Platform – Agent Builder

Build reliable AI agents fast and easy.

Parloa's agent builder capabilities make it possible for anyone to design and deploy reliable AI agents that hold up at enterprise scale, without code or having to rely on a team of developers.

Agent Blueprint

Build once. Deploy everywhere.

Agent Blueprint lets you maintain a unified agent definition as a single source of truth, with core capabilities that work in any environment.

  • Automatic agent updates

    Core agent behavior is updated instantly across deployed agents; no manual rework needed.

  • Per-market settings

    Local variation, like store hours, are managed as per-market settings, not code changes.

  • Simulate & evaluate

    Simulate & evaluate conversations so you know exactly how agents will behave.

Word file SOP.docx being dragged into the Upload Knowledge field in Parloa

Meet Parloa Navigator

Your team’s AI agent building expert.

Stop wrestling with blank prompt pages and expertise bottlenecks. Navigator acts as your team’s intelligent design partner, turning natural language guidance and your existing SOPs into production-ready agents in minutes.

Subtask Agents

Specialized agents that work together on complex workflows.

With Parloa, agents remain fast and reliable, even as conversations get more complex, by splitting the work across a coordinated team of focused specialists.

  • Task-focused agents

    Complex workflows are broken down and divided among task-focused agents.

  • Deterministic routing

    Configurable and deterministic routing between agents deliver a seamless customer experience.

  • Low latency at scale

    Fewer instructions per turn keeps latency low and accuracy stable as volume grows.

Agent Skills

One-click connectors. No IT heavy lifting.

Agent Skills are built on Model Context Protocol (MCP), the open standard for how AI agents easily connect to enterprise systems.

  • Configure once

    Skills are configured once and become instantly available to every agent in your fleet.

  • Self-healing connections

    Deterministic connections self-heal, keeping agents working when something goes wrong.

  • KPI-driven optimization

    Agent skills are measured, tracked, and optimized against real business KPIs.

Context Intelligence

Convert customer context into revenue, one conversation at a time.

Context Intelligence turns every interaction into the next revenue opportunity by remembering what customers have already shared in the next conversation.

  • Personalized interactions

    Maximize retention, cross-sell, and first-call resolution via personalized agent interactions.

  • Relevant context

    Surface what’s most relevant to customers to make them feel understood.

  • Governed personalization

    Personalization stays within the guardrails of governance; auditable and deletable on request.

85% customer satisfaction and no wait times

Berlin Brandenburg Airport went from conception to go-live in under six weeks, launching an agent that now handles calls in four languages around the clock, with 85% customer satisfaction and no wait times

Terminal hall at BER Airport

Resolving 500,000 calls in six months

Schwäbisch Hall's AI agent handles 16 distinct use cases within a single call flow — from dialog-based authentication to autonomous account updates to FAQs — resolving 500,000 calls in six months with 98% intent recognition accuracy.

Schwäbisch Hall office building with logo

Stop waiting on experts to build your AI agents.

90%

workload reduction at the switchboard

60%

customers reported a stronger relationship

Go from idea to production-ready agent, fast and easy with Agent Builder. Discover what your team can build.