We take the 20+ agent infrastructure we built to run Hedgehog's own marketing — content, ads, SEO, reporting, the whole machine — and install a custom version of it inside your company's systems. For in-house marketing teams who’d rather own their AI than rent it.
From $10,000 + GST
One-off build. Then from $500 + GST / month for ongoing engineering, updates, and feature requests.
Most “AI marketing” offers today look the same: vendor builds something on their infrastructure, charges you a monthly subscription, and you rent access. When you cancel, the AI leaves. Your data trains their product. You never own the thing.
We built it the other way. Over the last 12 months we’ve shipped a working multi-agent marketing operation that runs inside Hedgehog — content, paid ads, SEO, reporting, brand QA, the lot. Now we can install that same system, customised to your brand and your marketing ops, inside your company.
Installed on your infrastructure. Your repos, your secrets, your data. When we’re done, the AI is yours. Full stop.
Every agent is tuned to your brand voice, your products, your customers, your reporting needs. Not a generic template with your logo on it.
Built on the same stack that runs ours. Claude, Anthropic SDK, Google Workspace, Slack, your ad platforms, your CRM. Production-grade, not a demo.
Not every company needs all of them. The scoping call is where we figure out which ones actually matter for your team. Here’s the menu:
Want one we don’t have? That’s what your maintenance tier covers — feature requests, new agents, integrations with whatever tool your team adopts next.
The two agents we get asked about most. Most clients use this as their actual first reason to install the stack — because ad spend is where waste shows up fastest and where agents pay for themselves quickest.
This is how a real multi-agent system works — not one model doing everything, but a hierarchy where a CEO orchestrator receives briefs, routes work to specialists, and makes them check each other’s output before anything hands back to a human. Here are three typical workflows:
You don’t talk to 20 agents directly. You brief the CEO — in Slack, email, or a task — and she decides: who owns this, what context they need, who should review the output, and when it’s ready to come back to you. It’s the difference between an AI tool and an AI team.
Every task that lands on the CEO gets sorted into one of two buckets. This is the single most important rule in our stack — it’s what stops agents from over-reaching, and it’s what makes you trust the system.
Writing a blog post, drafting ad copy, optimising bids, building a weekly report, flagging anomalies. Anything with clear guardrails and agents trained for the job. The CEO routes, they execute, QA reviews, you approve.
Example: “Ship a blog about our new pricing” → Content Agent drafts, QA reviews, CEO delivers a ready-to-publish draft.
Something the agents can’t (or shouldn’t) execute alone — board decks, new hire briefs, strategic pivots, customer escalations. Instead of failing or faking it, the agents build you a prep kit: context, options, draft materials, risks.
Example: “We need a customer retention strategy” → agents pull churn data, competitor research, and draft options — you walk into the meeting prepped, not starting from zero.
Brief lands in Slack → routes to the CEO orchestrator.
Runs on a schedule. No brief needed.
Runs on the 1st of the month — or on demand.
Big brief. Routes through the full stack.
Most "AI for marketing" subscriptions are just an API wrapper + someone else’s prompts. You pay monthly forever. You don’t learn anything. You don’t keep anything.
| What you get | Hosted AI tool | AI Engineering (installed) |
|---|---|---|
| Where it lives | Their servers | Your infrastructure |
| Your data | Trains their product | Stays with you |
| Customisation | Whatever their roadmap allows | Anything you want, built for you |
| If you leave | Lose access, start again | Keep everything, keep running |
| Cost over 3 years | $200–$2,000/mo × 36 = $7k–$72k, and you own nothing | $10k build + $6k–$36k maintenance = $16k–$46k, and you own everything |
| Feature requests | "We’ll add it to the backlog" | Shipped in your next monthly update |
We map your current marketing ops, workflows, tools, pain points. Then we pick the 5–10 agents that’ll move the needle first.
Week 1We provision your environment, wire up your Anthropic + Google + CRM + ads accounts, and set up the agent runtime in your stack.
Week 2We take each agent from our stack and retune it for your brand, your voice, your data, your reporting needs. No generic prompts.
Week 3–5We train your team on how to brief agents, review their work, extend the system. You leave week 6 with a running operation.
Week 6Monthly health check, updates when we ship improvements to core agents, small fixes. No new builds.
Everything in Light, plus ~1–2 new agents or significant feature requests built per month. Priority access to Josh.
Everything in Medium, plus ongoing architecture work, 3–5 features per month, and a dedicated engineer on standby.
Tiers are a floor, not a ceiling. Scale up for a busy feature quarter, scale down when things are steady. Cancel any tier with 30 days’ notice.
We deploy the agent infrastructure inside your own accounts — your Anthropic API key, your Google Cloud project, your GitHub repo, your Slack workspace. The agents run on your infrastructure, not ours. You own the code, the configuration, and the data. We’re the builders; you’re the owner.
You need a technical point-of-contact on your side — someone who can give us access to your accounts, review pull requests, and do basic ops work once we hand over. That could be an internal developer, a contractor, or someone on your team with engineering chops. It doesn’t have to be the business owner.
The $10k floor buys you 5–10 agents well-tuned for your core ops. Bigger installs with 15+ agents, complex integrations, or custom workflows typically scope at $25k–$50k. We’ll scope on the call — no hidden charges.
Light ($500/mo) is care and feeding — monthly health checks, updates when we improve our core agents, small bug fixes. No new builds. Medium ($1,500/mo) is the sweet spot for most clients: everything in Light, plus ~1–2 new agents or significant feature builds per month. Heavy ($3,000/mo) is for clients with a busy feature pipeline — ongoing architecture work, 3–5 features per month, a dedicated engineer. You can move between tiers with 30 days’ notice.
Yes. Everything we install is yours. If you cancel maintenance, your agents keep running — you just won’t get our ongoing builds, updates, or support. Most clients stay because the feature pipeline is worth it, but you’re never locked in.
An in-house mid-level developer costs ~$120k/year fully-loaded. We cost $10k upfront + $6k–$36k/year depending on tier. We’re not a replacement for a dev team — we’re a specialist crew for one specific job: installing marketing AI. Once the install is done, a less-senior internal person can maintain it with our support.
The Anthropic Claude SDK for the model layer. Node.js / Python / TypeScript for runtime. Google Cloud or AWS for infrastructure. ClickUp + Slack + Google Workspace for orchestration. We adapt to your stack where it makes sense, but the core is proven tech that will still be working in 5 years.
Yes. The scoping call is where we walk through what we’ve built for Hedgehog, show how the agents interact, and talk about which ones would map to your business. It’s free.
Book a free 45-minute scoping call with Josh. We’ll walk through our stack, map it to your ops, and give you an honest answer on whether it’s worth building.