SchemaBob
Legacy systems + governed AI

Infuse your existing data systems with AI — without losing control.

SchemaBob connects into legacy databases, operational applications, spreadsheets, files, APIs, and custom data stores, then wraps that data with schemas, permissions, workflows, audit trails, and AI agents that can safely act on it.

Keep the systems that run your organization. Add the governed AI layer they were missing.
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Benefits before features

Bob turns AI into organizational  progress.

Faster decisions, safer execution, accountable work, and software your team can actually run.

For leaders

Answers you can defend from your data.

Bob connects AI output to governed data, roles, approvals, and history so decisions come with context instead of guesswork.

For operators

Less manual drag.

Routine work becomes structured workflows: campaigns, approvals, dashboards, pages, translations, reports, QA, and follow-up.

For technology

Control without blocking AI.

Permissions, schemas, audit trails, deployment controls, and versioning let teams say yes to AI without losing governance.

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.

Why legacy integration matters

Most organizations already have the data. SchemaBob makes it usable by AI.

Connect to existing sources

Bring together legacy databases, internal applications, APIs, CSVs, spreadsheets, document stores, and operational records without forcing a rip-and-replace project.

Wrap messy data in schemas

Turn disconnected tables, fields, documents, and business definitions into structured models that AI agents can understand, query, and use consistently.

Preserve permissions and boundaries

Role-based access, ACLs, sensitive-field controls, and data boundaries decide what each person and AI agent can see or change.

Automate across systems

Route approvals, generate reports, trigger communications, update records, build dashboards, and coordinate workflows across older systems and new applications.

Keep an audit trail

Every AI-assisted answer, change, approval, deployment, and workflow can be tied back to source data, users, timestamps, and version history.

Ship production software

Move beyond chat demos into governed internal tools, customer portals, websites, dashboards, and workflow applications connected to real operational data.

The integration layer

SchemaBob meets your data where it lives.

  • Connect legacy systems, remote databases, APIs, files, and existing business records
  • Map source data into governed schemas and relationships
  • Expose safe, role-aware AI actions on top of operational data
  • Create dashboards, workflows, communications, and internal apps from the same data layer
  • Support phased modernization without replacing everything first
The guardrail layer

AI can help without becoming an uncontrolled side channel.

  • Permissions and ACLs travel with the data
  • Sensitive fields can be hidden, constrained, or workflow-gated
  • Approvals govern actions that change records or publish externally
  • Logs, commits, and audit trails make AI work accountable
  • Production deployment controls keep prototypes from becoming unmanaged risk
Start practical

Pick one legacy workflow and make it AI-ready.

A good first project is a high-value workflow that already depends on legacy data: reporting, customer service, budgeting, approvals, compliance evidence, case management, operations reviews, or executive summaries.

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