Technology
Why Integrating Apps, Democratising Automation Should be Cornerstone of Every IT Strategy
By Linda Saunders
As businesses look to transform the AI world, the demand for AI and automation tools is growing, intensifying the pressure on IT teams to deliver. This is especially true for the African continent.
IT leaders across Africa are grappling to establish the governance and processes required to master the basics with widening digital skills gaps, disconnected systems, and compliance concerns among their top concerns.
This is according to MuleSoft’s 2024 Connectivity Benchmark Report, which found that among 1,050 IT Leaders worldwide, 98% say they are facing challenges regarding digital transformation.
81% of IT Leaders report the persistence of data silos, and 72% cite the fragility of tightly coupled and highly dependent systems as the top challenge holding them back from AI adoption.]
For businesses looking to stay ahead in an AI-powered future, integration and automation will be essential. The role of the CIO and other IT leaders is becoming more critical than ever. The savviest business leaders are turning to their IT leaders to help drive their businesses’ AI strategy forward.
While 85% of IT leaders expect AI to boost developer productivity, they flag that both security and trust remain barriers to adoption. An additional 64% of IT leaders are concerned with ethical AI usage and adoption.
This includes establishing and communicating a clear strategy for execution that addresses both compliance and skills gap concerns.
Integration is the foundation for connected customer experiences
With the adoption of AI tools rising rapidly among the general public, demand for AI-first customer experiences will follow. Today’s customers have come to expect exceptional experiences supported by well-connected data through integrated systems.
Nearly three-quarters (70%) of customer experiences are now entirely digital, but only 26% of organizations report providing a completely connected user experience across all channels.
This is why a single, unified, and real-time view of every customer, at scale, is the intelligent heart of customer engagement. Across all industries, there’s a greater need for better integration to unify all structured and unstructured business data to power and deploy trusted, relevant AI across business functions.
While AI has the power to drive efficiency, it is dependent on integrated data, and it’s creating more complexity for integration strategies. Organisations have to balance nearly 1000 applications to create a cohesive experience for end users.
IT Leaders acknowledge that data silos and systems fragility are holding their companies back from AI adoption. Over 90% of IT leaders are experiencing integration issues.
A significant minority of organisations are architected for AI success, where only 2% report no significant barriers to utilising their data for AI use cases. Concerns around integration are twofold: the difficulty integrating generative AI features with other software systems and the need for integration between existing systems.
Organisations that have adopted an integration strategy have reported a vast array of benefits. From customer experience, more significant ROI, and automation implementation, integration positively impacts the organisation. Failure to close the gap between integrated/connected applications will prevent AI from meaningfully improving employee or customer experiences for most organisations for the foreseeable future.
Democratising automation and establishing data governance will unlock greater productivity
Automation remains a source of contention for IT leaders. IT relies on automation solutions to drive efficiency and provide business users with autonomy. According to McKinsey, current generative AI and other technologies have the potential to automate work activities that absorb 60 to 70 per cent of employees’ time today.
Yet IT teams are still largely responsible for governing and maintaining the automation process, and the workload that is required to implement solutions can counter the intended benefits.
To scale, automation solutions highlight an opportunity for business teams to self-serve and ease the burden on IT. As businesses increasingly look to automation to drive efficiency, APIs can become a powerhouse for productivity and revenue. IT leaders report that APIs allow them to drive agility and promote self-service (54%), increase productivity (48%), and even benefit business teams and help meet their demands (46%).
Managing and securing the data that underpins these APIs at scale has become increasingly complex. By establishing data governance – setting the rules or policies by which information is collected, managed, stored, measured, and communicated – companies can set the foundations for success.
With the right governance parameters in place, automation can be democratized, which would free up IT teams to tackle technology challenges with increased complexity.
With the support of the wider business, they can unlock the benefits of AI applications and data integration and governance, paving the way for a more productive, efficient AI-powered future.
Linda Saunders is Salesforce’s Director of Solutions Engineering for Africa
Technology
Emergent Ventures, Others Invest $2.2m in Potpie
By Dipo Olowookere
About $2.2 million pre-seed round to help engineering teams unify context across their entire stack and make AI agents genuinely useful in complex software environments has been announced by Potpie.
Potpie was established by Aditi Kothari and Dhiren Mathur, who were determined to unify context across the entire engineering stack and enabling spec driven development.
As generative AI adoption accelerates, most tools focus on surface-level code generation while ignoring the deeper problem of context.
Large language models are powerful, but without access to system-level understanding, tooling history, and architectural intent, they struggle in real production environments.
Traditional approaches rely on senior engineers to manually hold this context together, a model that breaks down at scale and fails when AI agents are introduced.
The platform enables teams to automate high-impact and non-trivial use cases across the software development lifecycle, like debugging cross-service failures, maintaining and writing end-to-end tests, blast radius detection and system design.
It is designed for enterprise companies with large and complex codebases, starting at around one million lines of code and scaling to hundreds of millions.
Rather than acting as another coding assistant, Potpie builds a graphical representation of software systems, infers behaviour and patterns across modules, and creates structured artefacts that allow agents to operate consistently and safely.
A statement made available to Business Post on Monday revealed that the funding support came from Emergent Ventures, All In Capital, DeVC and Point One Capital.
The capital will be used to support early enterprise deployments, expand the engineering team, and continue building Potpie’s core context and agent infrastructure, it was disclosed.
“As AI makes code generation easier, the real challenge shifts to reasoning across massive, interconnected systems. Potpie is our answer to that shift, an ontology-first layer that helps enterprises truly understand and manage their software,” Kothari was quoted as saying in the disclosure.
A Managing Partner at Emergent Ventures, Anupam Rastogi, said, “In large enterprises, the real challenge is not generating code, it is understanding the system deeply enough to change it safely.
“Potpie’s ontology-first architecture, combined with rigorous context curation and spec-driven development, creates a structured model of the entire engineering ecosystem. This allows AI agents to reason across services, dependencies, tickets, and production signals with the clarity of a senior engineer. That is what makes Potpie uniquely capable of solving complex RCA, impact analysis, and high-risk feature work even in codebases exceeding 50 million lines.”
Technology
Expert Reveals Top Cyber Threats Organisations Will Encounter in 2026
By Adedapo Adesanya
Organisations in 2026 face a cybersecurity landscape markedly different from previous years, driven by rapid artificial intelligence adoption, entrenched remote work models, and increasingly interconnected digital systems, with experts warning that these shifts have expanded attack surfaces faster than many security teams can effectively monitor.
According to the World Economic Forum’s Global Cybersecurity Outlook 2026, AI-related vulnerabilities now rank among the most urgent concerns, with 87 per cent of cybersecurity professionals worldwide highlighting them as a top risk.
In a note shared with Business Post, Mr Danny Mitchell, Cybersecurity Writer at Heimdal, said artificial intelligence presents a “category shift” in cyber risk.
“Attackers are manipulating the logic systems that increasingly run critical business processes,” he explained, noting that AI models controlling loan decisions or infrastructure have become high-value targets. Machine learning systems can be poisoned with corrupted training data or manipulated through adversarial inputs, often without immediate detection.
Mr Mitchell also warned that AI-powered phishing and fraud are growing more sophisticated. Deepfake technology and advanced language models now produce convincing emails, voice calls and videos that evade traditional detection.
“The sophistication of modern phishing means organisations can no longer rely solely on employee awareness training,” he said, urging multi-channel verification for sensitive transactions.
Supply chain vulnerabilities remain another major threat. Modern software ecosystems rely on numerous vendors and open-source components, each representing a potential entry point.
“Most organisations lack complete visibility into their software supply chain,” Mr Mitchell said, adding that attackers frequently exploit trusted vendors or update mechanisms to bypass perimeter defences.
Meanwhile, unpatched software vulnerabilities continue to expose organisations to risk, as attackers use automated tools to scan for weaknesses within hours of public disclosure. Legacy systems and critical infrastructure are especially difficult to secure.
Ransomware operations have also evolved, with criminals spending weeks inside networks before launching attacks.
“Modern ransomware operations function like businesses,” Mitchell observed, employing double extortion tactics to maximise pressure on victims.
Mr Mitchell concluded that the common thread across 2026 threats is complexity, noting that organisations need to abandon the idea that they can defend against everything equally, as this approach spreads resources too thin and leaves critical assets exposed.
“You cannot protect what you don’t know exists,” he said, urging organisations to prioritise visibility, map dependencies, and focus resources on the most critical assets.
Technology
NCC Begins Review of National Telecommunications Policy After 26 Years
By Adedapo Adesanya
In a consultation paper released to the public, the commission said it is seeking input from stakeholders, including telecom operators, tech companies, legal experts, and the general public, on proposed revisions designed to reposition Nigeria’s telecommunications framework to match current digital demands. Submissions are expected by March 20, 2026.
The NTP 2000 marked a turning point in Nigeria’s telecom landscape. It replaced the 1998 policy, introducing full liberalisation and a unified regulatory framework under the NCC, and paved the way for the licensing of GSM operators such as MTN, Econet (now Airtel), and Globacom in 2001 and 2002.
Prior to the NTP, the sector was dominated by Nigerian Telecommunications Limited (NITEL), a government-owned monopoly plagued by obsolete equipment, low teledensity, and poor service. At the time, Nigeria had fewer than 400,000 telephone lines for the entire country.
However, the NCC noted that just as the 1998 policy was overtaken by global developments, the 2000 framework has become structurally misaligned with today’s telecom reality, which encompasses broadband, 5G networks, satellite internet, artificial intelligence, and a thriving digital economy worth billions of dollars.
“The rapid pace of technological change and emerging digital services necessitate a comprehensive update to ensure the policy continues to support economic growth while protecting critical infrastructure,” the Commission stated.
The review will target multiple chapters of the policy. Key revisions include: Enhancements on online safety, content moderation, digital services regulation, and improved internet exchange protocols; a modern framework for satellite harmonisation, coexistence with terrestrial networks, and clearer spectrum allocation to boost service quality, and policies to address fiscal support, reduce multiple taxation, and lower operational costs for operators.
The NCC is also proposing entirely new sections to the policy to address emerging priorities. Among the key initiatives are clear broadband objectives aimed at achieving 70 per cent national broadband penetration, with a focus on extending connectivity beyond urban centres to reach rural communities.
The review also seeks to formally recognise telecom infrastructure, including fibre optic cables and network masts, as Critical National Infrastructure to prevent vandalism and enhance security.
In addition, the commission is targeting the harmonisation of Right-of-Way charges across federal, state, and local governments, alongside the introduction of a one-stop permitting process for telecom deployment, designed to reduce bureaucratic delays and lower operational costs for operators.
According to the NCC, the review aims to make fast and affordable internet widely accessible. “The old framework was largely voice-centric. Today, data is the currency of the digital economy,” the commission said, highlighting the need to close the urban-rural broadband divide.
The consultation process is intended to gather diverse perspectives to ensure the updated policy reflects current technological trends, market realities, and consumer needs. By doing so, the NCC hopes to maintain the telecommunications sector’s role as a key driver of economic growth and digital inclusion.
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