We understand your challenges
AGA automates the handling of enquiries, analysing the content and generating a quote ready for review.
AGA suggests available substitutes on the fly, based on attributes and business rules.
AGA generates a complete quote, ready to review and send, based on current system data.
AGA fills in customer data based on the email domain and the GUS and VIES registers.
AGA works consistently across all channels, ensuring a uniform customer experience.
AGA reads any format and uses semantic search to match a colloquial product name to the right warehouse item number.
The team regains time for talking to customers rather than retyping data.
Sales does not lose momentum even when stock runs short.
The quote reaches the customer in minutes, not hours.
The customer profile is complete without filling it in by hand.
It does not matter where the enquiry came from, the way it is handled is the same.
Customer format and wording stop being a problem: the system reads content, not just file structure.

Handling enquiries from many channels and formats
AGA takes in enquiries from email, the contact form, the website chat, and the mobile app, whatever the format: text in the message body, PDF, Excel, CSV, or even a photo of a handwritten note. The system automatically analyses the content and turns it into structured data that ERP and CRM systems process, without manual data entry.

AI analysis and intelligent product matching
Built on the GPT-4o model, the AI engine interprets the content of an enquiry, recognising products, technical parameters, and the customer's key requirements. When a customer uses their own naming instead of a warehouse item number, AGA uses semantic search and vector databases to match the colloquial name to the right product in the system.

Substitutes and automatic quote generation
When a product is unavailable, AGA suggests substitutes based on product attributes, catalogue links, and business rules. Based on current stock levels and system data, it generates a complete quote, ready to review and send, shortening the time to prepare it.

Integration with company systems and continuous learning
AGA works with ERP, CRM, Sales Hub, Power BI, Dataverse, and external databases, including the GUS and VIES registers, which it uses to complete and verify counterparty data. The system learns from earlier enquiries, quotes, and sales decisions, so its recommendations become increasingly precise.

Products that help us drive change
We don't just deploy standalone applications; we implement a cohesive suite of Microsoft solutions—from Dynamics 365 and the Power Platform to advanced analytics and AI—tailored to your specific goals. Everything runs on a unified data foundation, meaning information entered once works across your entire organization, while AI supports your processes exactly where the work happens.

A clear, structured path for change in your company
Switching systems doesn't have to mean chaos. We guide you through four simple steps, ensuring that at every stage, you know exactly what is happening, why it’s happening, and what comes next.
Needs analysis
We get to know your situation, processes, and goals. Together, we determine what needs to change and how we will measure the success of that change.
Choosing the right solutions
We recommend the scope, path, and variant, always starting with standard options. You make your decisions based on facts, not assumptions.
Roadmap
Schedule, budget, roles, and decision gates. Everyone knows who is responsible for what and when decisions are made.
Implementation and monitoring
We implement in stages, incorporating testing and risk management, and once live, we stabilize the system and transition to ongoing support.
Wondering whether this would work for you?
Let's see how Dynamics 365 can transform your business
We implement, develop, and maintain Microsoft systems: from finance and operations to data and AI. Let’s start with a free consultation about your current situation.


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FAQs
Does AGA work only with Microsoft Dynamics 365?
No. AGA is optimised for the Microsoft system, but its architecture allows integration with almost any ERP or CRM that has an API. The data-processing logic stays independent of the target system.
How does AGA handle errors in customer queries?
The system is designed on the assumption that errors will occur. Faced with ambiguity or missing data, AGA does not interpret blindly but flags the query for a salesperson to verify, pointing out exactly what needs attention, for example an ambiguous product code. This keeps the process safe, while automation works where the data is correct.
Does implementing AGA require changing processes in the company?
No. AGA fits into your existing communication channels, so your customers do not have to change how they submit queries. Internally the process gets simpler. Instead of entering data by hand, the team focuses on verifying and approving pre-processed queries in the system.
Which AI model does AGA run on?
AGA is built on the GPT-4o model. The system understands the context of a query, learns from examples, and adapts to the specifics of your organisation.
How does AGA recognise a customer who is not yet in the system?
The system recognises a counterparty based on the email address, the message signature, the tax ID (NIP), or the company name. If the counterparty is not in the database, AGA can suggest creating their profile, using the GUS and VIES registers to fill in the data.
Let's talk about your project
Let us know what you're looking for: implementation, migration, system development, or a specific question you need answered. We’ll get back to you with a concrete next step, not a sales pitch.



























