Technology
Trusted AI Needs Human at the Helm
By Linda Saunders
AI promises to make our jobs easier, our work more productive, and our businesses more valuable. New research from Slack finds that 80% of employees using generative AI tools are experiencing a boost in productivity — and that’s just the beginning.
And, with the introduction of AI assistants — including Salesforce’s own Einstein Copilot — the potential for businesses is only growing. AI assistants can already answer questions, generate content, and dynamically automate actions. And someday, these assistants will become digital sales and service agents, anticipating our needs and operating on our behalf.
But with each new AI advancement comes new ethical concerns. It’s one thing if an AI assistant offers a bad product recommendation, but if it takes misguided actions on real-world concerns like personal finances or medical information — the stakes suddenly become much higher.
As we enter this new era of human-AI interaction, how can we harness the power of AI without opening ourselves up to dangerous risks?
Keeping a human at the helm
The AI revolution is an evolution. We’re taking quantum leaps forward every day, but we can’t always explain why AI does the things that it does — or eliminate every instance of inaccuracy, toxicity, or misinformation.
For these reasons, it’s important that we keep humans firmly in control of AI systems. But as AI becomes more and more sophisticated, it can be hard to figure out how to layer in that human touch. We’ve all heard of keeping “humans in the loop,” but with this new generation of AI, it’s sometimes just not realistic for us to engage in every AI interaction or review every AI-generated output.
That’s why, at Salesforce, we believe trusted AI needs a human at the helm. Instead of asking humans to intervene in every individual AI interaction, we’re designing more powerful, system-wide controls that put humans at the helm of AI outcomes and enable them to focus on the high-judgement items that most need their attention. In other words, humans aren’t always rowing the boat — but we’re very much steering the ship.
With a human at the helm, we can design AI systems that leverage the best of human and machine intelligence. For example, we can unlock incredible efficiencies by tasking AI to review and summarise millions of customer profiles. At the same time, we can build trust by empowering humans to lean in and use their judgement in ways that AI can’t.
Making AI a copilot, not an autopilot
There’s a reason this generation of AI products are called copilots and not autopilots. As AI becomes more powerful and autonomous — making decisions and taking actions on individuals’ behalf — keeping a human at the helm becomes even more important. By combining the capabilities of AI with the strength of human judgment, we can make AI more effective and trustworthy.
Here are three ways we’re keeping humans at the helm of Salesforce AI:
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Prompt Builder Helps Us Automate in Authentic Ways: Prompts, or the instructions we send to generative AI models, are very powerful. A single, human-generated prompt can help guide millions of trusted outputs — but only if it’s constructed thoughtfully. With our newly announced Prompt Builder, we’re helping customers craft effective prompts by seeing the likely output in near real-time to help ensure they get the AI outcome they want. We’ve also added different edit modes within Prompt Builder that allow users to tune and revise their prompts to provide more helpful, accurate, and relevant results.
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Audit Trails Help Us Spot What We’ve Missed: Our Einstein Trust Layer offers a robust audit trail that allows customers to assess AI’s track record and pinpoint where their AI assistant may have gone wrong and where AI went right. These features help identify issues across large datasets that humans might not spot; and can empower us to use our judgement to make adjustments based on the needs of our organisation. For example, Audit Trail can alert us when an AI tool’s outputs are flagged as “thumbs down” a certain number of times — a sign that the AI-generated outputs might not be meeting the business goals. By aggregating implicit feedback signals, like how often users edit an output before using it, Audit Trail can give us a bird’s eye view of our systems, allowing us to identify trends and take action.
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Data Controls Help Us Better Guard Our Data: AI is nothing without data. That’s why we’ve designed robust controls in Data Cloud — our fast-growing platform that helps bring siloed customer data together in one place — to help businesses securely action their data. Data Cloud features help organizations harness data for AI-powered insights and intelligence. In contrast, longstanding Salesforce core data controls like permission sets, access controls, and data classification metadata fields empower humans and AI models alike to protect and manage sensitive data.
Pioneering a new approach for the AI era
As the AI era continues to unfold, both humans and technology must evolve along with it. The AI revolution is not just about technological innovation — it’s also about empowering humans to sit successfully at the helm of AI, and use it in ways that are trustworthy and effective.
Our approach is evolving, and we are committed to continued research, learning, and multi-stakeholder collaboration on this topic. But with a human at the helm, we believe we can combine the best of human and machine intelligence for this new AI era — leaning into AI’s capabilities and freeing up humans to do what they do best: be creative, exercise their judgement, and connect more deeply with one another.
With AI and humans working together, we can create more productive businesses, more empowered employees, and ultimately, more trustworthy AI.
Linda Saunders is the Salesforce Director for Solution Engineering Africa
Technology
Zoho Launches Nathu La Server
By Modupe Gbadeyanka
A designed-in-house server known as Nathu La has been launched by a global technology company, Zoho Corporation.
Nathu La is engineered with hardware-rooted security at every layer of the stack. Its indigenous IP-driven approach reduces dependency on external entities for security audits, firmware updates, and licensing continuity.
The solution aligns with open-source software principles and reflects Zoho’s broader commitment to building sustainable, secure, and scalable digital infrastructure. It also supports the growing global focus on digital sovereignty, local innovation ecosystems, and high-performance computing capabilities.
The platform was introduced by the company as part of a pivotal step in its journey towards building its full technology stack, from the hardware layer to software applications.
With Nathu La, Zoho has achieved equivalent performance with 12-18 per cent lower power consumption and 20-30 per cent lower total cost of ownership (TCO), thereby reducing inference costs.
The Nathu La server, comprising Intel® Xeon® 6 processors, was developed collaboratively with Intel, leveraging their enablement capabilities and technical expertise.
The design philosophy behind Nathu La is rooted in the Open Compute Project (OCP), emphasising modularity, thermal efficiency, and ease of maintenance. This enables Zoho’s data centres to significantly reduce total cost of ownership and power consumption.
Zoho plans to host its applications on the Nathu La server platform, enabling the company to optimise the full software-hardware stack for its specific workloads, reduce costs, improve performance, and strengthen data governance for its global customers. This will also help bring down inference costs for Zoho’s AI usage.
The Nathu La server motherboard and chassis platform is the result of five years of R&D across hardware, firmware, and systems management. Based on Intel® Xeon® 6 Processors, the server is designed to optimise performance for virtualisation (VM), High Performance Computing (HPC), AI inference, and storage applications. This results in improved performance of Zoho applications for end users.
The server features customised power delivery subsystems, an in-house DC-SCM (Data Centre Secure Control Module) design, and modular chassis options compatible with diverse end-user environments, offering flexibility across deployment types.
All modular components – including the DC-SCM and NIC (Network Interface Card) – were designed in-house by Zoho’s hardware engineering team and assembled through electronics manufacturing partners, enabling tighter integration and quality control across the platform. Over five patents have been filed covering advanced thermal management and cost-optimised server architecture designs.
“Zoho Corporation has invested in building its own technology stack from the ground up over the last three decades. The Nathu La server launch is in line with that goal.
“With our strategy of using contextual, right-sized models, running on our own platform, on our own servers, in our own data centres, we are compounding the benefits accrued from owning and operating our entire technology stack. This ensures that our solutions are more sustainable and accessible for businesses.
“These long-term R&D investments we are making at every layer of the stack are aimed at delivering customer value,” the Country Head for Zoho Nigeria, Mr Kehinde Ogundare, stated.
In 2020, Zoho established a small R&D team in Nagpur, a Tier 2 town in India, focused on projects such as server design and systems engineering.
Members of the Nathu La R&D team include hires from SETU – short for Students’ Engagement for Transformative Upskilling – an initiative designed to build a pipeline of industry-ready engineers, with a focus on advanced learning in Electronics System Design and Manufacturing (ESDM).
Technology
MTN Fintech Targets Credit Market With Direct Lending Plans
By Adedapo Adesanya
The financial technology arm of MTN is mulling a direct shift into lending after bringing on its parent company, MTN Group, as a major investor to help cushion against losses that have plagued the business.
According to MTN Group Fintech chief executive, Mr Serigne Dioum, the company wants to move beyond helping customers access loans through partners.
He said in markets where regulators allow it, MTN wants to lend directly and use its own balance sheet.
“We’ve expanded access to credit for more people, but we also want to move further up the lending value chain,” Mr Dioum told investors at the company’s capital markets day.
“Where appropriate, we will seek licences that allow us not only to facilitate loans but also to lend directly to customers and deploy our own balance sheet.”
This development is expected to create a shift in its current fintech model which provides financial services, including deposits, payments, transfers and digital wallets to individuals and small businesses via digital and mobile‑based platforms.
The company has applied for Payment Solution Service Provider and Payment Terminal Service Provider licences through MoMo PSB, its Nigerian fintech subsidiary. If approved, the licences would allow MTN to handle more payment processing, build merchant payment tools, deploy and manage POS terminals, and reduce its dependence on third-party processors.
Despite the opportunities present in the credit market, direct lending could give MTN a larger share of revenue, but it would also expose the company to credit risk, regulation and tougher competition with banks and digital lenders.
Mr Dioum said only about 4 per cent to 5 per cent of adults have access to formal credit across the African continent. In Nigeria, the funding problem is especially severe.
A 2025 report by the National Credit Guarantee Company said nearly 80 per cent of Nigerian MSMEs lack access to formal credit, while Stears has estimated the country’s MSME financing gap at about $236 billion.
For traders, small shop owners, transport operators and households, access to small loans can determine whether they restock inventory, pay suppliers, cover emergencies or expand a business.
In April, MTN Nigeria announced that its parent firm, based in South Africa, would acquire a 60 per cent stake in MoMo Payment Service Bank Limited (MoMo PSB) and Y’ello Digital Financial Services (YDFS) Limited.
The fintech units are currently loss-making, and this move will help MTN Nigeria to reduce financial risk and share future losses and investment burden. However, it will still keep a significant minority stake (40 per cent).
Technology
Meta Expands Business Agent to Instagram, WhatsApp, Messenger
By Aduragbemi Omiyale
The reach of the Meta Business Agent is being expanded to Instagram and other platforms of the social media giant.
Meta Business Agent is an artificial intelligence (AI) that allows business owners to attend to customers’ needs with ease.
Customers expect instant responses, but no team can be everywhere at once. This innovation handles such without hassles.
It helps businesses to answer questions specific to the business, makes product recommendations from the catalogue, books appointments, qualifies incoming leads, and closes sales.
More than one million businesses are already using a Meta Business Agent on WhatsApp and Messenger to respond to customers around the clock.
“We’re now expanding our Business Agent to businesses big and small globally, so within minutes you can have yours up and running, responding in your customer’s local language using your tone,” Meta said in a statement.
“We’re also expanding these agents to Instagram since businesses connect with their customers there, too. Businesses can activate their Business Agent here. Getting started with the Business Agent is free. In the coming months, businesses will access the agent through our paid subscription offerings, with options for businesses of every size,” it added.
Meta also stated that it is making it simpler for people to discover businesses powered by a Meta Business Agent directly on WhatsApp. It noted that starting soon, people will be able to find businesses by typing their name in the Search bar, or by sharing their phone number or contact card in chats with friends and family. This way, when more customers reach out, they get a quick, helpful response.
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