In almost every conversation I’ve had with partners this year, I’ve noticed the same shift. The question is no longer what AI can do for customers, it’s whether customers can trust what it tells them. It sounds like a subtle change, but I think it changes everything.
By Gretchen, executive vice-president: strategic partnerships and business development at Sage
For years, the best partners were never really in the technology business. They were in the trust business, valued for understanding a customer’s world in a way no tool ever could. That job is not going anywhere. But as every business gains access to the same AI models, knowing where AI genuinely helps a customer, and being honest about where customers are better served by human experience and insight, matters more than being first to switch it on.
AI is very good at sounding right
In finance and accounting, that matters because an answer that sounds authoritative is only valuable if it can be relied on. A number that carries the appearance of authority without the underlying accuracy becomes a serious liability when driving a strategic decision, tax submission to SARS, or statutory financial filing.
In South Africa, where leaders must balance strict Protection of Personal Information Act (POPIA) compliance and King IV corporate governance standards, unverified AI recommendations represent a risk that no executive can afford. Business owners understand this instinctively, which is why their enthusiasm for AI usually comes with a sensible question attached: where did this come from, and can I stand behind it?
They are right to ask. In new research we commissioned with IDC, 71% of finance leaders stated they would reject an AI tool that was 99% accurate if it could not explain how it reached its answer. They will turn down near-perfect accuracy for the ability to see the work behind it. Furthermore, finance teams globally incur a heavy “verification tax,” spending nearly 13 to 15 hours every week reconstructing, validating, and defending AI outputs. For resource-constrained South African businesses, this overhead erodes productivity rather than enhancing it. That tells you how much the ground has shifted.
That’s an important shift for partners too. Increasingly, customers aren’t looking for someone to switch AI on. They’re looking for someone to help them decide where it belongs, where it doesn’t, and how to use it responsibly. For many partners, that creates an opportunity to move beyond implementation and bring even greater value through judgment and advice.
This is exactly why trust matters so much, and why it is such an opportunity. Customers are not asking for less AI, they are asking for AI that is transparent in its sourcing, explainable in its reasoning, and accountable for the outcomes it supports. Above all, they want AI they can understand, validate and act on with confidence. That is a solvable problem, and partners are unusually well-placed to help organisations build confidence in AI.
The challenge is moving customers from a black box to a glass box, from AI that asks for trust to AI that earns it. Every partner now sits between a customer and a technology that can be genuinely brilliant and, now and then, plausibly wrong. Being the person who can tell the difference is one of the strongest commercial positions there is.
The future belongs to connected ecosystems
One thing I’m seeing consistently across our partner ecosystem is that customers don’t think about their challenges in terms of individual products. They think about outcomes. That is because the challenges businesses face increasingly span finance, operations, people and compliance all at once, and they rarely respect the boundaries of a single product. Customers need answers that reflect the reality of how their business works, not fragments of information pulled from disconnected systems.
That is why AI is pushing us toward connected ecosystems, not away from them. The partners who thrive will be the ones who can bring together the right technologies, data and expertise to give customers a more complete picture and a single, coherent answer they can trust and act on with confidence.
That opportunity is about much more than helping customers avoid mistakes. The most successful partners are helping customers identify where AI can genuinely create value, from automating routine processes and improving productivity to uncovering insights that would otherwise be missed.
The conversation is shifting from implementing technology to helping businesses rethink how work gets done. That’s creating a bigger role for partners, with new opportunities to deepen advisory relationships and expand the value they deliver. Trust isn’t simply about reducing risk. It can help customers move forward with confidence, creating stronger relationships and new opportunities for long-term growth.
Why the best advisors will sometimes say “not yet”
The instinct in a fast-moving market is to move quickly. But increasingly, the most valuable partners are the ones prepared to slow customers down when it matters. Sometimes the best advice is to automate. Sometimes it’s to wait. Sometimes it’s to redesign a process before introducing AI at all.
That takes judgment. Anyone can point a customer toward a new feature. Far fewer can look at a business honestly, understand its priorities, and say: “This is where AI will create value. This isn’t.” As more routine work becomes automated, that judgment becomes even more valuable.
None of this shrinks the role of the partner. It does the opposite. The partners who win the next few years will not be the ones with the flashiest technology. As access to AI becomes more commonplace, that will matter less and less. They will be the ones customers believe. AI capability will become increasingly accessible. The technology itself will continue to evolve rapidly. What won’t become commonplace is judgment.
Customers will continue to need advisors who understand their business, challenge assumptions when necessary and help them adopt AI with confidence. That’s the role great partners have always played. In the AI era, trust isn’t simply part of the partner relationship. It’s becoming the partner’s greatest competitive advantage.