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Botpress • Autonomous Nodes • MAS

Autonomous Agent
Engineering.

We don’t build decision trees. We build autonomous workflows that plan, call tools, run code, and execute tasks—reliably, securely, and (when needed) on self-hosted infrastructure.

24/7 Autonomous task execution
MAS Multi-agent systems
RAG Knowledge-grounded answers
VPC Self-hosted option
Map My Automation Workflow Need Agent UX?

Automation Architecture Call

We’ll map tools, security, and deployment (cloud or self-hosted).

2025 Keywords

Autonomous Infrastructure

Autonomous nodes, agent routers, multi-agent systems (MAS), proactive engagement, and code-first execution—built for real production environments.

Autonomous Nodes

Goal-driven execution that adapts in real time instead of breaking when users go off-script.

  • LLM-driven next-step selection
  • Tool use with constraints
  • Robust fallbacks + handoff
  • Structured outputs for integrations

Agent Router (Multi-Agent Systems)

We build a team of specialized agents and route requests with context preserved.

  • Triage agent → specialist agents
  • Shared memory + context passing
  • Role-based prompts per agent
  • Cost-aware routing patterns

Proactive Engagement

Agents that trigger at the right moment—without spamming—based on intent signals.

  • Pricing-page dwell triggers
  • Form-abandon recovery
  • Cart / checkout rescue
  • Escalation rules + throttling

Code-First Execution

We use code execution to integrate legacy systems, compute quotes, and update databases securely.

  • Custom Node.js logic
  • API orchestration + transforms
  • Secure secret handling
  • Audit trails + logging
For CTOs

Technical Specs

A practical view of how we handle integrations, security, self-hosting, and reliability when agents execute real operations.

API Integrations

REST/GraphQL integrations with schemas, validation, and retries so automations don’t silently fail.

  • OAuth2 / API key / JWT support
  • Idempotency keys for writes
  • Rate limiting + exponential backoff
  • Strict JSON schemas for tool outputs

Security & Data Governance

We design for least privilege, traceability, and safe handling of sensitive data.

  • Secrets management (env/secret store)
  • PII redaction + retention policy
  • RBAC for admin/editor/viewer
  • Prompt injection defenses (tool scopes)

Self-Hosted Infrastructure

For strict data sovereignty we deploy in your environment with standard DevOps patterns.

  • Docker/Kubernetes deployment
  • TLS + network allowlists
  • Backups + disaster recovery
  • Observability: logs/metrics/traces

Reliability

Production-grade execution with monitoring and human-safe fallbacks.

  • Timeouts, retries, dead-letter queues
  • Circuit breakers for flaky services
  • Human-in-the-loop approvals
  • Runbooks + incident response
Explore broader AI services →

What We Automate

Workflows that touch real systems, not demos.

Support + Ticket Automation

Triage, resolve common issues, and create tickets with full context and structured fields.

Autonomous WorkflowsAgent RouterProactive Engagement

Ops Automations

Back-office automations that query databases, reconcile data, and trigger downstream systems.

Execute CodeSelf-HostedAPI Orchestration

Sales Engineering Assistant

Calculate quotes, pull account history, and draft proposals using your internal systems.

Code-First ExecutionTool CallingStructured Outputs

Internal IT Helpdesk

Resolve access requests, create tickets, and automate common IT tasks with approvals.

RBACRunbooksHuman-in-the-loop

Map Your Workflow

We’ll identify the right agent boundaries, tools, and security model—then propose a phased rollout with measurable ROI.

Autonomous Agent FAQs

What do you mean by ‘Autonomous Agent Engineering’?
It’s building agents that can plan and execute multi-step work using tools (APIs, databases, code execution) with guardrails—not just a scripted Q&A chatbot.
Can this be self-hosted for data sovereignty?
Yes. For strict privacy or compliance we can deploy in your infrastructure (Docker/Kubernetes) with secrets management, network controls, and observability.
How do you keep agents from doing the wrong thing?
We scope tools, validate outputs, add approvals for high-risk actions, log every action, and implement fallbacks and throttling. The system is designed to fail safely.
Do you support multi-agent systems (MAS)?
Yes. We use router patterns to split responsibilities (triage, billing, support) and preserve context across agents so complex workflows remain stable and maintainable.