costs.

The financial model translates technical performance into the language of economic decisions.

Begin with the financial case for adoption.

Before asking how much revenue a venture can generate, the innovator should determine how much value the innovation can create for one customer.

The starting point is not the innovation itself. It is the customer's current operating situation.

Consider a company experiencing production losses because of equipment downtime. The relevant baseline could include:

• The number of breakdowns experienced each month
• The average duration of each breakdown
• Production lost during downtime
• Labour costs incurred while production is interrupted
• Emergency maintenance costs
• Delayed-delivery penalties
• Revenue or customers lost because of unreliable production

An industrial-maintenance innovation may reduce the number or duration of breakdowns. Its commercial value is not simply that it improves maintenance. Its value comes from the financial consequences of the improvement.

If the solution reduces downtime by 30%, the model should calculate how that reduction affects production, costs, revenue and risk.

Annual financial benefit = Cost savings + Additional contribution from increased output + Avoided losses

The customer's return on investment can then be estimated as:

Customer ROI = (Financial benefit − Total adoption cost) ÷ Total adoption cost

The adoption cost should include more than the purchase price. It may include installation, integration, training, maintenance, process changes, licences and the temporary disruption associated with implementation. A credible model considers the complete cost of adoption and the complete value created.

From technical performance to financial value

Every innovation creates value through one or more economic mechanisms. Identifying the strongest mechanism is one of the most important steps in commercialization.

Cost reduction occurs when an innovation allows the customer to perform an existing activity at a lower cost. This may involve reducing energy consumption, raw-material waste, maintenance expenses, water losses, repetitive work or distribution costs.

Revenue improvement occurs when the innovation enables the customer to generate additional sales or obtain a higher price. It may improve product quality, increase production capacity, extend shelf life, reduce stockouts or open access to a new market.

Risk reduction occurs when an innovation reduces the probability or financial consequences of an undesirable event. Examples include equipment failure, product-safety incidents, regulatory penalties, credit defaults or cybersecurity breaches.

Time reduction allows the customer to complete an activity faster, reduce delays or increase throughput. Capital efficiency allows the customer to produce more from existing assets, reduce inventory requirements or delay additional capital expenditure.

The innovator must identify which mechanism produces the strongest and most measurable customer value. A long list of general benefits is less persuasive than a clear model showing how a specific operational improvement affects the customer's financial performance.

A simple illustration

Consider a hypothetical technology that helps a food-processing company reduce raw-material waste.

The company currently processes raw materials worth FCFA 300 million annually. Approximately 8% is lost during processing, representing FCFA 24 million in annual waste. The new technology is expected to reduce the waste rate from 8% to 5%.

The annual reduction in waste would be:

FCFA 300 million × 3% = FCFA 9 million

Assume that the complete cost of purchasing, installing and operating the technology during the first year is FCFA 6 million. The customer's first-year net financial benefit would be FCFA 3 million, producing a first-year return on investment of 50%.

If the technology continues producing FCFA 9 million in annual savings while requiring only FCFA 1 million in annual maintenance and support, the value becomes even more attractive over three or five years.

The strength of this argument is not the specific percentage. It is the transparency of the economic logic. The customer can examine the assumptions, replace them with its own operational data and observe how the result changes. The commercial discussion moves from whether the technology appears interesting to whether the underlying assumptions are credible.

Model a range, not a promise

Innovation involves uncertainty. A financial model should not hide that uncertainty behind a single optimistic forecast.

A more credible approach considers at least three scenarios:

• A conservative scenario based on slower adoption or lower performance improvement
• An expected scenario based on the most evidence-supported assumptions
• A high-performance scenario based on stronger adoption or technical performance

For the waste-reduction example, the model could test what happens if the technology reduces waste by only one percentage point rather than three. It could also determine the minimum improvement required for the customer to recover the investment within an acceptable period.

These thresholds reveal which assumptions matter most and which evidence the innovation team must validate. This is where financial modelling becomes more than accounting. It becomes a tool for designing experiments, prioritising market research and improving the innovation itself.

Customer value should inform pricing

Many research teams price an innovation by adding a margin to its production cost. While cost is important, it does not fully reflect the innovation's commercial value.

Suppose an innovation costs FCFA 2 million to produce but generates FCFA 20 million in annual value for the customer. A price based only on production cost may significantly underestimate its value. The opposite can also occur: an innovation may be expensive to produce but create only limited financial value for the customer. Increasing the price to cover the innovator's costs will not automatically make the offer commercially attractive.

Sustainable pricing must reconcile three realities:

• The financial value created for the customer
• The customer's willingness and ability to pay
• The venture's cost of delivering and supporting the innovation

The gap between customer value and price creates the customer's economic incentive to adopt. The gap between price and delivery cost creates the venture's gross margin. Both must be sufficient.

From customer ROI to commercialization

Once the value created for one customer is understood, the next question is whether that value can be reproduced across a sufficiently large and reachable market. This is the transition from the customer business case to the commercialization model.

The model should examine drivers such as:

• Number of potential customers
• Priority customer segments
• Customer acquisition rate
• Sales-cycle duration
• Price per customer
• Implementation capacity
• Cost of acquiring and serving a customer
• Renewal or repeat-purchase rate
• Gross margin
• Operating expenses
• Working-capital requirements
• Break-even volume

Revenue should not simply be projected as an amount that increases each year. It should be generated from underlying commercial drivers.

Revenue = Number of customers × Average revenue per customer

Even this may be too general. The number of customers acquired can be modelled from qualified opportunities and conversion rates. Qualified opportunities may depend on the number of salespeople, partners, demonstrations, institutional agreements or distribution channels available.

If the model assumes 100 customers, the team should be able to explain how those customers will be identified, reached, converted, implemented and supported.

Not every innovation should become a startup

A commercialization model should help determine the appropriate pathway for taking an innovation to market. Possible pathways include building a new venture, licensing the technology, selling directly to institutional customers, partnering with a manufacturer or distributor, integrating the technology into an existing company or using a public-private deployment model.

The best pathway depends on the innovation, customer, required infrastructure, capabilities of the research team and economics of deployment.

An innovation requiring substantial manufacturing capacity and regulatory approval may be better commercialized through an established industry partner. A digital solution with low deployment costs may be suitable for a venture-led model. An environmental or public-health solution may require government procurement, development financing and private implementation partners.

Financial modelling allows the team to compare these pathways rather than assuming that every promising innovation must become an independent startup.

Build the venture before building the investor presentation

Only after customer value and venture economics have been modelled should the team develop the investment case.

The funding requirement should emerge from the commercialization system. Capital may be required for product development, certification, manufacturing, recruitment, market development, distribution infrastructure, implementation and working capital.

Funding should also be connected to measurable commercial milestones, such as completing a market-ready prototype, securing regulatory approval, running customer pilots, converting pilots into paying customers, reaching a target production capacity or achieving operational break-even.

The investor model should show how investment influences customer acquisition, revenue, margins, cash flow and growth. Depending on the financing structure, the expected return may involve equity ownership, dividends, interest, preferred returns, revenue sharing, company valuation at exit or an investment multiple.

The purpose is not to manufacture an attractive return on a spreadsheet. It is to demonstrate how investment enables specific commercial activities, how those activities produce customers and how those customers create financial performance.

Investor returns begin with customer returns

An investor's return does not originate from the funding itself. It originates from the venture's ability to create and capture customer value repeatedly.

Customer problem → Measurable value → Willingness to pay → Revenue → Margin → Growth → Investor return

If the customer-value assumptions are weak, the revenue model will also be weak. If the revenue model is weak, the investor-return projection becomes speculative.

The most important assumptions may include the financial cost of the customer's problem, the performance improvement produced by the innovation, the customer's willingness to pay, the sales-conversion rate, implementation time, cost of serving each customer and repeatability of the commercial process. A credible investment case makes these assumptions visible.

Funding organizations need a financial case too

Not all commercialization capital comes from private investors. Universities, development organizations, government agencies and research funders also finance innovation. Their expected return may include economic, social, environmental or institutional outcomes rather than equity appreciation alone.

A funding organization may want to understand how much funding is required per innovation supported, how many innovations are expected to reach market validation, how many customers or beneficiaries could be reached, how many jobs or ventures could be created, how much private investment could be mobilised and whether the supported ventures can continue after grant funding ends.

A strong commercialization model connects program expenditure to these outcomes. This makes it possible to distinguish between funding research activities and financing a pathway through which research can produce adoption, revenue, employment and impact.

Three financial cases, one commercialization system

A complete driver-based commercialization model should produce three connected outputs.

The customer business case demonstrates why a company, institution or operating partner should adopt the innovation. It measures total adoption cost, savings, revenue improvement, risk reduction, payback period, customer ROI and cumulative financial value.

The commercialization case demonstrates whether the innovation can become a viable and scalable business. It measures market opportunity, pricing, customer acquisition, revenue, unit economics, delivery capacity, break-even, cash flow and scalability.

The investment case demonstrates what external capital will enable and what return it could generate. It measures capital required, use of funds, commercial milestones, growth scenarios, cash runway, valuation, investor return and risk.

These models should not be developed independently. The assumptions must flow from one level to the next. Customer value influences willingness to pay. Willingness to pay influences pricing. Pricing and adoption influence revenue. Revenue and cost structure influence cash flow. Cash flow and growth influence the need for capital and the potential investor return.

Model before committing significant resources

The objective of modelling is not to predict the future with perfect accuracy. Innovation is too uncertain for that. The objective is to make the logic of the proposed venture visible, measurable and testable.

A useful model shows what must be true for the innovation to create value, which variables determine commercial viability, which assumptions are supported by evidence, what should be tested next and what conditions justify scaling.

The central question is therefore not simply whether the innovation works. It is:

Under what technical, operational and financial conditions can this innovation create sufficient value for customers, become commercially sustainable and generate a justifiable return on investment?

Answering that question changes the role of the financial model. It is no longer a spreadsheet prepared at the end of a project to satisfy an investor or funding application. It becomes part of the innovation process itself.

It helps the team select the right market, refine the value proposition, determine the price, compare commercialization pathways, plan capacity, identify risk, design validation experiments and decide when to invest.

Build the financial case for adoption, commercialization and investment—before committing significant resources to scale.

Model your innovation's pathway to market

Through the Wedge Equation™, Scino360 helps researchers, universities, innovation hubs and funding organizations transform assumptions about demand, pricing, costs, capacity, investment, distribution and returns into models that can be tested, simulated and improved.

The goal is not simply to produce another business plan. It is to build evidence showing how an innovation creates value for customers, how that value supports a viable venture and how investment can move the venture toward measurable impact and scale.