The Write-Governance Layer for Enterprise AI

Built by Ishaan Ghosh, Founder & CEO.

1,000 writes governed at the boundary. Zero memory trail loss.

Try the CLI below.
Windows PowerShell — Shango MID v2.2
Windows PowerShell — Shango MID v2.2
Copyright (C) Shango India. All rights reserved.
Type help to see available commands.
PS C:\\Shango>

Production Proof

Published run of 4 June 2026 — synthetic inputs, real independent signer. “Production” qualifies the signer, not the traffic.

1,000 governance decisions, each with an independently verifiable receipt (400 allowed / 600 blocked). Every write intercepted and validated before it lands. Governance as enforcement, not performance.

Narrowed 11 September 2026: enforcement holds for writes routed through the connector; writes outside it are not attested.

Mapped to EU AI Act Article 14

Designed and mapped to the Article 14 human-oversight requirement — not a legal compliance certification. No conformity assessment is claimed. Human oversight is REPLAYABLE. Oversight without interception is just post-hoc documentation.

Infrastructure, Not Documentation

Memory custody at the write boundary — not application-layer logging. TBN Protocol for trust identity. ShangoVault for sovereign governance.

What the evidence actually is

Every figure dated, sourced, and checkable. Where a number is registrant-produced rather than independently verified, it says so.

230,269
Vault Entries (as at 25 July 2026)

230,269 entries in the ShangoVault audit trail, hash-chained locally. The overwhelming majority are simulation-agent records from a load exercise and are labelled as such — they are not attested, and they are not evidence of production governance. Counter-signed receipts are a separate and far smaller set; see the next card.

The published record

What it does, and what it does not.

There are more things declared here that Shango MID cannot do than things it can. That is deliberate. A control you cannot inspect the limits of isn't a control — it's a reassurance.

What it does

  • Decides whether an automated write is permitted before it happens
  • Commits the receipt inside the same database transaction as the decision
  • Rolls the decision back if the receipt cannot be written
  • Detects alteration of a committed receipt via the hash chain
  • Produces receipts a third party can verify offline against a published key

Route note, 11 September 2026. The second and third lines describe /api/v1/govern, where the receipt is committed in the caller's transaction; no published run used that route. The first and fifth describe /api/v1/bindpoint, the route the thirteen runs used. The fourth is true of each route's own chain. No single request passes through both.

What it does not establish

  • Prove that nothing happened outside the governed path
  • Establish that a permitted action actually occurred
  • Verify the acting agent's identity — the actor is the caller's assertion
  • Counter-sign receipts in the current build — that is not running
  • Hold any certification, accreditation or conformity assessment

Eleven limitations in total, filed in full on a public registry record. Shango MID is pre-revenue: no customers, no delivered engagements, no third-party production deployments.

1,000
governed decisions
4 June 2026

400 permitted, 600 blocked. Counter-signed and verifiable offline against a published key.

500
receipts
25 June 2026

The authorisation-context run, directory 20260625_185419_v2. Six runs of 495–500 receipts exist, so the run is identified by directory, not by date.

12 / 14
conformance cases matching
third-party suite

Of the 14: nine borne by shipped code, four by test scaffolding, one with no mechanism.

EU AI Act Article 14 — Designed for Replayable Oversight

Mapped to the human-oversight requirement — not a legal compliance certification

EU AI Act Article 14
MAPPED (Art. 14)

Designed and mapped to the Article 14 human-oversight requirement through replayable decision trails — not a legal compliance certification. No conformity assessment is claimed.

Human Oversight
REPLAYABLE

Every AI decision can be replayed, audited, and verified with hash chains. Two-phase replay logger. — Narrowed 11 September 2026: hash-chain linkage is verified across the chained subset; full content-recompute is in progress.

Engine Hardening
IN PROGRESS

Core enforcement and audit layers built and running. Engine hardening (authz, tenant isolation) in progress. — Narrowed 11 September 2026: enforcement engine built; counter-signing is not running in the current build (transparency page build status, 10 August 2026).

Evidence vs Logging
DISTINCT

Logging = observability. Evidence = accountability. We produce the latter. Governance as enforcement, not performance.

Write Boundary Custody
ACTIVE

Not application-layer logging. Custody at the write boundary itself. Interception, not documentation.

“1,000 AI-driven writes, zero memory trail — until we added the two-phase replay layer. Now every write is replayable, attributable, and governable. Agentforce is already making 10,000+ autonomous writes per session with zero memory governance. The EU AI Act requires human oversight (Article 14), but oversight without interception is just post-hoc documentation.”