Can AI write your monthly client report commentary?
Short answer: Yes, mostly. The four big agency reporting platforms, AgencyAnalytics, DashThis, Whatagraph and Swydo, all now ship an AI feature that drafts the written summary for a client report by reading the connected data and describing what moved. What it is genuinely good at today is the first draft: pulling the numbers, naming the biggest change, and writing it in plain sentences instead of bullet fragments. What it still gets wrong is context your account manager knows and the platform doesn't, a client's seasonal dip that looks like a problem but isn't, or a campaign pause the client asked for. Treat the AI draft as a starting point you edit, not a finished report you send unread.
You want to know if AI can actually take the monthly report-writing grind off your plate, not just add another dashboard.
I'm Ranjit, and I run Blur Studio: 15+ years building software, 120 apps taken live, and clients who have gone on to raise $10M+. I build AI systems and processes that help businesses do a lot more with a lot less time. I also work differently from most of what else is out there, more on that further down this page. Say hello.
What can AI actually do in a client report today?
Every major agency reporting platform has added an AI layer in the last couple of years, and the pattern is consistent across all of them: the AI reads the metrics already pulled into the dashboard and writes a short paragraph describing what happened. It's genuinely useful for three things.
- Writing the first draft of the summary: Turning "sessions up 12%, conversions down 4%" into two readable sentences, instead of your team doing it by hand for every client, every month.
- Flagging the biggest mover: Most of these tools are decent at spotting the metric that changed the most and surfacing it first, which saves the manual scan through a dashboard looking for what matters.
- Answering a quick question about the data: Several platforms now let you ask a chat-style question like "why did conversions drop in week three" and get an answer pulled from the connected data, instead of someone opening three tabs to check.
What it's not good at yet: knowing that the client paused their own ad spend on purpose, that a slow month was a planned content gap, or that a competitor ran a sale that explains a dip. That context lives with your account manager, not in the connected data feed, so the AI draft reads the numbers correctly but sometimes draws the wrong conclusion about why they moved.
How do the main reporting platforms handle AI?
I checked each vendor's own pricing and feature pages directly rather than going off reviews, since this is the kind of claim that changes fast.
AgencyAnalytics
AgencyAnalytics, a reporting and dashboard platform built specifically for agencies to show clients their marketing results, prices at $20 per client per month on annual billing. It includes an "AI Summary" feature for reports and dashboards, an "Ask AI" tool for querying the connected data, and what it calls Metric Insights for automated insight generation. A separate add-on called AI Tracker, priced at roughly $20.83 a month per 250 credits on annual billing, is a different product: it monitors brand visibility and sentiment across AI engines like ChatGPT, not report writing.
DashThis
DashThis, a dashboard-building tool that pulls data from your marketing platforms into one view, runs four tiers from Individual at $44 a month (3 dashboards, 15 data sources) up to Standard at $429 a month (50 dashboards, unlimited sources), based on monthly billing. Every plan includes a basic AI Insights feature with four fixed summary types: Summary, Opportunities, Wins and Issues, with no custom questions. A $19 a month add-on (or $15 billed yearly), AI Insights PRO, unlocks a chat mode where you can ask the AI custom questions about the dashboard.
Whatagraph
Whatagraph, a marketing reporting platform that blends data from several channels into one client-facing report, lists its Max plan from €699 a month on annual billing, with a custom-priced Prime tier above it for higher-volume agencies. Both plans include what it calls IQ Agents, described on its own pricing page as agents that set up data sources, build report blends and draft report content. The Prime tier adds IQ+, which allows custom prompts and building new dimensions, on top of the base IQ agents in Max.
Swydo
Swydo, a report and dashboard builder aimed at marketing agencies and freelancers, charges a base €69 a month (€62 on annual billing) covering 10 connected data sources, with extra sources priced on a sliding scale down to €2 each past 500. AI-powered report summaries and an AI report builder that can draft a report from a description are included in the base price, along with credits for AI usage under a fair-use policy.
The pattern across all four: AI commentary is either included in the core price or a small add-on, not a separate expensive product. None of them publish a detailed breakdown of exactly how accurate the AI commentary is against a human-written one, so the honest approach is to run it on one real client report before trusting it on all of them.
What does AI get wrong in client reports?
- Missing context outside the data feed: If a client cut their own budget, changed their offer, or asked for a pause, the AI summary won't know unless someone tells it, and it will describe the resulting dip as if it were unexplained.
- Confident wording on noisy data: Small sample sizes and short date ranges create swings that look dramatic in a sentence ("conversions doubled") but are statistically meaningless. AI tends to narrate noise as a trend because it's matching a pattern in the numbers, not judging whether the pattern is real.
- Flattening nuance into a generic sentence: Left unedited, AI-written commentary across different clients can start to sound the same, which clients who compare notes will notice.
None of this means skip it. It means read every AI draft before it goes to a client, the same way you'd read a junior team member's first draft.
A worked example: one client, one month
Say a client's traffic dropped 18% in a given month and conversions held flat. A connected AI summary tool reads this and might write: "Traffic declined 18% this month while conversions remained stable, suggesting improved lead quality despite lower volume." That's a reasonable first read of the raw numbers. But if your team knows the client paused a seasonal campaign on purpose for budget reasons, the better sentence is: "Traffic declined 18% following the planned pause of the summer promotion; conversion rate actually improved, since the traffic that remained was higher-intent organic and email, not paid." Same data, a materially better report, and the difference is one piece of context the AI tool had no way to know. That's the edit that takes 90 seconds and is the entire reason a human still reads every report before it ships.
How do I get started safely with AI in client reporting?
- Turn it on for one client first: Pick a client whose account manager you trust to catch errors, not your newest or most sensitive account.
- Compare the AI draft against what you'd have written by hand: Do this for two or three reporting cycles before rolling it out wider.
- Keep a short context note per client: A running list of anything unusual happening with that account (a pause, a budget change, a seasonal pattern) that the account manager adds to before the AI drafts the next report, so the gap above gets smaller every cycle.
- Never send an AI draft unread: Build the five-minute read-through into your reporting process as a hard rule, not a suggestion.
My guide to AI for marketing agencies covers where else AI genuinely helps in agency work, and my AI workflow guide explains how to chain this kind of step into a bigger automated process safely.
How would Blur Studio approach client reporting?
If one of the platforms above already fits your stack, I'd tell you to keep using it; adding a custom build on top of a tool that already does the job isn't a good use of your budget. Where I come in is when you want client reporting folded into a single branded client portal instead of a separate reporting tool, with an AI-written summary sitting next to the raw numbers on each client's own results page, written against the context your team actually has about that account rather than the data feed alone. My KPI dashboard guide covers the thinking behind building one of these from scratch.
Questions people ask
Can AI fully replace a human writing client reports?
Not reliably yet. It can write a strong first draft from the connected data, but it doesn't know context outside that data, like a client-requested pause or a competitor's sale, so someone still needs to read and adjust every report before it goes out.
Which agency reporting tool has the best AI feature?
As of October 2026, they're fairly close. AgencyAnalytics and Swydo include AI summary writing in their base price, DashThis gates its chat-style AI behind a $19 a month add-on, and Whatagraph's IQ Agents are included on its Max plan starting from €699 a month. Pick based on which platform's core reporting and connectors fit your stack first, then treat the AI feature as a bonus.
Is AI-written client commentary safe to send without checking?
No. Every vendor's AI summary reads correctly off the connected data, but none of them know context outside that data. A quick human read-through before sending catches the cases where the numbers moved for a reason the AI couldn't see.
Do these tools train their AI on my client data?
Check each vendor's own data policy before connecting live client accounts, since this varies and changes over time. None of the four platforms covered here publish a blanket answer that applies forever, so confirm directly with the vendor before relying on it for sensitive client data.
Roughly what does a custom reporting build cost?
As a broad reference, fixes and finishes start at around $1,500, and new builds start higher, always a fixed price agreed in writing before I start, never an hourly rate. My AI app cost guide explains what actually drives a quote up or down.