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All industries

Media & Publishing

Put everything your newsroom knows to work.

Media and publishing organisations sit on decades of reporting, relationships and commercial context — most of it locked in systems nobody has time to search. AI agents put it back to work: the advertising brief written before the meeting, the engineering backlog turned into something you can simply ask, every customer case reviewed rather than a sample of ten.

What we hear

  • Advertising sales walking into meetings without knowing what was last promised
  • Product and engineering knowledge locked in tickets only their authors can navigate
  • Customer service quality reviewed on a two per cent sample
  • Finance rebuilding the same reporting pack every period

Agents built for Media & Publishing

Each one says how it works, what it connects to, and where it was built.

Meeting Preparation Agent

Walks into every meeting knowing what happened in the last one.

A Meeting Preparation Agent reads the next two days of your calendar, matches every attendee against your CRM, and gathers what your teams have said internally alongside what the market has said publicly — then emails a structured briefing before the day starts. It runs daily, without being asked.

SalesSee how it works

Sales Wrap-Up Agent

The follow-up gets sent, and the CRM tells the truth.

A Sales Wrap-Up Agent takes what happened in a meeting and does the admin that usually gets skipped: it drafts the follow-up email, updates the CRM with what was agreed, and creates the tasks somebody committed to. The rep reviews and sends.

SalesSee how it works

Business Performance Agent

Ask the business a question. Get the number, not a ticket.

A Business Performance Agent lets anyone ask the company's numbers a question in plain language — customer count, churn, recurring revenue, average revenue per user — and get a reconciled answer from the governed warehouse. No SQL, no analyst queue, no arguing about whose spreadsheet is right.

ExecutiveSee how it works

Customer Analytics Agent

Which customers are worth the most, and which are about to leave.

A Customer Analytics Agent answers natural-language questions about customer value and segmentation — lifetime value, recency and frequency, who is at risk — from a governed dataset that refreshes daily. Marketing stops guessing which segment to target.

MarketingSee how it works

Finance Reporting Agent

The reporting pack, without the week of assembling it.

A Finance Reporting Agent reads directly from the data warehouse and produces the recurring finance reporting that a team would otherwise rebuild by hand every period — with the commentary drafted, not just the figures.

FinanceSee how it works

Application Processing Agent

Applications validated, records created, questions answered — around the clock.

An Application Processing Agent checks the identity documents attached to an incoming application, creates the record in the CRM, raises a help ticket when something does not add up, and answers the applicant's questions at any hour without anyone being on shift.

OperationsSee how it works

Case Quality Review Agent

Every case reviewed against the rubric, not a sample of ten.

A Case Quality Review Agent scores customer-service responses against your quality rubric — all of them, consistently, rather than the handful a team leader has time to sample. Coaching stops being anecdotal.

Customer SupportSee how it works

Demand Management Agent

Ask the backlog a question instead of reading it.

A Demand Management Agent answers questions about what your product and engineering teams are actually working on, drawing from the tickets, project documentation and decision records that already exist. The institutional memory becomes something you can query.

Product & EngineeringSee how it works

Product Requirements Agent

Drafts the requirements, and tells you where they are thin.

A Product Requirements Agent generates a product requirements document from the context that already exists across your tools, and scores an existing one against the standard your team agreed — so gaps get caught before engineering finds them.

Product & EngineeringSee how it works

Sprint Reporting Agent

The status update writes itself, from what actually happened.

A Sprint Reporting Agent produces the recurring engineering status update — what shipped, what slipped, what is blocked — from the ticket tracker, rather than from whatever people remember in the stand-up.

Product & EngineeringSee how it works

Daily Briefing Agent

What you need to know, before anyone asks you about it.

A Daily Briefing Agent assembles what changed overnight across the systems and sources you care about, and delivers one briefing before the working day starts — so the first meeting is not the first you hear of it.

ExecutiveSee how it works

Transformation Interview Agent

Interviews your experts, and turns what they say into tickets.

A Transformation Interview Agent holds a structured conversation with the people who actually know how a process works, then turns what they said into user stories and tickets — so the discovery phase of a project stops being a scheduling problem.

Product & EngineeringSee how it works

AI Risk Review Agent

First-line review of every AI proposal, against your own policy.

An AI Risk Review Agent takes a proposed AI use case and reviews it against your organisation's own ethics, security, privacy and legal policies — producing a first-line assessment that names the specific policy each concern relates to. The governance committee reviews a considered submission rather than a blank form.

Risk & ComplianceSee how it works

What we have done here

We have built and deployed agents across advertising sales, product, engineering, finance and customer service at one of Australia's largest media organisations — over one hundred agents in eight weeks, with eighty per cent of invited users becoming daily users.

Media & Publishing questions

How can AI agents help a media or publishing business?

The most valuable knowledge in a publisher moves faster than anyone can read it. AI agents put it back to work: briefing advertising sales before a client meeting, turning the engineering backlog into something you can simply ask a question of, reviewing every customer-service case against the quality rubric rather than a sample, and assembling the finance reporting that gets rebuilt by hand each period.

What results have you achieved in media?

At one of Australia's largest media organisations we built more than 100 agents in eight weeks. 98% of invited users signed up, 80% became daily users, and people reported 4–5 hours a week returned against a measured 16-hour baseline. Forty per cent of all platform usage went to agents rather than search, and the deployment scaled from 200 users to 500.

Can an agent access editorial content it should not?

No. Agents inherit the permissions already set in your source systems, so an agent can only surface content the person asking was already entitled to see. Embargoed and restricted material stays restricted.

How long before advertising sales sees any value?

A meeting preparation agent is one of the fastest to land, because the systems it needs — calendar, CRM, internal communications — are already in place. In a typical proof of concept the first agents are live within weeks, not quarters.

What is the job you are tired of doing?

That is where every one of these agents started.

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