Put AI to work in your daily operations: find information, process documents and prepare responses and tasks. Dinesco connects the infrastructure, integrations and ongoing support from Tbilisi, Georgia, for teams working internationally.
Each industry has its own documents, systems and quality criteria. Choose the workflow you want to improve.
Patient intake and draft notes for one clinical service.
Explore use casesKnowledge search for one equipment family.
Explore use casesA product and delivery assistant for one catalog category.
Explore use casesShipment request processing for one shared mailbox.
Explore use casesDocument search and summaries for one project.
Explore use casesField extraction and completeness checks for one document type.
Explore use casesA program and admissions assistant for one training provider.
Explore use casesCall summaries and draft tickets for one support queue.
Explore use casesRepeated searches for instructions, copying details between documents and writing up conversations are useful starting points for a pilot.
We assess data availability, exceptions and the cost of manual work before choosing a workflow with a result that can be measured against your current process.
AI prepares the output. Access rules, review steps and escalation paths are defined before launch.
The architecture depends on your data, workload, languages and hosting requirements.
RAG and BGE-M3 semantic search retrieve relevant passages from your knowledge base. Source references let employees check the information behind an answer.
We evaluate retrieval and answer quality using a reference set of questions. Requests with insufficient evidence are passed to staff.
Our stack includes Qwen 3, Gemma, Mistral Small and DeepSeek-R1. We evaluate models against your use case and scope adaptation or fine-tuning when the data supports it.
Process documents and spreadsheets and extract information from scans and images. GigaAM supports Russian speech workflows; speech recognition for other languages is selected and tested separately.
AI agents prepare documents, tasks, notifications and approval steps. Actions with business consequences follow agreed rules and require approval where specified.
Connect ERP, CRM, email, telephony, websites and industry software through available APIs and webhooks.
Discovery covers available interfaces, data fields and read/write permissions. If an API is unavailable, we agree a file exchange or another integration method before estimating the project.
Deploy on agreed infrastructure: dedicated servers, virtual machines or containers. We agree hosting locations, data flows and processing arrangements with your IT team before any project data is transferred.
Role-based permissions, Active Directory, VLANs, VPNs and isolated environments.
Activity logs, backups, restore checks and availability monitoring.
Answer evaluation, model error reviews, knowledge base updates and a user support channel.
Establish a baseline, then compare it with the pilot. The number of generated answers alone does not demonstrate savings.
Compare the existing process and AI-assisted work on a representative set of equivalent tasks.
Compare the existing process and AI-assisted work on a representative set of equivalent tasks.
Compare the existing process and AI-assisted work on a representative set of equivalent tasks.
You receive the architecture, integration documentation and operating procedures needed to run the solution.
Choose the process, source materials and acceptance criteria.
Agree hosting, integrations, cost and delivery scope.
Configure the solution and review quality with your team.
Train users, hand over documentation and support the system.
Tell us where your team spends time on repetitive work. We will suggest a pilot, the integrations it needs and a way to assess the outcome.
Scope, timing and budget follow an assessment of your workflow and data.
georgia@dinesco.com ↗+995 595 245 159