“With early projections from the Central Energy Fund pointing to increases in the region of R4,27 for 93 Unleaded, R4,74 for 95 Unleaded, and R7,83 for diesel in April, the economic argument for Electric Vehicles (EVs) has never been stronger” shares Tristan Klement, Product Specialist and technical strategist at Specno. 

Klement recently spearheaded the development of a custom-built, end-to-end digital platform for a major national EV charging network, which is aiming to operate across hundreds of locations in South Africa. The project offered a clear view into a market that is evolving rapidly, and one that is now entering its next phase of maturity: “South Africa’s EV ecosystem has grown quickly, and much of the early technology was designed to establish access and reliability. Now, the opportunity exists to refine that experience for the local user, to wildly improve their experience and amenability to make the switch over to EVs” Klement explains. 

Many of the foundational platforms originally used in South Africa to locate charging ports had been adapted from international markets, particularly Europe, where EV adoption is more mature, and the infrastructure landscape is fundamentally different. “In Europe, the challenge is abundance. There are more chargers than a user needs, so platforms are designed to filter and optimise choice,” says Klement. “In South Africa, the context is different. Availability of charging stations is more limited, journeys are more deliberate, and user behaviour is not yet habitual. That requires a different kind of design thinking.” 

As the industry grows, so too do user expectations. Early systems prioritised functionality, ensuring that drivers could locate and access charging points reliably. The next step, designed for deployment across South Africa by Klement and Specno specialists, is about removing friction from the experience itself: “This includes simplifying payment journeys, reducing the number of steps to initiate a charge, and ensuring users do not have to navigate multiple systems or pre-funded wallets” he adds. 

“None of these systems were built incorrectly. They were built for a different moment in time,” Klement notes. “But as adoption grows, the expectation shifts. When you are asking someone to move away from a deeply ingrained behaviour like refuelling with petrol, the alternative has to feel effortless.” 

He argues that EV adoption is not driven by infrastructure alone. It’s shaped by how intuitive, seamless, and accessible the experience feels in everyday use: “Conversion is a product problem,” Klement says. “And in the EV space, that product is not just the car or the charger. It is the entire journey around it.”

To solve this, Klement and his cross-functional team at Specno approached the new platform with a philosophy of radical simplicity. Drawing inspiration from highly intuitive, single-action apps like Shazam and micromobility platforms such as Bolt, they completely rebuilt the user journey. “Our guiding mantra was ‘Find and Pay,’” says Klement. “We stripped away everything unnecessary. The solution we built features a map showing real-time availability of chargers, and a central button that simply says ‘Tap to Start Charging.’ We eliminated the need for RFID cards and manual wallets by integrating Apple Pay and Google Pay. It’s instant, frictionless, and intuitive. This marks a new benchmark for simplicity in South Africa’s EV market.”

The African EV charging market, valued at just $31.93 million in 2022, is projected to expand to $256.53 million by 2030. Meanwhile, the average South African motorist living in a city can already save approximately R14,000 per year by driving an electric vehicle instead of a petrol model.

The long-term vision for South Africa’s EV infrastructure is closely linked to the country’s growing renewable energy sector. With Independent Power Producers (IPPs) investing heavily in wind and solar, particularly in the Northern Cape, which offers some of the strongest solar potential globally, there is a clear pathway to powering EV networks through cleaner energy and reducing reliance on global oil markets and their volatility within the next 5 years. 

However, to unlock this future, Klement believes there is an opportunity for South African tech giants to continue raising the bar through digital design simplification. “Across sectors, from government e-services to major corporate banking platforms, we are seeing an increasing focus on functionality and feature depth,” Klement explains. “The next step is refining how those features are delivered, ensuring that the experience remains intuitive and easy to navigate for the end user.”

He emphasises that simplicity should not be misunderstood as basic: “Simplicity is not a lack of sophistication. It is the outcome of deeply understanding a problem and doing the hard work behind the scenes so the user doesn’t have to,” he says. “South Africa has an incredible opportunity to design solutions that are grounded in our local context, while still being globally competitive. If we can prioritise seamless, user-first experiences, we will be well-positioned to support the transition to electric mobility and green energy in a meaningful way.”

The post The Middle East oil crisis is South Africa’s EV wake-up call  appeared first on Tech Scene ZA.

As South Africa’s warehousing and logistics sector accelerates digitisation to improve efficiency, a growing blind spot is emerging: many digital rack and inspection systems are not built to operate reliably in real warehousing conditions, and the costs are showing up in the margins, not just operations.

While working with various warehousing clients, Specno specialists have noted a disturbing pattern across warehouse management and inspection platforms: systems that look robust on dashboards actually break down at the point where data is actually captured.

“We’ve become so focused on the potential savings of digitisation that we’ve ignored the colossal cost of when these systems inevitably fail. The silent, creeping expenses of bad data, signal loss, and system downtime are creating a financial black hole in South Africa that, for many, is proving more costly than the analogue inefficiencies they sought to escape,” says Joshua Harvey, Head of Growth at Specno.

With South African online retail projected to surpass R130 billion in 2025, online retail is expected to account for nearly 10% of all retail sales in South Africa. In this high-stakes environment, even a minor system glitch doesn’t just cause a hiccup; it triggers a catastrophic financial chain reaction.

“Warehousing software often assumes perfect connectivity, clean workflows, and low-pressure environments,” says Harvey. “But warehouses are fast-moving, offline-prone environments. If inspection data can’t be captured and synced reliably under those conditions, the result isn’t just operational friction, it’s repeat work, delayed reporting, higher support costs, and margin erosion.”

Many warehouse operators have digitised inspections, racking audits, and corrective actions, but without validating whether those systems can handle offline work, high data volumes, and real-world inspector behaviour at scale. Common failure patterns have included inspection data that appears “saved” but is later lost or only partially synced; inconsistent inspection status across mobile, web, and reporting tools; and platforms that slow down, stall, or require manual workarounds as warehouses or sites scale.

The most visible failure noted by Specno has been downtime: “While many South African executives might budget for occasional maintenance, they are unprepared for the reality that a single hour of downtime is now costing the average industrial business over R724,000. For a typical warehouse or distribution center, the figure is estimated to be between R180,000 and R250,000 per hour” adds Harvey.

What inspection data really represents

“In warehousing and logistics environments, inspection data refers to the information captured by inspectors during physical checks of racking, storage structures, and warehouse infrastructure. Inspectors are typically trained field staff who move aisle by aisle, rack by rack, recording observations, damage, load risks, photos, timestamps, and required corrective actions, often under time pressure and in low-connectivity conditions” says Harvey.

This data forms the backbone of reporting, invoicing support, client assurance, and internal decision-making. When inspection data is incomplete, inconsistent, or unreliable, warehouses may face repeat inspections, delayed sign-off, disputed outcomes, and slower revenue recognition.

Why this becomes a margin and scale problem

Harvey concludes that: “Silent data loss and system performance degradation are particularly damaging because they often go unnoticed until operations grow or commercial pressure increases. What starts as a technical inconvenience can quickly become a problem, especially in multi-site or fast-scaling warehouse environments.”

A system that ‘usually works’ forces people to compensate. That compensation shows up as rework, manual checks, longer inspection cycles, delayed reporting, and higher operational overheads. Over time, that directly impacts margins. 

Specno says warehouse operators serious about scaling profitably should be evaluating whether their current digital inspection systems can stand up to this level of operational reality.

The post Specno specialists warn of digital warehousing risks that are costing local businesses over R250 000 an hour   appeared first on Tech Scene ZA.

“South Africa is not short on ambition when it comes to artificial intelligence. What we are short on is execution,” announces Joshua Harvey, Head of Growth at Specno, South Africa’s leading digital innovation agency, the company responsible for launching South Africa’s very own Innovators Den. 

While global benchmarks show South Africa is around 35–40% behind the United States in AI readiness, enterprise data reveals an even wider gap in execution, with AI implementation rates in South Africa sitting at roughly half the level of the US: “This gap reflects not a lack of will, but differences in skills, data infrastructure, organisational alignment, and the integration of AI into core business strategy” adds Harvey. 

He argues that South Africa’s AI challenge stems from a number of execution barriers, not a single missing piece. These barriers are well documented in recent national and academic analyses:

1. Skills Shortage and Workforce Readiness

Last year, SAP reported findings that South Africa faces a critical shortage of AI-related skills, which threatens to limit the country’s competitiveness and the ability of organisations to realise value from AI technologies. Without coordinated investment in training, certification, and workplace upskilling, this gap will widen rather than close.

2. Organisational and Data Readiness

Successful AI implementation is not simply about acquiring tools; it requires robust organisational infrastructure and data readiness. Research on AI adoption frameworks shows that readiness factors, including data quality, executive leadership support, IT capacity, and available resources, are core determinants of whether AI initiatives succeed or fail.

The study also shows that where organisations lack integrated data systems or strong governance structures, AI pilots often stall and fail to scale. 

3. Low Adoption Despite Acknowledged Value

Even where business leaders recognise the benefits of AI, adoption lags. Studies of South African organisations reveal that many executives understand AI value in theory but are constrained in practice by limited IT maturity, risk aversion, and organisational culture factors that inhibit more transformative adoption.

What the United States is doing Differently

“U.S. firms and institutions have aggressively pushed AI into operational workflows, talent development, and business strategy. Even amid challenges, including debates about deployment scale and workforce impact , American companies maintain strong investments in practical AI applications, cross-functional teams, and data architectures that support industrialisation” says Harvey.

In the U.S., a concerted focus on problem-first deployment, where AI is aligned to cost drivers and operational impediments, has influenced both innovation and productivity. While adoption is still uneven across sectors, the integration of AI into core functions such as supply chains, customer service, and decision support is demonstrably more advanced than in South Africa.

What can South Africa do to catch up?

Harvey believes that we cannot work from an aspirational future state: “We must benchmark honestly against where we are today and commit to concrete shifts in capability and practice.”

AI literacy at executive and board level must improve, but this must be matched with practical implementation skills. From data engineers and machine learning operators to product managers who can translate business needs into technology outcomes.South Africa’s strongest opportunities lie in sectors such as financial services, healthcare, energy, and logistics;  areas where inefficiency is measurable and improvements deliver real value. AI must address tangible, locally relevant problems that matter to the economy and citizens.

Government, Industry, and Academia must Collaborate

“Filling the skills gap and strengthening data ecosystems requires coordinated action across all sectors. National initiatives that support training, certification, and research collaborations can accelerate readiness and ensure South Africa’s workforce is prepared for the demands of AI-driven economic participation. South Africa stands at a pivotal point. The next 12 months will determine whether we remain followers, or whether we narrow the execution gap and build AI systems that are robust, ethical, and commercially viable in our context” concludes Harvey.

Businesses looking to operationalise AI responsibly, pragmatically, and at scale are encouraged to engage with Specno, a local digital innovation agency focused on turning complex technology into viable, production-ready solutions that solve real-world problems.

The post Studies show SA trails the U.S. in AI implementation by 50%: confirmed by SA’s leading digital innovation agency  appeared first on Tech Scene ZA.

South Africa – As global organisations race toward 2026, Specno is issuing a clear warning: businesses that do not rethink how they build digital products will be left behind in what leaders are calling the fast-fashion era of tech.

With AI now enabling rapid development at unprecedented speed, the competitive landscape has fundamentally changed. Speed alone no longer wins; in fact, it increases the risk of launching products that are misaligned, commercially weak, or easily duplicated.

“Sam Altman said it best: we’re entering the fast-fashion era of tech building,” says Joshua Harvey, Head of Growth at Specno. “Anyone can create something quickly today, but very few are creating the right thing. In 2026, product discipline will become the new measure of competitiveness.”

The rise and risk of fast-fashion tech for Africa

Businesses across Africa and the world are falling into the same pattern: building fast, copying trends, skipping validation, and flooding the market with disposable digital tools. The consequences are predictable: high burn rates, missed product–market fit, and a growing graveyard of failed apps.

Harvey adds, “Businesses are shipping features instead of understanding behaviour. They’re building quickly instead of building intentionally. The result is a wave of products that launch with excitement but fade just as fast.”

What does this mean for builders?

As low-effort tools saturate the market, companies are realising that differentiation no longer comes from speed, it comes from strategic clarity. The winners will be the ones who treat product as a craft: selective, evidence-based, and commercially grounded. This shift is driving organisations to seek premium product consulting rather than simple development. 

Specno, a local digital innovation agency, has positioned its Product Strategy practice to meet this need, serving as a partner that ensures businesses build the right product before writing a single line of code.

Specno does this by ensuring a clear, end-to-end product strategy that focuses on real customer validation, strong value propositions, data-driven UX design, precise guidance for engineering teams, and commercialisation support that drives adoption, growth, and long-term scalability.

“We work with leaders who understand that premium products aren’t rushed, they’re meticulously engineered,” Harvey says. “Our goal is simple: eliminate the guesswork, reduce the risk, and help companies build products that matter, last, and perform.”

Are South African businesses ready for 2026?

Specno advises executives to review their product readiness across five critical questions:

1. Do you know exactly who your customer is – and why they’ll choose you?
2. Have you validated behaviour, demand, and willingness to pay?
3. Are decisions guided by evidence or internal assumptions?
4. Would your product survive in a fast-fashion tech market?
5. Do you have an iteration, data, and relevance strategy?

If the answer to any of these is “not fully,” it means there’s room to refine, validate, and set the product up for greater success.

Specno emphasises that the next decade will not be shaped by how fast companies build, but by the clarity, intention, and evidence behind what they choose to build. In an era where anyone can build quickly, the businesses investing in disciplined product thinking will be the ones that stand out, scale, and set the pace for Africa’s digital future.

The post Specno warns: “2026 will separate the builders from the breakthroughs” as fast-fashion tech floods the market appeared first on Tech Scene ZA.

A recent MIT report featured in Fortune magazine revealed that ninety-five percent of generative-AI pilot projects are failing, resulting in investors pulling back and misrepresenting this as a failure of the technology itself.

However, the real failure lies in the way organisations are adopting and managing it. AI does not break business; a poor strategy does. The problem is not how AI has failed to deliver but how too many companies have rushed into it without a plan.

“Too many organisations start with a solution and then look for a problem. This is a wholly redundant approach. Instead, it should be the reverse: identifying a hurdle and assessing whether AI can realistically mitigate it. This requires clarity on workflows, data quality, and change-management processes; the same fundamentals that determine success in any complex software project,” says Daniel Novitzkas, Chairman of Specno.

“The MIT study shows that generic, off-the-shelf AI tools may be adequate for individuals but regularly fail in complex business environments. By contrast, bespoke AI tools designed by specialists enjoy a sixty-seven percent success rate, far higher than the thirty-three percent success rate of internally built tools. The lesson is clear: technology must adapt to the business, not the other way around,” Novitzkas adds.

For South African businesses, the imperative is not whether to adopt AI, but how. The country faces slow economic growth, collapsing infrastructure, and intensifying competition from global giants such as Amazon and Walmart. In such an environment, efficiency is not optional but rather essential. AI offers a practical way to do more with less: automate repetitive tasks, improve forecasting accuracy, and enrich customer insights.

Novitzkas clarifies that “caution is naturally healthy, but fear should not invalidate action. AI’s value rarely arrives with fanfare; it appears quietly in shorter service queues, smarter inventory management, and fewer compliance errors; the kinds of improvements that build resilience over time. When leaders see AI as a tool to enhance core processes, the results are tangible: saved time, reduced costs, and accelerated development.”

“Practical examples from technology partners such as Specno demonstrate what deliberate integration can achieve. Using AI in product development and validation, Specno and its clients have cut validation cycles significantly,, while reducing project costs by up to thirty percent. By embedding AI into traditional workflows and automating design, testing, and analysis, companies are delivering faster, more efficiently, and with greater confidence,” Novitzkas continues. 

“It has never been easier for companies to get the right help. The strategic deployment of AI in the early stages of developing a Minimum Viable Product enables a shorter feedback loop, allowing businesses to make critical decisions more quickly. This faster turnaround means more time dedicated to input and iteration, resulting in stronger, more reliable systems that minimise disruption to operations,” Novitzkas describes. 

Still, many businesses treat AI as a shiny add-on rather than embedding it into their core operations. This adoption gap remains one of the biggest barriers to success. Technology cannot compensate for the absence of strategy, governance, or skilled people. Sustainable adoption requires all three: clear direction, capable teams, and thoughtful process design.

“AI is not a magic bullet. It is objectively a tool. When integrated with clarity and purpose, it has the power to transform efficiency, sustainability, and competitiveness. The future is already rewarding those who choose to make it work intelligently,” Novitzkas concludes.

The post MIT study warns that 95% of AI pilot projects fail: SA businesses must act wisely appeared first on Tech Scene ZA.

Specno and Tentra launch AI-powered rental platform to transform tenant onboarding & rental application processes in SA

South African technology companies Specno and Tentra are pleased to announce the launch of a new AI-powered home rental platform in South Africa. By leveraging the full capabilities of AI-enabled systems, Tentra aims to streamline rental applications in our country, to benefit both agents and prospective tenants, by simplifying administrative processes while also improving the speed and quality of applicant matching.

“The traditional ways of working in our rental market are inefficient for all parties,” says Joram Hinds, Founder & CEO at Tentra. “Prospective tenants are often required to complete numerous versions of similar application forms with no guarantee of a response. In many cases, they pay a processing fee only to be rejected weeks or months later for not meeting specific criteria. At the same time, rental agents receive high volumes of applications and must manually screen many unqualified candidates before identifying a suitable tenant.”

Tentra’s entry into the market introduces a technology-driven solution intended to reshape this landscape. Through Tentra’s platform, applicants complete a single reusable profile that can be submitted to multiple listings, with pre-qualification taking place before any viewing. Communication with agents is hosted on the platform through real-time updates and notifications.

For applicants, the result is a single, streamlined process. For agents, the platform functions as an efficient screening mechanism for qualified candidates. The platform was developed in partnership with Specno, Africa’s leading digital innovation agency and award-winning technology solutions provider.

Specno was able to accelerate the prototyping phase for Tentra by applying its proprietary AI toolkit to Tentra’s product specifications. This has resulted in the development of a sorely needed product in South Africa’s rental market.

“The digital tool we developed for Tentra now provides rental agents in South Africa with an instant, data-driven view of applicant strength at the click of a button. This, in turn, will lead to better rental affordability conversations, a reduction in fraudulent applications, and healthier property market dynamics” comments Joshua Harvey, Head of Growth at Specno.

Market validation has involved engagement with leading names in the rental industry, including Pam Golding and RE/MAX Southern Africa. These interactions confirmed Tentra’s belief in the need to modernise and streamline the sector.

“South Africa’s rental market is particularly challenging in high-demand areas such as Cape Town and Johannesburg,” says Hinds. “There is no reason why access to a comfortable, affordable home should entail anxiety and countless rejections. Tentra’s objective is to simplify and standardise the process of securing a home, injecting transparency and trust into the rental relationship.”

To find out more and sign up, rental agents can visit https://www.tentra.co.za/ 

The post Specno and Tentra launch AI-powered rental platform to transform tenant onboarding & rental application processes in SA appeared first on Tech Scene ZA.

Johannesburg, South Africa – Africa’s leading digital innovation agency, Specno, hosted the annual Innovators Den in Johannesburg last week, drawing together founders, product leaders and executives for a practical discussion on converting AI buzz into measurable business value. The discussion equipped innovators with tools they could apply immediately inside their organisations.

Moderated by Specno Co-founder and Chair, Daniel Novitzkas, the panel brought together Harry Lee, CTO at Melio AI, Priaash Ramadeen, co-founder at the Awareness Company and Simbarashe Mafukidze, Business Improvement Manager at Vodacom; operators who have been deploying AI in production long before it was popular. Their conversation centred on three imperatives: cut through hype, get data-ready, and iterate for return on investment.

The discussion positioned AI as a business enabler rather than a replacement tool. Speakers highlighted that meaningful progress begins with human augmentation, helping individuals and teams work faster and smarter, before scaling efficiencies organisation-wide.

A strong emphasis was placed on moving beyond “proof-of-concept fatigue”. Instead of producing theoretical reports, businesses were encouraged to pursue small, in-production wins that reduce manual processes, enhance productivity, and improve customer experience.

The panel also reinforced the need for both an AI strategy and a data strategy. As adoption accelerates, companies must link AI initiatives directly to financial outcomes, quantifying productivity gains, managing computational spend, and ensuring measurable value creation.

Daniel Novitzkas, Co-founder and Chair of Specno, said the next wave of innovation will be defined by accessibility and personalization: “We’re moving into a world where every individual and every team will have their own AI co-pilot, an intelligent assistant tuned to their tone, workflows and decision-making style. The challenge now is to make sure that capability reaches everyone, not just a privileged few.”

He added that Africa’s opportunity lies in local adaptation, not imitation: “If we invest in African language models and digital education, we can give people the tools to transform their own lives and communities. Access to AI shouldn’t depend on geography or language, it should be universal.”

The Innovators Den offered a hands-on forum for product teams and executives who wanted to make AI real inside their businesses. Sessions featured builders who shared hard-won lessons, with an interactive Q&A session that helped attendees move from curiosity to capability.

“We’re here to cut through fluff and help teams ship value,” says Novitzkas, “Innovators Den exists so African builders can focus on what to build while AI accelerates the how.”

Any companies or innovators interested in leveraging the full extent of AI in their businesses can reach out to the Specno team for advice, support and assistance via www.specno.com. 

The post Innovators Den hosted in JHB cuts through AI hype to help business leaders build practical advantage appeared first on Tech Scene ZA.

Cape Town, South Africa – “Artificial intelligence has crossed a critical threshold. For the first time in history, our tools are learning to improve themselves. This moment marks the dawn of what experts call superintelligence, the machine learning capabilities that could one day surpass human performance in nearly every domain” comments Daniel Novitzkas, Chairman of Specno, Africa’s leading digital innovation agency.

According to Novitzkas, the question is no longer if this future will arrive, but what form it will take, and who it will serve.

“If superintelligence is centralised in the hands of governments and global corporations, human agency will shrink. We risk becoming passive consumers in a system designed for profit and control. But if we build AI as personal superintelligence – or PSI – we can unlock a future that multiplies human potential rather than diminish it,” argues Novitzkas.

Centralised AI, he explains, risks entrenching monopolies of information, wealth, and power. The alternative – personal superintelligence – offers a decentralised system that belongs to individuals and is tailored to their unique goals, values, and strengths. Rather than dissolving individuality in the pursuit of efficiency, PSI would magnify diversity, giving people the tools to learn, create, and innovate on their own terms.

“The potential applications of PSI are vast. A student struggling with dyslexia could learn through an AI tutor designed precisely for their cognitive style. A farmer in Limpopo could receive real-time, personalised guidance on soil health and weather conditions. A young musician could collaborate with an AI attuned to their creative rhythm, while a personalised health coach could continuously monitor biometrics, predicting and preventing illness years before symptoms appear” states Novitzkas. 

“Personal superintelligence isn’t about replacing people – it’s about augmenting them,” he explains. “The student still learns, the entrepreneur still builds, the farmer still farms, but each with supercharged capacity.”

For Africa, the implications are profound. Just as mobile phones allowed the continent to leapfrog landline infrastructure, PSI could democratise access to world-class expertise, placing tutors, doctors, and business advisors directly into the hands of millions. 

Communities once excluded from global opportunities could find themselves at the cutting edge of human capability. Yet the danger is equally clear: if personal superintelligence is ignored, the future will default to centralisation, calcifying inequality and entrenching dominance in the hands of a few.

“This debate can’t stay confined to Silicon Valley,” Novitzkas warns. “The decisions we make now, about whether intelligence is centralised or personal, will shape the next century of human life. Africa has the chance not just to catch up, but to leap ahead.”

Specno is urging policymakers, innovators, and industry leaders to recognise PSI as humanity’s next great leap forward. Without intentional design and distributed frameworks, superintelligence risks becoming humanity’s greatest divide instead of its greatest breakthrough.

The post Africa’s leading digital innovation agency warns: Future of AI in SA will define who holds power  appeared first on Tech Scene ZA.