The Forbes AI 50 is one of the most influential annual rankings in artificial intelligence, and what the list means for customer success and post-sale leaders is more important than ever.
Each year, Forbes highlights the most promising privately held AI companies shaping the future of business. This year’s list provides a clear signal about where AI adoption is headed and how AI is reshaping post-sale organizations.
The message is simple: AI is no longer a future consideration for post-sale teams. It is becoming part of the operating model.
What the List Means for Customer Success and Post-Sale Leaders
One detail from the Forbes AI 50 deserves more attention than it is getting. Two companies on the list, Decagon and Sierra, are building AI agents specifically designed to transform customer service and support operations.
- Decagon has raised approximately $481 million.
- Sierra has raised approximately $635 million.
Both companies are focused on using AI to automate, augment, and scale customer-facing interactions. More importantly, both companies are already being evaluated by enterprises that want to improve support efficiency, reduce operational costs, and deliver faster customer experiences.
This is not a future trend. It is happening right now. The conversation is no longer whether AI will change the way teams operate. The conversation is how quickly organizations will adapt and who will lead that transformation.
Five Forbes AI 50 Companies Every Post-Sale Leader Should Watch
Beyond Decagon and Sierra, several other Forbes AI 50 companies are directly relevant to customer success and post-sale operations.
1. Glean: AI-Powered Enterprise Search for Customer Success Teams
Customer-facing teams spend significant time searching for information across systems like Salesforce, Gong, Slack, Jira, knowledge bases, and internal documentation. Glean is building an AI-powered enterprise search platform that helps employees find the right information instantly.
For Customer Success Managers preparing for renewal conversations, onboarding specialists reviewing account history, or support teams troubleshooting complex issues, access to context can dramatically improve productivity and customer outcomes.
Several members of the AI in Post-Sale Council are already using Glean as part of their operating environment.
2. Listen Labs: AI for Voice of Customer Research
One of the most important responsibilities in post-sale organizations is understanding customer feedback. Collecting customer insights, analyzing trends, identifying recurring themes, and translating feedback into action can consume significant time and resources. Listen Labs uses AI to accelerate customer research and voice-of-customer analysis.
Organizations that still rely on manual reviews of NPS responses, surveys, interviews, and support conversations should pay close attention to this category.
3. Clay: AI-Powered Account Research and Customer Intelligence
Although Clay initially gained attention as a sales prospecting platform, its broader AI workflow capabilities are increasingly relevant for customer-facing teams. Many customer success organizations now use Clay for:
- Account research
- Expansion opportunity identification
- Executive stakeholder mapping
- Company intelligence gathering
- Pre-meeting preparation
In practice, Clay can function as an AI research assistant for post-sale teams.
4. Synthesia: AI Video Creation for Customer Education and Enablement
Customer onboarding, product adoption, and customer education remain major challenges for growing SaaS companies. Synthesia enables organizations to create professional video content using AI-generated avatars, dramatically reducing the cost and effort required to build:
- Product walkthroughs
- Training content
- Customer onboarding programs
- Internal enablement materials
For organizations serving hundreds or thousands of customers, AI-generated learning content creates new opportunities to scale customer education.
5. Notion AI: Building the Modern Customer Success Operating System
Many customer success teams already use Notion as a workspace. What makes Notion increasingly important is its AI layer. Organizations are using Notion AI to build searchable knowledge repositories, customer playbooks, account management frameworks, onboarding resources, meeting notes, and operational documentation. As AI becomes embedded into daily workflows, platforms that combine information management with AI assistance are becoming central to modern post-sale operations.
The Larger Trend Behind the Forbes AI 50
The most important takeaway from the 2026 Forbes AI 50 is not any individual company. It is the broader shift the list represents. The AI market is moving beyond a focus on foundation models and raw model performance. Increasingly, the companies creating enterprise value are those building AI solutions that are:
- Deployable
- Governable
- Measurable
- Workflow-specific
- Outcome-oriented
In other words, successful AI companies are solving practical business problems rather than simply showcasing technical capabilities. That distinction matters for customer success leaders. The organizations seeing the strongest results from AI are not necessarily adopting the most tools. They are implementing AI within clearly defined workflows, governance structures, and business outcomes.
What AI Adoption Means for Post-Sale Teams in 2026
Over the past several months, I have been conducting research through the 2026 AI in Post-Sale Benchmark Report and facilitating discussions through the AI in Post-Sale Council, a peer-led community of more than 400 post-sale leaders.
One finding appears consistently. most post-sale leaders are not as far behind as they think. The challenge is rarely awareness or access to technology. The real obstacles are:
- Prioritization
- Governance
- Change management
- Measurement
- Leadership confidence
The Forbes AI 50 does not change those realities. What it does change is the urgency. When companies like Decagon and Sierra are attracting hundreds of millions of dollars in investment to reinvent customer-facing operations, it becomes clear that AI is moving from experimentation to execution.
Questions Every Customer Success Leader Should Be Asking
As you review this year’s Forbes AI 50, consider the following questions:
- Which of these companies are already part of your technology stack?
- Which customer-facing workflows could benefit from AI augmentation today?
- Which workflows should remain human-led?
- How are you measuring the impact of AI adoption across your organization?
- If an AI platform promised to automate part of your support function tomorrow, would you know how to evaluate that opportunity?
The leaders who gain the greatest advantage from AI will not necessarily be the earliest adopters. They will be the leaders who implement AI thoughtfully, align it to measurable outcomes, and help their teams navigate change with clarity. That is the conversation Post-Sale organizations should be having right now.
About Rod Cherkas
Rod Cherkas is the CEO of HelloCCO and Chair of the AI in Post-Sale Council, a vendor-neutral community for Customer Success, Professional Services, Support, and Operations leaders navigating AI adoption. The Council includes more than 400 post-sale executives and practitioners sharing best practices, research, and implementation strategies for AI in customer-facing organizations.
