For Media & Publishing

Spend less time on repetitive production work.

Help sales, production, and operations teams hand repetitive work to AI and spend more time on the original content readers trust.

Tokenize weekly digest summarising spend against budget, top sessions, power users, skills, and models

Share the workflows that save your teams time.

  • AI Coaching

    Reduce operational overhead.

    Find repetitive tasks your teams could hand to AI, and turn the workflows that work into reusable skills and instructions every desk can use.

    Learn about coaching →
  • AI Spend Observability

    See where AI time and money go.

    Review workflow usage and AI costs by team, person, and model across sales, production, and operations.

    Learn about observability →
  • AI ROI

    Understand the value of adoption.

    Connect AI usage to the work it produced, and assess whether teams spend less time on routine production work.

    Learn about AI ROI →

Use cases in media and publishing

Where sales, production, and operations teams put Tokenize to use.

  1. Administration and overhead

    Build skills that take on back-office work in accounting and operations.

  2. Commercial support

    Give sales teams skills for drafting proposals, reports, and client updates.

  3. Internal knowledge and onboarding

    Prepare training materials and answer routine process questions from approved internal documentation.

  4. Editorial standards

    Publish team guidance for source handling, attribution, and review.

    Learn more →

Frequently asked questions

See all FAQs
Which teams does Tokenize cover?

All of them. Tokenize is an organization-wide platform, not a tool for one department. Usage rolls up by person, team, and department, so you get one picture of AI across the company and can still drill into any part of it.

How does this help people who are new to AI tools?

The usage data shows which approaches are working well inside your company. Experienced users receive suggestions based on their own habits, while newer users can learn from practices that have already worked for their colleagues.

Does it tell me whether the spend was worth it?

It connects spend to output, so you can see what a piece of work cost and what it produced. You still make the judgment call. We give you the evidence to make it with.

Does Tokenize rank or score employees?

Not on productivity. Tokenize doesn't measure how much work someone gets done, and it doesn't rank people by output. Admins do see an efficiency tier for each person, from Very Efficient to Very Inefficient, based on habits that waste AI spend over the last 28 days, along with the habits worth changing. It shows where coaching or a settings change would help, not who is best at their job.

Can people see their own usage?

Yes. Individuals see their own activity and their own suggestions. In our experience that is where most of the improvement comes from, because people adjust once they can see what their habits cost.

How soon will we see useful results?

Usage data appears immediately. Patterns such as repeated work and model mismatches usually become clear within the first couple of weeks.

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  • SCIM Provisioning

Get better ROI on your AI investment.

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