Automated employee reports: forget Excel

Ask the AI for the report you need: weekly performance, monthly board pack, executive summary. PDF, Excel or slides, ready in 30 seconds. Traditional manual interface also available.

How much time do you lose building reports?

Every Monday the same routine: HR collects the data, project managers update their sheets, someone screenshots a chart for the CEO. Hours of work for numbers that go stale immediately.

Monday mornings spent assembling reports by hand
A different spreadsheet per manager, with numbers that never quite agree
Board slides put together the evening before the meeting
Data already out of date by the time it reaches the person who asked
No narrative: numbers with nobody explaining them
Project manager and HR time taken away from work that actually creates value

Ask for the report, the AI builds it

hice.ai generates performance reports as PDF, spreadsheet or slides from a brief typed in the chat. Schedule the recurring ones and they land in the inbox on their own.

«Generate the weekly delivery team performance report as PDF» → ready in 30 seconds
«Monthly board pack on utilization, billable share and margin» → slides and PDF, narrative included
«Send a summary to my five managers every Friday» → the AI schedules and delivers it
«Compare Q3 with Q2 for the sales team, highlight the top three and bottom three» → report ready

Try it in chat

Examples you can ask:

Static demo of hice's AI chat.

What you get

On-demand reports in the chat

Describe the report and the AI builds it: PDF, spreadsheet, PowerPoint or Google Slides.

Scheduled recurring reports

Weekly, monthly, quarterly: schedule once and receive them automatically.

AI narrative

Not just numbers: the AI writes the executive commentary and calls out trends and anomalies.

Board pack ready to present

Slides with KPIs, charts and an executive summary in your own brand.

Multi-level views

Reports for the CEO, HR, project managers and team leads: same data, different lens.

Conversational drill-down

Get the report, then ask in the chat «why is Marco below target?» and get the answer immediately.

Multi-format export

PDF, Excel, CSV, JSON, Google Sheets, slides. No extra tooling required.

Custom branding

Your logo, colours and fonts applied automatically.

Automatic distribution

Email, PDF or shareable link: the report reaches the right people where they work.

Automatic historical comparison

Trend against last month, last year or benchmark, with nothing to configure.

Row-level security

Every recipient sees only the data they are entitled to. Granular permissions throughout.

Traditional manual interface

Prefer a drag-and-drop visual builder? It runs alongside the AI chat.

Deciding what a report is for before automating it

Automating a report that nobody acts on produces the same inaction, faster. Before building anything it is worth writing one sentence per report: who reads it, what decision it supports, and what they would do differently if the number moved.

Reports that survive that sentence are usually a small minority, and that is the useful finding. Most recurring reports exist because someone once asked for them, and the person who asked has moved on. Retiring them frees the attention that the remaining ones need.

One sentence: reader, decision, action if the number moves
Reports without an owner retired, not automated
Frequency matched to how fast the number can change
Distribution list reviewed when people change roles

The difference between a report and an alert

A recurring report answers a question on a schedule. An alert answers it when the answer changes. Most of what firms send weekly should be an alert, and most of what they send as alerts should be a report — the inversion is where notification fatigue comes from.

The rule that works: if the recipient will act only when a threshold is crossed, send an alert with the threshold in it. If they need context and trend to make a judgement, send a report on a rhythm. Sending both for the same number guarantees neither is read.

Thresholds set with the person who will act on them
Alerts carry the number, the threshold and the next step
No alert for a value the recipient cannot influence
Periodic review of which alerts get ignored

Keeping the numbers trustworthy over time

An automated report loses credibility the first time someone finds a figure they cannot reconcile, and it never fully regains it. The causes are mundane: a definition changed without announcement, a data source that stopped updating, a filter that silently excludes a team.

Two habits prevent almost all of it. Every report states its definitions and the date its data was last refreshed, and every definition change is announced before it appears. It costs a line of text and it is the difference between a number people act on and a number they check by hand first.

Definitions stated on the report itself
Last data refresh timestamp always visible
Definition changes announced before they take effect
Alert when a source stops updating, instead of silent staleness

HR consulting firm, 40 people

An HR consulting firm lost two days a month producing client reports. With hice.ai the AI generates a personalised, branded monthly report for every client automatically. Time spent: down 95%. Clients are happier because they receive insight rather than raw numbers.

hice.ai vs Power BI, spreadsheets and Looker

Feature	hice.ai	Traditional BI
Building a report	Conversational	Drag-and-drop, over weeks
Narrative	The AI writes the commentary	Manual
Automatic distribution	Yes, schedulable	Usually manual
Drill-down	AI chat	Clicking through charts
Native local languages	Italian, English, Spanish, French	Usually English only
Cost per user	Transparent	Expensive licences
Time to go live	Days	Months