Data
Walk in with the room already mapped.
The way in. The reason it is now. The full buying committee. One source-backed data product covering the account, the people, the decision group, the intro paths, and the next move. It runs on the Adrata AI Cloud, a unified data and reasoning backend built for revenue. Every deal starts with the room already mapped.
Account package
ServiceNow cloud workflow expansion
Decision group
8 roles
Intro paths
3 warm routes
Source confidence
92 average
Delivery
Report + API + MCP
Decision-room data
5 of 8 mapped
| Person | Role | Signal | Route |
|---|---|---|---|
| Sarah Mitchell | Champion | Cloud workflow owner | Expansion proof |
| James Wilson | Economic buyer | CISO office | Risk review path |
| Laura Bennett | Gatekeeper | Procurement intake | Packet early |
| Tom Henderson | Economic buyer | Finance owner | Budget case |
| Dan Murphy | Blocker | Platform engineering | Technical objection |
Every row carries provenance, confidence, and the next best use: report, CRM field, CSV, API object, MCP tool context, or a rep-ready action.
Package what you need
Not a contact list. The whole room.
A contact list tells you who exists. This tells you who decides, who blocks, who can open the door, and what to do about each one.
Decision unit
Economic buyer, champion, blockers, operators, procurement, finance, security, legal, executive sponsor, and uncovered people the deal likely needs.
People records
Current title, function, seniority, influence, buying role, contact options, profile links, career context, and confidence.
Company context
Firmographics, products, business model, market position, funding, hiring, locations, tech stack, and growth signals.
Intent and timing
Category interest, hiring surges, vendor changes, funding events, leadership moves, account activity, and urgency signals.
Intro paths
Routes through customers, investors, partners, alumni, teammates, executives, and known relationships.
Deal evidence
Coverage gaps, single-thread risk, champion strength, procurement path, likely objections, and next best action.
What comes back
Answers, not raw rows.
Structured like an endpoint response, written for the deal. Who matters, why it is now, how to reach them, and what to say. Every field carries its source.
Who matters
Sarah Mitchell · VP Cloud Infrastructure · champion · 94 confidence
Who is uncovered
Finance owner not engaged · procurement path unknown · security reviewer unmapped
Why now
ServiceNow cloud workflow hiring up · enterprise platform consolidation active
What changed
New funding, acquisition, hiring, leadership, product, and vendor-spend signals attached to the account
Team signal
Slack mentions, customer escalations, renewal risk, and executive asks resolved to the right company or deal
How to reach
Customer intro through implementation partner · strongest route to CISO office
What to say
Lead with operational risk, workflow consolidation, and Q3 migration pressure
Where it goes
CRM fields, report, CSV, API object, MCP context, and rep next action
Delivered where your team works.
Hand a rep a clean report. Push it into CRM. Give RevOps the source file. Or pipe it to your agents through API and MCP. Same data, every surface.
Before pipeline review
Know which committed accounts are missing finance, procurement, security, or executive coverage.
Before outbound
Give reps the account story, buyer map, intro route, and role-specific reason to reach out.
Before expansion
Find new buyers inside customers, map adjacent teams, and see who controls the next budget.
Agent-ready data
Made for the agents you already run.
The same AI Cloud, exposed for machines. Consistent objects, source-backed fields, scoped access, safe retries, and clear limits, so your agents act on facts instead of guessing.
Clean API objects
Consistent response shapes for accounts, people, buyer rooms, intro paths, reports, and exports.
Event-ready context
State changes can move into webhooks, queues, and internal workflows instead of manual refreshes.
Scoped MCP access
Give Claude, Codex, and internal agents the exact buyer-room data they need without opening the whole workspace.
Safe automation
Idempotent jobs, transparent limits, and durable exports for repeatable agent work.