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ChatGPT for sales teams: implementing proposal preparation

Short answer

ChatGPT helps a salesperson get from a customer's enquiry to a draft quote: it sorts the requirements, picks service descriptions and points out the information needed for pricing. The condition is one source of prices and one person who approves discounts. At 120 quotes a month, cutting the work from 45 to 30 minutes gives 30 hours. A rollout for a team of up to 10 people costs from €1,150 net and pays back in 1.3 months.

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

AI in sales: statistics 2026

30 h

a month is what the team gets back at 120 quotes, when preparation drops from 45 to 30 minutes. A €1,150 rollout pays back in 1.3 months. Scenario.

Figures checked: 22 October 2026

What the salesperson should get after the enquiry is analysed

A company sells installation and servicing of equipment. The enquiry gives the number of workstations, but not the conditions for access to the site, and in an earlier message the customer mentioned night work. This information changes the scope and the cost.

From an enquiry to a draft quote
  1. 01RequirementsA list of requirements with a reference to the message they come from.
  2. 02ItemsProposed items from the approved description of services.
  3. 03PricesPrices only from the current price list, a mismatched discount flagged for a decision.
  4. 04QuestionsMissing information, for example site access and night work.
  5. 05ApprovalThe manager checks scope, quantities, currency, validity and payment terms.

The installation date and the night work surcharge stay to be confirmed by an authorised person. With a fixed list of fields the review has a clear purpose, and the salesperson knows what to prepare before handing over the draft. An amount from another company's outdated quote must not appear in the quote.

What to build the first version from

You need an approved description of services, the current pricing rules, a quote template and a few past enquiries you are allowed to use. Add difficult cases: two conflicting dates, missing technical parameters, a discount that needs approval and a change of scope in a later message.

At the start, work on chosen attachments, with no CRM connection. Such a trial shows whether the draft is useful before you pay for an integration. Also time the preparation of data for the trial, because with more quotes that step alone can become a significant cost.

ChatGPT Work prepares documents from files and approved connections, and whether a connection is available depends on the plan and settings (OpenAI feature overview). Write down the order of priority of sources: the price list sets the prices, the conversation history describes the customer's need.

What ChatGPT for sales costs and when it pays back

Scenario: 6 salespeople, 120 quotes a month
Saving
120 quotes × (45 − 30) min = 30 h
Value of that time
€1,047
Licences
6 × $25 = $150 (€134)
Left after licences
€913 a month

Payback of a €1,150 rollout

1.3 months

The times before and after are the scenario's assumptions, which we measure before the training and after 30 days. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. The ChatGPT Business Standard rate with monthly billing from OpenAI's price list, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.

Measure the time from gathering the data to an accepted quote, and keep the salesperson's work apart from the technical specialist's. Shorter writing can hide longer correction of the scope by a second person.

How to check the effect on sales

Compare similar quotes: the same type of service, a similar number of items and a similar number of questions to the customer. Record the quotes a salesperson started with the tool and finished by hand, because their time also belongs to the result. Measure conversion separately, with the type and value of opportunities, and do not credit the whole change in sales to the tool after a few weeks. According to Eurostat (2025), 34.7% of EU enterprises that use AI use it for marketing or sales. A team with a measurable quoting process gains its edge already when it answers the enquiry.

When to connect the CRM

A standing connection makes sense when fetching context and retyping the result take a large part of the work. With a user's connection, their access applies, while a shared agent account may expose a wider range of data. OpenAI describes this difference in the ChatGPT Work access rules.

The first scope with the CRM
  • Approving and sending the quote stay with the salesperson
  • Writing to the CRM checked in a test environment
  • Retrying a task and a broken connection tested
  • The integration account's permissions limited to the fields needed

If the ready connections do not cover the fields you need, the scope needs your own integration through the API. The ChatGPT rollout at Syntalith covers the Business workspace, rules for working with data, training on the team's quotes and a measurement after 30 days. Add to the count the manager's time for approving materials and updating the price list; the full rollout budget keeps these costs apart from the licences. For the call, prepare an anonymised enquiry, a quote template and a description of your CRM.

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

  • How do I roll out ChatGPT in a sales team?

    Start with one task, for example a draft quote from an enquiry. Prepare an approved description of services, the current pricing rules, a quote template and difficult cases. Agree the fields the manager always checks: scope, quantities, currency, validity and payment terms.

  • How much does ChatGPT for salespeople cost?

    Six Business Standard seats cost $150 a month with monthly billing. At Syntalith a rollout for a team of up to 10 people costs from €1,150 net, with training on the team's quotes and a measurement after 30 days. A connection to the CRM is priced separately.

  • When should we connect the CRM?

    When fetching context and retyping the result take a significant part of the work. Settle whether ChatGPT only reads notes, proposes a stage change or saves a document. A shared integration account may expose a wider range of data than a salesperson's account.

  • Will ChatGPT increase sales?

    Whether a quote is accepted also depends on the price, the fit and the sales work. Measure conversion separately, with the type and value of opportunities. The tool shortens quote preparation, which you check by timing it.

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.