The short answer. A marketing agency should start AI on repeat work: weekly research briefs, client reporting commentary, first drafts with a QA checklist, and SOPs. At DemandNexus, weekly research went from four hours to one. Account managers check every number, and the agency decides how to price work before AI makes hours meaningless.
An agency’s week is made of repeat work: reports, research, first drafts, briefs. It’s also where margin leaks. Every account manager rebuilds the same report in a slightly different way.
The 2026 surveys agree that agencies are using AI for this. AgencyAnalytics surveyed 494 agency professionals and found 79% save five or more hours a week with it, and that reporting and performance summaries are now the most-cited area of value, at 42%. A separate survey of Duda’s customers found 78% rank efficiency and margins as their top AI priority. Both companies sell to agencies, and Duda’s sample is its own customers, so I’d read these as direction and not as a benchmark.
I ran an AI-supported operation at a B2B agency, DemandNexus, so parts of what follows I’ve done.
1. Weekly research briefs
This is the one I’ve run: at DemandNexus, weekly research went from four hours to one. It’s the first thing I’d write down and automate.
In: the accounts and competitors to watch, and the sources for each.
AI does: pulls what changed into a one-page brief with fixed headings.
A person checks: the account owner reads the brief and strikes anything with no source.
Measure: hours per account per week.
2. Client reporting
In: exports from the ad and analytics platforms, and last month’s report.
AI does: drafts the commentary on what moved and by how much.
A person checks: the account manager checks every number and adds the part AI can’t: why it happened and what to do next.
Measure: hours per report, and client replies to the “what next” section.
3. Brief to first draft, with a checklist
In: the client brief, brand voice notes and examples they’ve approved.
AI does: writes a first draft and fills in a checklist: facts checked, claims sourced, voice matched.
A person checks: an editor reads the checklist before the draft, and rejects any draft with an empty box.
Measure: edits per draft, and drafts approved by the client on the first round.
4. SOPs and process audits
I used Claude and GPT-4o for SOPs and process audits. The rule I wrote in the case study was to automate the weekly work first so the hours go back to clients.
In: how the team does a task today, written by the person who does it.
AI does: turns that into a step-by-step SOP and points out steps that repeat.
A person checks: the person who does the task tries the SOP and corrects it.
Measure: how long a new hire takes to do the task alone.
Client data. Read the contract before putting a client’s data into a tool, and use only tools the client would accept.
Numbers in reports. Checked by a person, every time.
Strategy and recommendations. This is what the client is paying for.
Anything published under the client’s name.
Drafts that sound alike. The Duda survey’s headline says agencies fear “slop”, and I think the fear is fair. A brand voice sheet and a firm editor are the fix.
Trust. The Glossy+ and Modern Retail+ research found marketers who use AI see benefits, but trust and complexity are still barriers.
Hours that stop meaning anything. If AI makes a task take a quarter of the time and you bill by the hour, you’ve cut your own revenue. Decide the pricing change before the time savings arrive: a retainer for a result, a fixed price per deliverable, or a share of what the work earns. That’s my view and not a survey finding.
Week 1: list the repeat tasks across accounts and the hours each one takes.
Week 2: write down the top one, step by step, with the person who does it.
Week 3: run the workflow beside the old way on two accounts.
Week 4: compare hours, check the drafts, and tell the clients what’s changed and why.
Hours saved per task, edits per draft, first-round approval by clients, and margin per account before and after. If margin doesn’t move, the hours went somewhere else, and that’s the first thing I’d look for.
Questions people ask
How much time do agencies save with AI?
A 2026 AgencyAnalytics survey of 494 agency professionals found 79% save five or more hours a week, with reporting and performance summaries the most cited value at 42%. The company sells to agencies, so treat it as direction.
How should agencies price work when AI makes tasks faster?
Decide before the savings arrive. If a task takes a quarter of the time and you bill by the hour, you've cut your own revenue. Options are a retainer for a result, a fixed price per deliverable, or a share of what the work earns. That's my view, not a survey finding.
What are the risks of AI in agency work?
Client data in the wrong tool, drafts that all sound alike, unchecked numbers in reports and unclear contract terms. A brand voice sheet, a firm editor and a person checking every figure address most of them.