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ChatGPT for business Excel analysis: from file to report

Short answer

ChatGPT helps join exports from your systems, find mismatches and prepare a report in a spreadsheet. Start with one report, for example weekly sales by branch. Check the totals before and after joining the tables, and that the formulas recalculate after the data changes. At 8 reports a month cut from 3 hours to 1, €491 a month is left after licences for 3 people.

net per day of closed training for the team
from €1,150
people in one training group
up to 15
after this time, we measure the effect on the same tasks
30 days

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Author: Syntalith · 3 min read

Example: the morning request inbox
Agent · ready

Statistics

ChatGPT and working with data: statistics 2026

€491

a month is left at 8 reports cut from 3 hours to 1, after ChatGPT Business licences for 3 people. Scenario.

Figures checked: 22 October 2026

What to prepare before the first analysis

The report has to keep the definitions of the measures and let you trace the data behind the numbers. This guide is about working with files in ChatGPT. An add-in that runs inside Excel is a separate product, described in the article how to add AI to Excel at work.

Before the first report
  • A transaction export and a dictionary of products or branches
  • The definition of sales: orders, invoices or payments received
  • Rules for returns, the date range and the currency
  • Only the columns you need, with no customer contact data
  • The company's consent to use this data in the chosen tool

ChatGPT analyses CSV files and Excel workbooks and creates reports for review, as OpenAI describes in its data analysis guide. Check support for macros and external connections separately.

First check how the tables join

The export has 1,000 lines, and the product dictionary has two rows with the same ID. A join on that ID will duplicate transactions and inflate sales. A chart will not show the cause.

CheckWhat it reveals
A unique ID in the dictionaryThe risk of duplicated transactions
The number and value of unmatched itemsData left out of the summary
The total before and after the transformationsUnexplained changes in values
Period, currency and returnsDifferent definitions of the result

Do not ask for duplicates to be removed without defining what a unique record is. Two rows of one invoice may be two items that have to stay. The rules for joining are described in OpenAI's guide to consolidating spreadsheets, and the same problem in purchasing on the Excel in procurement page.

Instructions for the first report

The order of work in ChatGPT
  1. 01Columns and IDsList the columns and check the IDs used for joining.
  2. 02ChecksShow duplicates, missing matches and control totals.
  3. 03DefinitionsUse the sales definition from the attached instructions. Where something is missing, state the question for a decision.
  4. 04ResultA separate sheet with the result, a tab of exceptions and a note on refreshing. The source files unchanged.
  5. 05CheckOpen the result in the team's tool and compare chosen rows with the source.

Did the formulas recalculate the new data

The plan is €100,000, and actual sales change from €112,000 to €118,000. The overrun should rise from €12,000 to €18,000. If the report still shows €12,000, the comment explains an outdated number.

Microsoft describes automatic and manual calculation modes. In manual mode the calculation has to be triggered: F9 recalculates changed formulas in all open workbooks, and Shift+F9 in the active sheet. The acceptance test covers changing a known value, recalculating and reading the number that goes into the report.

What ChatGPT for Excel gives: cost and the value of time

Scenario: 8 reports a month, 3 people
Today
8 reports × 3 h = 24 h
With ChatGPT, checking included
8 × 1 h = 8 h
Time given back
16 h × €34.90 = €558
ChatGPT Business licences, 3 people, monthly billing
$75 (€67)

Left after licences

€491 a month

The number of reports and the times are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Converted at the ECB rate of 1.1205 USD per euro on 22 October 2026. At this result a €1,150 rollout pays back in 2.3 months.

A report prepared by hand in ChatGPT will not refresh itself next week. When it should be produced automatically as a file appears, you need Excel automation from €3,000 net, with a schedule, error handling and retries.

Check next week before you call the work finished

Use an export that did not exist when the instructions were written. Add a new product and a missing branch code. The report should name the decision to take, without dropping the row and without inventing a category. Also settle who updates the dictionary and the definitions.

At Syntalith a rollout for a team of up to 10 people costs from €1,150 net: accounts, rules for working with data and training on the team's spreadsheets. The full budget is in the article how much a ChatGPT rollout costs.

Worked example · Scenario

How we count the payback: Excel reports

We run the same count for your team's reports in the free analysis: how many there are, how long they take and what an hour of work costs.

€1,815

a month for 12 h a week of report preparation

Payback: 1.9 mo.

The hours for each firm size and checking in 15% of the old time are our assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. We measured the model cost in our report system: a commentary with a check of the figures costs about €0.0002, converted at the NBP rate of 21 October 2026 and the ECB rate of 1.1205 USD per euro on 22 October 2026.

See the full calculation →

This is how we implement it in companies

All case studies →

Client results.

All projects →
foap.comcustomer service

foap.com customer service: 95% of replies are sent automatically.

Users from several countries write to foap.com, in several languages. The system reads the entire conversation and the terms of that person, and then sends a response in that person's language. Questions about money and exceptions go to the team with a ready draft, so they have to check and send them.

the system sends the answers itself, without human typing
95%
time from the arrival of the e-mail to the ready response (median)
30 s
e-mails that require a response receive a ready-made draft
100%
less work for every 1000 answers (estimate)
47 h

Data from foap.com production, October 20-21, 2026. Estimate: 3 minutes for handwritten response.

How foap.com customer service works →
Sample messages. Money matters always come to the person.

Other implementations

jaktako.design

studio projektowe

−87%

Time to look for new customers, every day

4 hours → 30 min

approx. 73 hours less per month (21 days of work)

according to the studio

How the agent loop works →
Signature Estates

real estate

approx. −90%

Operator time spent browsing portals, per day

2–3 hours → 20 min

approx. 45 hours less per month (21 days of work)

respect · contact the seller 5 minutes after the announcement

How the agent finds property listings →
Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.Care

Kuba Koziej

CEO and co-founder, MoreGrowth

„We started with my own AI agent. During the training that followed, I learned to build new applications myself. Today I am bringing this way of working with AI into my business. Working with Syntalith gave me exactly the skills and tools I needed.”

View the original training review on LinkedIn ↗

Practice this on your team’s own tasks.Book a free process review (30 min) →

„I already use AI.”

Your people too. Just no rules.

From our conversations with companies

5 na 10 employees paste sensitive data into private AI accounts: contracts, invoices, customer data.

In ESET survey (2026)

1 na 10 admits this in the survey.

Customer data pasted into a private AI account without an data processing agreement is a violation of the GDPR.

Don't worry, we won't tell anyone :)

What do we see in companies that "already use"

  • Only ChatGPT or Claude accounts, without plugins, skills, integrations and MCP servers with company tools.
  • Company programs are not connected to AI. People still click through systems and Excel, and enter chat data manually.
  • Lack of company standards: everyone writes instructions in their own way, no one shares what works.
  • No rules for personal data, GDPR and company secrets.
  • No limits and no visibility: no one knows who uses AI, how much and for what.

62% Polish employees use AI at work · 27% companies have written rules for working with AI.

Source: ESET and DAGMA, Cyberportrait of Polish business 2026 (March 2026, 1,026 people) ↗

ChatGPT or Claude space review

Accounts, permissions, rules for working with data and 5 tasks set for the team. 1 day.

€450 net

ChatGPT rollout →Claude rollout →

Company accounts, rules of working with data and team training in 2 weeks, from €1,150 net.View implementation for the team →

„Is my data safe?”

Yes. You choose where they go: from your company account to the model on your server.

  1. 00Employee's private account

    Customer and company data ends up in an account that the company cannot see or control. There is no data processing agreement, so it is a violation of the GDPR. When an employee leaves, the chat history goes with them.

  2. 01ChatGPT or Claude corporate account

    The provider does not use your data to train models. A copy of the queries remains in his logs for up to 30 days.

  3. 02API with zero retention (ZDR)

    The provider processes the request and does not save anything. It requires his consent, we prepare the application together.

  4. 03Processing in the EU

    Queries are counted and stored in Europe: OpenAI in the EU region, Claude via clouds with the EU region.

  5. 04Model at your place

    The open model runs on your server or in your cloud in the EU. The data does not go outside the company.

What we do with every implementation

  • Confidentiality agreement and data processing agreement before we receive any data.
  • You choose the cases for the prototype and we anonymize them upon request.
  • The data stays in the EU and we delete it after the test.
  • Corporate accounts with an administrator on your side.

When data cannot leave the company

The open model runs on your server or in your cloud in the EU. To choose from:

White-tailed eagle
Polish model, SpeakLeash and ACK Cyfronet AGH
PLLUM
Polish model, HIVE consortium commissioned by the Ministry of Digitization
Qwen
Alibaba
GLM
Zhipu AI
DeepSeek
DeepSeek

We select a model for the task and check it on your cases. We run it, tune it and maintain it.

Source: Bielik and PLLuM, ACK Cyfronet AGH ↗ · PLLuM, Ministry of Digitization ↗

Do you have a lot of your own data? We will fine-tune the small model.

  1. 1 Your examples
  2. 2 tuning
  3. 3 test on new cases
  4. 4 model at your place

When you have thousands of similar emails, documents or reports, we teach a small open model based on your examples. It works for you, responds quickly and costs less to maintain than a large model. We measure quality on issues that the model has not seen while learning.

Przemysław and Piotr did it in large programming and consulting companies. Artem did it before and does it today at Syntalith. It's about models on your own infrastructure, tuning and quality measurement.

You choose the protection level during the interview. We sign the data processing agreement before we see any data.Schedule a free analysis →

AI training for teams

Practice this on your team’s own tasks.

Closed training is conducted by engineers who implement AI systems themselves. We arrange the program according to the participants' roles and tools, and we measure the time of the same tasks before the training and after 30 days.

See AI training →
net per day of closed training for the team
from €1,150
people in one training group
up to 15
after this time, we measure the effect on the same tasks
30 days

Questions

  • Does ChatGPT analyse Excel files?

    Yes. ChatGPT on business plans analyses attached CSV files and Excel workbooks and creates reports for review. Working with the file does not mean it supports every macro, external connection or calculation mode, so you check those separately.

  • How do I check a report prepared by ChatGPT?

    Compare the row count and the totals before and after joining the tables, and check unmatched items and duplicate IDs. Change a known input value and make sure the dependent result recalculated.

  • How much does ChatGPT for Excel analysis cost?

    ChatGPT Business costs $20 per person a month with annual billing and $25 with monthly billing. At Syntalith a rollout for a team of up to 10 people costs from €1,150 net. Refreshing a report automatically is an automation from €3,000 net.

  • Will a report from ChatGPT refresh itself next week?

    No. A report prepared by hand has to be prepared again. If the report should be produced on its own when a file appears, you need an automation with a schedule, error handling and retries.

Let's talk

Just write, call or choose a date.

We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.

We will accept 3 more companies by the end of the year.

Mon–Fri 9:00–17:00 CET

What our OpenAI and Anthropic partnerships mean for you.

OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.

OpenAI Select PartnerClaude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
When we roll out ChatGPT, Claude or Copilot, you buy the licences directly from OpenAI, Anthropic or Microsoft and they invoice you. We add nothing to the licence.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.

Participation in programs does not mean that OpenAI or Anthropic endorses our services.