We implement Artificial Intelligence connected to your documents, data and systems, with security, traceability and operational control.
We help you identify the right use case, choose the right architecture and take the solution to production without exposing sensitive information.
Quick overview
A simple read to understand what each service does, when it makes sense and what results your company can expect.
We build agents that query APIs, databases, CRM, ERP, ticketing and internal tools.
When it fits
When conversation is not enough and you need to act on real systems.
Who it is for
Operations, support, purchasing, administration, claims and back office.
Result
Controlled process automation, with permissions and validations.
We build chat and voice agents that answer inquiries, qualify leads and book appointments 24/7.
When it fits
When inquiry volume outgrows your team or customers wait too long for an answer.
Who it is for
Contact centers, support, sales, bookings, medical scheduling and any business with high inquiry volume.
Result
Instant responses, lighter workload and a handoff to a person when it matters.
We build internal assistants that use company information without exposing sensitive data.
When it fits
When you need to query internal knowledge with permissions, traceability and control.
Who it is for
Organizations with sensitive data, complex processes or security and compliance requirements.
Result
Faster, more reliable answers without losing control over your information.
We define rules, permissions, auditing and monitoring to use AI responsibly.
When it fits
When the organization needs to adopt AI without losing operational, legal or technical control.
Who it is for
Regulated companies, IT, compliance, security, legal and leadership.
Result
A clear framework to operate with security, traceability and continuous improvement.
We prepare your company to comply with the European AI regulation: inventory, risk, documentation and oversight.
When it fits
When you use or sell AI in Europe and need to prove compliance before an audit or a customer asks for it.
Who it is for
Companies operating in the European Union or selling to European customers, compliance, legal and IT.
Result
Documented evidence of compliance and lower exposure to penalties.
We turn PDFs, manuals, regulations and knowledge bases into a chat with verifiable sources.
When it fits
When the information exists but is scattered, and finding a reliable answer is hard.
Who it is for
Support, operations, legal, compliance, HR and teams with lots of living documentation.
Result
Fewer manual searches and consistent answers based on real documents.
We let you query databases in plain language and generate automated reports for every team.
When it fits
When the data exists, but every report depends on an analyst or hand-built spreadsheets.
Who it is for
Leadership, finance, operations, sales and teams that make data-driven decisions.
Result
Answers in minutes and reports that build themselves, with verifiable numbers.
We attack your AI solutions in a controlled way to find flaws before someone else does.
When it fits
When an agent accesses real data or systems and you need to know what happens if someone tries to manipulate it.
Who it is for
Security, IT and product teams, and companies with agents in production.
Result
Vulnerabilities found and fixed before they impact operations.
We train each team to use AI productively and safely, with documented records.
When it fits
When teams use AI without shared criteria or the company needs to prove AI training.
Who it is for
Leadership, middle management, operations, IT and compliance.
Result
Teams that use AI with judgment, fewer risks and proof of training.
We identify real opportunities, risks, required data and next steps before you invest.
When it fits
When the company wants to move forward but does not know where to start or what to prioritize.
Who it is for
Leadership, IT, operations and business units that need a roadmap before implementing.
Result
A concrete plan to decide what to implement first, what to avoid and how much effort it takes.
We adapt models to follow your business formats, rules and criteria.
When it fits
When a general-purpose model does not answer with the accuracy or structure your operation needs.
Who it is for
Teams with repetitive classification, extraction, support, writing or analysis tasks.
Result
Greater consistency in tasks that repeat often and require clear criteria.
We test and adapt models on cloud GPUs before you invest in your own infrastructure.
When it fits
When you want to validate a solution without buying specialized hardware upfront.
Who it is for
Teams that need to test quickly, train occasionally or compare alternatives.
Result
Lower upfront investment and a clearer decision on costs, quality and infrastructure.
Technical decisions, no hype
In most cases there is no need to build a model from scratch. First we define whether it makes more sense to search documents, connect systems, adapt a model or set up a private platform.
Ask about the right architectureWhen AI needs to answer using internal documents.
When AI must learn a specific format, style or criteria.
When AI needs to query systems or run processes.
When privacy and data control are the priority.
When you want to validate quickly without buying hardware.
Scope
For teams that need to review scope, deliverables, technologies, timelines and working method before moving forward.
We build agents that query information, execute authorized steps and assist users within controlled business workflows.
Estimated time
6 to 12 weeks.
Expected result
An agent connected to real systems, with controlled actions, traceability and gradual rollout.
We deploy agents that respond on WhatsApp, web, email or phone, look up your systems and hand off to a person with full context when the case requires it.
Estimated time
3 to 8 weeks.
Expected result
An agent that resolves frequent inquiries, captures leads and hands off to a person only when it adds value.
We design private assistants connected to internal knowledge so teams and operational areas can query critical information securely.
Estimated time
4 to 12 weeks depending on scope.
Expected result
A private AI platform ready to operate with internal sources, clear permissions and production monitoring.
We design technical and operational controls so every solution has permissions, auditing, quality criteria and defined owners.
Estimated time
2 to 8 weeks.
Expected result
An operational framework to use AI with permissions, metrics, auditing and continuous improvement criteria.
We survey the AI systems in use, classify them by risk level and build the documentation, logs and controls the AI Act requires.
Estimated time
3 to 10 weeks depending on the number of systems.
Expected result
An audit-ready compliance file and a clear plan to meet the regulation deadlines.
We implement document chats that search internal sources, retrieve relevant context and answer with citations so every response can be validated.
Estimated time
2 to 6 weeks.
Expected result
A document chat that answers with sources, reduces manual searches and improves answer consistency.
We connect AI to your databases and BI tools to answer business questions, flag deviations and generate recurring reports.
Estimated time
3 to 8 weeks.
Expected result
A reliable data assistant and automated reports that cut manual analysis work.
We test agents and assistants against prompt injection, data leakage and unauthorized actions, and leave defenses and automated tests for every new release.
Estimated time
2 to 6 weeks.
Expected result
An agent tested against real attacks, with active defenses and tests that run on every change.
We design hands-on, role-based workshops with real company cases and usage policies, and keep documented records to meet the AI Act AI literacy obligation.
Estimated time
1 to 4 weeks.
Expected result
Trained teams, clear usage policies and the documentation needed to prove the training.
We help prioritize use cases, estimate effort, define architecture and build an actionable roadmap.
Estimated time
1 to 2 weeks.
Expected result
A clear plan to decide what to implement first, what to avoid and how to move forward with lower risk.
We specialize models with real input and output examples to improve performance on a specific business task.
Estimated time
4 to 8 weeks.
Expected result
A model specialized for a specific task, measured against real examples and ready to integrate.
We use GPU cloud infrastructure to validate models, measure quality and estimate costs before defining the final environment.
Estimated time
2 to 8 weeks depending on complexity.
Expected result
A technical and economic validation of the model without an upfront purchase of specialized hardware.
Method
We start from the real process, choose the right architecture and move forward with validation, security and integration from the first MVP.
We survey processes, documents, systems, risks, users and opportunities with real impact.
We define whether RAG, fine-tuning, agents, a local LLM, private cloud or a combination fits best.
We build a first working version with metrics, initial security and user validation.
We add permissions, auditing, monitoring, integration, documentation and gradual rollout.
Use case prioritization, MVPs, training and guidance to implement AI with low risk.
Policy and claims analysis, customer onboarding, fraud prevention, regulatory reporting and compliance.
Chat and voice agents, inquiry routing, call summaries and real-time assistance for agents.
Certificate validation, document analysis, traceability, human review and rule enforcement.
Emails, forms, invoices, delivery notes, employee files, approvals and repetitive tasks.
Gradual modernization through APIs, MCP, events, automation and integration without replacing the whole ecosystem.
Contract review, case file search, reconciliations, payroll and client answers backed by sources.
Claims, smart tracking, document validation, integration with WMS, SAP, APIs and operational systems.
Event analysis, automated reports, video analytics and integration with monitoring systems.
Founder-led
Dusare is a founder-led boutique consultancy, driven by Ariel Sebastián Duarte. The work combines software architecture, automation and systems integration to turn concrete opportunities into production-ready solutions.
Ariel Sebastián Duarte
Founder & AI Solutions Architect
Production-oriented solution design.
Integration with internal systems and real processes.
Security, traceability and data control from day one.
Answer evaluation and quality monitoring.
Scalable, maintainable architecture.
Support from assessment through operation.
Vendor-agnostic approach: the right technology for each context.
Shown as tools we can integrate or use depending on the case; they do not represent clients, partners or certifications.
We start with an assessment to identify opportunities, risks, the required architecture and next implementation steps.
