Copilots and assistants
Internal assistants connected to company knowledge, with access control and contextualized responses for sales, support, and operations teams.
MK3 guide
We help companies move beyond isolated experimentation and adopt AI with purpose: integrated into systems, safe to operate, and measurable to scale.
Internal assistants connected to company knowledge, with access control and contextualized responses for sales, support, and operations teams.
Specialized agents that execute recurring tasks — triage, qualification, follow-up, and operational routines — with traceability and clear boundaries.
Connection with OpenAI, Azure OpenAI, Gemini, and open source models through a single routing layer, policies, and usage observability.
Workflows combining business rules, APIs, and AI to reduce manual work in customer service, back office, and document analysis processes.
Answers grounded in documents, internal databases, and corporate APIs — less hallucination, more alignment with the client context.
Usage policies, auditing, cost management (AI FinOps), and protection of sensitive data from solution design onward.
Journey
A practical methodology to evolve safely — inspired by market references, adapted to the size and pace of your operation.
We map processes, available data, risks, and ROI opportunities before investing in development.
We validate value in a real, measurable workflow — for example, customer service, commercial proposals, or document triage.
We integrate AI into existing systems (.NET, Angular, APIs) with sustainable architecture and incremental deliveries.
We monitor quality, cost, and adherence; we adjust prompts, agents, and integrations as the business learns.
Use cases
Applications we combine with custom software and specialized teams.
Lead qualification, initial responses, living knowledge base, and intelligent handoff to humans.
Document classification, data extraction, reconciliations, and routines that currently consume hours of team time.
AI applied to analysis, testing, documentation, and squad productivity — with human review and quality standards.
Analytical assistants over indicators, reports, and operational databases to support day-to-day decisions.
Delivery models
Adoption roadmap, use case prioritization, and architecture definition before scaling investment.
Custom-built copilots, integrations, agents, and automations — from design to go-live.
Allocated professionals or dedicated squads combining software engineering with generative AI practice.
We do not deliver prompts alone: we integrate AI into .NET, Angular, and API products with architecture and maintenance.
Every initiative starts from a measurable business problem — time saved, conversion, or quality.
Close communication, agile deliveries, and ongoing support after implementation.