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AI Agent for BANT Qualification: A Controlled First Touch

Short answer

An AI agent for lead qualification collects BANT information from the form, emails and the company website: budget, authority, need and timing. It asks about the gaps and saves the result in the CRM with the source of each answer. The salesperson gets the lead with a note and decides on the call. At Syntalith the agent costs from €3,000 net, and with 400 leads a month at 12 minutes each it pays back in 1.4 months.

How we workDetails ↓

  1. 01Call30 minutes with an engineer, free
  2. 02PrototypeA working system on your process and data, free
  3. 03ImplementationTarget and fixed price in the contract; 50% at signing
  4. 04Acceptance50% once the agreed target is met
net per agent for one process, build paid once
from €3,000
from signing the contract to acceptance
6–16 weeks
free prototype on your cases
€0

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

B2B sales and AI: statistics 2026

1.4 mo.

payback of a €3,000 agent at 400 leads a month: €2,792 of work today, €717 with checking and the model. Scenario.

Figures checked: 22 October 2026

How BANT lead qualification works in practice

A B2B company receives 400 enquiries a month from its form, email and trade fairs. A salesperson calls each one to find out whether there is a budget, who decides, what the company needs and by when. Half of the calls end with the finding that this is no client for now. HubSpot describes BANT as four questions: budget, authority, need and timeline.

The agent reads the enquiry, checks the company website and its registry data, and asks the missing questions in an email reply. It saves each answer in the CRM with its source: whether the client gave the budget or it is an estimate from the size of the company. Leads with a full set go to a salesperson with a note, unclear ones go to further contact, and those outside the target profile get a polite reply for approval.

BANT elementWhere the agent gets the informationWhat the salesperson sees
Budgetthe client's answer or a range from the forman amount with its source, or „missing”
Authorityemail signature, company website, the answerthe person and their role
Needthe text of the enquirythe problem in the client's words
Timingthe answer to the question about timinga date, or „not set”
Limits of the automation
  • The agent does not promise prices, dates or discounts
  • A salesperson approves messages to leads outside the profile
  • Marketing consents are checked before every contact
  • An estimate is marked as an estimate and kept apart from the client's answers

What AI lead qualification costs and when it pays back

Scenario: 400 leads a month
Today
400 leads × 12 min = 80 h (€2,792)
With the system, a person checks the output in 25% of the time
€698
Model, 3 calls per case, Claude Sonnet 5.5
€19
Cost of one case
€6.98 today, €1.79 with the system
Saving
€2,075 a month

Payback of €3,000

1.4 months

The volume, the time and the checking share are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Model: 6,000 input tokens and 600 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.

The count covers the work around each case: searching, reading, writing and handing over. What remains is the time to check the result, 25% of today's work in the scenario. Before the quote we measure both times on 20 to 100 cases the team has already handled, in a free test that takes 5 working days.

When to improve manual handling first

With a few dozen leads a month, a better form with questions about budget and timing gives more than an agent. When salespeople do not enter call results in the CRM, an agent will not fix the team's habit. An agent makes sense when there are hundreds of leads, they arrive through several channels, and salespeople lose time on calls that end after a minute.

What to choose at which volume
  • A few dozen leads a month

    a better form with BANT questions

    no build

  • Hundreds of leads from several channels

    an agent that qualifies leads into the CRM

    from €3,000

Where to start

The first scope covers one channel, for example the form, and compares the agent's qualification with the salespeople's decisions on last month's leads. We build this kind of system as part of our AI agents. For the free process review, a description of one case from the last few weeks and the tools it went through is enough. You do not need to send confidential documents, and you receive a written plan within 2 working days.

Worked example · Scenario

How we count the payback: CRM in B2B sales

We run the same count for your leads in the free process review.

€698

a month for entering 300 CRM updates by hand

Payback: 5.1 mo.

4 minutes per CRM update 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. Model cost: Claude Sonnet 5.5, about 3,000 + 500 tokens per update, at the ECB rate of 1.1205 USD per euro on 22 October 2026. The extra margin is a scenario: we assume that 1 in 400 updates that get lost today ends in an order, with a margin of €459. In the review we count it on your sales process.

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 ↗

See the agent on your own cases before you commit.Book a free process review (30 min) →

How we build automation and agents

From a conversation to a working system in four steps.

  1. 01 · 30 min

    Free process review

    €0

    You're talking to an engineer. You receive the written plan within 2 business days.

  2. 02 · 5 days

    Free prototype

    €0

    The system works on 20-100 cases that your team has already handled. You see every result.

  3. 03 · 2–16 weeks

    Build

    50%

    Fixed price and goal written in the contract. First installment upon signing.

  4. 04 · after reaching the goal

    Reception

    50%

    You pay the second installment when the system reaches its target on your cases.

How a free prototype is created

Mon.

We set a goal

What result do you consider good?

Tue–Wed

The system is working

It goes through your affairs, one by one.

Thu

We compare

We check every difference with the team's work.

Fri

Result and price

List of errors and fixed implementation price.

You choose the matters. We anonymize them upon request, they stay in the EU and we delete them after the test.

On the market, such a test usually costs from PLN 3,000 to PLN 8,000.

Book a free process review (30 min)

We establish a prototype during a free analysis.

Data checked on October 25, 2026.

„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 agents

See the agent on your own cases before you commit.

The agent takes the case through the next steps in your systems, and the actions take effect until the consent of the indicated person is obtained. A prototype for 20-100 cases that your team has already handled costs €0. We write down the purpose and test set in the contract.

See AI agents →
net per agent for one process, build paid once
from €3,000
from signing the contract to acceptance
6–16 weeks
free prototype on your cases
€0

Questions

  • How does an AI agent qualify leads with BANT?

    It collects information about budget, authority, need and timing from the form, emails and the company website, asks about the gaps and saves the result in the CRM with the source of each answer.

  • Does the agent talk to the client on the salesperson's behalf?

    The agent asks qualifying questions by email from an approved template. It does not promise prices or dates, and a salesperson approves messages to leads outside the target profile.

  • How much does such an agent cost?

    At Syntalith from €3,000 net. With 400 leads a month at 12 minutes each, the payback is 1.4 months. We agree integrations and maintenance before the quote, and the model costs €19 a month.

  • What about the GDPR in lead qualification?

    The agent processes the data needed to answer the enquiry and checks marketing consents before the next contact. We agree the scope of data and the retention period before the start.

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.