ShapersOfAI.com · From Users to Shapers · AI Leadership · Future of Work · AI Skills

AI Use Case

Multi-Channel Content Adaptation

Transforms one approved source text into tailored versions for different channels, audiences and formats while preserving the core message and facts.

Communications teams regularly need to publish the same information across multiple channels. A press release may also become an intranet article, LinkedIn post, newsletter item, executive briefing and set of talking points.

Simply shortening or copying the original text rarely works. Each channel has different audiences, conventions, lengths and communication objectives. At the same time, facts, approved messages, terminology and sensitive wording must remain consistent.

Multi-Channel Content Adaptation uses a single approved source as the factual basis and creates suitable versions for predefined channels and audiences. Reusable channel profiles specify the expected structure, tone, length, formatting and calls to action.

The solution should clearly distinguish between content that may be adapted and information that must remain unchanged. All generated versions remain drafts until reviewed and approved by the communications team.

Painpoints

One topic must be prepared separately for many channels
Communications teams repeatedly rewrite the same information
Simple copy-and-paste produces unsuitable channel content
Core messages can change unintentionally between versions
Figures, names and dates may become inconsistent
Channel requirements often exist only as informal team knowledge
Local teams recreate content instead of adapting approved material
Reviewing many versions takes considerable time
AI-generated adaptations can add unsupported claims
Important mandatory wording may disappear during shortening

Goals

Create several channel-ready drafts from one approved source
Reduce repetitive rewriting and production time
Preserve facts and core messages across every version
Apply channel-specific formats and editorial conventions
Make channel knowledge reusable across the team
Support local and decentralised communications teams
Improve consistency without making every channel sound identical
Make differences between generated versions transparent
Keep editorial review and approval with the communications team

Risks

Important information may be lost during shortening
The AI may alter facts, figures, dates or quotes
Different versions may contain contradictory messages
Channel profiles may encourage formulaic content
The source material may not be approved for every audience
Confidential internal information could appear in an external version
Cultural and regional differences may be overlooked
Calls to action may be invented or changed
Teams may publish adaptations without reviewing the source comparison

Implementation Idea

Select one frequent source format for the pilot, such as a press release, corporate announcement or project update
Define the channels the solution should initially support, for example:
- Intranet news
- LinkedIn
- Employee newsletter
- Executive briefing
- Manager talking points
- Media pitch
Create a reusable Channel Profile Skill for each output format
Include in every channel profile:
- Intended audience
- Communication objective
- Required structure
- Preferred length
- Tone and level of detail
- Formatting conventions
- Suitable call to action
- Mandatory and prohibited elements
Create a separate Corporate Writing Style Skill containing terminology, tone and general editorial rules
Define protected information that must not be changed, including names, figures, dates, quotes, legal wording and approved key messages
Ask the user to identify which source document is the approved factual reference
Require additional instructions for target audience, channel, objective, publication date and desired action
Let the assistant identify missing or contradictory information before creating drafts
Generate all requested channel versions from the same approved source
Attach a short transformation summary to each version explaining:
- What was shortened
- What was restructured
- What was omitted
- Whether any information requires confirmation
Automatically compare names, dates, figures and quotes across all versions
Flag any wording that cannot be traced back to the approved source
Route internal and external versions through different approval paths
Save the final approved versions together with their source document
Improve the channel profiles based on recurring editorial corrections

Platform options

For a simple pilot:

Store the corporate style and individual channel profiles as reusable skills in ChatGPT or Claude
Upload or reference the approved source for each assignment
Ask the assistant to generate the selected channel versions in a fixed output structure

For shared use in Microsoft 365:

Implement the profiles as instructions and knowledge sources in a Copilot Studio agent
Store approved sources, terminology and guidelines in SharePoint
Let users select channels and audiences through the agent or a Power Apps form
Use Power Automate for review, approval and transfer into the relevant systems
Create only drafts in SharePoint, Outlook or other publishing tools
Require explicit human approval before publication