Rethink What Your Business Does:Imagine your business had to be started again tomorrow, from zero, with the tools available today. Would you build the same products, hire for the same roles and run the same meetings?
If the honest answer is no, your business may be well run but badly designed for what is coming. Most companies use AI to do today’s work faster. That helps, but it skips a bigger question: should this work exist at all? Here is how to rethink what your business is designed to do, even on a small budget.
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A Film Giant Faces a Quiet Collapse
In 2000, Fujifilm looked safe. According to a Kodak versus Fujifilm analysis published by PetaPixel, film made up about 60 percent of its revenue and roughly two thirds of its operating profit. Then digital cameras arrived, and film demand began a steep fall. Kodak, its great rival, filed for bankruptcy protection in 2012.
Fujifilm’s president, Shigetaka Komori, faced a sharper question than “how do we sell more film?” He had to ask what the company’s skills could still do for customers. Reported decisions include a reform plan called VISION 75 in 2004, closing film capacity, and cutting thousands of jobs. The company also reused its film chemistry. The oxidation that fades a photograph is related to the oxidation that ages skin, and in 2007 Fujifilm launched the Astalift skincare line. It then bought its way into healthcare, including Toyama Chemical in 2008.
The result is measurable. Company segment data summarised by Fstoppers shows imaging falling from 54 percent of revenue in 2001 to 13 percent in 2021, while healthcare and materials grew into the largest part of the business.
My interpretation (not a documented fact): Fujifilm did not win with AI. It won by changing the question from “what do we make?” to “what can we do for people?” Technology served that answer. It did not replace it. The change was painful and uncertain, and one success story cannot promise the same result for your company.
What Is Your Business Really Designed to Do?
Most businesses describe themselves by their product: we sell shoes, we audit accounts, we teach maths. Customers want comfortable feet, trusted numbers, a child who understands fractions.
A business is designed to solve a specific customer problem at a profit. Products, departments and workflows are only the current method. Methods age. When a cheaper or better method appears, a business that confuses its method with its purpose gets left behind.
Why Technology Alone Cannot Save an Outdated Model
AI makes a process faster. It does not tell you whether the process matters. A slow approval chain with six signatures becomes a fast approval chain with six signatures. A report nobody reads becomes a report nobody reads, produced in seconds.
If your offer is weak or customers are leaving for good reasons, AI will not fix that. It will scale the problem. Strategy comes first, tools second.
Rethink What Your Business Does , Not Just How
Here is the difference in simple terms. Technology adoption means using AI to perform existing tasks more efficiently. Business redesign means questioning the task, removing what is unnecessary and creating better value for the customer.
| Technology adoption | Business redesign | |
|---|---|---|
| Starting question | How can we do this faster? | Should we do this at all? |
| Focus | Tasks and tools | Customer problems and outcomes |
| Typical result | Lower cost on the same work | Different work, new value |
| Risk | Automating the wrong thing | Change fatigue, upfront effort |
| Success measure | Hours saved | Customer results, quality, growth |
Adoption is often a good first step. The danger is stopping there.
What the Data Actually Says
McKinsey’s The state of AI in 2025, published 5 November 2025, surveyed 1,993 respondents across 105 countries. It found that 88 percent of organisations use AI in at least one function, but only 39 percent report any enterprise level profit impact, and about 6 percent qualify as high performers, meaning 5 percent or more of earnings before interest and tax is attributed to AI. High performers were nearly three times as likely to have fundamentally redesigned workflows.
An earlier McKinsey edition, from March 2025, tested 25 organisational factors and found workflow redesign had the biggest effect on profit impact from generative AI. Only about 21 percent of generative AI users had redesigned at least some workflows. Secondary coverage says the August 2026 edition shows a similar gap, so check that report before quoting it.
What this means: using AI is common, but earning from it is not. What it does not prove: these are self reported surveys that show association, not cause. Redesign probably helps, but we cannot say it guarantees results.
Three ideas often get mixed up. Adoption means people use the tool. Productivity gains mean tasks get faster. Transformation means the business earns or serves differently. The first does not guarantee the second, and the second does not guarantee the third.
The Five Step Business Rethinking Framework
Step 1: Question the purpose. Write one sentence naming the customer problem you solve, without naming a product. Action: ask five recent customers why they bought.
Step 2: Identify unnecessary work. Look for repeated tasks, duplicated checks and reports without readers. Action: list your ten most time consuming activities and mark any a customer would not miss.
Step 3: Discover AI opportunities. Match tools to the work that remains: drafting, sorting, forecasting, answering routine questions. Action: pick one task that is frequent, rules based and low risk.
Step 4: Redesign the operating model. Change who does what. Do not simply add a tool to the old flow. Action: redraw one workflow on paper with AI included from the start, then remove steps that no longer make sense.
Step 5: Measure meaningful outcomes. Track customer satisfaction, quality, cost, employee experience and growth, not only hours saved. Action: choose three measures before the pilot starts.
Real World Business Examples
The examples below are hypothetical. They show how the framework could work and are not real company results.
Small business: a local grocery store. Problem: too much unsold stock and too little time to answer customers. Change: use sales records and a simple forecasting tool to order by demand, and a chat assistant on WhatsApp for opening hours and stock questions. Benefit: less waste, more owner time on customers. Risk: poor sales data gives poor forecasts, and customers still need a human option.
Large organisation: an insurance company. Problem: claims pass through five departments, each checking the same details. Change: redesign the claim as one journey, with AI reading documents and flagging unusual cases, and staff handling only exceptions. Benefit: faster settlement and fewer handovers. Risk: biased data can unfairly reject claims, so human review and audit trails are essential.
Service business: a small consultancy or tutoring centre. Problem: staff spend hours writing reports and lesson materials. Change: AI drafts first versions from templates, while experts spend the saved time on advice and student progress. Benefit: more personal attention, which is the real product. Risk: wrong or generic AI content, so every output needs expert checking.
The Advantages and Limitations of Rethinking
Advantages: better productivity, faster decisions, better customer experiences, less repetitive work, smarter use of resources, new products and wider chances for small firms.
Limitations and risks: poor or biased data, privacy and security threats, setup and maintenance costs, employee resistance, skills gaps, overdependence on automated systems, incorrect AI output, and legal and ethical duties. The NIST AI Risk Management Framework is a useful guide here. The biggest risk is simple: automating a process that should have been removed.
Common Misconceptions
Misconception 1: “A business becomes future ready simply by introducing AI.” Tools do not choose direction. Before selecting technology, you must understand your customers, purpose, operating model and what makes you different. Without that, AI becomes an expensive way to repeat old habits.
Misconception 2: “Redesign means replacing people.” Redesign means changing work. The World Economic Forum’s Future of Jobs Report 2025, published 7 January 2025, says employers expect 39 percent of workers’ core skills to change by 2030. It also reports analytical thinking as the top core skill, with about seven in ten companies calling it essential. Judgement, empathy and good questions become more valuable.
Your 30 Day Business Rethinking Plan
Week 1: Write your customer problem in one sentence. Talk to five customers and note what they truly value.
Week 2: Audit your processes. Mark each as preserve, eliminate, automate or redesign.
Week 3: Test one low risk AI or digital tool on a small scale, with a named owner and no sensitive data.
Week 4: Compare results with the three measures from Step 5. Record what failed. Decide what to redesign next.
What the Future Holds
AI will become a normal part of office software, so the tool itself will stop being an advantage. What will separate businesses is the quality of their questions: what to keep, what to drop and what to build new.
Conclusion
The greatest opportunity may not be doing the same work faster. It may be deciding which work deserves doing at all. Fujifilm did not survive by polishing film production. It asked what its skills could do for people and rebuilt around the answer. Ask the same question of your business this month, then let technology serve what you decide.
Frequently Asked Questions
1. What does it mean to rethink what your business is designed to do? It means going back to the customer problem you exist to solve and checking whether your current products, processes and structure still solve it well.
2. What is the difference between automation and transformation? Automation speeds up an existing task. Transformation changes what the business does or how it creates value, sometimes by removing the task entirely.
3. Can a small business benefit from AI driven change? Yes. Start with one low cost, low risk task, such as drafting replies or forecasting stock, and measure the result before spending more.
4. Which processes should be redesigned first? Start with those that are frequent, slow, frustrating for customers or involve many handovers. Remove pointless steps before automating the rest.
5. How do I measure whether the change worked? Track customer satisfaction, quality, cost, employee experience and growth over time. Hours saved alone can mislead.
6. Does AI replace the need for strategy? No. AI can support decisions, but it cannot decide your purpose or customers. Poor strategy plus AI simply produces poor results faster.