Reactive Legacy Workflow Demo

A real-time-feeling enterprise demo that shows what the workflow knows, what AI thinks, and exactly when automation must stop.

This proof asset streams realistic legacy workflow events into a dark operations dashboard: terminal-style logs, live GPT/Gemini/Grok reactions, and a decision panel that flips from likely approve to hard block as batch truth catches up.

Reactive demo stream

Live enterprise workflow simulation — a dark ops dashboard that updates as legacy truth unfolds.

Logs stream in like a real control path. AI lanes react in parallel. The decision panel flips as the workflow moves from clean intake optimism to a hard automation block.

Enterprise posture: AI can explain, reason, and flag anomalies — but the system of record still owns the final move.

Workflow

Claims intake → adjudication queue

Legacy stack

COBOL / JCL / DB2 / batch

Cadence

0.5–1.0s event streaming

CTA

Feasibility check + workflow intake

Stream progress

Ingest · Live intake accepted

Decision

Likely approve

Confidence

84%

Risk

22/100

Streaming terminal

08:02:14

2026-04-21 08:02:14 CLAIM-INGEST JOB4121 INPUT=WEBFORM BATCH-GROUP=CLAIMS-01 STATUS=RECEIVED
 awaiting next event...

Control path sequence

CLAIM-INGEST

JOB4121

Live

Web claim captured and normalized into batch group CLAIMS-01.

COBOL-VALIDATE

CLM-A17

Waiting

Rules execute inside the legacy control path and may surface exception states.

ROUTE-QUEUE

Q-MANUAL

Waiting

The queue decides whether the system keeps control or hands it to review.

BATCH-HANDOFF

NIGHT-RBK

Waiting

Write-back stays authoritative, even when the UI already looks complete.

AUDIT-GUARD

SAFE-01

Waiting

The automation guardrail blocks actions until final state exists.

State evolution

RECEIVED

Front-end intake accepted.

VALIDATED + EXCEPTION

Core rules ran, but supporting evidence is incomplete.

MANUAL_REVIEW

Human review becomes the safe control path.

WRITEBACK_PENDING

Night cycle still owns final state confirmation.

BLOCKED_PENDING_FINAL_STATE

Audit guard blocks automation until reconciliation closes.

GPT

Explanation

Updating live

Explanation

A new claim has landed and the payload is normalized. At this moment the AI can explain the intake clearly, but it is still looking at the front door of the process.

Risk points

Only intake quality is visible so far.
No legacy validation has completed yet.
Early clarity can be mistaken for finality.

Recommended action

Summarize the intake for the operator and wait for downstream validation signals.

Gemini

Reasoning

Updating live

Explanation

Reasoning says the process is too early for a confident operational action. The workflow has signal, but not enough authoritative state to automate safely.

Risk points

Temporal context is incomplete.
No exception path has been tested.
Decision confidence is front-loaded.

Recommended action

Hold automation until core system checks begin returning evidence.

Grok

Anomaly detection

Updating live

Explanation

No anomaly in the payload yet. The risk is purely procedural: humans tend to over-trust clean-looking early states.

Risk points

Fast intake often creates false certainty.
No audit guard has fired yet.
Low-risk score may be misleading this early.

Recommended action

Keep watch for timing drift once legacy processing starts.

Fusion output

Decision panel

Modern intake is clean. The workflow looks healthy before the legacy checks begin.

Decision

Likely approve

Confidence is intentionally fluid until the control path closes.

Confidence / Risk

Confidence 84%

Risk score 22 / 100

Stage · Ingest

State · RECEIVED

Naive failure

Let a persuasive AI recommendation outrun validation, routing, and deferred write-back — then force humans to clean up a decision the system was never ready to make.

Corrected action

Keep AI in explanation mode, route the case to manual review, request missing documents, and wait for batch-confirmed final state before any automation resumes.

If your team is considering AI on top of legacy systems, this is the part worth getting right first.

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