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ABM Strategist Agent
Specialist Agent · Replaces hundreds of hours of manual campaign ops
For every account in the target list, monitor for buying signals weekly. When an account crosses the intent threshold, auto-build a full campaign, personalized ads, a unique email sequence for each persona in the buying committee, and a briefing doc for the AE. No account gets a generic touch.
Account
SIGnal
stage
commıttee
Acme Corp
High intent
92
CISO
VP Eng
CTO
Globex Inc
Engaged
92
CMO
VP SALES
Initech
Warming
92
cro
Dır ops
Umbrella Co
High intent
92
ceo
cfo
cto
AE Brıefıng - acme corp
buyıng commıttee
CISO (new hire), VP Engineering, CTO
key sıgnal
Series C closed 3 weeks ago ·
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ABM Strategist Agent
Live campaigns for every target account, built from signals
Research Analyst
Specialist Agent · Replaces hundreds of hours of manual campaign ops
Competitive Intelligence
Competitor monitoring: pricing, launches, hiring, reviews
close deals
Meeting Brief
Full briefing doc before every call, automatically
Score Leads & Accounts
Multi-factor scoring in real time against the graph
Inbound SDR
Form fill to fully enriched, scored, routed lead in 30 seconds
Grow Customers
Churn Prevention
Rising ticket volume + upcoming renewal = flagged before anyone notices
Expansion Intelligence
Usage patterns that signal upsell timing
Customer Health Score
Engagement, support, usage, and sentiment in one score
operate
CRM Hygiene Expert
Duplicates, stale data, missing fields — cleaned and kept clean
Sync CRM Data
Bidirectional sync with conflict resolution
Track Job Changes
Champions who leave open opportunities at both firms
Brief
Data cleaning
Sequencing
Approval chains
Back-and-forth
Enrichment
Personalization
QA
Reporting
Launch
Segmantation
Platform setup
List pulls

After
Brief
Launch
Data Waterfall
150+ enrichment providers. Sequential routing optimized per segment. The best answer wins. No vendor lock-in.

Agent Engine
Open-source execution engine. Workflows defined in code. Human-in-the-loop checkpoints. Full audit trail on every action.

Revenue Ontology
Every data source normalized into one model. Entity resolution across systems. Relationships stored, not inferred. Schema that evolves with your business.

import { BaseAgent } from "@lantern/agents";
import { RevenueOntology } from "@lantern/ontology";
import { IntentScorer } from "@lantern/signals";
import { CampaignBuilder } from "@lantern/campaigns";
export class ABMStrategyAgent extends BaseAgent {
/**
* Monitors target accounts for buying signals and
* auto-builds personalized campaigns when intent spikes.
*/
constructor(ontology, { threshold = 0.75 } = {}) {
super({ name: "abm_strategist" });
this.ontology = ontology;
this.scorer = new IntentScorer();
this.threshold = threshold;
this.builder = new CampaignBuilder();
}
async run(accountId) {
const account = await this.ontology.getAccount(accountId);
const signals = await this.ontology.getSignals(account);
const committee = await this.ontology.getBuyingCommittee(account);
const score = this.scorer.evaluate(signals);
// Every decision is auditable
this.logReasoning({
step: "intent_evaluation",
inputs: { signals, accountId },
output: { score, committeeSize: committee.length },
confidence: this.scorer.confidence,
});
if (score < this.threshold) {
return this.skip(account, {
reason: `Score ${score.toFixed(2)} below threshold`,
});
}
// Build personalized campaign for each persona
const campaign = this.builder.create({
account,
committee,
channels: ["linkedin_ad", "email_sequence", "landing_page"],
});
for (const persona of committee) {
this.logReasoning({
step: "persona_personalization",
inputs: { role: persona.role, signals: persona.signals },
output: { contentVariant: persona.role },
confidence: this.scorer.confidence,
});
campaign.addVariant({
persona,
ad: await this.builder.generateAd(account, persona),
emailSequence: await this.builder.generateEmails(account, persona),
briefingDoc: await this.builder.generateAEBrief(account, persona),
});
}
// Nothing ships without human approval
await campaign.submitForReview();
return campaign;
}
}
engine/agents/abm-strategist.ts
open source engıne
Sıngle tenant
Your data
Your models
Your agents
Acme Corp
TriNet monitors 4M+ businesses with Lantern’s AI agents — surfacing TAM signals and opportunities before competitors see them.
WordPress generated $2.1M in pipeline in the first 90 days using Lantern’s agents.
150+
95%
150+
3B+
