Helping Founders Capture the AI Opportunity
AI isn’t just changing how companies operate, it’s reshaping what they can become.
Serent hires dedicated resources and builds portfolio programs that help companies implement AI at a pace that works for their business.
We are investing in the capabilities and relationships that help founders capture the AI opportunity so they can innovate faster, win more, and continue to differentiate in their industries.
The Three Pillars of Serent’s AI Approach
Build the AI Capability Together
- Embed AI capability inside companies to transform GTM, product, and operations
- Connect companies with embedded AI practitioners who have done this before
- Gain access to our curated vendor network spanning GTM, CS, & operations
- Share initiatives and best practices across the portfolio in real time
Create a New AI-Product Development Lifecycle
- Enable R&D teams to ship faster, from prototype to production
- Provide preferred access to leading AI and agentic development partners
- Recruit and develop product and engineering leaders with AI experience
- Use richer product and operating data to inform roadmap decisions
Develop Agentic Solutions for Customers
- Help companies launch AI-native products that expand offerings for customers
- Uncover AI use cases that can reach new buyers or expand market opportunity
- Support pricing and packaging to drive revenue generation and expansion
- Identify category shifts early and shape proactive strategies
AI in Practice
AI-Enabled Feature Development
Product and engineering teams are using AI to accelerate development, support prototyping, and build customer-facing features where AI has a clear role in the product experience
ICP Targeting and Prospect Enrichment
GTM teams are applying AI to account targeting, prospect enrichment, signal detection, and scoring workflows sharpen how opportunities are identified and prioritized
Support Deflection and Self-Services
Customer teams are improving ticket triage, expanding self-service, and handling routine support questions more effectively, especially where answers are documented
Customer Success and Renewal Signals
AI is helping teams synthesize product usage, support activity, and engagement signals so they can identify risk earlier and prepare for better customer conversations
Internal Workflow Efficiency
Internal functions are testing AI in areas such as recruiting, finance, reporting, and contract workflows to reduce repetitive work, which allows teams to spend more time on review and judgment
Data Conversion and Migration
Applying AI to data conversion, schema mapping, document extraction, and migration support in implementation-heavy workflows with high manual effort and repeatable processes


