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A hard stop before AI commits downstream

Execution governance at the commit boundary.

BiDigest verifies whether an AI-triggered action is authorized before it reaches payments, claims, identity systems, or operational records.

Stop governing the model. Govern the consequence.

Real-time authorization and evidence at the moment an action would commit—not dashboards that only explain what already happened.

We stop unauthorized AI-triggered state changes before they become operational fact. Enforcement is deterministic and fail-closed on governed paths—independent of any model vendor’s chat “safety” score.

Example: if a bot tries to move money or change coverage outside policy, the disallowed call is blocked before it reaches your ledger or core systems.

Trust: Evidence first: use self-serve checks and scoped pilots so you see value before we ask you to pay for a subscription.

30-day satisfaction on your first paid subscription—email hi@bidigest.com within 30 days of first payment if we have not earned your trust (eligibility & exceptions in Terms).

Billing & refund terms →

Jurisdictional readiness

Engineered for deployment models where decision metadata stays in your perimeter (VPC / region). Map supervisory obligations to primaries—UK, Singapore, EU—with counsel; we provide mechanical evidence, not a compliance label.

UKSingaporeEU

Why this matters now

AI agents are moving from chat to operations

The risk is no longer only unsafe text generation. AI systems are beginning to approve payments, modify coverage, trigger workflows, grant permissions, and write to systems of record—while most governance tooling still observes after execution.

  • Approve payments and transfers
  • Modify coverage and claims
  • Trigger operational workflows
  • Grant permissions and access
  • Interact with systems of record

Legacy posture: “Did the model generate unsafe text?”

BiDigest posture: “Is this action authorized to commit right now?”

How deployment works

BiDigest sits between agentic applications and the systems that must not change without current authority—inside your perimeter on governed paths (VPC / region-bound where instrumented).

  1. AI agents & copilots

    Proposals, tool calls, workflow triggers

  2. BiDigest commit boundary

    Policy validation · forensic receipts · fail-closed enforcement

    • Deterministic verdicts on governed paths
    • Not a chat model “safety” score
  3. Systems of record

    Payments · claims · identity · ERP / core ops

Who this is for

Without BiDigest vs with BiDigest
Without BiDigestWith BiDigest
Post-execution monitoringPre-execution enforcement before state changes
Probabilistic model safety scoreDeterministic authorization enforcement (fail-closed)
Vendor-controlled logicIndependent authority validation layer
Logs and dashboardsReplayable forensic evidence
Policy drift after the factBind-time validation before operational fact

Simulate the Commit Boundary

See how BiDigest handles authorized actions, unauthorized state changes, and shadow-source ingestion—then read a hard execution verdict, not a probabilistic safety score.

  • Authorized actions
  • Unauthorized state changes
  • Shadow-source ingestion

Verdicts you will see: ADMITTED · FAIL_CLOSED · REVIEW_REQUIRED

Simulate Commit Boundary

Diagnostic demo v1.0

Inject synthetic payload

Agent requests a summary of the firm's approved Q3 data retention policy.

[READ] client_facing_chat

"Our Q3 data retention policy mandates a T+91 day purge for all non-essential PII."

L
Legal
R
Risk
E
Engineering
Awaiting payload injection — choose a scenario at left, then Run Payload.

Where teams deploy the control plane

  • Payments & treasury

    An agent attempts to approve a transfer outside authorized limits.

  • Insurance & claims

    Automated coverage or claims actions must match bind-time policy artifacts.

  • Healthcare authorization

    Clinical or admin workflows need proof the exact authorized transition ran.

  • Access & identity

    Privilege grants and overrides are withheld when authority does not validate.

  • Underwriting & trading

    High-consequence decisions get fail-closed verdicts before operational fact.

  • Procurement & copilots

    Internal agents propose changes; the gate decides what may commit.

Commit boundary, forensic ledger, sovereign knowledge base

Slice A

The Gate

The Commit Boundary

A deterministic intercept between probabilistic reasoning and systems of record. Execution paths are fail-closed unless policy and identity checks pass at the gateway—not in a lagging dashboard.

  • Phase 1: propose / approve / execute API + SoD (proposer ≠ approver)
  • Phase 2: risk-tiered dual control (see internal roadmap)
Slice B

The Proof

Forensic Merkle ledger

Authorized commits seal into tamper-evident Merkle batches over entry_hash leaves. Exports recompute to a root in seconds with the open verification script—evidence you can rerun, not a narrative.

  • npm run trustee:verify-batch-json (exported leaves)
  • npm run trustee:verify-merkle-batch (live batch UUID)
Anchor prose

The Context

Sovereign knowledge base

Mandates and citations are versioned. The gate evaluates intent against your anchored policy surface—so drift and shadow sourcing surface as enforcement problems, not post-mortem surprises.

  • Sovereign KB + jurisdiction-aware routing
  • Citation integrity folded into IFQ / Triple-Lock

Deployment posture: In-site (VPC) · region-bound metadata · air-gapped verify (export + CLI)

Architectural index →Verification CLI (repo) →

The admissibility control plane

Stop governing the model.
Govern the consequence.

Post-generation alerts are probabilistic. BiDigest enforces a <50ms deterministic Commit Boundary. The verdict is computed against anchored controls and integrity constraints—not by asking a chat model whether the action "feels safe." If admissibility cannot be proven, the route fails closed.

The fail-closed circuit breaker

When an unauthorized AI attempts a state-change (hallucinated advice, out-of-bounds API call), the Commit Boundary rejects the payload instantly.

  • Zero reliance on vendor LLM "safety" guardrails.
  • Prevents the Consequence Gap before it happens.
  • Protects enterprise liability deterministically.

Test your current AI stack against the Triple-Lock.

Status: Fail-closed

Why this matters now

Governance under convergence

The question is shifting from "Do we have an AI policy?" to "Can we afford the gap between what we approved earlier and what we are about to commit?" Three pressures often land on the same systems and budgets—so routing around execution architecture gets expensive.

  • Liability & operational risk

    Agentic and automated workflows raise expectations for attribution and replay after a bad outcome—not a slide deck alone.

  • Regulatory & audit clocks

    Frameworks increasingly expect demonstrable controls and traceable decisions for material systems—scope varies by tier and jurisdiction.

  • Cryptographic transition

    PQC roadmaps and long-lived evidence raise the cost of informal audit trails and mutable narratives.

Structural risk: time-of-check to time-of-use—approving intent at t1 and executing against the world at t4 without re-binding at the commit boundary is how stale authority becomes committed reality.

From

  • Visibility and post-hoc logs as the whole story
  • "We evaluated it upstream"

To

  • Admissibility and evidence at the execution boundary for state-changing actions
  • Provable record of what crossed the boundary, when

Doctrine & category (canonical on bidigest.com)

Read the “why” lane (execution-centered governance) and the “how” lane (Execution Control Systems), then continue to the governance hub or simulator—same truth as the short domains that land on these paths.

New to the category? Start with plain-English timing and stack position—then doctrine, ECS, and the simulator.

Documentation & verification

For compliance, security architecture, and audit — primary sources for regulatory mapping stay with your counsel; we ship mechanical evidence and reader-friendly technical spine.

  • Reader

    State of Admissibility 2026

    Technical + regulatory-mapping spine (HTML).

    Open whitepaper →
  • Handbook

    Trustee-tier handbook

    Single canon: commit boundary, Triple-Lock, ledger.

    Read handbook →
  • Verify

    Batch JSON verification

    Recompute Merkle root from exported entry_hash leaves.

    View CLI source →

The admissibility handshake

From intent to sealed evidence (illustrative path).

High-risk dual steps mirror the simulator; single approver_id remains Phase 1 production until dual-control migrations ship.

1. Autonomous intent

Agent proposes action

A high-exposure action (e.g. credit limit change) is proposed. Until approved, it stays out of executed state—fail-closed by design.

2. Commit boundary

Deterministic gate

Intent is evaluated against Anchor Prose / IFQ / Triple-Lock. Inadmissible payloads return FAIL_CLOSED without touching systems of record.

3. Human verification

SoD + approvals

Risk tier drives control depth: SoD requires distinct proposer and approver. The simulator shows a second-line co-sign for narrative; map to your Phase 2 target operating model.

4. Merkle batching

Sealed receipts

Executed commits batch into Merkle roots over entry_hash leaves for independent recomputation.

5. Forensic receipt

Evidence package

Receipts bind policy pins, timestamps, and batch roots for audit—not a chat transcript alone.

Three outcomes of deterministic governance

Before the gate runs

Legacy AI wrapper

Probabilistic "safety"
  • Post-generation filtering (too late)
  • Opaque "overall" scoring
  • Weak mapping to specific regulatory mandates
  • Easy to overstate compliance in prose

BiDigest control plane

Deterministic governance
  • Pre-execution commit boundary
  • Triple-lock authority (Legal / Risk / Eng)
  • Merkle-sealed IFQ receipts
  • Sub-50ms fail-closed path

Usage-based verify pricing — no surprise platform tax. Governance pricing →

Stakeholder sign-off, encoded

Triple-lock flow aligns legal, risk, and engineering on the same ground truth—before traffic hits your models.

Encoded means sign-off is bound to Anchor Prose and policy artifacts—not slide decks—and produces Merkle-ready telemetry your Forensic Ledger can cite under scrutiny.

Trustee handbook →
  1. 1

    Legal

    Policy & regulatory fit

  2. 2

    Risk

    Control + evidence posture

  3. 3

    Engineering

    Enforcement in CI/CD

Next step: governance assessment

Request a scoped briefing on bind-time validation, forensic receipts, and what ships today versus roadmap.

Marketing and growth teams: per-LLM citation share lives on a separate track — AI visibility & citation share.

Sovereign KB · IFQ · per-LLM — ask here