ABM done properly
Lead intelligence & CRM
Refine the ICP against what actually closed, discover look-alike accounts, enrich with competitive context, find the buying committee, and push to HubSpot behind an approval gate.
agents
6
systems it reads
6
live dashboards
1
also
3 capabilities
The agentsreasoning modelfast modelfast modelfast modelfast modelreasoning model
One specialist per job, in the order they usually run.
lead-icp-refine
ICP refine
Stated ICP versus the revealed ICP in closed-won and pipeline.
lead-account-discovery
Account discovery
Scored look-alike accounts, incremental to what is already on file.
lead-account-enrichment
Account enrichment
Competitors, positioning gaps and a why-now for each approved target.
lead-contact-discovery
Contact discovery
The buying committee per account, GDPR-flagged before any personal enrichment.
hubspot-hygiene
HubSpot hygiene
Duplicates, stale owners and broken lifecycle stages, with a cleanup plan.
hubspot-implementation
HubSpot implementation
A phased rollout plan for a CRM proposal, tagged automatable versus manual.
also in this discipline
Review dashboard + editable target SheetTwo-phase HubSpot push with session rollbackLive deal-pipeline dashboard
Live interfaces
What the client opens.
Systemsrequiredrequiredrequiredoptionaloptionalrequired
What this discipline reads and writes.
HubSpot
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✓ already in your stack
AI answer engines (ChatGPT, Claude, Perplexity, Gemini)
Nexus brings it
✓ already in your stack
Apollo
Nexus brings it
✓ already in your stack
People Data Labs
Nexus brings it
✓ already in your stack
Google Places
Nexus brings it
✓ already in your stack
Google Drive
Nexus brings it
✓ already in your stack
Addresses: Build pipeline from the right accounts
Evidence for this discipline
6 agents in this discipline49 agents in the registry20 live dashboards6 governance claims with code behind them
System facts are generated from the same model this page renders from. Client work appears here only with the client’s written consent, so live dashboards are never linked.
Machine twin: /disciplines/demand.json · /nexus.json · /llms.txt
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