Version n/a • 2026-09-01

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UniBridge

UniBridge

UniBridge turns finance, operations, and reporting into natural-language answers and faster action.

Context-aware prompts ERP-safe data flows Human-readable automation

How UniBridge Works

From a chat question to readable answers with context: we route raw ERP data through a secure bridge and return explanations without requiring field-name knowledge.

1. UniBridge Chat

Users write a natural-language question, for example:

  • "What did we sell last month?"
  • "Which customers declined in revenue?"

2. UniBridge Backend

Session, access, and protection are enforced before any data query runs.

  • Login + customer/company context
  • Rate limits + audit trail
  • OpenAI prompt orchestration

3. UniBridge Uniconta Bridge

Intent is translated into safe read-only calls in Uniconta.

  • orders.by_date_range
  • sales.by_customer
  • balance.snapshot

4. Uniconta API + GPT Answer

The result is explained in plain language with suggested next steps, not field codes.

  • Readable summary
  • Explanatory KPIs
  • Suggested actions

Roadmap

  1. Phase 01

    Foundation

    Infrastructure, deployment pipeline, and health monitoring are now stable and live.

    Completed
  2. Phase 02

    Connector

    Implement secure Uniconta authentication and first read endpoints for core entities.

    Completed
  3. Phase 03

    AI Layer

    Map business intents to trusted prompts and response formats for repeatable outputs.

  4. Phase 04

    Action Flows

    Enable guided workflows: summaries, reconciliations, and operational next-step suggestions.

Health: /up and /health

Bridge Command Center

Live-style telemetry mockup for the upcoming Uniconta connector and AI layer.

Simulated Live Feed

Signal Metrics

Scope: My activity
Requests / min 0
Successful requests 0
Response ms 0

Connector State

Auth HandshakeOnline
Mapping EngineCalibrating
Writeback GuardPlanned
Roadmap
32%
Coverage
48%
Stability
76%