Revenue AGENTS
DataviCloud Revenue AI Agents are purpose-built autonomous workers that monitor your entire GTM stack, detect opportunities and risks the moment they surface, and take action without waiting for a human to notice.
THE PROBLEM
Humans are reactive by nature. Revenue AI Agents are not. Here's what's slipping through the cracks every day without them.
OUR AGENTS
Each agent seals one specific revenue leak — then chains into a fully automated GTM play.
Phoenix :The Lead Recycler Agent
Phoenix continuously monitors your disqualified, churned, and cold leads for signals that indicate renewed buying intent. The moment conditions change — a funding round, a new hire, a competitor departure, or an annual renewal cycle — Phoenix surfaces the lead with full context and triggers re-engagement. No more manually sifting through dead deal folders. Every lead you've ever touched becomes a living asset in your pipeline.
Signals it monitors
Revenue impact
40–60%
of disqualified leads have recoverable intent
0 hrs
of manual research to re-qualify recycled leads
3×
higher conversion vs cold outreach to new prospects
Faster pipeline recovery
Deals reactivated and moved back to pipeline faste
Quorum :The Buyer Committee Mapper Agent
Quorum automatically maps the full buying committee for every active deal — uncovering the decision-makers, influencers, champions, blockers, and economic buyers your AEs haven't met yet. It monitors relationship coverage and surfaces multi-threaded engagement gaps before they become deal killers. Enterprise deals don't stall on price. They stall on people. Quorum ensures no stakeholder is left unmapped, and no conversation is left unhad.
How it builds the map
Revenue impact
6–10
stakeholders in avg. B2B enterprise deal
2.4×
higher win rate on multi-threaded deals
Real-time
committee map visible in every deal review
35%+
increase in deal coverage across key stakeholders
WinLens :The Win-Loss Analysis Agent
WinLens automatically synthesizes call recordings, CRM deal notes, exit feedback, and competitive intel after every closed deal — won or lost. It identifies the patterns that win deals and the ones that kill them, then turns those patterns into actionable playbooks your reps can use immediately. No more waiting for a quarterly review. WinLens delivers win-loss intelligence in real time, so your next deal benefits from your last one.
What it analyzes
Revenue impact
Auto
win-loss brief generated after every closed deal
Instant
playbook updates based on real loss patterns
→ PM
Buyer Committee map visible in every deal review
Clearer
visibility into why deals are won or lost
What we do
Every Revenue Agent follows the same core workflow — continuously, autonomously, at scale.
Connect:
Agents plug into your GTM stack via the DataviCloud Unified Identity Graph — CRM, email, call recordings, product data.
Monitor:
Each agent runs a specialised watch pattern across structured and unstructured data — 24/7, without manual triggers.
Reason:
Agents apply revenue-trained reasoning models to detect meaningful signals — not noise. Context is built before surfacing anything.
Act or Alert:
Agents trigger an action (CRM update, Slack alert, sequence enrolment) or surface a decision-ready brief to the right person.
Chain:
Agents connect into Agentic Workflows — multi-step GTM plays that run end-to-end with no human in the loop unless you want one.
AGENT ROADMAP
We're building a growing fleet of specialised agents across every stage of the GTM lifecycle. Here's what's coming.
FAQ
01
Dead leads aren't dead — just forgotten.
40–60% of your disqualified leads had legitimate intent. They stalled because of timing, budget cycles, or org changes. No one re-engages them systematically, and the pipeline stays cold.
02
You lose deals to people you never met.
B2B deals involve 6–10 stakeholders on average. Your AEs typically only have relationships with 1–2. Every unmapped decision-maker is a risk you're carrying into every forecast call.
03
You repeat the same losing patterns.
Win-loss data stays buried in calls, notes, and unread surveys. Without analysis, teams repeat objections, pricing errors, and competitive losses.