AI strategy
Where AI creates value in your company, where to start and how much to invest.
- Opportunity assessment
- Prioritization by value and risk
- Adoption roadmap
AI applied to your business processes.
Versatile AI solutions with agile delivery.
We find where artificial intelligence creates value, design the solution and put assistants, agents and automations into operation, connected to your company’s daily work.
- AI strategy
- Agents and assistants
- Governance and security
From idea to operation
From opportunity to AI running in daily work.
We lead the AI initiative end to end, or step in at the stage where your company needs support the most.
- Opportunity
- Assessment
- Use case
- Proof of concept
- Solution
- Integration
- Adoption
- Evolution
What we do
AI consulting and solutions for businesses.
From defining where AI makes sense to a working solution, with clear criteria for value, cost and risk.
AI agents
Agents that carry out tasks within your processes, with clear rules and human oversight.
- Controlled access to systems
- Human approval steps
- Every action logged
Internal assistants
Assistants that answer based on your company’s own documents, policies and data.
- Company knowledge base
- Answers with cited sources
- Access by team and role
Document processing
Reading, classifying and extracting data from documents at volume.
- Contracts, invoices and forms
- Structured data extraction
- Validation before use
Voice AI
Voice-based customer service and assistants, with call transcription and analysis.
- Call transcription and summaries
- Voice assistants
- Natural synthetic voice
Governance and training
Using AI with security and privacy, and teams ready to make the most of it.
- AI usage policy
- Privacy and data protection (LGPD)
- Team training
AI applied to business
AI goes far beyond chatbots.
AI delivers value when it is connected to the company’s data, systems and processes. We help you find where it makes an impact and put it into operation with security and governance.
- ProcessesWhere the manual effort is
- DataThe business context
- AIInterpretation and decisions
- AutomationExecution within the process
- ResultsProductivity and quality
From current systems to the end user
Select a stage to see the role of each layer.
01 / 05
Existing system
ERP, CRM, databases and the tools that already run the operation. AI works with them, with no need to replace systems.
ERP · CRM · Databases
How we help
- Identify processes that are candidates for AI automation
- Choose the right model for each case
- Build AI agents
- Deploy internal assistants
- Process and extract data from documents
- Integrate voice and AI
- Connect AI to the systems the company already uses
- Measure quality, cost and impact
- Train teams to use AI in their daily work
AI adoption
From proof of concept to operation.
Many AI initiatives stall at the pilot stage. We structure the path so the solution becomes part of your teams’ routine, with metrics, controls and continuous improvement.
- Start with a use case that has clear value
- Measure quality, cost and impact before scaling
- People in control of critical decisions
Adoption stages
How the solution is organizedScale
- Data and documentsThe knowledge the company already has
- AI modelsThe right model for each task
- Agents and automationsTasks carried out with clear rules
- ProcessesIntegrated into daily work and systems
- PeopleProductive teams, in control
AI technology
The building blocks of a reliable AI solution.
We choose models and tools by use case: answer quality, cost per use, data privacy and ease of maintenance.
Language models
The best-fit model for each task, compared on quality and cost.
Agents and orchestration
Agents that use tools and follow defined workflows, within clear limits.
Company knowledge
Search across company documents and data for answers with sources.
Voice
Transcription, conversation analysis and natural synthetic voice.
Integration
Connection to the systems and channels the company already uses.
Quality and security
Answer evaluation, monitoring and data protection.
How we work
A clear path, from assessment to evolution.
Every stage has deliverables and decision criteria. You know what is being done, why, and what result to expect.
Understand
Map the business
We understand the processes, the available data and the business goals.
Prioritize
Pick the use cases
We choose use cases by value, feasibility and risk.
Prototype
Validate with real data
We validate with real data and metrics before investing in the full solution.
Implement
Go live
We put the solution into operation, with integration, controls and training.
Evolve
Improve continuously
We track quality, cost and adoption, and keep adjusting.
Use cases
Where AI makes an impact.
Typical scenarios where Versagil works.
Customer service
AI customer service
Answers to frequent questions, request triage and routing to the right person, with customer history and context.
Assistants
Internal knowledge
An assistant that answers team questions based on the company’s manuals, policies and documents, always citing the source.
Documents
Document analysis
Reading and extracting data from contracts, proposals and forms, with a summary of key points for human review.
AI agents
Back-office agents
Agents that prepare records, cross-check information between systems and leave tasks ready for approval.
Voice
Voice and conversations
Transcription and summaries of meetings and calls, customer service analysis and assistants that talk by voice.
Training
Team productivity
Programs to adopt AI assistants in daily work, with practical cases for each team and a safe usage policy.
Why Versagil?
We don’t start with technology. We start with the problem.
Versagil combines business insight, technical knowledge and hands-on experience with artificial intelligence to take AI from talk to operation, responsibly.
Business
We start with the process and the expected value, not the trendy tool.
Data
AI is only as good as the data it uses. We take care of quality and privacy.
AI
The right model and approach for each case, with costs under control.
People
Real adoption by teams, with critical decisions always under human control.
Consulting
- AI assessment and roadmap
- Use case prioritization and business case
- AI governance and usage policy
- Tool and vendor evaluation
Solutions
- AI agents and assistants
- AI task automation
- Document and voice processing
- Quality evaluation and monitoring
We work with
- CEOs and directors
- CTOs and CIOs
- Operations leaders
- Customer service leaders
- IT managers
About
Over 20 years in technology, now dedicated to AI.
Versagil Solutions brings together over 20 years of experience in software engineering, systems architecture and technical leadership. This background is the foundation of our artificial intelligence solutions: AI that works in a company’s daily routine depends on well-structured data, integration with existing systems, security and scale.
20+years of experience in software engineering, systems architecture and technical leadership
Engineering before the demo
An AI solution has to work every day, not just in the presentation.
Security from the start
Experience with critical systems and strict security and compliance standards, such as PCI DSS.
Technology chosen for the problem
A broad toolkit to use the right tool, not the only one we know.
Technologies we master
The technologies behind Versagil’s AI solutions.
Artificial intelligence
- OpenAI
- Claude
- ElevenLabs
- Large language models (LLMs)
- AI agents
- n8n
- Cursor
- GitHub Copilot
Languages and frameworks
- Java
- Spring Boot
- TypeScript
- JavaScript
- Node.js
- NestJS
- Angular
- React
- Flutter
- Kotlin
- Swift
Data
- PostgreSQL
- Amazon Aurora
- Amazon RDS
- MySQL
- Oracle
- SQL Server
- DynamoDB
Cloud and DevOps
- AWS
- Amazon ECS
- AWS Lambda
- Amazon SQS
- API Gateway
- CloudFront
- Docker
- Kubernetes
- GitHub Actions
- GitLab CI
Architecture and integration
- REST APIs
- Microservices
- Apache Kafka
- Multi-tenant SaaS
- Serverless
- Swagger / OpenAPI
- Twilio
Quality and security
- PCI DSS
- SonarQube
- Sonatype
- New Relic
- CloudWatch
- Clean Code
Let’s talk
Where can AI help your company?
Tell us the challenge. We’ll help you assess whether AI is the right path and where to start safely.
Let’s talkOr write directly to