AI Podcast Production and Operations Platform
Run every show from one command center. Connect production, approvals, sponsorships, and distribution with governed AI and human approval at every stage.
One workflow for every stage of podcast operations
- Plan episodes, assign roles, and track production handoffs across every show with visible status and ownership at each stage.
- AI prepares transcripts, show notes, chapter markers, newsletters, and social posts. Your team reviews and approves before anything publishes.
- Route assets through human review. Approved content moves into the release and distribution workflow with full ownership visibility.
- Track ad-read commitments, log delivery, and report campaign performance across shows - connected to episode status, not a separate process.
- Monitor every show in one dashboard. Identify patterns, compare performance, and improve operating decisions across the portfolio.
- AI assists repeatable work across the episode lifecycle. Human approval is required at every stage before content moves forward.
Move Every Episode from Idea to Measurable Impact
CastKit connects each stage of the episode lifecycle in one operating workflow. Owners, statuses, deliverables, and approval points are visible at every step - from planning through publication and reporting.
- Plan - Schedule the episode, assign roles, and set deliverables in one place.
- Produce - Coordinate recording, editing, and production handoffs with visible status.
- Package - AI prepares transcripts, show notes, chapters, and content assets for review.
- Approve - Route the complete package to the designated team member before anything moves forward.
- Distribute - Publish approved assets to hosting, feeds, and marketing channels.
- Measure - Track sponsor fulfillment, release performance, and patterns across the portfolio.
AI Prepares the Work. Your Team Approves It.
CastKit uses governed AI to prepare repeatable production and content packages. AI drafts show notes, transcripts, chapter markers, newsletters, and social posts from approved audio. Every asset routes to the designated team member for review before publishing. Nothing reaches distribution without a human sign-off - no hands-free publishing, no ungoverned automation.
Run Multiple Shows Without Multiplying Complexity
CastKit provides portfolio-wide workflows, governance, and control for podcast networks and media teams managing more than one show. Keep each show's voice while coordinating production from a shared operating layer.
- Shared Workflows Apply consistent production templates across every show in your portfolio without restricting individual show voice or format.
- Team Coordination Assign roles, track ownership, and move work between team members with visible handoffs and status at every stage.
- Portfolio Intelligence Monitor all shows in one dashboard. Identify patterns and compare performance to improve release planning and future decisions.
- Sponsor Accountability Track ad-read commitments and report campaign delivery across shows with sponsorship status tied directly to episode workflow.
- Governed Approvals Every content package requires team review before publishing. Approval history and ownership are visible across the entire portfolio.
- Measurable Outcomes Connect release activity to sponsor fulfillment, audience data, and portfolio-wide learning to improve future operating decisions.
Frequently Asked Questions
Direct answers about podcast operations, workflow automation, AI governance, and how CastKit fits your existing stack.
What is an AI podcast production platform?
What does CastKit manage?
How does CastKit use AI without removing human control?
Can CastKit support a podcast network or multiple shows?
Can CastKit turn podcast episodes into other content?
How does CastKit handle podcast distribution?
How does CastKit support podcast sponsorships?
Does CastKit work with existing podcast tools?
Who is CastKit for?
See CastKit in Action
Book a guided walkthrough for your team. We'll show you how CastKit connects your existing workflow, where governed AI fits, and how portfolio-wide visibility works across your shows.