The Problem
AI agents excel at reading and inferring, but when they write data across systems—updating subscriptions, creating products, modifying tax fields—they produce plausible-looking failures that slip through silently. No errors, no alerts, just data drift discovered weeks later in reconciliation. Teams are stuck choosing between slow manual verification (user burnout) or autonomous runs that corrupt data.
What We're Building
WriteGuard intercepts agent writes before they hit your systems, validates payloads against your schema and cross-system field mappings, catches conflicts pre-commit, reads back the data 2–5 seconds after write to verify it landed correctly, and surfaces drift immediately. Think of it as write insurance: your agents run autonomously, but nothing corrupts your data.
Who It's For
Finance ops and subscription management leads at mid-market SaaS companies (50–500 employees) running contract-to-cash or subscription renewal workflows; also insurance/legal operations teams automating policy updates across Salesforce, Stripe, NetSuite, and similar systems.
Key Features (Planned)
- Pre-write schema validation against your field mappings
- Post-write read-back verification (2–5s confirmation)
- Cross-system field mapping with ground truth anchors
- Real-time drift alerts and audit logs
- Atomic writes with rollback support across REST APIs
We're validating this idea before writing a single line of code. If this resonates with you, we'd love your feedback:
When your agents write to multiple systems (CRM, billing, accounting), how much manual verification do you currently need to trust the data arrived correctly?
Check out the concept page and let us know what you think.
Built by Jenavus — AI-powered business intelligence
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