AI, Sales Onboarding & the Human Connection: Lessons from Alex Matyushenko

Sales onboarding is changing.

For years, organisations have relied on structured training programmes, learning management systems, documentation, classroom sessions and manager-led coaching to get new sellers up to speed. But the way people learn—and the way they find information—is changing rapidly.

With AI increasingly becoming part of everyday work, sales organisations are asking a bigger question:

What should sales onboarding look like in an AI-enabled world?

In a recent episode of Sales Enablement Pioneers, Laura Ionita sat down with Alex Matyushenko, Global Sales Enablement Leader at Visa, to explore exactly that.

With more than 20 years of experience across sales, enablement and go-to-market, including roles at Microsoft, AWS, Google Cloud and Visa, Alex brings a practical perspective on how organisations can rethink onboarding without losing the human elements that make it effective.

Here are some of the key lessons from the conversation.

AI Can Change How New Sellers Learn

One of the biggest changes AI brings to onboarding is the way people access information.

Instead of searching through an intranet, LMS or multiple internal systems, sellers increasingly expect to ask a question and receive an immediate answer.

Alex describes a future where AI agents can connect information from different repositories, dashboards, learning systems and internal knowledge sources, making information easier to access when sellers actually need it.

This is particularly valuable during onboarding.

A new seller may not know where a particular piece of information lives—or even what system they should be searching. An AI assistant can potentially remove that friction by helping them find the information directly.

But there is an important condition:

AI is only as good as the information behind it.

If the underlying data is outdated, incomplete or incorrect, AI can make the problem worse rather than better.

The Data Behind AI Matters

AI can make information easier to access, but accessibility does not automatically mean accuracy.

During the conversation, Alex highlights the importance of the underlying data layer. If an AI system is connected to outdated product information or incorrect content, a new seller could potentially learn the wrong information faster than ever.

That creates a new challenge for enablement teams.

The question is no longer simply:

“Do our people have access to the information?”

It becomes:

“Is the information they are receiving accurate, current and relevant?”

This makes content governance and knowledge management increasingly important as organisations introduce AI into onboarding.

AI Doesn't Replace Human Connection

For all the potential AI brings, Alex makes an important point: technology is not necessarily the most important part of onboarding.

People are.

New hires need opportunities to build relationships with their peers, understand the culture of the organisation and develop connections with people they can turn to when they have questions.

A cohort of new sellers who start together can become an important source of support.

They learn together, share experiences and create relationships that continue long after the formal onboarding programme ends.

AI can provide information.

It cannot completely replace belonging, trust and human connection.

The strongest onboarding programmes will likely combine both.

The First 90 Days Need to Be Connected

Another important theme from the conversation is the structure of the first 90 days.

Rather than treating onboarding as one isolated training programme, Alex describes three interconnected areas:

• Company onboarding — culture, organisation and foundational knowledge
• Sales onboarding — sales methodology, skills, products and enablement
• Role and regional context — market realities, customers, responsibilities and local requirements

These elements need to work together.

A seller might understand the company but not know how to sell. They might understand the sales methodology but not understand their specific market. Or they might complete a training programme without knowing how to apply what they learned in a real customer conversation.

Effective onboarding connects the dots.

Learn. Practice. Apply.

One of the strongest frameworks discussed in the episode is:

Learn → Practice → Apply

Learning is only the beginning.

Sellers need opportunities to practise what they have learned before they are expected to use those skills with real customers.

This is where AI can become particularly useful.

AI can support scalable simulations and role plays, allowing sellers to practise:

• Customer conversations
• Product demonstrations
• Sales pitches
• Negotiations
• Technical explanations
• Objection handling

Instead of waiting for a manager or another seller to become available for a practice session, AI can provide an additional opportunity to practise.

But again, AI does not eliminate the value of people.

Live role plays introduce unpredictability, complexity and human behaviour that simulations cannot always reproduce.

The goal isn't AI instead of people.

It is AI plus people.

Readiness Is More Than Completing Training

Completing onboarding does not necessarily mean someone is ready to sell.

A new seller may have watched the required courses, completed assessments and read the product documentation—but still lack the confidence or competence to handle a real customer conversation.

That's why readiness matters.

Before putting a new seller in front of customers, organisations need to consider whether that person can actually apply what they have learned.

The consequences of getting this wrong can be significant.

A difficult early customer interaction can damage confidence, create unnecessary pressure and potentially affect the seller's experience during those critical first months.

Onboarding should therefore focus on building competence and confidence, not simply completing a checklist.

One Onboarding Programme Doesn't Fit Everyone

Another major theme from Alex's experience is personalisation.

Not every new seller arrives with the same level of experience.

Someone starting their first sales role may need extensive practice, simulations and confidence-building.

An experienced seller joining from another organisation may need something very different.

They may already understand sales fundamentals but need to quickly learn:

• How the new organisation operates
• Internal terminology
• Products and solutions
• Customer context
• Internal systems
• Who to go to for information
• How to create the right sales materials

The same onboarding programme for both people can create friction.

Personalisation allows organisations to focus learning where it is actually needed.

The Onboarding Buddy Still Matters

One of the simplest—and perhaps most valuable—ideas discussed is the importance of an onboarding buddy.

A new hire can read documentation for hours, but sometimes the fastest way to understand how things really work is simply to ask someone who has already done the job successfully.

An effective onboarding buddy can provide the practical knowledge that doesn't always appear in formal training materials.

Who should I speak to?

How does this process actually work?

What do successful sellers here do differently?

What should I know before approaching this customer?

These are questions where experience and tribal knowledge can be incredibly valuable.

AI Onboarding Is Still a Work in Progress

Perhaps the most important takeaway from Alex's closing comments is that there is no perfect AI onboarding formula yet.

Organisations are still experimenting.

Some AI applications work extremely well. Others don't.

Alex shares an example of an AI agent producing incorrect sales content because it pulled from outdated product information—even though safeguards had been put in place.

It's a useful reminder that AI implementation isn't simply about switching on a new tool.

It requires experimentation, governance, testing and continuous improvement.

The organisations that benefit most may not be those that try to make AI perfect from day one, but those that are willing to test, learn and improve.

Looking Ahead

AI is changing the way sales teams learn, practise and access information—but it doesn't change what great onboarding is ultimately designed to achieve.

The strongest onboarding programmes will bring together AI, structured learning, practical experience and human connection. AI can make learning more accessible and scalable, while managers, peers and onboarding buddies provide the coaching, context and relationships that technology cannot fully replicate.

For sales leaders and enablement teams, the opportunity is not simply to add AI to an existing onboarding programme. It is to rethink the experience around how sellers actually learn and perform:

Learn. Practise. Apply. Connect. Improve.

As Alex's experience demonstrates, AI-enabled onboarding is still evolving. There will be successes, failures and plenty of experimentation along the way. But the organisations willing to learn from those experiences will be better positioned to build onboarding that prepares sellers not just to complete training, but to perform with confidence.

The future of sales onboarding isn't about choosing between technology and people. It's about bringing the two together to help every seller become ready, capable and confident—faster.