Nigerian businesses are under pressure to control costs, raise productivity and stay competitive, and new platforms promise greater efficiency, faster decisions and stronger performance. But buying more technology does not make a business more productive. What matters is whether the company has identified the right problem, chosen a suitable solution and checked that it improves how the organisation operates.

Technology competes with other claims on scarce resources. A business may have to choose between automating a process, improving its data, replacing an old system or training its staff. Without a clear commercial objective, new technology adds complexity and recurring costs while the underlying weakness remains. The starting point should be the business itself.

Leaders need to know where time is being lost, which processes create avoidable costs, where decisions rest on incomplete information and what stops employees from working effectively. They also need a baseline. A manufacturer hoping to reduce downtime must know how often its equipment fails and what each interruption costs before investing in automation. A business trying to improve procurement should track purchasing costs, approval times, supplier performance and compliance. Without these figures, management cannot tell real improvement from the appearance of progress.

Technology decisions are often left to the IT department. Technical teams are essential for evaluating systems, managing implementation and protecting data, but business leaders must say what outcome the investment is meant to achieve. A system can work exactly as designed and still miss the problem that justified buying it. Objectives, operational requirements and measures of success should be agreed before implementation, with business and technology teams sharing responsibility for the results.

Enterprise software shows why. An enterprise resource planning system can give visibility across finance, procurement, inventory and production, but only if the records are reliable and the processes sound. Where departments keep inconsistent records or rely on disconnected manual procedures, a sophisticated platform will simply reproduce the old weaknesses. Artificial intelligence is similar. Computer vision and machine learning can spot production defects, monitor safety risks and reveal patterns that would otherwise go unnoticed, but they depend on good data, proper deployment and staff who can interpret the results and act on them. Firms must also weigh privacy, cybersecurity, reliability and the consequences of inaccurate outputs. An application whose results cannot be trusted, or whose running costs exceed its benefits, is a poor investment, however impressive it looks.

In Nigeria, the cost of doing business can eat into the gains expected from digital investment. Manufacturers deal with unreliable grid electricity, expensive backup generation, exchange-rate volatility and delays in moving raw materials between ports, warehouses and factories. Retailers and distributors face fragmented supply chains, inconsistent inventory records and unpredictable deliveries. Forecasting software has limited value if the data behind it are incomplete, and automated equipment will not deliver the expected savings if power cuts keep halting production.

Costs also need to be counted in full. Imported equipment, software licences priced in foreign currency, connectivity, maintenance and training can make an affordable purchase expensive over time, and smaller firms may lack the staff to link new systems with their accounting, sales and inventory tools. Technology remains worth pursuing, but firms do best when they choose applications that address a specific constraint, are affordable to maintain and work within the infrastructure available to them.

Take a food processor trying to cut losses on perishable goods. Digital stock tracking and demand forecasting could help it match purchases to sales and flag products nearing expiry. Still, the gains depend on accurate stock records, adequate cold storage and transport that reaches the market on time. The software improves decisions; it cannot supply the infrastructure and discipline those decisions rely on.

For that reason, businesses should begin with manageable, measurable projects rather than committing scarce capital to large-scale transformation before the likely returns are known. A manufacturer could monitor machine downtime on one production line. A distributor could test route-planning software on a busy delivery corridor, where accurate delivery records and reliable information on roads and customer locations will decide the result. A retailer could introduce digital stock tracking to reduce discrepancies. Each project should have an owner, a budget, a baseline and a review date. Management should compare results with the original position and expand only when the evidence shows lower costs, better output or improved service. When a project fails, we should understand the reasons before committing more money.

People must stay central to the process. Employees need to understand why a system is being introduced, how it changes their responsibilities and what training is available. Resistance may reflect poor design, unrealistic expectations or too little consultation, so it deserves a hearing. Businesses should involve the employees who understand the operational problem and assign clear responsibility for data quality, cybersecurity and maintenance. Smaller firms that cannot afford specialists may benefit from shared technical services and dependable local support.

Some barriers lie beyond any single firm. Federal and state authorities can improve electricity reliability and broadband access, simplify business registration and tax compliance, and move public services onto secure digital platforms. Clear and consistent data protection and cybersecurity requirements become more important as more business is conducted electronically. Regulation should protect consumers and businesses without piling up overlapping obligations that small enterprises cannot meet.

Lenders have a part to play as well. Commercial banks and development finance institutions could assess viable technology investments on projected cash flow and productivity gains instead of relying only on collateral. Financing for equipment, enterprise software, cybersecurity and staff training would let small and medium-sized businesses modernise without exhausting their working capital. Any government-backed facility should publish its eligibility criteria, lending terms, beneficiaries, repayment performance and results, and should be judged on the productivity, output or employment it adds rather than the amount of money it disburses.

The rapid development of artificial intelligence, automation and data-driven tools will make these choices weigh even more heavily. No Nigerian business can adopt every new application, and a competitor’s investment is not necessarily the right one for another firm. Technology gives a company an advantage when it helps solve a real problem better than before. For most Nigerian businesses, that means producing more efficiently and serving customers better in a difficult operating environment.

David Asama Dogeni, Senior Vice President of Technology & Head of the 1879 Tech Hub, UAC of Nigeria PLC