25 production-ready use cases across 6 departments — HR, Sales, Marketing, Service Delivery, Client Services, and Finance & IT. Each one shows the manual work being replaced and the AI capability that ships it. Most agencies start with two or three.
— Table of contents · Vol. 01
Jump to ↓
Recruitment · onboarding · performance · engagement · contractors
Lead gen · outreach · qualification · proposals · closing · CRM
Research · content · SEO/SEM · social · email
Project management · dev · design
Communication · reporting · support
Invoicing · reporting · IT & systems
Department 01 / 06
AI handles the high-volume, structured parts of HR — sourcing, screening, scheduling, sentiment analysis — so people teams can focus on judgement work.
5 entries · start w/ recruitment
Department 02 / 06
AI compresses the time between lead in and call booked — research, enrichment, scoring, outreach, qualification — so reps spend time on the conversations that close.
6 entries · start w/ lead enrichment
Department 03 / 06
Marketing is the department where AI delivers the largest output multiplier — research, content, optimisation, personalisation — without growing headcount.
5 entries · start w/ content
Intermission · Real production examples
Get the free 17-page case study portfolio. Each documents the problem, AI capability, tech stack, and annual dollar value.
Department 04 / 06
Delivery is where AI-native tooling moves fastest — coding, design assistance, project management — letting teams ship more inside the same client retainers.
3 entries · start w/ web/app dev
Department 05 / 06
The highest ratio of administrative work to billable value — reporting, meeting notes, ticket triage. AI clears that overhead so account managers can focus on account growth.
3 entries · start w/ reporting
Department 06 / 06
Where AI absorbs the most reconciliation, anomaly detection, and routine triage — work that scales linearly with the client base unless automated.
3 entries · start w/ invoicing
FAQ · 5 questions before you start
The most common are content production, lead enrichment, client reporting, and intake qualification. These four are present in roughly 80% of agency engagements because they touch billable hours directly and ship inside the tools the team already uses — HubSpot, ClickUp, Google Workspace, Slack.
Start with the workflow that consumes the most billable hours per week. For most agencies that means client reporting, content production, or lead enrichment. The point is not to pick the cleverest AI use case — it's to pick the workflow whose hours-saved math justifies the build inside the first 60 days.
Yes. The use cases that scale down best are content production, reporting, and intake qualification — they integrate into existing tools without needing a dedicated AI operator. Larger automation patterns like CRM intelligence and predictive analytics typically need a 15-plus person agency before the math works.
Most individual workflows ship in 1 to 3 weeks once scoped. Lead enrichment and content production typically ship fastest. CRM intelligence and predictive analytics take longer because they involve more integration surface area.
Yes. The free case study portfolio documents 14 production AI builds across 3 categories — chatbots, voice AI, automations, and AI-assisted deliveries. Each includes the problem, solution, tech stack, AI's role, and the annual dollar value.
— Last entry · Pick one to start
Book a 30-minute strategy audit. We'll identify which two or three AI use cases would pay back fastest inside your operations — and you'll leave with a clear go/no-go.
No prep · Prioritised shortlist on the call · Honest "not a fit" if it isn't
