Production AI, not prototypes
Generic chatbots answer FAQs. Develo builds enterprise AI systems that act on your data: agents that connect to internal systems, knowledge grounded in your documents, and automation with permissions, guardrails and human oversight — engineered to survive production.
What we build
Production AI agents
Autonomous agents that plan, call tools and execute workflows inside your systems — with permissions, guardrails and human escalation.
Enterprise RAG & knowledge systems
Answers grounded in your documents, catalogs and databases, with citations, reindexing and permissioned access.
AI automation
Replacing manual, high-volume workflows with reliable, observable automation across channels.
Custom enterprise software
Platforms, backoffices and internal tools engineered around your operations and integrations.
How we build production AI
- AWS and Amazon Bedrock for models, data controls and guardrails inside your tenancy
- RAG with vector search, hybrid retrieval and citations over your own knowledge
- MCP tool servers and APIs so agents act on CRM, ERP and internal systems under scoped permissions
- Guardrails, audit logs and human-in-the-loop checkpoints for sensitive actions
- Multitenant isolation when multiple organizations share one deployment
- Observability: traces, evaluation suites and cost/quality metrics per agent and conversation
Systems we integrate with
- CRM and ERP
- APIs and internal services
- Databases and data warehouses
- WhatsApp (via Meta APIs)
- Marketplaces, including Mercado Libre
Evidence in production
Frequently asked questions
Can the AI agent connect to our CRM, ERP or internal APIs?
Yes. We expose your business systems as governed tools — usually through APIs or the Model Context Protocol (MCP) — so agents can read and act on CRM, ERP, databases and internal services with scoped permissions and audit logs.
How is company knowledge kept up to date?
We build RAG pipelines that ground answers in your documents and operational data. Sources reindex automatically, and the operational backoffice lets your team edit, upload and reindex knowledge without a developer.
Can actions require human approval?
Yes. Production agents ship with human-in-the-loop checkpoints: sensitive actions request explicit confirmation, and operators can supervise, escalate and take over from a console.
Can the system support multiple organizations or business units?
Yes. Enterprise deployments isolate each organization's context, rules and documentation in a multitenant architecture — as with the Intervan copilot serving more than 1,000 users.
Can it run on AWS and Amazon Bedrock?
Yes. Develo engineers on AWS and runs large language models through Amazon Bedrock, keeping models, data controls and guardrails inside your own cloud tenancy.
How is the system monitored in production?
Every conversation and agent action is traced and measured — quality, cost, latency and escalation metrics — with observability dashboards your team can operate.
How do human agents take over?
Conversations and context are shared in real time with human operators, who can supervise a request, approve an action or take over the interaction when the agent reaches its confidence or policy boundary.
Related
Talk to an enterprise AI engineer
Tell us the system you need, the systems it must touch and the constraints it has to respect. We'll reply with a concrete architecture and next step.
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