Internal assistants for teams
Tools that help employees query information, resolve questions, analyze documents, generate answers or automate repetitive tasks.
AI
We create AI tools tailored to real processes: internal assistants, chatbots, recommendation systems, document analysis, content generation, task automation and RAG solutions connected to your company data.
AI can save time, improve customer support and unlock new features — but only when it is properly connected to company data, tools and processes.
At Digitup we design and implement complete solutions: backend, frontend, database, prompts, context, business rules, integrations and control panels. The goal is useful AI inside the product or daily operations — not an isolated experiment.
Tools that help employees query information, resolve questions, analyze documents, generate answers or automate repetitive tasks.
Assistants that answer questions, recommend products, check availability, handle requests and escalate conversations to human agents.
Systems that let people query internal information, PDFs, databases, websites or corporate docs in natural language.
Tools to create, rewrite, translate, summarize, classify or adapt content across languages, formats and channels.
Flows that combine AI, APIs and business rules to reduce manual work in support, sales, admin, operations or marketing.
Message classification, data extraction, intent detection, summaries and automatic prioritization of requests.
We build RAG systems so an assistant can answer using real business information: documents, databases, FAQs, contracts, internal pages, products, bookings, policies or any structured or unstructured source.
Not every project needs the same model. We can integrate OpenAI, Gemini, Anthropic, DeepSeek, Perplexity or other providers, choosing by quality, speed, cost, privacy and task type.
The key is not using “the most famous AI”, but choosing the right architecture so the solution is useful, stable and sustainable.
We identify which part of the process AI can improve and which data or tools must be connected.
We define model, backend, database, prompts, memory, RAG, rules and conversation flows.
We develop a functional prototype to validate answers, cost and real usefulness.
We connect AI to WhatsApp, web, CRM, PMS, ERP, Google Sheets, Stripe, databases or external APIs.
We monitor usage, quality, cost, errors and improvements needed to evolve the system.
FAQ
Clear answers about how we work and what you can hire us for.
It is a tool connected to your data, processes and systems (CRM, documents, WhatsApp, databases, etc.) that uses language models to automate tasks, answer questions or generate useful day-to-day content.
RAG (Retrieval-Augmented Generation) lets an assistant answer using your company’s real information — documents, FAQs, databases or internal pages — instead of guessing. It makes sense when you need accuracy and source control.
We integrate OpenAI, Gemini, Anthropic, DeepSeek, Perplexity or others based on quality, cost, speed, privacy and task type. There is no single model for every project.
It depends. A useful first version can often be validated in weeks if the scope is clear; complex integrations with multiple systems and internal panels may need more phases.
Yes. We can connect the solution to WhatsApp, web, CRM, ERP, Google Sheets, Stripe, databases or custom APIs so it becomes part of real business workflows.
We can help identify the best use case, design the solution and build a production-ready tool.
Talk about my AI project