Agentic AI is collapsing the traditional divide between CX and sales as the customer interface becomes unified.
Even if companies are still organized into separate teams, customers are now expecting a single, continuous conversation that moves seamlessly across the entire journey.
For CX leaders, the next challenge now requires them to think about designing AI around understanding intent and guide customers.
In conversation with CX Today, Hao Sheng, Founder of Expertise AI, argued that the future of customer engagement lies in a single AI interface that understands intent.
“The interface is unified on the website,” he said.
“You have one AI agent interface, but it cannot be: ‘for support, go to agent Alice, for sales, go to agent Tommy’. It cannot be like that.
A New Commercial Front Door
Previously, AI in CX was designed to automate service interactions and answer common questions to reduce ticket volumes, however after the acquisition of Qualified, Salesforce was able to engage website visitors in real time and orchestrate seamless handoffs across teams.
This acquisition enabled AI agents to participate across the earliest stages of the customer journey, reflecting the next stage of digital engagement as customer expectations move beyond support-only AI.
“We saw many of our customers are not only asking an agent that can provide CX, but also generate revenue at the same time,” Sheng noted.
This original design that separated customer-facing teams into distinct systems and workflows required customers to navigate multiple handoffs before reaching the right person.
Today, agentic AI is now removing those boundaries by combining knowledge and data within a single conversational interface.
“An agent that can decide where to route the person, whether route to customer success manager, customer support, organization,” he explained.
Instead of relying on the customer to know, AI can determine the appropriate destination behind the scenes.
However, as AI becomes capable of identifying buying signals during routine customer conversations, revenue generation that previously remained the responsibility of sales, now becomes increasingly difficult to maintain as responsibilities become blurred.
Sheng stated:
“Traditionally, CX is treated as a cost centre versus the revenue generating centre.”
By positioning AI agents to support customers while simultaneously uncovering new revenue opportunities, Salesforce’s Qualified acquisition transforms CX into an important contributor to both customer outcomes and business growth.
Governance Must Come Before Deployment
Instead of instantly deploying additional AI assistants, CX leaders must rethink how those assistants are designed and governed.
If tools are being implemented primarily for support deflection, organizations should recognize that an AI agent is no longer responsible for answering questions but must now understand why someone has arrived in the first place.
“It’s more persona based, being able to recognise, ‘are you coming for support or are you coming for a sales opportunity?’,” Sheng argued.
Recognizing early intent can also determine whether AI can deliver meaningful business outcomes, as teams who identify those within a conversation can reduce unnecessary transfers for faster, more relevant engagement.
“Understand your intent is early. Early on is very important,” he recognized.
CX teams therefore require further collaboration with sales, marketing, and RevOps to establish when human escalation is needed, what CRM context should be captured, and how information is shared across teams.
By bringing Qualified’s AI-powered pipeline generation and website engagement capabilities into Agentforce, Salesforce has been able to extend AI for real-time qualification, routing, and revenue generation.
Sheng questioned:
“How do we have more downstream automation, not only on the website, but as an entry mode when we have more downstream?”
For CX leaders, this places a greater importance on governance where success will depend on shared metrics, defined routing rules, and coordinated handoffs across customer-facing teams.
As AI becomes responsible for identifying both service needs and commercial opportunities, CX teams will need to play a larger role in shaping the journey to ensure that automation supports customers while creating opportunities for growth.
