What is slowing down the quoting process in your company today?
Hundreds of enquiries, one team
Stockouts stall the quote
A quote assembled from several systems
Gaps in the CRM data
Every channel its own way
The customer writes their own way
AI-generated offers
The enquiry read by AI
AGA takes enquiries from email, forms, chat and the mobile app - as text, PDF, Excel, CSV, even a photo of a handwritten note. An engine built on the GPT-4o model analyses the content and turns it into structured data for the ERP and CRM, with no manual entry.
A colloquial name matched to the index
When a customer names a product their own way, semantic search and vector databases match the colloquial name to the right stock index. The system recognises products, technical parameters and key requirements straight from the enquiry text.
Substitutes from rules, not memory
When a product is unavailable, AGA proposes available substitutes based on attributes, catalogue links and business rules. Knowledge of the alternatives stops living in two people's heads.
A quote from current data
From current stock levels and system data, AGA generates a complete quote, ready to review and send. The rep verifies and approves rather than assembling the document from scratch.
Verification where it's needed
When something is unclear or data is missing, AGA doesn't interpret blindly - it flags the enquiry for verification, pointing to exactly what needs attention. Automation works where the data is correct, and the decision stays with a person.
Customer data filled from registries
AGA recognises a counterparty by email address, message signature, NIP or company name, and fills the gaps from the GUS and VIES registries. The system learns from earlier enquiries and decisions, so its recommendations keep getting more precise.
Do you work with Dynamics 365 or another ERP system?
The value AGA provides
The rep's time goes back to selling
The team talks to customers instead of retyping data from attachments. The number of enquiries handled grows without growing the team.
Stockouts don't stop the sale
A substitute appears in the quote right away, by rules you set. The customer gets a proposal, not a notice that something's out of stock.
A quote in minutes
A complete document is built from current data before a competitor replies. Speed of response starts winning enquiries that once got lost in the queue.
A CRM that fills itself in
The customer profile is complete without manual entry, with data verified against the registries. Every enquiry leaves order in the database behind it, not a mess.
One process for every channel
It doesn't matter whether the enquiry came by email, chat or the app. The handling path and the quality of the reply are the same.
Automation that knows when to ask
Doubtful cases go to a person with a specific pointer to what needs checking. Nothing goes to the customer that the rep hasn't approved.
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?
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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 need: implementation, migration, system development, or a question you’re looking to have answered. We’ll get back to you with a concrete proposal for the next step - not a sales pitch.
