Lead Data Warehouse is an inbound AI phone agent for operations teams that need consistent caller records. Define the fields, naming rules and record destination for your workflow, then review how incomplete or repeated information should be handled. Confirm destination compatibility and mapping during setup.
Record check Check required call fields and destination mapping.
"Hi, I'm calling about pricing for a fleet plan — we run about forty trucks."
"Happy to help. Can I get your name, company, and the best number to reach you?"
"Dana Reyes, Northwind Logistics. This number's fine."
24/7
Always-on answering
100%
Calls captured as records
1 ring
Typical answer target
CRM · DWH
Piped to your stack
// how it works
The agent answers the moment a call lands, holds a natural conversation, and writes the outcome as a structured record. No handwritten notes, no dropped details, no data-entry backlog.
Provide 24/7 inbound answering with agreed intake rules. Review expected volume and overflow behavior during setup.
It greets the caller, answers questions, and gathers the details that matter: who, what, and how qualified.
Capture the agreed fields and confirm destination mapping, unknown values and duplicate-review rules before configuring delivery.
Use the supported destination agreed during setup and a defined human route for incomplete records or questions outside the routine path.
// capabilities
Everything the agent does is designed to produce clean, integration-ready data — not just to answer a phone.
24/7 inbound answering follows the greeting and intake your team approves, with configured handoff and exception paths.
The agent asks your qualifying questions and captures intent, budget, timeline, and contact details on the call.
Each conversation is written to consistent fields — no free-text notes to clean up, no missing columns.
Confirm supported destinations, field mapping and delivery behavior with your team, including who reviews failed or incomplete handoffs.
Repeat callers are matched, duplicates collapsed, and every field mapped consistently across high volume.
When a call needs a person, it transfers with full context — and the record follows the caller across the line.
// anatomy of a record
Agree on field meanings, allowed values and unknowns before configuring the record. Consistent structure supports review; it does not establish that every caller statement is complete or independently verified.
Fields, types, and mappings are configured to match your CRM and warehouse. What you see here is an illustrative default.
// schema is configurable per account
| contact_name | string | Caller name, captured on the call |
| phone | e164 | Normalized calling number |
| company | string | Organization, when provided |
| intent | enum[] | Tagged reason(s) for the call |
| qualified | bool | Meets your qualifying criteria |
| routed_to | string | Team or queue the call went to |
| summary | text | Concise conversation summary |
| captured_at | timestamp | When the record was written |
// why it matters
High inbound volume is an asset only if it becomes data. Voicemails, sticky notes, and half-filled CRM fields don't scale — and they can't be reported on, routed, or trusted.
Lead Data Warehouse helps operations teams define a consistent intake record. Agree on fields, destination requirements and exception ownership so the team can review what was captured and what remains unknown.
"You paid to make the phone ring. We make sure every ring becomes data you can use."
Structured
Capture agreed fields and useful original context, with missing information kept visible for review.
At volume
Built for high inbound flow: hundreds of concurrent calls captured with the same rigor as the first.
In your stack
Records land in the CRM, warehouse, and analytics you already run — mapped to your schema.
// integrations
Confirm the supported record destination and mapping. Define delivery checks and the manual review needed when a handoff cannot complete.
// Integration categories shown are representative — mappings are configured to your stack.
Plan your first workflow
Bring a fictional example of the information your downstream team needs.
Specify what each field means, its expected format and how to represent an unknown value.
Confirm the supported destination and mapping rather than assuming every system connects automatically.
Decide who reviews incomplete records, possible duplicates and delivery problems.
// get in touch
Tell us about your inbound volume and the systems you run. We'll show you exactly how each call would be captured and where the data would land.
Thanks for reaching out — your request has been logged and a member of our team will be in touch shortly.
// request captured · we'll reply within one business day
// join the team
We're growing the team that sells Lead Data Warehouse into higher-volume sales and ops teams. If you can show a data-driven revenue leader how every inbound call becomes clean, structured pipeline, we want to talk. Remote, base plus commission, and a product that sells itself once it's on a call.