Diagnose
Map how work enters, stalls, gets approved, and gets forgotten.
Production systems / AI-aware workflows / Creative operations
Closed-loop systems for modern creative production.
Creative teams rarely fail from lack of ideas. They lose time when intake is vague, approvals stall, context disappears, and senior people spend their week reconstructing what the work should already know.
When the system leaks, senior people become the patch.
Most teams can make strong work. The drag comes from vague briefs, approval stalls, unclear ownership, asset drift, version drift, Slack archaeology, tool sprawl, and producers quietly acting as human memory.
High accountability plus incomplete authority is where production stress becomes structural.
Diagnose, design, install, verify, remember. Then prove the loop holds.
The model is simple: trigger the work cleanly, capture the right context, store what matters, and synthesize what the team needs next. The engagement turns that loop into a working operating rhythm.
Map how work enters, stalls, gets approved, and gets forgotten.
Define the loop, decision rights, tooling roles, and required artifacts.
Build the templates, gates, dashboards, AI assists, and routines the team will actually use.
Pressure-test the system against live work, approvals, reporting, and edge cases.
Leave useful memory so the team is not rebuilding context from scratch every week.
Focused engagements for teams that need sharper production machinery.
Start with a diagnostic. If the leak is clear and the authority is there, move into a sprint or advisory loop.
For: teams that know time is leaking but need the failure modes named clearly.
Map the workflow, audit dependencies, diagnose approvals, inventory tools, and identify the few problems causing the most drag.
Outcome: a clear view of where production time is leaking and what to fix first.
Typical range: $7.5k–$15k
For: teams with enough authority to change intake, approvals, tooling roles, and reporting.
Redesign the working loop: intake, review gates, project memory, AI assists, dashboards, templates, and team routines.
Outcome: a working operating rhythm your team can run without another layer of management.
Typical range: $25k–$60k
For: teams that need the system reviewed, tuned, and protected as the work changes.
Review the operating model, test AI/tooling changes, advise production ops, train teams, and refine reporting.
Outcome: continuous improvement without creating another daily support dependency.
Advisory only. Not embedded PM.
For: ambitious spatial, AI, or interactive work where concept and production logic have to develop together.
Shape the concept, prototype, interaction model, production plan, build workflow, optimization path, and launch support.
Outcome: a launchable experience with story, production logic, and emerging tech aligned from day one.
Scoped selectively around the project.
Operator experience, public systems, and enough pattern recognition to see the failure mode early.
Led by Bill Anastas, an Executive Producer with 20+ years across digital, interactive, VFX, social, experiential, and campaign production for Google, Sony, Netflix, Warner Bros, Snap, FX, Philips, and more.
production leadership
studios, brands, and agencies
archive products and utilities
Public systems include archive, reference, listening, collection, and utility products, including ArtBellArchive, OneSheet, SecondTrack, OverBlack, and related collection sites.
Executive Producer at kissd; formerly Monks, Sony Pictures Interactive, INDG, AvatarLabs, hi5, BLKBX, and Imageworks. Member, Producers Guild of America.
The line matters. Improve the machine; do not become the machine.
The work is designed to improve the production system, not become the production system. Diagnose the machine, install better loops, and leave the team with artifacts they can use without me in the room.
Start small enough to see clearly. Then fix the leak.
If your team is losing time to handoffs, approvals, version drift, or status archaeology, start with a focused diagnostic. Two weeks is usually enough to see where the machine is leaking and what should change first.
Send a note with the production system that is leaking time. I’ll reply with a few questions about the workflow, failure modes, and whether a diagnostic is the right starting point.
Los Angeles. Available for select advisory, diagnostic, and premium creative-technology engagements.