The essential AI stack for a small agency
The five jobs a small agency actually needs AI for, which tool category covers each, the order to adopt them in, and what it costs at five people.
A small agency does not need a large AI stack. It needs a small one that everybody actually uses. The failure mode is predictable: six tools adopted in a month, two of them used, four renewing quietly for a year.
This guide describes the five jobs worth covering, the order to adopt them in, and the cost structure to expect once you are paying per seat.
- Five jobs cover almost everything: drafting, knowledge, meetings, automation and visuals.
- Adopt in order — assistant first, automation last.
- Per-seat pricing is what makes an agency stack expensive, not the number of tools.
- A tool without an owner and a documented workflow will not survive its first month.
The five jobs worth covering
Drafting and research is the highest-frequency job in any agency, and a general-purpose assistant covers it. Knowledge and client records need a workspace so that what one person learns does not stay in their inbox. Meetings need capture so that calls turn into written commitments without someone typing through them.
Automation connects the systems you already run once a workflow repeats often enough to justify building it. Visuals and decks close the gap for teams without a full-time designer. Everything beyond these five is a specialisation — worth adding when a specific client need demands it, not before.
The adoption order that works
Start with the assistant. It has the broadest surface area, the lowest setup cost and the fastest visible payoff, which matters because the first tool sets the team's expectations for the rest.
Add the workspace second — it is the one that compounds, because its value grows with how much is in it. Meetings third, once you can point at calls being re-typed by hand. Visuals fourth. Automation last, and only for a workflow you can describe step by step without thinking.
Automation last is the counterintuitive one. Automation platforms are the most technically capable tools on this list and the most commonly abandoned, because automating a monthly task saves almost nothing while costing a weekend to build.
What it costs at five people
Per-seat tools are the multiplier. A workspace and a meeting assistant at five seats each will typically exceed the cost of every volume-priced tool in the stack combined.
Two structural savings are worth taking once the stack is stable. Not everyone needs every seat — meeting assistants often only need the people who run client calls. And volume-priced automation platforms usually cost less than per-seat alternatives at agency scale, which inverts the usual assumption that automation is the expensive part.
| Tool | Starting price | Billing condition | Free access |
|---|---|---|---|
| Claude | USD 20/mo · Pro | $20 if billed monthly; $17/mo billed annually ($200 up front) | Yes |
| ChatGPT | EUR 23/mo · Plus | monthly billing | Yes |
| Notion | EUR 9.5/mo · Plus | per member/month; shown with yearly billing (save up to 20%) | Yes |
| Fathom | USD 16/mo · Premium | $16/mo billed annually; $20/mo billed monthly | Yes |
| Otter.ai | USD 8.33/mo · Pro | $8.33/user/mo billed annually; $16.99/user/mo billed monthly | Yes |
| Make | USD 9/mo · Core | $9/mo for 10,000 credits; annual billing saves 15% or more | Yes |
| Zapier | USD 19.99/mo · Professional | $19.99/mo (750 tasks) billed annually; $29.99/mo billed monthly | Yes |
| Beautiful.ai | USD 12/mo · Pro | $12/mo billed annually; a $45/mo month-to-month Pro option is offered separately | Trial |
Prices verified from official vendor pricing pages on 2026-08-06. Tools whose pricing we could not confirm are excluded from this table rather than estimated. Prices appear in the currency each vendor quoted us, so this table mixes EUR and USD; convert before comparing exactly.
Give every tool an owner
The reason agency stacks decay is not tool quality. It is that nobody owns the workflow. Each tool needs one person responsible for the template, the naming convention and the answer to "how do we do this here".
Write the workflow down in one paragraph before you buy. If you cannot describe how the tool fits your existing process in a paragraph, the adoption will fail regardless of how good the software is.
Review the stack quarterly
Put a recurring quarterly review in the calendar with three questions per tool: who used it this quarter, what would break if we cancelled it, and is there a cheaper tier that fits our actual volume.
Most agencies find at least one cancellable subscription per review. That review is usually worth more than any individual tool choice on this page.
Frequently asked questions
Do we need both an assistant and a dedicated writing tool?
Usually not at agency scale below ten people. Dedicated writing platforms earn their price through brand-voice control, templates and multi-seat workflow — real advantages, but ones that only pay off at consistent content volume.
Make or Zapier for a small agency?
Zapier is faster to learn and has the broader integration catalogue; Make is generally cheaper at volume and better at complex branching logic. If nobody on the team enjoys building automations, the easier tool is the correct one — an unused automation platform saves nothing.
How do we handle client confidentiality?
Check each vendor's business-tier terms, which frequently differ from the consumer defaults on training-data use and retention. Decide as a team which client material may go into which tool, and write that rule down before the question comes up mid-project.
What should we not automate?
Anything that runs less than weekly, anything where an error reaches a client without a human seeing it first, and anything whose steps you cannot yet describe reliably. Those three rules prevent most automation regret.
Related reading
How to choose an AI tool
The per-tool decision framework behind this stack.
Automation & client management
The category to approach last, and carefully.
Best AI tools under $20/month
Keeping the per-seat total under control.