# Weave AI (ElasticFlow)

> The alternative to rip-and-replace for COBOL/mainframe estates. Weave AI puts an AI layer over legacy systems that bridges them to modern interfaces and keeps those bridges correct on its own as the core changes: self-managing, self-healing, audited, reversible. For banks, government, airlines, and other mission-critical COBOL operators.

Weave AI is an ElasticD3M, LLC Agent-as-a-Service product. It deploys into the customer's environment under the customer's authorization model, in United States regions.

## What it does
1. Spawn: for each COBOL↔modern gap, Weave spawns the specialist agents that gap requires (schema-mapping, transaction-wrapper, protocol-translation), the count scaling automatically to the work.
2. Validate: an adversarial validation agent gates every bridge for lost precision, broken transaction boundaries, and swallowed failures; uncertain bridges are blocked, not shipped.
3. Self-heal: a master agent (powered by MAEE, the meta-agent evolution engine) watches live bridges; when one loses fidelity or fails as the legacy core shifts, it contains the bad bridge before it can corrupt a system of record, rebuilds it, and cuts over, authorized and audited.
4. Bridge / Understand / Orchestrate: the underlying capabilities: CICS/IMS/IBM MQ/HTTP middleware with modern egress to REST, gRPC, or Kafka consumers, COBOL parsing and translation, and cross-system workflow orchestration with dependency resolution and bottleneck detection.
5. Sense / Diagnose / Act: Weave ingests z/OS SMF/RMF telemetry from the systems it bridges and rolls it into anomaly signals; it diagnoses an anomaly by deterministic, cited retrieval over your runbooks, copybooks, and source; and it runs only pre-validated, customer-authorized z/OS remediations (recycle a hung CICS region, purge a stuck task, activate a WLM policy), each written to the audit log before it executes. Low-confidence cases escalate to a human, and no model ever issues a free-form command to the mainframe. Live z/OS connectivity is configured per engagement.

## Control model
- Read-only by default. Pure reads/analysis change nothing.
- Every non-read-only legacy call (a mainframe write) requires customer authorization and is recorded in a tamper-evident, append-only audit log with chain of custody.

## Engagement
Weave is a deployed product, not a self-serve API. Start with a free legacy bridge assessment: request one at https://ai4flow.ai/#access or email hello@ai4flow.ai. Onboarding configures your authorization model before any legacy write runs.

## Notes
Human-in-the-loop on every legacy-system write. All operations in United States regions.