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Autonomous contact center

Resolve

An autonomous contact-center brain that handles voice and chat end to end — intent routing, authenticated tool-use against billing, CRM, and network systems, and guardrailed writes with supervisor approval for high-risk actions.

Intents it handles
Billing disputePlan changeOutage reportRefund requestAddress updateCancellation risk
chatvoiceResolveagentBillingCRMNetworksupervisor approval for high-risk
Overview

Resolve is a customer-experience product built on UAP. It does not just suggest replies for a human agent to send — it resolves interactions end to end across voice and chat. It identifies and authenticates the customer, routes intent, executes tool-use against billing, CRM, and network systems, and performs guardrailed writes, escalating only high-risk actions to a human supervisor. Every action is traced, cost-bounded, and policy-checked.

What it does

01

End-to-end resolution

Handles the interaction from intent to action — not draft suggestions a human still has to send.

02

Voice & chat

Genesys chat and Twilio voice adapters run on the same underlying brain.

03

Fast intent routing

A Claude Haiku router returns structured-JSON intent within a tight latency budget.

04

Identity & auth

A pre-processor strips PII and scores trust; an auth gate handles OTP before sensitive actions.

05

Guardrailed tool-use

A Sonnet resolver loops over billing, CRM, and network tools; every write is JSON-schema validated and policy-checked.

06

Supervisor approvals

High-risk actions — such as a credit above a ceiling — pause for a supervisor in a live approval queue.

The agent graph
  1. 1

    PreProcessor

    Identity, trust scoring, and PII strip.

  2. 2

    Router

    Haiku returns structured intent JSON under a tight budget.

  3. 3

    AuthGate

    OTP verification before any sensitive action.

  4. 4

    Resolver

    Sonnet tool-use loop against billing, CRM, and network.

  5. 5

    Response

    Assembles the reply; high-risk writes pause for approval.

By the numbers
<8s
target end-to-end for the reference scenario
<$0.20
target model cost per resolution
$30 ceiling
guardrailed — an $18 credit auto-approves

Design targets from the reference credit scenario.

Built with
UAP (platform_core)Claude Sonnet / HaikuGenesys (chat)Twilio (voice)Amdocs + Salesforce connectorsFastify supervisor UIFine-tuned Router (shadow)
Where it is

In development on UAP toward the reference scenarios: Amdocs and Salesforce connectors, the guardrailed credit flow, Genesys chat and Twilio voice adapters, a Fastify supervisor UI with a live approval queue, and a fine-tuned Router in shadow mode — targeting pilot contact-centers.

FAQ

Good questions.

Is this a copilot for human agents?

No. Resolve handles interactions end to end and takes real actions, escalating only high-risk steps to a human supervisor — not the other way around.

How do you stop it making a costly mistake?

Deterministic guardrails and JSON-schema validation gate every write, with policy ceilings such as credit limits. Anything above the ceiling pauses for supervisor approval.

Can it work with our existing systems?

Yes — it connects to billing (e.g. Amdocs), CRM (e.g. Salesforce), and network systems through normalized connectors, and to Genesys and Twilio for chat and voice.

Built on these capabilities

See Resolve on your systems.

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