Vantry AI Lab

Agentic AI, Built For Your Business

We design and build specialised AI agents that handle the repetitive, always-on parts of marketing — so your team can focus on strategy, not busywork.

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What we build

Specialised agents for the work that never stops.

Each agent is designed around your tools, your data and the way your team already works.

Paid Media Agent

Monitors your Google, Meta, LinkedIn and Amazon campaigns continuously, flagging budget waste and underperforming ads before they cost you.

SEO & GEO Agent

Keeps your content and Google Business presence optimised, and tracks how your business shows up in AI answer engines like ChatGPT and Google AI Overviews.

Reporting & Insights Agent

Turns raw ad and analytics data into a plain-English performance summary, delivered to your inbox on a schedule you set.

Lead Response Agent

Responds to and qualifies new enquiries the moment they come in, so no lead goes cold waiting for a callback.

Content & Social Agent

Drafts on-brand social posts and ad creative variations from your existing brand assets, ready for your review.

Custom Workflow Agent

Have a specific repetitive task eating your team's time? We scope and build a bespoke agent for exactly that workflow.

How it works

A bespoke build process, from workflow to working agent.

01
Discovery call
We learn your workflow and where time is actually being lost.
02
Build & test
We design and build the agent, tested against your real data.
03
Launch & handover
You get a working agent, with training so your team knows how to use and adjust it.
04
Ongoing support
Optional ongoing refinement as your business changes.

Custom pricing

Start with one useful workflow.

Custom builds start from $1,500, depending on complexity and integrations — most clients start with one agent and expand from there.

Placeholder pricing

Book an AI Lab Consultation

Book a consultation for a custom quote.

Illustrative case study

[Illustrative] AI Lab: turning weekly reporting into an always-on workflow

[PLACEHOLDER] The team spent hours each week combining platform exports, finding anomalies and rewriting the same performance summary for stakeholders.

[PLACEHOLDER] Reporting time reduced by 80% with issues flagged daily

View illustrative case study