Case study · AI talent operations

Four Real Performers Captured for a Hospitality AI Workflow

MR Casting handled the human-talent layer for a Holdinn.com hospitality project: casting four real performers, preparing the studio sessions and delivering structured photo, movement, video and chroma material for the client’s AI production workflow.

ClientHoldinn.comHospitality technology and online hotel booking
Year2026
Duration2 production days
Scale4 real performersManaged studio sessions

Project scope

The brief and MR Casting scope

The assignment required four distinct human characters and a compact production window. MR Casting translated the character requirements into casting criteria, coordinated the selected performers and managed the capture sessions in its studio over two production days.

  • Brief interpretation and casting
  • Four performer confirmations
  • Studio scheduling and talent coordination
  • High-resolution character photography
  • Directed expressions and natural movement
  • Individual video and chroma capture
  • Organized handoff to the client production workflow

Delivery workflow

Four clear stages across the production window

  1. 01

    Cast

    Match four real performers to the hospitality character brief.

  2. 02

    Prepare

    Confirm schedules, session requirements and studio flow.

  3. 03

    Capture

    Photograph character views and record expressions, movement, video and chroma.

  4. 04

    Deliver

    Organize approved assets for the client’s AI production team.

Deliverables

Delivered assets and coordination

  • High-resolution still photography
  • Front, profile and character-style views
  • Smiles, laughter and directed expressions
  • Natural walking and movement video
  • Chroma-background footage for each performer
Documented operational result

A production-ready human asset package in two days

The measurable result was operational: four confirmed performers completed the agreed studio capture across a two-day production window. MR Casting’s responsibility ended with the casting, coordination, capture and organized handoff described here; technical model development and final AI output remained with the client’s production workflow.

Disclosure note

Client name is published with the project description. This case study does not imply a client endorsement. No confidential creative, contract, budget or technical-model information is disclosed.