1 Product Marketing AI Agent, Live in Production.
1 live agent automates product marketing within marketing. It runs on demand. It publishes the inputs it needs, the steps it works through and what it hands back.
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Customer Experience Management
Read customer feedback across touchpoints, find the themes that actually recur, and say which experience problems are worth fixing first.
Finding the experience problems that actually recur
Customer experience feedback arrives through channels that are owned by different teams and read separately. Support sees tickets, sales hears objections, the product team reads in-app feedback, and marketing runs surveys — and a problem that shows up moderately in all four looks minor in each. The theme that spans channels is exactly the one worth fixing, and the organisational structure guarantees nobody sees it whole. Prioritisation then defaults to whichever complaint was loudest or most recent, which systematically favours the articulate individual over the silent majority. The result is a roadmap of experience fixes that addresses real problems in the wrong order.
Customer Experience Management reads customer feedback across touchpoints, finds the themes that actually recur, and says which experience problems are worth fixing first. Reading across touchpoints rather than within one is the structural change; ranking by genuine recurrence rather than by volume of words is what stops the loudest complaint setting the agenda. One agent covers this process. It identifies and ranks; the decision about what to fix is a trade-off against roadmap capacity and commercial priority, and it stays with the people who hold both.
What this moves
- Experience issues prioritised by recurrence
- Themes that genuinely repeat across touchpoints are separated from one-off complaints, so effort goes to problems many customers have.
- Feedback channels actually read
- Input from across touchpoints is read together rather than reviewed channel by channel, which is how a theme spanning two channels currently stays invisible.
Marketing
How AI agents handle product marketing
Drawn from the 1 agent above — what they require, how they run, and what comes back.
What they need
- Customer feedback
- How to read it
What comes back
- Experience health
- Themes
- Needs someone now
- What to fix first
How they run
- Run on demand
- 1
- Steps per run
- 2
- Credits per run
- 7
Where product marketing fits in marketing
Competitor tracking, market monitoring and content briefs are the slow part of a campaign. Agents keep that running continuously, so a launch is not waiting on someone to go and read things.
Next Step
Deploying product marketing agents
These run as-is against the inputs listed above. Most deployments adapt one — a different source system, a different tolerance, a different approval path. The first call establishes which.