The Problem
AI agents writing to your billing, CRM, or accounting systems look successful but fail operationally. A subscription date off by one day. A product created instead of updated. A tax amount in the wrong field. No errors, no alerts—just drift discovered weeks later in reconciliation. HITL catches it but kills velocity. Prompting doesn't hold.
What We're Building
WriteGuard sits between your agent and downstream systems as a verification layer. Before any write executes, it validates: the target field exists and accepts that data type, the source value matches the schema, no conflicting writes are in flight, and the field mapping is correct across systems. Every write is logged and queryable. You get automated correctness checks without manual approval bottlenecks.
Who It's For
Operations leads and finance automation engineers at mid-market companies (50–500 employees) in fintech, healthcare billing, insurance claims, and supply chain — anywhere a single write error costs $10k+ in reconciliation labor.
Key Features (Planned)
- Pre-write validation: confirm field exists, data type matches, no conflicting writes in flight
- Cross-system schema mapping: learn and verify relationships between Stripe, Salesforce, NetSuite, QuickBooks, and custom APIs
- Audit log: queryable record of every write attempt, result, and field change for compliance and debugging
We're validating this idea before writing a single line of code. If this resonates with you, we'd love your feedback:
When your agent writes to Stripe, Salesforce, or QuickBooks, how often do you discover mismatched data during reconciliation—and how many hours does that take to fix?
Check out the concept page and let us know what you think.
Built by Jenavus — AI-powered business intelligence
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