AI Agents at Your Agency: What They Already Do Well and What They Still Don't
Paul Boards ·
At an agency, AI agents already handle work well when it has a clear beginning, middle and end and reliable supporting material: first-draft captions, report summaries, organizing briefs, triaging requests and reading through a long history to find what matters. They still stumble where written context is missing, where the decision depends on the client relationship and where a mistake is costly and nobody reviews it.
The rule of thumb we use to tell one from the other is simple: if you can explain the task to a capable intern in one paragraph and check the result in two minutes, an agent will probably help. If the task depends on “you know how the client is,” it's still a job for a person, with the agent at most laying the groundwork.
What an AI agent is inside an agency
An agent is an AI assistant with a defined function, access to some of the company's information and permission to carry out certain actions, like creating a task, writing a draft or putting together a report. The difference from a regular chat is context: the agent works with the client data you've already saved, instead of starting from scratch in every conversation.
In Scrumboards, for example, BrainPilot brings together ten agents with separate roles: ORION writes, PIXEL handles visual assets, STELLAR supports client service, POLARIS builds reports, CYPHER looks at paid media, LEX works on sales intelligence, NEO thinks about innovation, QUANTUM helps with development, MORPHEUS with strategy and SIGMA with finance, the last one available only to people with permission to see money. Splitting by function helps give each one the right context and limit what each one can touch.
Where agents already deliver
A first draft from a well-filled-out brief
When the client has a brand voice, audience and references on file, the agent produces a draft post, short script or email that comes out close to the mark. Someone on the team edits instead of writing from scratch. The win is skipping the blank page. Final quality is still the responsibility of whoever reviews it.
Summarizing long material
A kickoff meeting produced three pages of notes, the task has forty comments and the client sent a company overview PDF. Asking the agent “what was decided and what's still open” usually works well, because the answer can be checked against the original. It's worth asking it to cite where each point came from.
Reports that pull together data already in the system
If the month's tasks, hours and revisions are logged, the reporting agent turns them into readable text for the client: what was delivered, what was late and why, where there was rework. The agent organizes numbers the system has already measured. That's why report quality depends on the team logging its work properly.
Triage and organization
Turning a confusing client email into three tasks with due dates and owners, suggesting priority based on the delivery date, grouping similar requests. These are tidying-up tasks, tedious for people and easy to check.
Research with sources
When the agent has web access, it can look up what competitors have published, how a term is used or the date of an industry event. The rule here is to require the link. A claim without a source goes back in the queue.
Quick test before delegating: can you say in one sentence how you'll know whether the result is right? If you can't, the task isn't ready for an agent yet.
Where they still fall short
Reading what isn't written down
The client's marketing director hates the word “amazing,” but that never made it into the brief. The last campaign was approved because the co-owner liked the photographer. The agent has no way of knowing any of that. Much of what's known about an account lives in the account manager's head, and the agent only improves on this if someone writes it down.
Decisions that carry relationship weight
Negotiating a tight deadline, responding to a complaint about a delay, saying no to an out-of-scope asset. The agent can suggest wording, often good wording, but deciding how and when to say it depends on knowing the person on the other side. Sending it on autopilot is the fastest way to lose an account.
Creativity that takes risks
Agents tend toward the middle of the road: the most likely idea, the most common phrase. For routine content, that's enough. For a campaign that needs to stand out, the agent works as an alternatives generator for the team to discard, combine and twist. The idea that ships usually comes from someone who read the options and thought “none of these, but that third one reminded me of something else.”
Numbers nobody checked
Language models can write a plausible number that doesn't exist. In a client report, that's serious. That's why the reporting agent should work with data the system has logged, and any number that doesn't come from there needs a source or comes out of the text.
Sensitive topics without a technical barrier
If the agent reads everything, it can repeat everything. An intern who asks the assistant “how much does client X spend on media” shouldn't get an answer if they don't have permission to see that data on screen. That barrier has to live in the system, not just in a written instruction to the agent.
Want to test agents with your own clients' data? Create a free workspace and set up the first brief for ORION to work on, no credit card required.
How to start without creating more work
- Pick a repetitive task that's easy to check. A client's weekly summary is a good start. A launch campaign is a terrible start.
- Get the context in order first. Fill out the client profile with brand voice, audience, competitors and banned words. The agent can only do as well as the record allows.
- Decide who reviews. Every agent output that goes to the client is checked by a named person. This avoids the situation where everyone assumes someone else checked it.
- Measure by completed work. Compare how long the task took before and after, including review. If review eats up the gain, adjust the brief or drop that task.
- Write down what went wrong. Every correction that repeats becomes a line in the client profile. Within a few weeks, the draft gets closer to the mark.
What to ask any tool with agents
Before choosing a platform, it's worth asking a few objective questions. They apply to Scrumboards and to any other option on the market.
| Question | Why it matters |
|---|---|
| Does the agent see only what the person who asked can see? | Keeps the assistant from becoming a shortcut to restricted data. |
| Does it work with the client's profile and files? | Without context, the result is generic. |
| Are actions logged? | You need to know who asked for what and what the agent did. |
| Does anything sent externally go through human approval? | A wrong email sent on its own costs more than the time saved. |
| Do I need my own AI key? | Determines cost and who manages the provider account. |
In Scrumboards, the agent acts with the access of whoever asked, and asking one agent for help from another doesn't expand that access. The platform's AI is already included, with no need to add your own key. Since everything runs inside the same project and client management system, the agent works with the tasks and profiles the team already maintains. Details on each module are in the product overview.
A realistic workday with agents
Picture a small agency serving a custom furniture store. On Monday morning, the account manager asks the reporting agent for last week's summary: six deliverables, one artwork revision due to a measurement error, two late tasks awaiting client approval. She checks it in three minutes, adjusts the tone of one paragraph and sends it through the report link.
Next, she asks the copywriter for three caption options for Thursday's post about compact kitchens. One works with edits; the other two go in the trash. The designer gets the approved caption and builds the asset with the colors and fonts from the store's Brand Kit.
In the afternoon, the client sends a voice message asking to “move up the December campaign.” The account manager doesn't hand this to the agent to answer. She calls, understands what changed and only then asks the agent to turn the conversation into tasks with due dates. The difficult conversation stayed with her, and the tidying up went to the agent.
Frequently asked questions
Do AI agents replace copywriters and designers?
Not for work that requires judgment. They speed up drafts and variations, and someone on the team chooses, edits and takes responsibility for the result.
What's the first task to test an agent on?
A weekly client summary or turning an email into tasks. Both are repetitive and easy to check.
Can the agent message the client directly?
It can prepare the draft. Sending should go through a person, and a good tool requires that approval.
How do I keep the agent from making up numbers?
Ask it to work only with data logged in the system and require a source for any external number.
Do I need to pay for a separate AI to use the Scrumboards agents?
No. The AI comes with the platform. Plans are on the pricing page.
Start with the client you know best
The best test is with the account whose voice you know inside out, because it's easy to tell when the agent gets it right and when it doesn't. Open your free account, add that client and ask POLARIS for the first weekly report. If you'd like to compare modules first, the Scrumboards home page shows everything that's included.