How to create presentations and reports for leadership with AI without spending hours on slides

In short: an AI agent can gather the data, write the report and leave the leadership presentation ready as a draft. Your team keeps what matters: reviewing, deciding and explaining what the numbers mean. 4-minute read.

It's Thursday afternoon and the leadership meeting is on Monday. Someone on your team has four spreadsheets open, two CRM exports and last month's presentation to copy the format from. Four hours later, the report does the job. But almost all that time went into pulling numbers together and moving boxes around, and very little into thinking about what they mean.

If that sounds familiar, keep reading: this can be taken off your plate without losing control over what reaches leadership.

Where the time really goes

Preparing a report isn't one task, it's four mixed together: asking each area for its data, consolidating it, shaping it into a document and building the slides. Of those four, only one takes real judgement: deciding what message the meeting takes away.

According to Runn's State of Resource Management survey, resource managers spend an average of 6.5 hours a week putting reports together (Taylor-Chadwick, 2026). It's a survey from a software vendor and it doesn't say how many people responded, so take it as an order of magnitude. But anyone who has prepared a monthly close recognises the proportion: nearly a day a week that isn't spent analysing anything.

(Taylor-Chadwick, H. (2026, April 9). Resource managers lose 1 day a week to reporting. Runn. https://www.runn.io/blog/resource-managers-lose-1-day-a-week-to-reporting)

What an agent can do for you

An AI agent isn't a generator of pretty slides. It does the work that comes before the slide:

It collects data from the tools you already use (CRM, spreadsheets, project manager) whenever it's due, without anyone asking by email.
It calculates what always gets calculated: changes against last month, gaps against target, the three numbers that moved the most.
It writes a summary in plain language, with the tone and structure your company already uses.
It builds the presentation with the usual slides and the data already in place. Because the agent repeats the same process every time, October's report looks like September's. And for whoever reads it in leadership, that's already an improvement: they can compare without having to reorient themselves.

Want to see what a report like this would look like with your own data? Book a demo and we'll build it on a report you already prepare today.

An example, step by step

Illustrative example (not a real case, just to picture the process)

A 60-person company prepares the leadership report every month. Today, sales exports the CRM, finance sends its figures, operations sends project status and one person puts it all together in slides.

With an agent, on Monday at 7:00 it collects the three sources, compares with the previous month, writes a one-page summary and leaves a draft with the usual six slides. The person in charge reviews it at 9:00, fixes a couple of sentences, adds the comment only she can make and sends it.

What changes isn't the result, but when a person starts working: not with a blank sheet, but with a draft to apply judgement to.

What still needs a person

It's worth saying clearly, because that's where expectations break. The agent can misread an odd figure, doesn't know what was said in the corridor and isn't aware of the internal policy that explains why a number is down. That's why the draft always goes through someone before it goes out.

It works best when the agent prepares and the person decides. If the report goes to leadership, the last word belongs to whoever signs it.

At NappAI, AI agents for businesses connect to the tools your team already uses and are set up without code, using the report structure you define. You can start with just one, the one that takes up the most hours, and expand later.

Checklist to get started

Before setting up your first automatic report, check this:

Pick a single recurring report (the monthly one, the leadership one, the follow-up one).
Note where each piece of data comes from and who maintains it.
Define the three or four indicators that can never be missing.
Keep the last good presentation as a model for structure and tone.
Decide who reviews the draft and when.
Compare the first result with the manual report and adjust. If you do it with a single report, in a couple of cycles you'll know how many hours you get back.

Shall we try it with your real report? Book a NappAI demo and we'll see how much of yours can be automated.