AI Implementation
We put your strategy into practice
We connect people, deploy automations, co-pilots and agents connected to your systems to reduce costs, eliminate errors and accelerate decisions. All with security, traceability and real results.
From strategy to action,
with real AI solutions
How we work
A structured approach to achieve measurable impact. We apply an agile and controlled methodology to implement your AI solutions.
Discovery
We analyze flows and critical points to detect where AI generates the greatest impact, whether through automation, co-pilots or agents.
Architecture
We define integrations, security, roles and traceability to prepare the technical and data infrastructure that supports the secure deployment of AI.
Implementation
We deploy automations, co-pilots and AI agents connected to your systems: low-code to accelerate, APIs and back-end to extend.
Monitoring
We measure usage, performance and return on AI solutions with metrics and continuous evolution that ensure stability and constant improvement.
AI solutions that drive efficiency and decision-making
We implement automations, co-pilots and AI agents that improve productivity, reduce errors and amplify the operational capacity of your teams.
Intelligent processes, measurable results
We design AI-assisted flows that reduce manual tasks and improve operational quality. We measure the impact on time, costs and internal satisfaction.
Integrations that extend your capabilities
We connect systems, data and models to create fully integrated AI solutions. APIs and low-code to ensure agility and scalability.
Purposeful co-pilots and agents
We develop copilots and agents that understand the context of your business, automate decisions and empower human work.
From idea to impact. AI MVPs that scale
We validate artificial intelligence solutions with an agile approach, measure their return and evolve them until they become part of your company’s digital ecosystem.
Agility and Validation
We launch functional versions, gathering real feedback from the business. We validate hypotheses and measure results with an agile and ROI-oriented approach.
Controlled evolution
We scale from MVP to enterprise solution while maintaining full traceability. Every advance is supported by data, ensuring quality, security and sustained performance.
Technical sustainability
We design solutions on APIs, low-code and hybrid cloud to maximize efficiency, governance and future-proofing.
Innovation Cases
Copilot AI Document
At CIM we also apply artificial intelligence to our own processes.
We are developing an intelligent co-pilot in Microsoft Teams, connected to OpenText Documentum, which allows querying, summarizing and exploiting document information directly from the DMS.
This pilot, deployed on a secure cloud infrastructure, is the basis for future integrations that unite generative AI and corporate document management, enabling smarter automation, enhanced data accessibility.
Automatic appointment management
We extend the use of artificial intelligence to customer relationship automation.
We have created an intelligent conversational agent that manages appointments in real time from chat, connecting availability, confirmations and reminders without human intervention.
This pilot lays the groundwork for new AI applications that combine efficiency, personalization, and scalability in corporate communication and smarter decision-making.
Success stories
THE BOX by Carolina Mazzoni
The beauty firm opted for the implementation of AI and advanced automation to scale its business model without losing proximity to its customers.
We deployed an orchestrated system with Make, integrating CRM, communication tools and OpenAI models.
The result: a centralized and predictive management of campaigns and channels, reducing manual tasks and speeding up commercial decisions.
Babidibu
The publishing house that combines creativity and purpose optimized its internal management and relationship with authors through integrated AI solutions.
We developed intelligent workflows that connect CRM, OpenAI and MS 365 to automate tasks, centralize information and facilitate decision-making.
With a low-code and scalable approach, they improved traceability and reduced more than 70% of manual work.