ACCOUNT INTELLIGENCE + OUTREACH
Research with evidence.
Act with judgment.
Reduce research friction without turning account intelligence into weak-source summaries, fabricated personalization or automated noise.
WORKFLOW PILLAR
01
PRIMARY OUTPUT
EVIDENCE-BACKED ACCOUNT BRIEF
01 / INPUT
Collect only what the job needs.02 / ANALYZE
Use AI where synthesis helps.03 / VERIFY
Check the evidence.04 / APPLY
Keep the decision human.05 / RESULT
EVIDENCE-BACKED ACCOUNT BRIEFOPEN A USE CASE
Where AI can help without taking over.
Each use case stays tied to a real artifact or control point rather than an abstract capability claim.
01 / Account briefs
Turn public and approved sources into a decision brief with citations, unknowns and a research trail.
ARTIFACT / ONE-PAGE ACCOUNT BRIEF
02 / Prioritization
Rank target accounts with visible criteria, confidence markers and a manual override rather than an opaque score.
CONTROL / RANKING LOG + OVERRIDE
03 / Buying committees
Build role hypotheses without inventing reporting lines, influence or stakeholder relationships.
ARTIFACT / HYPOTHESIS MAP
04 / Trigger research
Detect material public signals, verify date and source, reject noise and turn the signal into a question.
ARTIFACT / TRIGGER DIGEST
FAILURE MODE / WATCH THIS
Personalization can become fabrication.
Public signals and role hypotheses are useful only when their source and uncertainty remain visible. The workflow should reject weak-source summaries, invented relationships and outreach claims the seller cannot defend.
HUMAN AUTHORITY / REQUIRED
AI prepares. People decide.
The seller still owns which accounts deserve attention, what a public signal actually means, whether outreach is relevant and what is appropriate to say to a real buyer. AI can organize the evidence; it should not invent personalization or send outreach autonomously.
