What reporting can agents automate?
- Daily owner summaries in Telegram, WhatsApp, Slack or email: leads, orders, collections, tickets and spend.
- Weekly management reports combining sales, finance, marketing and operations data.
- Marketing reports from Search Console, GA4, Google Ads and Meta Ads.
- Finance snapshots: receivables, payables, cash position and overdue accounts.
- Operations dashboards: orders pending, dispatch status, SLA breaches.
- Anomaly alerts: numbers that move unusually, flagged with context.
How do we do this in-house?
Our SEO bot team sends a daily Telegram report and keeps a live dashboard of tasks, changes and metrics. Our watch routines check ads, live prices and site health and alert us in chat. These are in-house systems on the owner's own businesses. We build the same pattern for clients.
What makes an AI report better than a dashboard alone?
Dashboards show numbers; people still have to notice what changed. A reporting agent writes the "so what" in plain language ("enquiries from Google Ads fell sharply yesterday; the main campaign's budget ran out at 2 pm"), links to the evidence and lists items needing a decision. The numbers come straight from the source systems. The AI explains them; it doesn't invent them.
What does a reporting agent team look like?
Collector agents per source (CRM, accounts, ads, analytics, sheets), a validation agent that checks for missing or odd data, a writer agent that drafts the summary and a team lead that delivers on schedule. Dashboards can be built in Looker Studio, a spreadsheet or a small custom web app.What is in a reporting team's stop rule?
- Alone: read data, compute metrics, write summaries, send scheduled reports and alerts.
- With approval: changes to metric definitions and adding new recipients.
- Hard stops: writing back to source systems, sharing reports outside approved recipients, and acting on anomalies (that's for people or other agents).
The agent drafts, routes and escalates. A person decides. Before anything is built we write down what the agent may do alone, what needs approval, and when it must stop and hand over with the full context attached.
How is the agent team put together?
Every team we build uses the same architecture: a team lead agent that plans and assigns work, specialist agents with narrow jobs and permissions, a shared task board where every task and approval is visible, tools and connectors limited to what each agent needs, scheduled routines for recurring checks and reports, and approval gates wherever money, customers, data or irreversible changes are involved. Every action is logged, live systems are backed up before edits, and a daily summary arrives in chat so a person always knows what happened.
It is the same pattern we use in-house for our 14-bot SEO team, ads agent and site ops agent on the owner's own businesses (in-house systems, not client results). For a new team we start small, usually a specialist, a reporter and the team lead, and add agents only once the first ones are trusted. See how we build agent teams and real in-house use cases.
What should you prepare before talking to us?
You don't need a technical brief. A useful first conversation needs only a few things, and gathering them is valuable even if you never work with us:
- The process in plain words: what triggers it, who does what, and where it usually goes wrong.
- Rough volumes: how many messages, orders, tickets or invoices per week. A one-week tally is enough.
- Your tools: WhatsApp app or API, CRM, sheets, accounting or helpdesk software, including versions or plans where you know them.
- Three real examples: typical messages or cases, plus one awkward one, with personal details removed.
- What must never happen: the mistakes that would hurt most. These become the first lines of your stop rule.
- An owner: the person who will review the workflow once it runs.
Send these on WhatsApp or by email, or run the pilot scorecard first.
How do you know whether the pilot worked?
We agree the success measure before building, and it should be something your team can count without a dashboard project. Typical measures include the share of enquiries logged the same day, time to first response, the number of follow-ups that actually happened, hours spent on the task per week, or the number of escalations that were correctly flagged. We count the baseline before launch (even by hand for a week) and again after a few weeks of running.
We also review the qualitative side with the people involved. Do they trust the drafts? Are handovers arriving with enough context? Are customers asking for a person more or less often? A pilot can hit its number and still need tuning, or miss it and teach you something important. Either way, the decision to keep, tune, expand or stop is yours, made on evidence. We don't publish generic success figures, because results depend on your process, volumes and team.
How does a pilot with us work?
Every engagement follows the same four steps. Consult: you walk us through the process, the tools and where it breaks. Pick the pilot: we choose one workflow and write down its inputs, outputs, tools, stop rule and success measure. Ship: we build it into the tools you already use and test it on real cases. Review: your team checks what the agent did and what it escalated, then decides whether to tune it, expand it or stop. Read the full pilot process.