AI tools for agencies
Agencies produce more written and visual output per head than almost any other business, and most of it is not billable. Pitch documents, status reports, internal briefs, credentials decks — the work that wins and retains clients but never appears on a timesheet.
That is the layer where AI moves the needle for an agency.
Non-billable output, produced faster
- Pitch documents. Structure and first-draft narrative from a brief, so the team spends its time on the idea rather than the document.
- Credentials and case studies. Turning finished work into a written case study, which agencies chronically defer.
- Client status reports. Formatting the same update for a marketing manager and for a board.
- Internal briefs. Converting a client conversation into a brief the delivery team can act on.
- Research. Sector and competitor background before a pitch into an unfamiliar category.
Client content — with a policy
Using AI on billable client content needs a decision made deliberately, not left to individuals.
Three questions worth settling as an agency:
- Do client contracts permit it? Some now explicitly restrict AI-generated deliverables or require disclosure.
- Do you disclose it? Being asked later and having to explain is worse than raising it up front.
- Who reviews before delivery? An account lead named for this, not whoever is free.
Agencies caught delivering unreviewed AI output lose accounts over it. The tool is not the risk; the absence of a policy is.
Keeping brand voice across clients
An agency writing for several clients needs several voices, which is exactly where generic AI output shows most.
The workable approach is a short voice brief per client — three or four rules plus two writing samples — pasted in with each request. It takes ten minutes to write once and materially improves everything drafted for that client afterwards.
Where the agency workflow connects
Pitch, proposal, retainer, invoice, renewal is the agency cycle, and the documents at each stage carry the same client details.
Because the AI Workspace sits with the CRM, quotations and invoicing, the pitch drafted in the workspace becomes a quotation against the client record and then an invoice — with the multiple contacts, retainer dates and renewal follow-ups held on the same record.
Frequently asked questions
What should an agency use AI for?
Non-billable output first — pitch documents, credentials and case studies, client status reports, internal briefs and pre-pitch research. That is where the volume is and where it is not client-facing deliverable work.
Can we use AI on billable client work?
Only with a policy. Check whether client contracts permit it, decide whether you disclose it, and name who reviews before delivery. Agencies lose accounts over unreviewed output, not over the tool itself.
How do we maintain different brand voices?
Write a short voice brief per client — three or four rules plus two writing samples — and paste it in with each request. Ten minutes once, and it improves everything drafted for that client afterwards.
Should we tell clients we use AI?
Generally yes, proactively. Being asked later and having to explain is considerably worse than raising it up front, and some contracts now require disclosure anyway.
Does it work alongside our client and billing records?
Yes — the workspace shares an account with the CRM, quotations and invoicing, so a drafted pitch becomes a quotation against the client record and then an invoice.