Scheduled report agent
The report leaves at nine, whether anyone remembered.
How it works
- Daily, weekly or monthly, on your calendar
- Same format every time, so it can be compared
- Mails itself to the people who need it
AI MIS reporting. Get answers from your business data.
Turn data from your existing systems into scheduled reports with calculated figures and clear explanations, ready for your team to review.
Somebody rebuilds it by hand, every month.
The same export, the same spreadsheet, the same three hours
Numbers already out of date by the time the deck is sent
Sales and finance arriving with two different figures
So the meeting argues about whose number is right instead of what it means.
Six agents, one role
Consolidation agent
One number, drawn from every system that holds it.
How it works
- Accounting, CRM and your product database together
- Reconciles the identifiers that never quite matched
- Shows the working, so a figure can be checked
Write-back agent
The CRM stops disagreeing with the books.
How it works
- Computed figures written into the system of record
- Only the fields you name, never anything else
- Every write logged and reversible
Exception agent
Four lines that broke the rule, not forty pages.
How it works
- Reports what is outside the threshold you set
- Silence when nothing is wrong is the feature
- Escalates when the same exception repeats
Proof-of-work agent
You learn the job did nothing, not that it finished.
How it works
- Reports what each job produced, not that it ran
- Catches the run that succeeds while doing nothing
- A backup of an empty folder still exits zero
Narrative digest
The board pack, written in sentences.
How it works
- What moved, by how much, and against what
- The figures stay computed; only the prose is written
- One page, with the detail linked beneath
Ready to see it in action?
Name the report you rebuild every month — we’ll show it arriving on its own.
Or call +91 95525 86428
Before and after
Today
Building it
Three hours, by hand
Two systems
Two different numbers
Volume
Forty pages, unread
Job monitoring
It exited zero
With the agent
Building it
Automatic, on schedule
Two systems
One, written back
Volume
The exceptions only
Job monitoring
It produced this
Who does which step
- 1AI agent
Pull
From every system that holds a piece.
- 2AI agent
Reconcile
Match the records, compute the figures.
- 3AI agent
Flag
Only what breaks your thresholds.
- 4AI agent
Write back
Into the fields you named, logged.
- 5Your team
Review
A person reads it and decides.
Where it stops Read-only against your systems by default. Write-back happens only into fields you have named, every write is logged, and every write is reversible.
It writes the number back
Write-back Most reporting reads and stops. The last step here returns the computed figure to the system of record, so the number a salesperson sees in the CRM is the number finance has in the books. That single loop removes most of what an MIS meeting spends its time arguing about.
The scale behind these agents
120+
AI agents and automations running in our own production
- 100%
- Platform uptime
- 2
- Cloud regions, monitored 24×7
- 500+
- Customers worldwide
Before you commit
Does it need write access to our databases?
Not to report. It reads. Write-back is a separate permission you grant per field, so an agent that fills in one custom field on a customer record cannot touch anything else. Every write is logged and reversible.
We already have Power BI. What is different?
A dashboard waits for someone to open it. This arrives, says what changed in sentences, flags only the exceptions, and puts the computed figure back into the system where people actually work. If your dashboards are being read every morning, you may not need this.
Does an AI model produce the numbers?
No, and this matters. The figures are computed deterministically from your data — the same inputs always give the same output, and the working can be checked. A model writes the sentences around them. Nothing numeric is generated.
What happens when two systems disagree?
It says so rather than picking one. The report shows both figures, names the records causing the gap, and withholds the consolidated number until the discrepancy is resolved. Silently choosing a winner is how a reporting layer loses everyone’s trust.
Who receives the reports, and can they be changed?
You set the recipients, the schedule and the thresholds, and you can change any of them without us. New reports are a request rather than a project.
What if a source system is down when it runs?
It reports the gap instead of the number. A report that quietly excludes a system that was offline is worse than no report, because nobody knows to distrust it.
Where to go next
Engineering
AI employee for code review
Every merge and database change reviewed, each defect chased to closure.
IT operationsAgents that prove the job ran
Checks what your scheduled jobs produced, not just that the server is up.
Start hereAgent Readiness Sprint
Two weeks, one working agent, and a costed plan for the rest.
Free presentation · 13 slides · PDF
Take the deck to your leadership team
The presentation we walk boards and CXOs through — thirteen slides on what deploying AI agents actually involves, from the roles to the guardrails to the commercials.
- 22 AI employee roles across 9 departments
- Eight department packs, and the agents inside them
- One day from first conversation to one agent live
- Three commercial models, and what each includes
Download the deck
No cost. Work email and organisation only.
Pick the report you hate building.
One report, your systems, arriving on schedule. That is a small enough first step to say yes to.
Book an Agent Readiness Sprint
Or call +91 95525 86428