Ephemeral compiler
Read abstract schema structures and generate generic tool blueprints. Zero live company data is sent to PandaBear’s cloud.
Blueprints onlyFinal architecture blueprint
Zero data leakage.
Remove bureaucratic friction.
Empowering employees.
PandaBear connects legacy ERPs, databases, documents, and internal tools through one governed AI layer. Employees can find the context they need and move work forward without chasing departments, while credentials, raw data, permissions, and execution remain inside your environment.
LocalRaw data and credentials
ScopedTools bound to permissions
0/1Status-only return contracts
AuditedEvery governed action
The trust boundary
Intelligence can travel. Trust never leaves.
The local system sees company context and performs work. Remote reasoning is optional and receives only sanitized, reference-based intent plus constrained result codes.
Customer environment
External reasoning
Remote modelPlans and explains from sanitized intent only
Remote modelPlans and explains from sanitized intent onlySovereign Local ExecutionRouter + policy + deterministic tools
Encrypted VaultCredentials never reach the model
Policy RegistryRoles, approvals, scopes
Tool ExecutorApproved Python capabilities
Company SystemsERP, CRM, DB, docs
Employee RequestSlack, Teams, IDE, web
Sanitization airgapreferences + enums + status codes
Architecture 01 · Setup
Build the capability. Prove it. Delete the setup context.
The setup pipeline creates deterministic local tools without duplicating company data or giving the local model access to credentials.
Local sandbox
Compile tools inside an isolated customer-side volume, test against mock or read-only shadow data, and reject unsafe code.
AST + sandbox checksCredential binding
Store credentials in the local vault and bind each credential scope to one approved capability. The model never receives the secret.
Least privilegeContext wipe
Delete setup chat, raw schema dumps, and temporary compiler artifacts. Keep only the capability, tool, policy, and vault registries.
Security guaranteeArchitecture 02 · Runtime
A deterministic operating system, not a general chatbot.
The small local model routes and formats. Policy and tool execution remain deterministic, scoped, and auditable.
The runtime stack
Event-driven monitoringPython listeners watch for rules; no LLM polls databases.
Strict local routerMaps intent, extracts entities, and returns UNKNOWN when unsure.
Policy engineChecks role, scope, thresholds, and approval requirements.
Deterministic tool executorQueries live systems locally and returns a constrained contract.
Immutable auditRecords routing, policy checks, actions, and data egress.
One employee request
1
IngressA branch manager asks, “Can we reorder oat milk for branch 2?”
2
Route + resolveThe local model maps the request to inventory.reorder.check and resolves local references.
3
Policy checkThe policy engine confirms the manager can check and whether drafting requires approval.
4
Local executionThe approved Python tool queries the ERP and performs the calculation locally.
5
Status-only return{ status: STOCK_LOW, action: DRAFT_REORDER, approval: false }
6
Human responsePandaBear formats the result and records the governed action locally.
The 0/1 rule
Process raw data locally. Return only what the decision needs.
The tool layer can use sensitive records internally, but its output contract is limited to booleans, enums, references, and predefined status codes.
// stays inside customer environment
vendor: “Acme Ltd”
amount: 48,750
ledger: “AP-2049”
credential: vault://finance
vendor: “Acme Ltd”
amount: 48,750
ledger: “AP-2049”
credential: vault://finance
→
Only the decision crosses the tool boundary.
{ decision: false, reason_code: “LIMIT_EXCEEDED” }
No vendor, amount, ledger, password, or connection detail is exposed.
The router selects only registered capabilities and returns UNKNOWN when confidence is insufficient.
Forbidden imports and network patterns fail static analysis before a tool reaches the sandbox.
An admin explicitly approves or regenerates each tool before live credentials can be bound.
Let employees build. Keep enterprise trust intact.
PandaBear gives innovation and transformation teams a practical entry point into private, governed AI—one valuable workflow at a time.