Neural2B service

Business Process Audit for AI Implementation

We look at how your team currently operates and identify areas where automation or AI can truly save time. Without investments that won't pay off.

Who it's for and what tasks it fits

✓Owners and operational directors of small and medium businesses
✓Sales, logistics, and customer service managers
✓IT directors planning to integrate AI tools

What problem the solution solves

Companies often want to implement artificial intelligence 'everywhere and at once'. They take on overly complex or unprepared processes. They waste budgets on models when data is unstructured. Or they simply automate chaos. Without an audit, it's hard to even understand whether a language model (LLM) is needed here or if a simple API integration script will suffice.

Capabilities

We map out key repetitive operations in the team

We calculate how much time and errors occur at each stage

We check the quality and accessibility of your digital data (CRM, ERP, chats, files)

We technically check APIs and limitations of existing systems

We assess the expected return on investment for each hypothesis

We create a roadmap: from a simple pilot to a comprehensive system

Implementation and rollout stages

Gathering Initial Information

We talk to department heads and people who actually do the work. We analyze regulations and tools.

Data and API Analysis

We look at the database structure, whether there are webhooks, what limits exist in the systems, and how clean the request history is.

Prioritization by Value/Difficulty Matrix

We select 1-2 processes where the effect will be the fastest and technical risks are minimal.

Presentation of the Report and Action Plan

We provide a detailed report: architecture, data requirements, and pilot budget calculation.

Input data and required integrations

·Regulations and instructions from departments
·Access to CRM APIs (HubSpot, Salesforce, Pipedrive, HubSpot, etc.)
·Examples of incoming requests, emails, and documents

Automation boundaries and limitations

We tell you honestly upfront what the system can't do. It's easier that way than dealing with false expectations later:

✕The audit does not replace the company's internal management accounting
✕We will not promise to reduce 100% of the staff
✕The output will be a realistic engineering plan, not a marketing forecast

How pricing is calculated

Either a fixed price or included in the cost of the first pilot. It depends on how deeply we dig and how many departments we cover.

See estimated pricing benchmarks →Calculate the potential impact in the calculator →

Demo example

Document Recognition and Approval

The company receives dozens of invoices, acts of completed work, and waybills from various suppliers. In PDF, scans, or photos. The accountant spends up to 4 hours daily entering amounts manually, verifying the company ID, IBAN account numbers, and searching for which contract to link each document to.

View the scenario diagram →

Frequently asked questions about the service

How long does the audit take?▾

For one department or a company with up to 30 employees, it usually takes 5 to 10 working days.

What will we receive as a result?▾

A written technical and economic report. It includes a process map, data readiness assessment, selected architecture, and pilot budget.

Do we have to order development from you after the audit?▾

No. The report is yours. The requirements in it are open, so you can work with them either with your team or with any other contractor.

Want to talk through your process?

We'll look at how things work for you now, check whether AI is really needed here, and map out the first pilot.

Discuss my task

Other services

Let's start with your process: Business Process Audit for AI Implementation

Describe the process that’s eating up your team’s time. We’ll suggest what can be automated, what data is needed, and where to start.