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Custom B2B customer onboarding software

Short answer

A custom tool for B2B customer onboarding shows both sides the rollout tasks, the dependencies and who is waiting on whom, for example the team waiting for data access from the client's IT. It makes sense when this flow cannot be run comfortably in your current project system with guest access.

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 application, fixed price before contract
from €3,000
from signing the contract to acceptance
4–10 weeks
free prototype on your documents
€0

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

Author: Syntalith · 5 min read

Example: the morning request inbox
Agent · ready

Statistics

B2B customer service: statistics 2026

2.5 mo.

payback of €3,000 at 300 rollout status questions a month: €1,745 of work today, €527 with checking and the model. Scenario.

Figures checked: 22 October 2026

Customer onboarding in a shared view
  1. 01Taskwhat needs doing and who does it
  2. 02Dependencywho the task is waiting on
  3. 03Clientsees their own tasks and contacts
  4. 04Change of contacttasks move to the new person
  5. 05Startall conditions met and visible

The user list has arrived. The import has to wait

Say a client is starting to use a data reporting service. They have sent the list of people who will use it. Access to the data source, though, is still waiting for someone in their IT department. The onboarding team has the user list, and cannot yet try the import.

The client should be able to see that their file arrived, and find the open request for access to the source. Next to that request they need to know who should handle it and why it is needed. The person leading the rollout on the client's side can then go to their own IT without another email to the supplier asking about progress.

The onboarding team needs to see, next to the import attempt, that it is waiting for access from the client's IT. That is a dependency between tasks: finishing one lets the other start. When the IT person replies, the onboarding specialist checks the access and can try the import. The coordinator finds the answer on the same matter, without chasing both sides.

Such a view does not need an elaborate panel. For each step, a clear description, the person responsible and what we are waiting for may be enough. The biggest change is in the coordinator's work: instead of rebuilding the status from correspondence, they go back to the same matter the client sees.

Your current tool may be enough for B2B customer onboarding

Dependencies between tasks are available in ready project software. Asana describes marking tasks as blocking another task or waiting on it. When all blocking tasks are complete, the person assigned to the next task gets a notification. Whether the feature is available depends on the plan (Asana's documentation on dependencies).

Before you buy an app, walk through the example above in the system you use. Will the client see that the list arrived and the access matter is still open? Will the onboarding specialist find the reason for waiting next to the import? If so, the work may mainly be tidying the tasks and agreeing who confirms they are done. Having a dependency feature will not create that order if the team records all preparation as one task called “materials from the client”.

Also look at the project from the client's account. Asana lets you work with guests, who see the content shared with them. Sharing a single task gives access to that task, while sharing a project covers all of its tasks (guest permissions in Asana). If the team also writes internal notes there, the way of working has to match what the client should actually see. Look at this view from a guest account.

When the contact on the client's side changes

Go back to the access request. If the IT person passes the matter to a colleague, the new contact needs to see what was requested and what has already been agreed. The coordinator should be able to hand them the open task with its conversation, keeping the earlier answers. The team is still waiting for access to the same data source; a change of person should not force the matter to start from scratch.

Agree with the client whom to hand the task to and whether the previous contact is still part of the rollout. If they are leaving the company, their access has to be removed. The work history should stay with the rollout, so their successor can carry on. Allow for this ordinary situation when choosing a tool, especially when today the whole conversation lands in one mailbox.

We describe work on a shared status and unanswered questions in the offer for AI tools for team collaboration. Involving the client also requires deciding which tasks and conversations may be shared with them. Searching documents alone will not handle the dependency between data access and starting the import.

An extension or a separate app

If the team works well in its project system and the client gets lost in its interface, you can consider a narrow view for the client. It would show their open requests and let them reply on the right task. Internal planning could stay in the current tool. Before choosing such an extension, check whether the available connection will carry replies and task changes across. If the coordinator retypes them by hand, part of today's work remains.

A separate app becomes a sensible candidate when launching the service means combining the client's actions with information from several systems, and current tools do not handle it well. The scope can be limited to the time from the start of onboarding to the service being ready. Sales and later ticket handling can keep running in the products you use. We describe the wider decision on a customer portal connected to the CRM separately.

When comparing offers, also count the work after the tool goes live. Someone on your side will update the onboarding flow when the service changes. The app's supplier needs an agreed scope of support for the connections to other systems and a way of handling errors. Helping clients with access remains part of the service too. These duties affect the cost of your own tool, so they belong in the comparison with a ready product.

When moving to a new tool, onboarding in progress needs the most attention. Open requests should keep the clients' replies and the dependencies, so the team knows where to carry on. Also agree on exporting the history later, access to the code and handing upkeep to another supplier.

A conversation about an onboarding that got stuck

Syntalith builds custom apps. A possible first scope is a view of open requests to the client, linked to the tasks waiting for their reply. On such an example you can judge whether configuring the current product is enough, or whether a simpler interface and an extra connection are needed.

For the first call, it is enough to describe the last onboarding where the client thought they had sent everything and the team was still waiting. Tell us what was missing and where the coordinator recorded the later arrangements. A custom app or automation at Syntalith costs from €3,000 net (pricing).

What a customer onboarding tool costs and when it pays back

Scenario: 300 rollout status questions a month
Today
300 rollout status questions × 10 min = 50 h × €34.90 = €1,745
With the system, a person checks the output in 30% of the time
€524
Model, 1 call per case, Claude Sonnet 5.5
€3
Cost of one case
€5.82 today, €1.76 with the system
Saving
€1,218 a month

Payback of €3,000

2.5 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: 3,000 input tokens and 300 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro.

What we measure in the trial
  • Time from receiving a case to the result, before and after the change
  • Cases the app passed to a person
  • Corrections by the person checking
  • Model and maintenance cost at the target volume

Where to start

In the free process review we choose one process and count the team's volume and working time, and within 2 working days you get a written summary with a price. We build as part of AI apps, and we price maintenance separately.

Worked example · Scenario

How we count the payback: customer onboarding

We run the same count for your team 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 ↗

When an off-the-shelf tool does not fit, we build your own.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 →

Custom AI apps

When an off-the-shelf tool does not fit, we build your own.

We build an application with a language model for the work of your team: searching the company's knowledge, case panel or portal. We check the validity of your documents before launch, and the code stays with you.

See AI applications →
net per application, fixed price before contract
from €3,000
from signing the contract to acceptance
4–10 weeks
free prototype on your documents
€0

Questions

  • Why use a tool for B2B customer onboarding?

    So that the client and the team see the same tasks, dependencies and the person the matter is waiting on. The coordinator does not rebuild the status in yet another email.

  • Is a project system with guest access enough?

    Often, yes, if it handles task dependencies and guest accounts. Your own tool makes sense when the client needs a view the system cannot give without workarounds.

  • How much does it cost?

    At Syntalith apps, automations and AI agents start from €3,000 net. At 300 rollout status questions a month of 10 minutes each, the payback is 2.5 months.

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.