Retention
Subscription-cancellation analysis
Surfaces the language, timing, and reasons behind churn calls — so retention teams see why customers leave, not just that they did.
AI Workersfrom Level AI
Build an AI worker for the role only your team knows how to define.
Design AI workers for roles specific to your business, using the same conversation intelligence, integrations, and data access that power Level's existing workers.
- Same conversation intelligence that scores, tags, and structures every interaction.
- Same integrations across CRM, helpdesk, WFM, and BI.
- Platform-level governance, access controls, and audit logging.
Waitlist open
Get early access
Scope your worker with the Level AI team.
01 / What it is
A worker that knows your business from the start.
Level AI ships AI Workers for QA, coaching, conversation research, and VoC. Build Your Own Worker extends the same platform to roles those defaults do not cover.
Every worker starts with your context already loaded. Not a blank prompt, not a generic template.
02 / What you can build
Roles teams are designing for today.
Risk
Fraud-investigations worker
Pulls suspicious-pattern signals from voice and chat, mapped to the cases and queues your investigations team already runs.
Quality
Custom quality programs
Tuned to score against criteria the standard QA Worker does not cover — your rubric, your weights, your exceptions.
Research
Competitive intelligence tracker
Monitors mentions of competitors, products, and pricing across every conversation so market research is continuous, not quarterly.
Compliance
Regulatory-script adherence monitor
Flags deviations from required disclosures and regulatory scripts in real time — per jurisdiction, per product line.
Coaching
Product-knowledge gap detector
Identifies where agents are misrepresenting features or pricing — and pipes gaps directly into coaching workflows.
03 / How it works
Same building blocks. New role.
01
Define the role
Describe the worker's scope: what it monitors, what it surfaces, who it reports to.
02
Connect your data
Your conversation intelligence layer, CRM, helpdesk, and BI sources are already connected through Level AI.
03
Tune the logic
Map your rubrics, weights, queues, and customer segments. The worker inherits your existing data structure.
04
Deploy with governance
Access controls, audit logs, and data residency apply the same way as the rest of Level AI from day one.
04 / Who the waitlist is for
Built for operators where generic tools are not enough.
Enterprise CX & Ops
Enterprise CX, operations, and customer-centric teams
Running contact centers on conversation data, with use cases that go beyond what a standard QA or coaching worker covers. Looking to evaluate Build Your Own Worker as part of an initial Level AI engagement.
Internal tooling teams
Teams working against transcripts today
Already building analyst tools or internal copilots on raw transcripts, and looking for a platform that handles the data layer, integrations, and governance so they can focus on the role logic.
05 / Frequently asked
Questions before you apply.
Why not just connect an LLM to our call transcripts?
A raw transcript is unstructured text. Build Your Own Worker reads from a conversation intelligence layer where every interaction is already scored against your rubrics, tagged by intent and topic, and mapped to your org. The result is a worker that runs on structured business context, not a chat interface over raw files. For operators and businesses where generic LLM tools are not sufficient, that is the difference between a prototype and something production-ready.
Do I need to be a Level AI customer to join?
No. The waitlist is open to teams evaluating Level AI for the first time. Fill in the form with the role you want to build, and the team will work through the use case with you directly.
What kinds of workers fall outside scope?
The platform runs on contact center conversation data. Workers that need data sources Level AI does not ingest, or actions outside the existing integrations, are out of scope. The intake form gives the team enough detail to confirm fit before your access window.