AI agents for Agencies
AI for agencies: routine out, creative work in.
Agencies sell brains and creativity — yet lose hours to reporting, status meetings and content production lines. Our digital employees turn that ratio back around.
The short answer
In agencies, AI agents take over the time-consuming routine: building client reports, planning social media posts, qualifying leads and consolidating project status from your tools. The team wins back hours every week for strategy, creative work and client relationships — and margin per project goes up.
A glimpse of processes we take over for Agencies
Sound familiar?
The most common time sinks in Agencies
Monthly reports consume days every single time
Social media management doesn't scale with the client base
Project status is scattered across tools, emails and heads
New-business research keeps losing out to the daily grind
Each of these is a recurring process — and therefore automatable. Which one costs you the most time?
Concrete use cases
Typical problems in Agencies — and how our agents solve them
This is just a glimpse: we automate any process that regularly costs you time. Tell us your biggest time sink — we'll tell you honestly what's possible.
Automated client reporting
KPIs from ads, analytics and social accounts are collected automatically, processed and delivered as a finished report in your agency's look.
Content & social production
Post drafts in each client's tone of voice, editorial planning and publishing after approval — multilingual and across channels.
Sales intelligence
An agent scans relevant sources for suitable new-business opportunities, enriches them with context and delivers prioritised suggestions.
Project dashboard
Status, budgets and open tasks from all tools in one overview — without anyone maintaining status lists.
Briefing preparation
Kick-off notes, email threads and call recordings turn into a structured briefing with objectives, target audience and open questions — the team starts with a clear foundation instead of follow-up queries.
Approval follow-up
The agent tracks open client approvals, sends friendly reminders at the right moment and escalates internally before deadlines slip — no project sits idle in the approval loop any more.
Competitor monitoring
Campaigns, rankings and social activity of your clients' competitors are monitored continuously and delivered as a compact summary — talking points for the next client meeting included.
Practical examples
What projects in Agencies look like in practice
Typical project scenarios the way we implement them — from starting point to outcome. Real projects (without client names for confidentiality) are in our case studies.
01Reporting agent: ads, analytics, and social become a finished report
Starting point
At month-end, someone on the team spends hours sitting in ad accounts, analytics, and social dashboards, copying numbers into slides and writing commentary around them. With several clients running in parallel, reporting eats up days that were meant for strategy and delivery — and the report still ends up looking rushed at the end.
How we implement it
A reporting agent pulls the relevant metrics from the connected ad accounts, analytics, and social tools, maps them onto each client's template, and drafts the commentary. The team reviews, adds context and recommendations, and approves before the report goes out.
Typical outcome
Days of copy-paste work turn into a short screen review. Clients get their report on time instead of late — and the team gets its time back for the work that actually moves the needle.
02Debrief agent: the call becomes a clean write-up with action items
Starting point
After every client call or briefing session, a write-up with clear tasks should exist right away — but it often only happens days later, from memory, if at all. Important details get lost, ownership stays vague, and misunderstandings only surface at the next meeting.
How we implement it
A debrief agent processes the recording or notes from a call, summarizes the key points in a structured format, derives concrete action items with owners, and adds open questions for the client follow-up. The draft goes to the team for review before it's sent.
Typical outcome
Every call ends with a debrief that goes out the same day — not once nobody remembers the details anymore. Tasks land where they belong, and client follow-up questions drop noticeably.
03Approval agent: no more "final_final_v3" and scattered feedback
Starting point
Feedback on drafts arrives by email, WhatsApp, tool comments, and verbally on calls — and gets manually stitched together before the next version gets built. Who approved which version last is often unclear, and several file versions end up circulating at once.
How we implement it
An approval agent gathers incoming client feedback from every connected channel in one place, maps it to the right draft and version, and tracks what's been finally approved. Contradictory or unclear feedback gets flagged for a follow-up question instead of silently absorbed.
Typical outcome
The current version is always clearly traceable, without anyone digging through email threads. Approval cycles get shorter because feedback converges in one place instead of spreading across five channels.
04New business agent: research and follow-up while the day-to-day keeps running
Starting point
New business acquisition falls by the wayside the moment active projects apply pressure — research on suitable target companies, following up on first contacts, keeping tabs on old leads. As a result, the pipeline only fills in bursts, usually once things are already getting tight.
How we implement it
A new business agent continuously researches suitable target companies based on defined criteria, prepares short profiles for first outreach, and reminds the team of due follow-ups on existing leads. Every message goes out only after team approval.
Typical outcome
The pipeline gets maintained continuously instead of in acquisition sprints right before a contract ends. Follow-up appointments no longer get lost in the day-to-day, and old leads turn back into active contact.
05Pitch agent: research, cases, and a proposal draft before the all-nighters start
Starting point
Ahead of a pitch, industry research, matching reference cases, and a first proposal draft all have to come together in a short window — usually alongside ongoing project work. The result is late nights right before the deadline and a draft built under time pressure.
How we implement it
A pitch agent researches the prospect's market and competition, pulls together matching cases from your own portfolio, and builds a first proposal draft with service modules. The team handles the strategic sharpening and approves the final version.
Typical outcome
The groundwork for a pitch is ready in hours instead of nights. The team spends the remaining time on the actual idea and positioning — not on research that repeats itself every time.
06Status agent: one dashboard instead of chasing status across tools and emails
Starting point
Current project status is spread across the project management tool, email history, chat messages, and individual team members' heads. Before every client call or internal status meeting, someone has to painstakingly piece the status together — and surprises often only surface in the meeting itself.
How we implement it
A status agent pulls progress, open items, and risks together from the connected tools, emails, and chats and maintains a continuously current project status dashboard per client. It proactively flags deviations from plan instead of letting them surface only in the meeting.
Typical outcome
Status is already settled before client calls, instead of being assembled live. Risks show up earlier, and internal status meetings get shorter because the groundwork is already there.
07Content agent: social media production for more clients without more headcount
Starting point
Every additional social media client means more content planning, more post drafts, more rounds of review — with a fixed team size, that quickly becomes a bottleneck. Either quality drops, or posting frequency slips for individual clients.
How we implement it
A content agent drafts posts, including image concepts, for each channel based on the content calendar and brand guidelines, maps them onto the client calendar, and prepares them for approval. Approved posts get scheduled at the planned time; everything else goes back to the team for revision.
Typical outcome
More clients can be served with the same team, without quality suffering. Content production runs predictably in the background, and the team focuses on polish and strategy.
08Post-costing agent: making visible where the margin actually goes
Starting point
Timesheets get filled in incompletely and late, because nobody has time for logging in the middle of project stress. By the end of the month or quarter, it's unclear which project was profitable and which retainer is actually losing money — the calculation runs on gut feeling instead of numbers.
How we implement it
A post-costing agent compiles time entries from the connected tools, reconciles them against the calculated effort per project, and flags notable deviations. Missing or implausible entries get reported back promptly instead of surfacing only at month-end.
Typical outcome
Which projects and retainers actually generate margin becomes visible instead of estimated. Pricing and scoping decisions for the next contract renewal rest on solid ground.
09Knowledge agent: securing client knowledge before the employee leaves
Starting point
When a team member leaves the agency, knowledge about client history, preferences, and agreed arrangements often leaves with them — scattered across emails, tools, and one person's head. The handover to successors is incomplete, and the client feels the disruption.
How we implement it
A knowledge agent continuously pulls key information about each client from emails, project tools, and documents into a structured overview — contacts, preferences, key decisions, open topics. When a team member changes, this overview is immediately available as the handover basis.
Typical outcome
Staff changes become nearly invisible to the client, because the handover rests on documented facts instead of memory. New team members get up to speed faster, because they don't start from zero.
For context: these are typical scenarios from our project work — your business, your systems and your process shape the actual implementation. Let's talk about your case.
100 % integration — even without APIs
The most common objection: “Our software can't do that.” Our approach: if there is no interface, our agents work with documents, exports, emails or directly on the user interface — like a human employee. That's why “impossible” isn't in our vocabulary.
See all services100 %
connectivity to your systems
24/7
on duty — no holidays, no sick days
+10 hrs
back per week (typical result)
How it works
From intro call to digital employee — in four steps
Initial consultation
You tell us which process in your day-to-day Agencies work costs the most time — free and with no obligation.
Process analysis (fixed price)
We look at systems, data sources and edge cases. The result is an implementation plan with a fixed price.
Pilot within weeks
Your first digital employee goes into test operation on your real data — with your approval at every critical step.
Operation & expansion
Once the pilot runs, the agent takes over for good. Then we automate further time sinks step by step.
Frequently asked questions
AI in Agencies: the key answers
Can the agents write in our clients' tone of voice?
Yes. Each client gets a dedicated language profile (tone, terminology, no-gos). Drafts are created within it — approval stays with your team.
Does this replace our junior staff?
It replaces the production-line work, not the people. Teams typically reinvest the freed-up hours in strategy, concept work and client contact — the things agencies actually sell.
Which tools can be connected?
Practically all common ones (Meta, Google, LinkedIn, analytics, project management tools) — and thanks to our integration approach, niche tools without an official API as well.
Can we resell AI services under our own brand?
Yes. We also work with agencies on a white-label basis — your clients see your brand, we deliver the technology.
How quickly will we see results?
The first automated reports or content pipelines are typically live within a few weeks.
Dig into your industry
The biggest time sinks in Agencies — in detail
Each article tackles one pain point: what it costs, how AI agents solve it and what that delivers in practice. Click a card to keep reading — the band pauses on hover.
Speeding Up Pitch and Proposal Prep: More Pitches, Fewer Late Nights
Speed up pitch and proposal prep at your agency: how AI agents deliver research, case studies, and proposal drafts — sparing the all-nighters before the pitch.
Read article →Stopping Knowledge Loss at Staff Turnover: Securing Agency Knowledge, Speeding Up Onboarding
Stop knowledge loss at your agency: how AI agents capture client knowledge from emails, tools, and people's heads — for handovers without a break and faster onboarding.
Read article →Ending Approval Loops and Version Chaos: How Agencies Speed Up Client Sign-off
Shorten approval cycles at your agency: how AI agents consolidate feedback, keep versions straight, and track sign-offs — no more "final_final_v3" chaos.
Read article →Automating Time Tracking and Post-Costing: Where Agency Margin Actually Goes
Automate time tracking and post-costing at your agency: how AI agents reveal which projects earn margin — and which retainers quietly burn money.
Read article →Automating Briefings and Meeting Notes: From Call to Clean Debrief
Automate briefing and meeting documentation at your agency: how AI agents turn calls into structured debriefs, tasks, and complete briefs — without extra rework.
Read article →Automating New Business Research: A Full Pipeline Despite a Full Workload
Automate new business at your agency: how AI agents research, qualify, and follow up on leads — keeping the pipeline steady without the feast-or-famine pitch cycle.
Read article →Automating Project Status: No More Status-Hunting Across Tools, Emails, and Meetings
Automate project status at your agency: how AI agents merge status from tools, emails, and chats into one dashboard — fewer meetings, no surprises.
Read article →Scaling Social Media Production: How Agencies Serve More Clients Without More Headcount
Scale social media production at your agency: how AI agents handle content planning, post drafts, and approvals — more clients per team, consistent quality.
Read article →Automating Client Reporting: How Agencies Reclaim Days Every Month
Automate client reporting at your agency: how AI agents pull data from ads, analytics, and social into finished reports — giving agencies back days each month.
Read article →AI Potential Check
Where is the automation potential hiding in your Agencies business?
Our AI assistant asks you 5 targeted questions and instantly identifies which processes in your business are eating up time — free, in under 3 minutes. Our agent knows the typical time-wasters of your industry — and works just as well for any other: we automate every recurring process.
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Which process costs you the most time?
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