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AI agents for marketing that keep campaigns moving

Agents for the work behind every campaign

Agents draft and localize campaign content, score leads and report results, with a person approving anything that goes out under your brand.

Book a free consultation How we build agents
campaign-desk

  1. Marketing managerYour team

    The spring launch email needs German and French versions by Thursday. Can the content agent take it?

  2. Content agentAgent

    1. brief.read launch brief and key messages
    2. brand.get_guidelines tone, terms and approved claims
    3. translate.draft German and French versions
    4. claims.check each claim against the list

    Both versions are drafted. One product claim is not on the approved list, so it needs a sign-off first.

    Needs a personClaim not on the approved listGerman and French launch email
    Approved by Marketing manager

  3. Campaign agentAgent

    1. email.schedule_send both versions for Thursday

    Both emails are scheduled for Thursday morning. Opens and clicks go into Monday's report.

Example data. An agent at work in a team channel, with a person approving the step you choose.
Mixam: conversion to a final sale from about 20% to about 40%
Where agents help

Most campaign hours go to versions, leads and reports.

Agents do that work and leave anything published under your brand to a person.

  1. 01

    Where it stallsEvery campaign needs the same content in many versions.

    What we do Agents draft each market, channel and language version from your brief and brand rules for approval.

  2. 02

    Where it stallsLeads wait while someone sorts and enriches them.

    What we do An agent scores each lead against your criteria, adds context in the CRM and routes it to the right rep.

  3. 03

    Where it stallsReporting eats the time meant for planning.

    What we do Agents pull results from ads, analytics and the CRM into one report with notes on what changed.

What we build

What we build for marketing teams

Whatever comes in, every project is built from the same parts below, set up for your files and your systems.

Marketing work we take on

  • Campaign content
  • Localization
  • Lead scoring
  • Lead routing
  • Ad reporting
  • SEO content
  • Brand checks
  • Event follow-up

How we build it

  • Campaign content and localization agents

    Versions per market, channel and language, drafted from your brief, brand guide and approved claims.

  • Lead scoring and routing

    Each inbound lead scored against your criteria, enriched in the CRM and passed to the right rep.

  • Ad, analytics and CRM connections

    Agents read campaign results and write to your CRM and email tool with the permissions you set.

  • Brand checks before anything goes out

    Drafts tested against your brand rules before launch, and every published piece logged.

Not seeing your case? Bring the campaign task your team repeats most and we start from that.

Tell us about your workflow
How we build agents

Agents that work as part of your team

They work in the tools your team already uses, take on whole tasks and stop for a person where you decide.

  1. Routines: agents that start on a schedule, on new GitHub issues or on an API delivery.
  2. Connected systems: GitHub, Linear, Notion, Slack, Jira and other tools an agent may call, each connected with its own sign-in.
  3. Approvals log: each action that waited for a person, with who asked, who decided and when.
Routines: agents that start on a schedule, on new GitHub issues or on an API delivery.
Connected systems: GitHub, Linear, Notion, Slack, Jira and other tools an agent may call, each connected with its own sign-in.
Approvals log: each action that waited for a person, with who asked, who decided and when.

Screens from the workspace our agents run in, with example data.

Industries

Industries we build agents for

Each page shows where agents fit in that industry and what we have built there.

All industries
Engineering in the open

We help build what agentic AI runs on

Open standards, open-source tooling and published research, all public, so you can check our engineering before you hire us.

Shaping agentic AI

Agentic AI Foundation

Vstorm was the first agentic AI engineering company to join the Agentic AI Foundation and received its 2026 Open Agentic AI Innovation Award.

Read the announcement

Open source

We build open-source agent tooling that other engineering teams install

10M+ PyPI downloads
4,000+ GitHub stars
33 public repositories

Framework contributors

When the framework breaks, we fix it at the source

We maintain our own open-source agent framework and contribute fixes to the frameworks our agents run on, through official partnerships with their teams. Breaking changes reach us before they reach your codebase.

Research

Our engineers and PhDs publish peer-reviewed research

Peer-reviewed papers on agent architectures, evaluation and AI security, and an open benchmark anyone can rerun against our results.

Track record

Frontier AI teams now build on what we shipped first

Our client agents were in production before most of today's agent frameworks had a stable release. You get a team that already knows what breaks between a promising demo and a system people rely on every day.

Case studies
All case studies
Engagement models

Ways to start

Each path starts with a free call with a founder or senior AI engineer. A build goes ahead only after its Proof of Value meets the agreed threshold.

Start with one workflow

We map one workflow with your experts and agree a success threshold before any build.

Best whenYou want the success test agreed before you commit to a build.

Book a free consultation
  1. Process redesign and build Best whenYou want one team accountable for the outcome.
FAQ

Questions about AI agents for marketing

What are AI agents for marketing? +
AI agents for marketing are software agents that take over whole tasks in campaign work: drafting and localizing content, scoring and routing leads, and pulling results into reports. They work in the tools your team already uses, reach your systems through their APIs and stop for a person on the steps you choose, such as anything published under your brand.
Which marketing tasks should an AI agent take on first? +
Start with work that repeats every week and has a clear check: localizing campaign emails, scoring inbound leads or writing the weekly performance report. We go through the process with your marketing lead, pick one task, agree a success threshold and test the agent on your own past campaigns before anything goes live.
Have you built AI marketing agents before? +
There is no published case for a marketing workflow yet. Three builds come closest. Senetic's inbound sales email is answered in real time, in the customer's language, across 151 countries. For MindSonar, 14,000 report translation variations were automated across 8 languages. Mixam's product advisor raised conversion to a final sale from about 20% to about 40%.
How do you keep AI-generated marketing content on brand? +
Brand rules, banned terms and the list of approved product claims sit in a reviewed knowledge base and in code. The agent drafts from them, and a check in code compares every claim with the approved list before a draft reaches a person. Anything new goes to your marketing lead for approval, and each published piece is logged with its sources.
How do you know it works before the full build? +
We agree a success threshold with your team before the build and test the agent on your own cases in a Proof of Value. It measures accuracy and running costs, and the build goes ahead only when the threshold is met. Corrections from your team go back into the test set, so every later version is checked against them.
Who owns the system, and which models does it run on? +
You own the code, prompts, evaluation sets and rules by contract. The agents run in your environment on hosted or open-weight models. The model sits behind an interface in code, so you can change it when accuracy, speed or your hosting rules change, without rebuilding the agent.
Start with one workflow

Test one workflow on your own data

A Proof of Value shows accuracy and running costs before the full build.

Book a free consultationRead case studies