Vow: AI Native Events

VOW is a professional event technology platform led by CEO Jennifer Brisman. The company serves Fortune 100 brands, celebrities, and major sponsors, managing high profile events where logistics and guest experience must be flawless.

Jennifer’s vision is to compete with giants like Ticketmaster using AI native technology, integrated data, and premium experiences. The constraint: VOW’s engineering team was already fully committed to a major platform migration.

The challenge

VOW needed AI powered features that could meaningfully reduce operational burden without derailing the core rewrite of their platform. As CTO Justin Morris put it, “It’s hard to do a rewrite and AI at the same time.”

At the same time, enterprise clients such as HBO and NBC required strict security reviews for anything that touched guest data. Any AI solution had to respect those constraints, plug into the existing system, and avoid triggering lengthy security vetting or a full rebuild.

The operational burden

Two workflows consumed a disproportionate amount of time and limited VOW’s ability to scale.

Floor plan processing

Event organizers send floor plans in many different formats for stadiums, theaters, and banquet halls. Each venue has its own layout and standards, and VOW’s team spent significant time manually recreating these plans, identifying tables, seats, and sections.

As Jennifer described it, the team was spending too much time building floor plans, and this had become a major issue for the company.

Guest list management

Guest lists arrive as CSV files, PDFs, and other formats, each with different field names and structures. Mapping these lists into VOW’s internal system required extensive manual work and careful validation.

Unlike fixed stadium seating, event spaces are constantly reconfigured. There is no standard format, no consistent labeling, and no universal approach, which makes manual data work even more painful.

Enterprise constraints

Security expectations from enterprise clients shaped the approach. AI that directly touched guest data would trigger extensive reviews and approvals.

The solution needed to:

• •Respect security first requirements
• •Integrate as modular components
• •Avoid a full platform rewrite or disruption to the existing migration
  

These constraints pushed VOW toward a modular, AI native architecture rather than a monolithic rebuild.

The solution

After discovering Empromptu when the platform went viral, VOW partnered with Empromptu to build AI powered workflows that slot into the existing codebase.

The focus was on production ready features that could handle real event complexity, not demo level prototypes. Empromptu delivered standalone modules that integrate with VOW’s systems while the core engineering team continued its platform migration.

What we built with Empromptu

Floor plan ingestion and interpretation

An AI system that ingests PDF or PNG floor plans from any venue type and automatically recognizes tables and seats. It outputs structured JSON that VOW’s system can use and provides a correction interface for validation.

As the feature evolves, it will detect additional elements such as walls, stages, green rooms, and audio or visual areas.

Guest list ingestion and mapping

An intelligent uploader that accepts guest lists in CSV or PDF format and automatically maps fields to VOW’s data model. For unmatched fields, it supports manual mapping and can ask clarifying questions to understand the list’s structure.

This replaces hours of manual data entry and cross-checking.

Stadium row recognition

For large stadium events, a specialized workflow defines the first row and direction within each section, then automatically populates the remaining rows based on geometry. It links row data to set information in the JSON output and handles irregular spacing and seat counts with precision.

Why Empromptu

Empromptu matched VOW’s need to add serious AI capabilities without derailing the existing roadmap.

• •Integration without disruption
  The AI workflows integrate as standalone modules, so the platform migration can continue uninterrupted.
• •Production readiness
  Features are built for real world complexity: multiple venue types, inconsistent floor plan formats, and edge cases that typical demos do not cover.
• •Dedicated development
  Empromptu provided dedicated developers to build, refine, and deploy the AI features instead of leaving VOW to figure out implementation alone.

The vision: AI native event technology

VOW’s partnership with Empromptu is about turning operational burden into competitive advantage. Floor plan and guest list automation removes hours of manual data entry and recreation, freeing event organizers to focus on creating premium experiences.

AI powered workflows become a differentiator in an industry where manual setup is still the norm and established players rely on legacy systems.

As Jennifer frames it, AI native technology allows VOW to challenge industry giants without expanding the team.

Key takeaways

Competing with industry giants
VOW is using AI features to challenge Ticketmaster without adding headcount, relying on strategic partnerships instead of a larger staff.

No disruption to core development
Modular AI workflows integrate alongside an ongoing platform migration, avoiding priority conflicts.

Production ready from day one
The features are designed for messy, real event scenarios, not controlled demos.

Modular architecture
Standalone AI components enable rapid deployment and iteration without rewrites or new security risks.

Building your AI features

VOW shows how event technology teams can modernize operations with AI while keeping their main roadmap on track.

If you are looking to add AI workflows to your platform without a full rebuild or team expansion, Empromptu provides the same approach: modular, production ready features built against your real constraints and data.