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Helping Founders Capture the AI Opportunity


Serent views the AI opportunity as broader than efficiency and process improvement. We see it as a driver of speed and growth across software businesses.

We have built a dedicated AI capability inside the firm, with embedded resources, internal tools, and portfolio programs.

Serent helps companies move faster in product and go-to-market, and embed AI in how they build and operate.

The Three Pillars of Serent’s AI Approach

Unlock the Dividend Across the Business

  • Build AI Transformation Offices inside portfolio companies
  • Bring cross-portfolio AI transformation partners into the work
  • Create preferred relationships with AI-native vendors across GTM, customer success, implementations, finance, and human resources
  • Share initiatives and best practices across the portfolio in real time

Create a New AI-Product Development Lifecycle

  • Bring AI-PDLC expertise into portfolio companies
  • Bring AI-PDLC expertise into portfolio companies
  • Host AI Summits with key cloud and development partners
  • Build preferred relationships with AI and agentic AI development firms
  • Shape hiring for product and technology leaders with AI-PDLC
  • Use richer product and operating data to inform roadmap decisions

Build Agentic Solutions for End Customers

  • Support the launch of new agentic solutions to expand offerings for end-customers
    Draw on Product and Technology (P&T) Chairs with agentic experience
  • Track market launches and disruption opportunities

AI in Practice

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

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

Go-to-market 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 already 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


AI Events at Serent