System/Integrations/Integration
Warmly
Intent & enrichment
Anonymous traffic on a website used to disappear into a log file. Warmly de-anonymises the companies visiting a site, and Revenue Labs reads that visit data into account-level signal, so a spike in named traffic shows up on the account record.
Website
From source record to operating state
01 | The tool on its own
Visitor identification turns visits into accounts.
↓
02 | With AI bolted on
Visitor scoring stays in Warmly.
↓
03 | A system that learns
Visitor context enters shared state.
The tool alone > AI bolted on > AI-native
What changes when Warmly feeds a system that learns
Three jobs Warmly already does, and what each becomes when its evidence joins live company, contact and deal state.
01 | The tool on its own
02 | With AI bolted on
03 | AI-native
Person and company visits
Visitor identification turns visits into accounts.
Warmly identifies website visitors at person and company-level and shows the context around the visit. A rep still checks the match, judges intent, and decides whether to engage.
Visitor scoring stays in Warmly.
Warmly's AI and intent views stay within website and enrichment context. They do not connect the visitor to full conversation, deal history, or later outcome.
Visitor context enters shared state.
Warmly visitor signals enter shared state with the company, contact, and deal context needed by other capabilities.
Inbound agent and chat
Inbound chat captures a live buying conversation.
Warmly's inbound agent and chat can engage website visitors, answer questions, and route conversations. An owner still sets the guardrails, reviews handoffs, and owns the follow-up.
Inbound chat stays in Warmly.
Warmly's agent uses its configured website and routing context, without a trace of the conversation in the wider deal or the handoff it produced.
Conversation gains deal context.
Buyer conversation can be read with contact and deal evidence before the next action is selected.
Routing and intent
Routing sends interested visitors to the right team.
Warmly can score intent and route visitors or conversations according to rules. A manager still defines the routes, checks exceptions, and decides what a qualified handoff means.
Route recommendations stay in Warmly.
Warmly's route uses its signal and configured rules; cross-system evidence of which routing decision led to a real deal outcome remains absent.
Next route keeps what worked.
The system learns which visitor route and conversation context appeared before a win, loss, or stall, then guides the next handoff.
Runs on it
Capabilities that act on connected evidence
BUILT FOR SECURITY, CONTROL AND SCALE
Connect data securely, capture every agent's activity, and enforce permissions with ease.
Learn about our security →CERTIFIED + COMPLIANT WITH:
ISO 27001:2022
GDPR
CCPA
Data Protection Act 2018
The GTM teams that learn fastest will win.
Connect your stack to a system that learns.