AI Agent Builders by GammaDX
What we build / Content & campaign operations agents

Campaign content, prepared inside the system that publishes it.

A content operations agent prepares drafts, variants, metadata and localisation inside your CMS, using your templates and tone rules. A person approves before anything goes live.

Scope this build

Typical build

4 weeks

Runs

On brief

Human review

Before publish

New platforms

None

Defined steps, every run, logged

YOUR SYSTEMSCampaign briefBrand rulesProduct dataCMS draftApproval queuecontent &campaign opsreason · verify · routeOUTPUT
every run loggedsource data unchangedconfidence scored

It starts from an approved brief

The agent reads the audience, offer, channel and mandatory language before it writes.

It works inside your templates

Fields, character limits, metadata and variants are prepared where your team already works.

It stops at approval

A named owner reviews every draft, with source material and changes visible.

CMS & DXPSitecore · Optimizely · Contentful
Work managementJira · Asana · Monday
Source dataPIM · DAM · Product APIs
ApprovalTeams · Slack · Email

If a system has an API and an owner who will grant access, we can connect it. Where one does not, we say so in scoping rather than after.

Audit trail

Every run, input, decision and confidence score is written to a log your team can query.

Human in the loop

Defined thresholds decide what the agent does alone and what goes to a named person.

Data boundaries

Your data stays in your tenancy. Access is scoped, logged and revocable per system.

Cost control

Usage budgets and alerts are set per agent, making spend visible before it drifts.

Bring a recent campaign brief to the call.

We will map which steps an agent should handle, which need a person and what the build would take. An engineer is in the room, not a salesperson.

01Which job, done by whom, how often
02Which systems it touches and who owns them
03What must never happen without a human
04How you would know it is working