AI is changing the partner model, but the skills that differentiate you aren't all technical.
There’s a lot of focus right now on the technical skills organisations need for AI, and understandably so. Microsoft partners are building new capabilities, developing AI practices, gaining certifications, learning new technologies and working out where agents, Copilot and automation fit into their customer propositions.
But there is another side to this conversation; as AI becomes more accessible, technical capability alone won’t necessarily be what differentiates one partner from another, the difference will be what you can do with that capability.
Can you understand the customer’s problem? Can you connect technology to a business outcome? Can you simplify the complex? Can you build enough trust to have the conversations that uncover what needs to change?
These are by no means ‘new’ skills, but they are becoming more valuable.
AI is raising the baseline
We’re already seeing AI change how quickly people can research, analyse information and develop ideas. Knowledge that once took hours to find can be surfaced in minutes. People can use AI to interrogate a problem, understand an unfamiliar technology or identify gaps in their own knowledge. This is great advancement, but it also means access to information becomes less of a differentiator.
The same is true at an organisational level. As AI capabilities become embedded across the Microsoft ecosystem, more partners will have access to similar technologies, tools and technical resources. So what separates one partner from another?
I think part of the answer is the ability to turn that technology into something meaningful for the customer. And that starts with listening.
Understand the problem before talking about the technology
Listening sounds so simple, yet in practice it's one of the most underrated commercial skills. When you're genuinely listening to a customer, you're trying to understand more than the technology requirement they've brought to the meeting.
What problem are they trying to solve? What's driving it? Who does it affect? What happens if they do nothing? What does success look like?
Only once you understand that can you start talking meaningfully about a solution, and this becomes particularly important with AI.
There is understandably a huge amount of interest in Copilot, agents and automation. But starting with the technology can quickly lead to a solution looking for a problem. The conversation should start with: What are we trying to improve, and what is that improvement worth to the organisation?
Technology follows.
Move the conversation from capability to value
One of the patterns I've seen throughout my career in technology is how easy it is to talk about what technology does without explaining why it matters. Customers don't need another explanation of a feature; they need help understanding the value.
Will this reduce manual effort? Will it help people make decisions faster? Can it remove friction from a process? Can it improve customer experience? Can it reduce risk? Can it create capacity somewhere else in the business?
For partner leaders, this has implications beyond the sales team.
If we're developing technical capability but not developing people's ability to uncover problems, articulate value and have commercial conversations, we're potentially leaving a significant capability gap in the business.
Not every AI opportunity deserves investment
There's no shortage of ideas right now, AI has created an enormous amount of possibility. Inside partner organisations, teams are seeing opportunities for new services, products, automations and ways of working.
The challenge now is deciding which ones are worth pursuing and this is where enthusiasm needs to be matched with commercial discipline. If someone in your business has an idea, encourage them to test it.
What problem does it solve? Is there evidence that customers have that problem? Have we spoken to them? What's the potential market? What could it mean for existing customers? Could it create new revenue or improve profitability? What's the investment required, and what does the return look like?
An idea becomes much easier for a leadership team to support when it comes with evidence.
I've always believed in backing yourself and putting ideas forward. But backing yourself doesn't mean operating on instinct alone.
Do the research. Test the thinking. Build the business case.
Give other people a reason to back the idea too.
Relationships become more important, not less
AI can already help us identify prospects, prepare for meetings, analyse accounts, create content and automate parts of the customer journey; and Agents will take this a step further.
But I don't believe that makes relationships less important, I think it makes genuine relationships more valuable.
Trust is built over time. It comes from listening, doing what you say you'll do, understanding someone's business and being willing to have conversations that aren't simply about the next transaction.
AI can help open the door, but people still have to build the relationship once they're through it.
So what capabilities are you building?
As leaders think about their AI strategy, there is an obvious question: What technical capabilities will our people need next?
But I'd add a second: What capabilities will make our people more valuable to customers when everyone has access to increasingly capable technology?
For me, that list includes listening, commercial thinking, relationship building, problem definition, value articulation and the ability to simplify complexity.
None of those compete with AI, they complement it.
The partner organisations that bring the two together, strong technical capability and strong human capability, will be in a much better position to turn AI opportunity into customer value.
And ultimately, that's what will differentiate them.
Is your team building the skills to match the opportunity?
Sasbri helps Microsoft partners build capability across both sides of the equation, understanding the technology and developing the commercial skills to turn it into customer value.
Through practical training and enablement, we help partner teams strengthen their Microsoft knowledge, customer conversations and ability to translate technical capability into meaningful business outcomes.
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