AI Workflows for Music Operators.
We build, wire, and train the AI infrastructure that labels and distributors actually need.
27h/wk
Time Saved
$52K
Revenue Gap
8.4
Automation Score
The Gap Nobody's Filling
AI-generated tracks hit DSPs every day.
Your team is still processing releases on spreadsheets. The volume problem isn't coming. It's here.
A Director of Digital Strategy costs $12,800/month.
And most labels under $10M in revenue can't justify the headcount. So the workflows stay broken, the royalties leak, and the catalog sits undermonetized.
Distributors shipped 47 new AI features last year.
Your team adopted maybe three. The gap between what's available and what operators actually use is where money disappears.
Five Service Lines. One Operating Layer.
Each line handles a piece of the revenue stack. Together, they replace the headcount gap with working AI systems.
AI Workflow Integration
We audit your operations, identify the 3-5 workflows burning the most time, and build AI agents that handle them. Not theory. Delivered systems your team uses on Monday morning.
- Full workflow audit with time-cost mapping
- Custom AI agent builds (release intake, metadata QC, royalty flagging)
- Team training and adoption tracking
Platform Strategy & Optimization
YouTube CMS, Spotify for Artists, TikTok, Apple Music. We optimize your presence on every platform that pays you, with AI monitoring the gaps your team can't watch manually.
- YouTube OAC/Content ID audit and cleanup
- Spotify pitch automation and playlist intelligence
- Cross-platform performance monitoring setup
AI Product Development
Need an internal tool your team actually wants to use? We scope, design, and build AI-powered products for your specific operation. Release intake forms, artist dashboards, catalog search tools.
- Product brief and technical architecture
- MVP build (typically 4-8 weeks)
- Integration with existing infrastructure (AudioSalad, Curve, etc.)
Catalog Intelligence & Valuation
Your catalog is a financial asset. We build AI systems that monitor its health, flag underperforming tracks, detect unauthorized usage, and generate the data buyers and investors need to see.
- AI-powered catalog health dashboard
- Content ID gap analysis with revenue recovery estimates
- Investor-ready valuation data package
Content & Marketing Automation
Release campaigns, social content calendars, brand partnership decks. We build the pipelines that turn one asset into 20 touchpoints without adding headcount.
- Automated release campaign builder
- Social content pipeline (post generation, scheduling, analytics)
- Brand partnership opportunity matching
Audit. Build. Train.
Three phases. Concrete deliverables at each step. You keep everything we build.
Audit
Weeks 1-3Deliverable: AI Readiness Report
We map every workflow in your operation, score each one for automation potential, and deliver a concrete plan with projected time savings and revenue impact. You walk away with a document you can act on, whether or not you hire us.
Build
Weeks 4-12Deliverable: Working AI Systems
We build the workflows, agents, and integrations your team needs. Not prototypes. Production systems wired into your existing tools (your CMS, your royalty platform, your DSP dashboards). Every build includes documentation your team can reference without calling us.
Train
OngoingDeliverable: Self-Sufficient Team
Your team learns to operate, modify, and extend what we built. We run hands-on training sessions, create internal playbooks, and stay available for quarterly check-ins. The goal: you don't need us forever. That's the point.
Numbers. Not Promises.
Built across 20+ years operating inside labels, distributors, and platforms. Not advisory from the outside. Execution from the inside.
YouTube subscribers managed across MCN operations
Watch time increase through platform optimization
Reduction in rights disputes via automated workflows
AI products shipped and live in production
Legacy tracks migrated with zero revenue loss
On-time asset delivery rate across 30-person team
Catalog value under active management and transfer
EBITDA growth driven by digital monetization strategy
How We Transformed a Boutique Label's Operations
A Regional Mexican label with a catalog generating eight figures in annual streaming revenue was running manual workflows across 50+ DSP integrations. Release processing took days. Royalty reconciliation was a quarterly fire drill. Rights disputes ate 15-20 hours a month.
We audited every operational workflow, built AI-powered automation for release intake and metadata QC, deployed Content ID monitoring, and trained the internal team to operate it all without us.
Before
40+
After
26
35% reduction
Before
Flat
After
+40%
YoY
Before
~70%
After
95%
+25 pts
Built for Operators Who Ship
We work with teams that run real operations, not companies still deciding whether AI matters.
Boutique Labels (10-200 Artists)
If you're running a label doing $1-5M a year and your release process still lives in WhatsApp threads and Google Sheets, you're spending $50K+ annually on problems AI solves in weeks.
Mid-Tier Distributors
If your platform has AI features your clients don't use, that's not an adoption problem. It's an integration problem. We close the gap between what you built and what operators actually need.
Music Publishers & Catalog Owners
If you own a catalog worth $5-50M and you can't answer 'which tracks are undermonetized' in under 60 seconds, your data infrastructure isn't working hard enough.
Music-Adjacent Brands
If you're a CPG or spirits brand spending six figures on music partnerships and you're still measuring success by social impressions, you're leaving money and cultural capital on the table.
Questions We Actually Get Asked
Your catalog is the asset.
Let's protect the engine.
Start with a workflow audit. Get a concrete plan with projected savings and a prioritized build roadmap. No commitment beyond the audit itself.