01
Bring the evidence
Call recordings, scripts, SOPs, FAQs, CRM fields, quoting APIs, and the policies your top performer would need.
How a Refract agent gets built.
Refract is assembled from your evidence, your workflow, and your controls. The output is a voice agent that can converse naturally while still respecting process boundaries, calling the right tools, and handing off to a human when judgment matters.
Build process
Five steps from your data to a production agent.
02
Extract the playbook
We map objections, successful transitions, compliance language, customer profiles, and product facts into a grounded knowledge graph.
03
Compose the script
Your process becomes a step-by-step conversation flow with branch logic, goals, fields, recovery paths, and escalation rules.
04
Wire the tools
The agent calls your CRM, calendar, eligibility checker, quoting engine, payment flow, or webhook at the right moment.
05
Test and deploy
A live debug panel shows state, memory, grounding, and tool calls so your team can tune quickly before production traffic.
Capabilities
What Refract does that generic voice AI cannot.
Each of these is a hard requirement for production voice workflows. Generic AI skips most of them. Refract ships with all of them.
- Branching script execution with goal-based auto-advance
- Knowledge-graph-grounded responses from your real data
- Working memory with scoped, time-aware call context
- Tool gating so APIs are called only at approved steps
- Claim-evidence guardrails for sensitive facts
- Speaker diarization for background noise and barge-in handling
- Turn-timer silence handling with natural pause recovery
- Warm transfer with full context preserved
- Full transcript, audio capture, and JSONL audit logs
- Telephony-agnostic deployment across Twilio, LiveKit, and SIP
Outcomes
A practical 30 / 60 / 90 day arc.
The goal is not novelty. The goal is answer rate up, abandon rate down, speed-to-lead faster, compliance incidents reduced, and top performers freed from repetitive volume.
Day 30
First Refract workflow live in production with answer rate and drop-rate baselines moving.
Day 60
Knowledge graph tuned on top-performer patterns and QA scores matching or beating the current floor.
Day 90
Workflow scope expands and Refract handles meaningful volume while humans focus on the hard calls.
Start here
Bring the workflow, the data, and the tools. We will build the agent.
The best first conversation is about a specific process: what it does today, where it breaks down, and what a production agent would need to handle it.
Talk with us about Refract
Share your work email and the call workflow you want to fix. We will follow up to talk through fit, data readiness, integrations, and pricing.