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AI ERP/CRM integrations

AI in your ERP and CRM, without replacing the system

We add AI to the ERP and CRM you already run. We do not replace Comarch, Symfonia or your CRM with a new system from scratch. We classify data, complete records, generate reports and trigger workflows through APIs, webhooks or middleware. If you need a system written from scratch, see custom CRM and ERP. If you need a shop in front of the ERP, see online shop with couriers and payments.

There is no fixed integration fee. The quote depends on the ERP, the API and whether AI is allowed to write back.

Pricing

What it costs

A single integration with the ERP or CRM you already have costs 10-30k PLN. Wiring AI into several systems and orchestrating the flow between ERP, CRM, the shop and email costs 30-90k PLN.

One integration10-30k PLN

One scenario to start: mail or a document comes in, the model reads the intent, pulls context from CRM and leaves a record for approval. We start from an inventory of APIs, webhooks or an export. We do not write a new ERP from scratch.

Several systems, orchestration30-90k PLN

Flow between ERP, CRM, the shop and email: classification, sync, reports, alerts and error control. After the first scenario we add another document type or queue. A write that moves a price, an invoice or a customer limit stays with the operator.

One integration and multi-system orchestration - scope, time and cost
ScopeDeployment costDeployment timeWhat it includes
One integration10-30k PLNOne scenario after an API inventoryMail or a document, classification, CRM context, a record for approval
Several systems, orchestration30-90k PLNQuote after a free call about the source systemsFlow between ERP, CRM, the shop and email, reports, alerts, error control

Quote after a free call about the source systems and the write-back scope. Prices current as of August 2026.

Who it is for

AI in Comarch, Symfonia or the CRM you have

For companies with data in CRM, ERP, e-commerce or spreadsheets that want to use AI without rebuilding the whole infrastructure.

Scope

API integrations, synchronization layer, AI classification, reports, automatic entries, alerts and error control.

Outcomes

What changes in the source systems

A common scenario: AI reads an email or document, recognizes the intent, fetches CRM/ERP data and prepares an action for approval or execution.

01

Less manual CRM completion

02

Automatic reports from company data

03

Better search across documents and records

04

Workflow between ERP, CRM, e-commerce and email

Process

How we work

01

System inventory

We review APIs, exports, webhooks, data structure and security constraints.

02

Process model

We design what AI reads, decides and writes, and where human approval is required.

03

Secure integration

We add logs, limits, retries, roles and monitoring so automation remains predictable.

What we connect

AI beside the system you already run

AI sits beside the system you keep: it reads a mail or a file, classifies it, drafts a row and writes only after someone approves.

Next step

A common scenario: AI reads an email or document, recognizes the intent, fetches CRM/ERP data and prepares an action for approval or execution.

We inventory the API, webhook or export from the Comarch, Symfonia or CRM you already run. Only then do we add classification, a draft record or a report. A new ERP is a different project. Here we only attach AI to the system you already pay for.

AI beside Comarch, Symfonia or CRM

How we attach a model without replacing the system of record

The value is in the records you already trust. The model should shorten the path from a mail or a document to a field, not invent a second database.

01

Inventory first, write-back later

Modern stacks expose APIs and webhooks. Older ERPs often expose exports, files, queues or a database view. We price the job only after we know how a row can be read and how a row can be written. No API is not a stop - it is a reason to put an approval panel in the middle.

Default design: the model prepares the record, a person confirms, the ERP or CRM commits. Logs keep the input, the field and who clicked yes. Silent overwrite is a separate, narrower decision.

02

When records already live in one system

The electrical B2B platform talks to ERP for dealer prices and wholesale orders on a 3000+ SKU catalog. When orders, invoices and customer cards already live in one system, AI should write into those records. It should not invent a second database.

CSRD reporting consolidates group data into one structure before any narrative layer runs. Same order: systems and fields first, language model second.

03

RAG and reports are still integration work

Answering from contracts or product files needs sources, freshness, permissions and a citation path. Dumping every PDF into one bucket is not a design. Manager summaries from ERP or CRM need the same join: what changed, which leads stalled, which tickets repeat.

If you need a new panel more than a connector, that is custom software. If you need a daily workflow that is not tied to one ERP, that is process automation. We stay on the connection between AI and the system you already pay for.

AI ERP/CRM integrations

FAQ

Common questions about ai integrations with erp and crm - scope, deployment, data, cost and security.

Often yes. If there is no API, we use exports, databases, files, RPA or middleware.

Yes, but approval mode is recommended for critical data. Automatic write is best for low-risk processes with clear rules.

We design them with logs, permissions, limited data scope and error monitoring.

Available for new projects

Next step

Connect AI to the ERP or CRM you already run

Name the ERP or CRM that holds the data and the fields AI must not overwrite. We will return with a connection plan and a write-back risk note.

Book a free call