Sales and Customer Success: Building a Unified Revenue Organization — with Candace Wallace

The Convergence of Sales and Customer Success: Building a Unified Revenue Organization

Revenue organizations are changing. Sales, Customer Success, RevOps, and other functions can no longer operate as separate parts of the customer journey when growth increasingly depends on both winning new business and expanding the value of existing customers.

In a recent episode of Revenue Architects, we spoke with Candace Wallace, Chief Revenue Officer at Relias, about how revenue teams can bring these functions closer together, create more predictable processes, and use AI and technology where they can have the greatest impact.

Candace’s perspective comes from experience across Customer Success, Sales, operations, and revenue leadership. Her central message is practical: start with the customer, align people and processes around that customer, and then use technology to make the model work better.

Here are the key lessons Revenue Leaders can take from the conversation.

Why are Sales and Customer Success becoming more connected?

The traditional separation between Sales and Customer Success is becoming harder to maintain.

Sales owns the new customer. Customer Success owns adoption and retention. But as companies expand their product portfolios and generate more growth from existing customers, these responsibilities increasingly overlap.

Candace has seen this shift firsthand. Her own career moved from Customer Success into broader commercial and revenue leadership, giving her a view across both sides of the customer relationship.

She believes the common thread is customer value.

When teams understand what a customer is trying to achieve, they can identify opportunities to help that customer reach those outcomes and, when appropriate, expand the relationship.

That changes the conversation from:

“How do we sell more?”

to:

“What value are we creating, and where can we help the customer go next?”

How can Revenue Leaders create more predictable revenue?

One of Candace’s strongest points is that technology cannot compensate for inconsistent processes.

At Relias, different teams were using the same terminology for pipeline and forecasting but following different processes. That created a familiar problem: everyone appeared to be talking about the same metrics, but the underlying definitions and methods were different.

Candace worked across Sales and Customer Success to establish common opportunity stages, stage gates, and forecasting methodologies.

Standardization gives Revenue Leaders a common operating model. It also creates the foundation for automation and AI to work effectively.

Why should Revenue Leaders look beyond lagging metrics?

Revenue teams often rely heavily on metrics such as renewal rates, bookings, and net revenue retention. These are important, but they tell you what has already happened.

Candace looks for signals that can indicate what is likely to happen next.

On the customer side, that can include:

On the sales side, it can include:

Technology can help surface these signals, particularly when managers are too close to individual deals or accounts to see the broader pattern.

The goal is to identify a problem before it becomes a revenue problem.

How is value selling changing the role of Sales?

As Relias expanded from a single-product business to a broader portfolio, the sales conversation had to change.

Selling one product can often center on features and functionality. Selling multiple products requires a deeper understanding of the customer's business and the outcomes they need.

Relias embedded MEDDPICC into its opportunity stages to help sellers focus on value throughout the sales process.

This also changed the role of the salesperson.

Instead of being the person expected to know everything and close the deal alone, the seller increasingly becomes the quarterback, bringing together the right specialists, expertise, and resources to solve the customer's problem.

That might involve solutions consultants, sales engineers, overlay specialists, or people with direct healthcare experience.

The challenge is making sure those additional resources improve the deal rather than creating more complexity.

Relias found that, when used appropriately, the right specialists could help shorten sales cycles and increase average contract value.

What makes a Sales-to-CS handoff successful?

The handoff from Sales to Customer Success is one of the points where valuable customer context can easily get lost.

Sales conversations may contain important information about:

But that information is not always captured consistently in handoff notes.

Candace is using AI to help address this problem.

Rather than relying entirely on manual summaries, AI can extract important information from recorded conversations and carry that context into the onboarding and customer journey.

This becomes especially important in healthcare, where turnover can mean that the people working with a customer today may not be the same people involved when the original purchase decision was made.

The customer should not have to start from scratch every time a new person joins the relationship.

The value of AI here is not the AI itself. It is preserving customer context and helping teams deliver a more continuous experience.

Should companies implement AI before fixing their processes?

Before introducing a new tool, teams need to understand who owns the work, how the process works, where responsibilities sit, and where friction occurs.

Candace shared the example of moving renewals from Sales to Customer Success. The change required more than moving a task between teams. Relias had to establish handoff procedures, clarify roles and responsibilities, create rules of engagement, and align incentives.

Only after the process was clear could the organization identify where technology or automation could remove unnecessary work.

This prevents a common problem with automation: moving bad work from one team to another instead of fixing the underlying process.

Where does AI fit into the revenue organization?

Candace does not see one AI tool replacing every revenue function.

Instead, she sees a shared technology foundation with specialized tools supporting different parts of the revenue organization.

Sales, Customer Success, RevOps, and Customer Service may each need different forms of intelligence. What connects them is the underlying data and systems that allow those tools to work from a common source of information.

Candace also recommends that Revenue Leaders stay close to the rapidly changing AI market. That does not mean buying every new tool. Regular conversations with vendors and technology providers can help leaders understand what is becoming possible before they need to make an investment.

Why should AI governance start early?

AI adoption also introduces new requirements around security and governance.

At Relias, an AI governance board reviews new technology alongside business and investment considerations. Security is part of the conversation early rather than something that gets checked at the end of the buying process.

This matters for both buyers and sellers.

Finding out late in the process that a technology cannot meet security or governance requirements can delay or completely derail an initiative.

For Revenue Leaders evaluating AI, governance should therefore be considered alongside the business case, not after it.

What can Revenue Leaders learn from Customer Success?

One of the broader ideas from Candace’s conversation is that Customer Success experience can provide a strong foundation for revenue leadership.

Customer Success leaders are often deeply familiar with customer outcomes, adoption, relationships, and the reasons customers stay or leave.

As revenue organizations become more focused on retention and expansion, that experience becomes increasingly commercial.

The distinction between Sales and Customer Success may remain important operationally, but the two functions are increasingly connected by the same question:

Are we creating enough value for customers to want to continue and grow the relationship?

That perspective can be valuable regardless of whether a CRO comes from Sales or Customer Success.

What should Revenue Leaders question next?

Processes that have existed for years may feel like the only way to operate simply because they are familiar.

Revenue Leaders should regularly ask:

Importantly, Candace believes the best time to make these changes is when things are going well.

Waiting until growth slows or revenue becomes unpredictable creates pressure to fix problems quickly. Strong organizations can use periods of stability to rethink how work gets done before those problems appear.

The Bigger Lesson: Build the Revenue Model Before Automating It

Candace Wallace's approach offers a practical perspective on the future of revenue management.

The opportunity for Revenue Leaders is not to automate every part of the revenue organization or add another layer of technology. It is to build a connected operating model where Sales, Customer Success, processes, data, and technology work together around customer value.

AI can then strengthen that model, surfacing leading indicators, preserving customer context, reducing administrative work, and helping teams act on information earlier.

The starting point, however, remains human and operational:

Align the people. Standardize the process. Then use technology to make the work better.

When Sales, Customer Success, and RevOps align around customer value and consistent processes, AI can help teams work more efficiently and make better revenue decisions.

The future of revenue management is not about automating everything. It is about using technology where it helps people do better work.