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Von is built for
Salesforce Admins

What can Von do for Salesforce Admins?

Org audit

Audit all flows, validation rules, and custom fields on the Opportunity object. Flag anything inactive or redundant.

Troubleshooting

Reps can't save Opportunities when changing Stage. Look at all validation rules on Opportunity and figure out which one is blocking them.

Create custom field

Create a picklist field called 'Renewal Risk Level' on Opportunity with values: Low, Medium, High, Critical.

Build a flow

Build a flow that auto-sets Renewal Risk Level based on days until renewal and recent call sentiment.

Flow debugging

This flow is throwing an error on Opportunity creation. Review the flow logic and tell me what's wrong and how to fix it.

Permission set audit

Audit all permission sets — who has access to what, and are there any over-provisioned users?

Full org documentation

Document our entire Salesforce org — objects, fields, flows, validation rules, automations. I need to hand this off to a new admin.

Bulk field cleanup

Find all custom fields on Account and Opportunity that have less than 5% population rate. Give me a cleanup plan.

“If you've ever spent time digging through undocumented customizations or trying to figure out which workflow is actually breaking a process (and why!), I truly can't recommend Von enough.”
Taylor Kelly
Head of Revenue Operations
Why not just use Claude or ChatGPT?

Von is built specifically for the needs of revenue teams

You already pay for general-purpose AI tools, so you could probably build this yourself. But those tools weren’t built for the specific needs of revenue teams.

Explore Build vs. Buy
Claude / ChatGPT
Von logo lockup
System connections
Each user sets up their own connections. Centralized access requires engineering to build and maintain an MCP server.
Admin connects once. Native, one-click integrations available to the entire org immediately.
Business context
Doesn’t know your fields, fiscal year, or churn definition. You write and maintain skill files for every use case.
Von builds a context graph in days. No skill files. Corrections from any user apply to everyone via org-wide memory.
Context limits
Even with a million-token window, 50 deals and hundreds of calls bury the middle. The model samples and gives you plausible guesses, not the full picture.
Pre-processes all unstructured data. Analyzes 10,000+ calls in a single query. Real answers, not sampled guesses.
Search quality
Limited to keyword search. Questions like “Why are we losing to competitor X?” return shallow answers.
True semantic search across all data. Deep answers on competitive losses, rep performance, and discovery patterns.
Enablement
Making it work for each persona is entirely on RevOps to figure out and maintain.
Von knows what works for every persona across 50+ companies. No training required from your side.
Timeline
3-6 months of engineering. You eventually assign 2-3 engineers full-time. Results uncertain.
Ready for the entire GTM team from day one. Productivity boost within two weeks.

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