---
title: "Agents"
description: "The agent workforce — prebuilt and custom AI agents for revenue operations, with an org chart of how they collaborate."
canonical: "https://vasco.app/agents"
---

# Every human gets a teammate. They start tomorrow.

AI agents grounded in your real revenue data. They tell you what's happening, why, and what to do next — without hallucinating on the numbers that matter.

Primary actions: [Start for free](https://my.vasco.app/get-started) · [Watch 2-min demo](/form-video)

## Why grounding matters: Claude + raw CRM vs. Vasco

Tested with the same five questions across five customer datasets, on two foundations. On raw CRM access via MCP, Claude sees only surface-level data and reports everything on track ("Pipeline on track, 102% of target, forecast confidence high") while every real risk goes undetected. Grounded on Vasco's Context Graph, the agent surfaces the truth: a **21% revenue miss** ($180,390 new ARR vs. a $240,000 target), nine stalled deals, a live customer at billing risk, competitor-displacement risk, and a qualification gap (34% SQL→SAL) — because it can reason across every system that matters. Claude+MCP scored **21.9%** accuracy on standard RevOps questions; agents on the Vasco Context Graph scored **99.5%**. The difference is structure, not the model.

## What changes for your team

Fewer fire drills, less data assembly, more time on decisions that move revenue. Vasco's agents map to a revenue org — leadership, sales, CS, marketing, and RevOps — and collaborate across it. Four industry benchmarks shift when every human has a teammate (modeled from Bridge Group, Pavilion, and RevOps Co-op research):

- Quota-to-OTE multiplier: ~4–5x → ~7–10x
- Manager-to-IC ratio: ~1:5 → ~1:10
- RevOps strategic time: ~30% → ~70%
- Decision velocity: days → minutes

For a $20–50M revenue company that models out to **$1.2M–$3.4M in annual impact** — [see the ROI for your company](/roi).

## Three teammates ready to start this week

Pre-trained on your Context Graph, live in minutes:

- **CRO/CEO Brief** (Executive Analyst) — a weekly revenue briefing: top issues, deals at stake, and the questions to ask.
- **Board & Investor** — board prep in minutes, with an investor-ready narrative and quantified risks.
- **ICP & TAM Discovery** (Marketing Analyst) — validate your ICP against real deal outcomes, size TAM per segment, and find where to double down.

Plus 19 more agents (Data Medic, Metric Analyst, Pipeline Reviewer, Churn Detective, Rep Coach, and others) in the [Agent Marketplace](/agents/marketplace).

## How it actually works

**Four capabilities that turn an LLM into a teammate** — without them you get confidently wrong answers; with them, 99.5% accuracy:

1. **Context Graph** — identity-resolved relationships across CRM, calls, tickets, and product usage.
2. **Metric definitions** — defined once, computed consistently; the same answer every time.
3. **Bowtie data model** — the full lifecycle from attract through expand, so agents see the whole motion.
4. **Plan** — targets, forecasts, and goals, so agents reason against what "good" looks like for you.

**Work modes:** human delegation (the agent surfaces what matters when it matters), scheduled runs on a recurring cadence, and agent-to-agent hand-offs (e.g. Data Medic notifies Metric Analyst).

**You stay in command:** agents propose, you approve. Every write is confirmed before execution and logged in an audit trail that shows exactly what data the agent saw and how it concluded.

## Custom agents

When the role doesn't exist yet, design it — or have Vasco build it with you:

- **Build it yourself** — describe the role in plain language; Gama generates the agent spec (objective function, KPI, job description, skills, data sources, tools); you review, tune, and deploy.
- **Have us build it** — Forward-Deployed RevOps experts embed with your team and go from spec to live agent in days.

Typical time-to-value: Day 1 for system agents (Data Medic), Day 1 for Metric Analyst once your plan is loaded, Week 1 for ICP Analyst once win/loss history is imported, and ~7–14 days for custom agents via Forward-Deployed RevOps.

## For agencies, fractionals, and consultants

Deploy Vasco as the infrastructure layer for every engagement: one multi-tenant workspace with a separate Context Graph, agent fleet, and permissions per client; switch clients without re-platforming. White-label QBR/WBR templates and playbooks. The partner program adds revenue share on client retainers, priority support, and a dedicated CSM. (LeanScale runs Vasco across client engagements like ReversingLabs and Paramify, cutting onboarding from weeks to days.)

## FAQ

- **How is this different from Claude + MCP?** MCP gives access; Vasco gives architecture. Same model, same questions: 21.9% accuracy on raw MCP vs 99.5% on the Vasco Context Graph.
- **What does "works out of the box" mean?** System agents run from day one; role agents come pre-trained on your Context Graph once your sources are connected.
- **Do I need a RevOps team?** No — Forward-Deployed RevOps can run the setup with you, and agents like Data Medic handle ongoing data hygiene.
- **How long until real output?** Day 1 for system agents; Week 1 for role agents that need history (e.g. ICP Analyst); ~7–14 days for custom agents.
- **What happens when our process changes?** The graph and definitions are versioned — update once, every agent reasons on the new reality.
- **How does it work for agencies?** One multi-tenant workspace, separate Context Graph and permissions per client (see the agencies section above).

## Get started

No setup fees, no engineering — first agent live in under 30 minutes.

- [Get started for free](https://my.vasco.app/get-started)
- [Book a demo](/request-demo)