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.
Connect Claude to your CRM & GTM Stack. Watch it confidently get the numbers wrong.
We tested. Same five questions. Same five customer datasets. Two foundations.
Pipeline health is stable. MQL→SQL strong at 75%. On track for quarterly target.
✓ Pipeline on track · 102% of target
✓ No major risks flagged
✓ Forecast confidence: high
Claude sees only surface-level CRM data, reporting everything is on track — while every real risk goes completely undetected.
Revenue miss: $180,390 new ARR vs. $240,000 target (21% miss). 9 stalled deals. 1 live customer at billing risk. Competitor displacement risk at Meridian. 34% SQL→SAL — qualification review needed.
⚠ Pacing 79% · 21% structural miss
→ Driver: SAL→SQO drop in EMEA (−31%)
→ Watchlist: 4 deals at risk · $480K
Claude surfaces a 21% revenue miss, a live billing failure, stalled pipeline, and competitor threats — because it can see across every system that matters.
What changes for your team
Less fire drills. Less data assembly. More time on decisions that move revenue. Each tier below maps to the org chart above — click a tier to spotlight it.
Explore all agentsWhat does this do to your numbers?
Four industry benchmarks shift when every human has a teammate.
See the ROI for your company4-5x → 7-10x
Reps sell, not prep. Assistants handle the rest.1:5 → 1:10
Managers leverage agents on coaching and review.30% → 70%
Out of the report factory. Into data strategy.Days → Mins
Chief of staff in your pocket.Modeled from Bridge Group, Pavilion, RevOps Co-op research.
Three teammates ready to start this week.
Pre-trained on your context graph. Live in minutes.
Weekly revenue briefing, top issues, deals at stake, and the questions to ask.
Board prep in minutes. Investor-ready narrative with quantified risks, opportunities, and recommendations.
Validate your ICP against real deal outcomes, size your TAM per segment, and know where to double down.
How it actually works.
The foundation that keeps agents accurate. The modes that keep work flowing. The principle that keeps you in command.
Four capabilities that turn an LLM into a teammate.
Without them, you get confidently wrong answers. With them, you get 99.5%.
Context Graph
Identity-resolved relationships across CRM, calls, tickets, and product usage.
Co-branded deliverables
Definitions enforced once, computed consistently. Same answer every time.
Bowtie Data Model
Full lifecycle from attract through expand. Agents see the whole motion.
Plan
Targets, forecasts, goals. Agents reason against what good looks like for you.
Human delegation
Agent surfaces what matters when it matters. Time from signal to decision: days → minutes.
Scheduled
Agent runs on a recurring cadence. Replaces old-style automation with intelligence.
Agent-to-agent
Agents hand off work. Data Medic notifies Metric Analyst. Where outcomes compound.
Agents propose. You approve.
Every action is reviewable. Writes are confirmed before execution. The audit trail proves it.
When the role doesn't exist yet — design it. Or have us build it with you.
Build it yourself
Describe the role in plain language. Gama generates the agent spec. You review, tune, deploy.
Every custom agent uses the same spec framework: objective function · KPI · job description · skills · data sources · tools.
Have us build it with you
Forward-Deployed RevOps experts. Embedded with your team. From spec to live agent in days.
Run your client work on Vasco.
Fractionals, agencies, and consultants deploy Vasco as the infrastructure layer for every engagement. One context graph per client. Compress weeks of audit into days. Sell advisory on top.
Multi-tenant workspace
One Vasco workspace, every client deployment. Switch between clients without re-platforming. Free workspace for partners.
Co-branded deliverables
QBR templates, WBR automation, implementation playbooks. Your brand, our infrastructure. White-label what makes sense.
Partner program
Revenue share on client retainers. Priority support. Dedicated CSM. Vasco becomes part of your revenue model, not a referral.
"We run Vasco across every client engagement. One workspace, multiple deployments. Onboarding goes from weeks to days because the context graph does the heavy lifting before we walk in."
Questions buyers actually ask.
Raw MCP gives an LLM a window into your CRM, but no shared definitions, no plan context, no identity resolution across systems. We tested both: Claude+MCP scored 21.9% accuracy on standard RevOps questions; agents grounded in the Vasco context graph scored 99.5%. The difference is structure, not the model.
Pre-built agents (Data Medic, Metric Analyst, Pipeline Reviewer, etc.) ship with sensible defaults harnessed to your context graph. Connect your CRM and one of two things happens: the agent runs immediately if it has what it needs, or it tells you exactly what's missing. No prompt engineering required.
No. The two-path model exists for exactly that reason. Self-serve works if you have a RevOps lead who can connect data sources and approve agent permissions. Forward-Deployed RevOps embeds with your team if you don't, and hands you a working setup in days, not months.
Day 1 for system agents (Data Medic auto-discovers issues the moment data lands). Day 1 for Metric Analyst once your plan is loaded. Week 1 for ICP Analyst once you've imported win/loss history. Custom agents through FDR: typically 7–14 days from kickoff.
Agents reason against your plan and your definitions, both of which are editable. Update the plan, the agent updates with it. No retraining, no re-prompting. Process changes that touch the data model itself are FDR-supported.
Agents propose, you approve — every write is confirmed, every action is logged in an audit trail. If an agent's reasoning is off, you'll see it in the proposal before anything reaches your CRM. The audit log shows exactly what data the agent saw and how it concluded.
One Vasco workspace, multiple client deployments. Each client gets their own context graph, their own agent fleet, their own permissions. Partners get a free workspace, revenue share on client retainers, and dedicated CSM support. See the agency section above.
Hire your team.
No setup fees. No engineering needed. First agent live in under 30 minutes.