Departments/Marketing
Marketing that ships more with the team you have.
AI agents prepare the briefs, drafts, campaign builds and reports that fill the week. Your marketers keep the ideas, the voice and the final say.
How the agents work in marketing.
01Reads
Briefs, past campaigns, product notes and performance data.
02Checks
Each draft against your brand voice, claims rules and audience.
03Acts
Builds the assets, sets up the campaign and assembles the report.
04Asks
Sends anything off brief or off brand to its owner before it goes out.
Where the agents work.
Each one starts as a single process with a measure agreed before anything is built.
01Content production
- Today
- One piece of content is rewritten by hand for every channel.
- With agents
- A finished piece is adapted for each channel in your voice, ready for an editor.
- Measured in
- Time from brief to publish
02Campaign builds
- Today
- Building the emails, pages and audiences takes longer than planning the campaign.
- With agents
- The build is assembled from the brief and checked before a marketer reviews it.
- Measured in
- Campaigns shipped
03Lead handling
- Today
- New leads wait in a list until someone sorts them.
- With agents
- Leads are enriched, checked against your criteria and passed to sales with context.
- Measured in
- Speed to lead
04Performance reporting
- Today
- The weekly report is copied together from five dashboards.
- With agents
- The report builds itself, with a summary of what changed and why.
- Measured in
- Reporting hours
05Research
- Today
- Competitor and customer research happens when there's time.
- With agents
- Competitor moves, reviews and customer calls are summarised on a schedule.
- Measured in
- Research kept current
06Brand and claims review
- Today
- Every asset waits in a queue for brand and legal review.
- With agents
- Assets are checked against brand and claims rules first, so reviewers see only the open questions.
- Measured in
- Review turnaround
Works inside
- CRM
- Marketing automation
- CMS
- Ad platforms
- Analytics
- Asset library
What stays with your people.
The agents prepare, check and record. The calls that carry judgement or risk stay with a named person on your team.
- 01Strategy, positioning and creative direction.
- 02Brand voice and the final edit.
- 03Budget decisions.
Guides for this team.
- Guide
Guide
Fund first
A four-question test
Which AI use case should you fund first?
Score each candidate on how often it happens, how much judgment it needs, where its inputs come from and how you'd measure it. Fund the one that passes.
- Guide
Guide
Did it pay?
One measure, before and after
How do you measure the ROI of an AI project?
Pick one measure, read it before anything is built and again after launch, the same way. What to count on each side, and what to do if it doesn't move.
Questions
Questions we hear first.
Will the content sound like us?
It's built on your past work, voice guidelines and approved claims, and tested with your team before it's used. An editor on your side approves what gets published.
Does anything go out without a person seeing it?
Only what you decide. Most teams keep a person on everything a customer sees and let the system run the builds and reports.
Can it use our customer data?
Yes, within the access and consent rules you already have. You sign off what the system reads and where it's processed before we build.
Why not just use ChatGPT or Copilot?
They're good tools for one person doing one task. The systems we build run a whole process: they connect to your systems of record, follow your rules, hand exceptions to a named person and log every step. The two work well side by side.
Why not build this ourselves?
You can, and some teams should. What we bring is a team that does this every day, a tested way of working, and people who stay to run it. Everything is set up in your accounts, so your team can take it over when it's ready.
Make your business AI-native.
Start with a short call about where your team's hours go and what you want to change.