The most common question we get from agency owners is not “should we use AI?” It is “where do we start?” And the honest answer is: it depends entirely on your agency.
A creative agency has different bottlenecks to an SEO agency. A 5-person studio has different constraints to a 40-person shop. The starting point is not a tool recommendation. It is an audit.
Why most agencies start in the wrong place
Most agencies start with whatever AI tool landed in their inbox that week. Someone signs up for ChatGPT, writes a few blog posts, and declares that AI is now part of their workflow.
That is not implementation. That is experimentation. And experimentation without structure wastes time.
The agencies that get real results start by understanding their own operations first. They map their workflows, measure where time is spent, and identify the specific bottlenecks where AI can make the biggest difference.
How to run your own AI audit
You do not need a consultant for this. You need a few hours and honest answers from your team.
Step 1: Map your core workflows.
Write down every major process in your agency across three areas:
- Sales: From lead comes in to proposal sent to deal closed.
- Delivery: From brief received to work delivered to client signed off.
- Operations: From project setup to invoicing to reporting.
Do not overthink it. A list of steps for each is enough.
Step 2: Score each step.
For every step in your workflow, score it on two dimensions:
- Time cost (1-5). How many hours per week does this step consume across your team?
- Creativity required (1-5). How much original thinking, judgement, or client-specific nuance does this step need?
The sweet spot for AI is high time cost, low creativity. These are the tasks that eat your hours but do not require your best thinking.
Step 3: Identify your top five.
Sort by the biggest gap between time cost and creativity required. Your top five are where AI delivers the most value with the least risk.
Common examples we see across agencies:
- Proposal first drafts. High time cost (4-5), low creativity needed for the structure (2). The strategic positioning needs a human, but the formatting, case study insertion, and standard sections do not. See how agencies are using AI to write better proposals.
- Meeting notes and follow-ups. High time cost (3-4), very low creativity (1). AI transcription and summary tools handle this immediately.
- Competitor and prospect research. High time cost (3-4), low creativity (2). AI can pull together a research brief in minutes rather than hours.
- Status reporting. High time cost (3), zero creativity (1). Pulling data from project management tools into a client-friendly format is pure automation territory.
- Content variations and resizing. High time cost (3-4), low creativity (1-2). Generating social crops, email versions, or format adaptations from a master asset.
What to do with the results
Take your top five and pick one. Not the easiest one. Not the most exciting one. The one where the time saving is clearest and you can measure the result within two weeks.
Build the system for that one workflow. Test it on real work. Measure the time saved. Get feedback from the team using it.
Then move to number two.
The agencies that try to automate all five at once end up with five half-built systems that nobody uses. The agencies that nail one, prove it works, then move on are the ones that compound the gains. For a structured approach to this sequencing, see our guide on building an automation strategy.
The 80/20 of agency AI
In most agencies, roughly 20% of the work consumes 80% of the time that AI could save. Your audit finds that 20%.
You do not need to automate your entire agency. You need to find the handful of workflows where AI turns hours into minutes, then protect the human work that actually drives your value.
The strategic thinking, the client relationships, the creative direction. Those are yours. Let AI handle the rest. For more on how this plays out across different agency functions, see how agencies are actually using AI in 2026.
This is part of Delivery Notes, a series on implementing AI inside your agency. Subscribe to the newsletter to get new articles weekly.
