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Governed AI for Organizations
Governed AI for organizations
AI Guardrails your organization can trust.
Guardrails and Auditing live within the platform, not within the prompts.
SchemaBob connects legacy data systems, people, workflows, applications, and AI into one governed operating layer — with AI, permissions, schemas, audit trails, and production controls built in.
AI designed for existing systems
What is Governed AI for legacy data?
AI operates inside your organization’s permissions, schemas, workflows, data boundaries, audit trails, and production controls — even when the source data lives in legacy systems.
AI respects role-based permissions and ACLs.
Solves unauthorized access and the fear that AI will expose legacy data to the wrong people.
Legacy data is structured by schemas.
Solves disconnected tables, inconsistent data definitions, and unreliable operational answers.
Actions are constrained by workflows and approvals.
Solves accidental sends, unauthorized changes, uncontrolled publishing, and process risk across systems.
Changes are logged, versioned, and auditable.
Solves “who changed what, when, why, and can we roll it back?”
Sensitive fields and data boundaries are enforced by software.
Solves confidential customer, finance, HR, student, operational, and regulated-data risk.
AI work can move into production controls.
Solves the “is this just a demo?” objection with deployment, security, maintainability, and operations.
Benefits before features
Bob turns AI into organizational progress.
Faster decisions, safer execution, accountable work, and software your team can actually run.
Move faster
From question to approved action.
Reduce risk
Boundaries live in software.
Keep evidence
Logs, commits, and audit trails.
Ship outcomes
Apps, sites, dashboards, and workflows.
Platform capabilities
One governed AI platform for legacy data and organizational software.
SchemaBob connects existing systems to production-ready applications, workflows, sites, dashboards, and communications that respect your data and roles.
Legacy data integration
Connect, import, query, and update data across databases, APIs, files, spreadsheets, and older operational systems.
Governed AI schemas
Wrap existing data in models, relationships, permissions, and field boundaries AI can safely understand and use.
Workflows
Automate campaigns, invoicing, QA, approvals, interventions, reports, and cross-system business processes.
Websites & deployment
Build and publish production websites and applications with built-in ACLs and security.
Dashboards & visualizations
Create operational screens and decision dashboards on unified data in real time.
AI translations & i18n
Use AI-powered localization for global-ready content, messages, and applications.
AI respects ACLs
Agents operate within roles, schemas, permissions, approvals, and data boundaries.
SOC2-ready controls
Auditability and operational patterns designed for enterprise readiness.
AWS / CloudFront publishing
Publish production sites and applications directly to cloud infrastructure.
Needs discovery
Book a needs discovery call.
Ready to get started? Share your email and we’ll map one high-value workflow, the data boundaries around it, and the first governed implementation path.
Use cases
Governed AI for the data systems you already have.
SchemaBob helps organizations connect legacy systems, structure their data, and safely add AI-powered workflows, dashboards, communications, and applications.
Featured
See how SchemaBob helps you integrate AI into Legacy Systems
Connect existing databases, files, APIs, and operational tools to governed AI with schemas, ACLs, workflows, audit trails, and production controls.
Operational reporting
Turn legacy data into source-backed summaries, board-ready reports, dashboards, and decision workflows.
Customer and member operations
Use AI to help teams answer questions, update records, route approvals, and trigger follow-up while respecting permissions.
Finance and budgeting
Model assumptions, connect actuals, surface variances, and preserve an audit trail for AI-assisted analysis.
Compliance evidence
Map source records, documents, approvals, and narratives into evidence workflows that AI can help assemble safely.
Start with one workflow
Pick one legacy-data workflow, define permissions and data boundaries, then prove governed AI with measurable value.