Etaya

AI agent development

AI Agent Development Services | Etaya

Etaya designs AI agents that fit real business workflows — grounded answers, tool use, human handoff, and integrations with CRMs, docs, and ops systems instead of open-ended chat experiments.

Capabilities

What We Build With AI Agent

Customer support agents

Website and portal bots with approved knowledge, ticket routing, and escalation to humans.

Sales and lead agents

Qualification flows, CRM capture, and follow-up triggers tied to your pipeline stages.

Internal ops copilots

Agents that query SOPs, policies, and structured data to help staff respond faster with audit trails.

Tool-connected workflows

Agents that call APIs, update records, send alerts, and run multi-step tasks with review gates.

Use cases

Use Cases

  • 01

    Deflect repetitive support questions while keeping human handoff for complex cases.

  • 02

    Capture and qualify inbound leads on the website with CRM-ready summaries.

  • 03

    Help internal teams find answers across PDFs, Notion, and ticket history with source citations.

  • 04

    Automate status lookups and updates across tools your staff already uses.

  • 05

    Pilot a focused agent on one workflow before expanding across departments.

Why Etaya

Why Choose Etaya for AI Agent

Guardrails over gimmicks

We define allowed actions, fallback paths, and logging so agents stay accountable in production.

Integration-first design

Agents connect to CRMs, helpdesks, and data stores your business already relies on.

Measurable outcomes

We track resolution rate, handoff quality, and time saved — not demo-only conversation quality.

One team for AI and software

Etaya builds the surrounding web apps, APIs, and automation when agents need a full system.

FAQs

Questions about AI Agent work with Etaya

How is an AI agent different from a basic chatbot?

Agents can use tools, multi-step reasoning, and business rules across systems — within limits you approve. Basic bots often answer static FAQs only; agents handle tasks with oversight.

Can agents use our private documents safely?

Yes, with RAG and access controls so answers cite approved sources. We scope data boundaries and retention to match your compliance comfort.

What does AI agent development cost?

Cost depends on channels, integrations, knowledge volume, and review workflows. We quote a pilot scope first, then expansion phases once the agent proves value.

How long does it take to launch an agent?

A focused pilot on one use case often takes 4–8 weeks including knowledge setup, testing, and handoff rules. Broader rollouts follow successful pilots.

How do we get started?

Contact Etaya with the workflow you want to automate, systems involved, and success metrics. We map agent scope, guardrails, and a pilot plan on discovery.

Ready to deploy a practical AI agent?

Ready to deploy a practical AI agent?

Describe the workflow and tools involved. We will design an agent pilot with clear guardrails and metrics.