Fourteen builds across three categories — AI agents, automations, and AI-assisted client deliveries.
A 17-page PDF documenting 14 production AI builds delivered for digital agencies over the last year. Each entry: the client’s real problem, the AI-augmented solution, exact tech stack, AI’s specific role, and the annual dollar value.
Each of the 14 case studies follows the same format. Flip straight to the patterns that match what your clients are asking for.
Not a sanitised version. The actual operational issue, in their own words — including what failed before.
The actual approach shipped: architecture, integration points, and the design choices we made under pressure.
Claude, n8n, WordPress, Twilio, ElevenLabs, GA4 — specific tools and versions, not vague “AI.”
What AI built vs. what humans owned. The judgement layer made explicit — no hand-waving.
Hours recovered at staff rate, cost avoided, or annualised revenue lift. Real numbers — the kind you can show your CFO.
What would have happened without the build. The cost of doing nothing — usually the most expensive line.
Organised into three categories — so you can flip straight to the patterns that match what your clients are asking you for.
Each annualised in dollars or hours saved. The full portfolio includes problem, solution, AI’s specific role, and the without-this-build counterfactual for all 14.
Marketing Consultancy. Botpress chatbot embedded on site, trained on 250+ podcast episodes with citation links back to source content. Handles lead capture, content discovery, and qualified routing into the agency’s CRM.
Marketing Consultancy. AI-augmented workflow handling 365+ episodes/year of prep, show notes, and SEO.
Marketing Consultancy. ElevenLabs voice agent, phone-callable, with explicit AI self-identification.
B2B IT Services MSP. 9 landing pages in 4 weeks vs. 12–16 traditional.
Legal MSO. 7-day emergency rebuild behind partner brand. Zero downtime.
Audits training decks against current sources without rewriting them.
Including 4 automations, 1 more delivery, and 3 additional AI agents — each with the full anatomy: problem, solution, tech, AI’s role, dollar value, counterfactual.
Most “AI case studies” online are marketing fluff — vague claims about “transformation” with no numbers, no tech stack, and no admission of what AI actually did versus what humans owned.
Agency owners need real proof: specific builds, specific tools, specific dollar values. The kind of detail you’d want before recommending an AI project to a paying client.
We put this portfolio together because we got tired of sending the same 14 patterns by email every time an agency owner asked, “Have you done anything like X for an agency before?”
AI integration for a digital agency is the embedding of AI workflows, automations, and agents inside the agency’s existing marketing, sales, and operations stack. Done well, it eliminates repetitive execution, multiplies output, and recovers margin lost to manual coordination — without replacing the tools the team already uses.
Most agencies see their first production AI workflow live within 2 to 4 weeks. The 1-week audit identifies the highest-ROI opportunity; the build and integration typically takes another 1 to 3 weeks depending on workflow scope and existing tool stack. More sophisticated workflows layer in progressively over the following months.
No. We handle every technical layer — integration, testing, training, and ongoing optimization. Your team only needs to understand its current workflows. The AI integrations are designed to feel native inside the tools your staff already uses, with no new platform to learn.
We are tech-stack agnostic. We integrate AI into HubSpot, ClickUp, Monday, Google Workspace, Slack, Notion, Airtable, custom CRMs, and bespoke internal tools. We do not require a rip-and-replace migration, and we do not push our own SaaS platform.
Read it on your commute. Find a build pattern that fits one of your clients. Then book a call — and we’ll spend the time on architecture, not introductions.