Design-partner release · Broker-dealer correspondence

Supervisoryevidence forAI-assisted finance.

AssureDocket is a review-only evidence checkpoint for AI-assisted broker-dealer correspondence—connecting policy, evidence, accountable review, and the firm’s existing archive.

Review-only. Non-executing. Configured to your firm’s written supervisory procedures.

DECISION DOCKET AD-7F29-A1C4
REVIEW
Tenantnorthstar-bd
Policycorrespondence / 0.2
TriggerRecommendation language
EvidenceSigned · complete · 0.92
Next actionAccountable human review
SHA-256 e640c8…b42a VERIFIED
Signed evidence ingress Immutable policy versions Human decision trail Archive reconciliation
01 / THE GAP

The drafting tool is not the control

As AI enters client correspondence, supervisory accountability remains with the firm.

Firms need a reliable way to connect each AI-assisted draft to its source evidence, the policy version applied, and the reviewer’s disposition. AssureDocket makes that decision path inspectable while leaving the firm’s existing send and archive systems in place.

Read FINRA’s 2026 GenAI report ↗
WITHOUT A CHECKPOINT
  • Evidence is scattered across tools
  • Policy changes are hard to reconstruct
  • Low-confidence outputs look complete
  • Review rationale lives in side channels
WITH ASSUREDOCKET
  • Signed, tenant-bound evidence
  • Source-derived policy fingerprints
  • Missing or conflicting evidence escalates
  • Reviewer, rationale, time, and export link
02 / THE SYSTEM

One controlled route

From AI-assisted draft
to reviewable record.

AssureDocket does not replace your drafting assistant, send workflow, or designated archive. It connects the decisions between them.

  1. 01
    ⌁

    Verify evidence

    A local connector signs policy-relevant features, provenance, content hash, and archive reference. Replays and stale requests are rejected.

    SIGNATURE · NONCE · TENANT
  2. 02
    ⎔

    Apply firm policy

    An approved, immutable policy bundle evaluates configured risk. The decision pins the exact definition hash used.

    POLICY / 0.2 · SHA-256
  3. 03
    ◎

    Route uncertainty

    Risk, missing evidence, conflicts, or weak reliability move the draft into an accountable human review queue.

    ALLOW · REVIEW · DENY
  4. 04
    ↗

    Export the record

    The final docket records identity, rationale, hashes, and delivery acknowledgement for reconciliation with the firm’s archive.

    ARTIFACT · ACK · RECONCILE
03 / DECISION LAB

Touch the control

One policy. Four very different outcomes.

These scenarios mirror the deterministic pilot evaluation pack. Select one to inspect the routing logic—no client content leaves your browser.

POLICY RESULT ALLOW

Complete high-confidence evidence reports no configured risk.

SIGNALS
    REASON

    All required evidence is present, consistent, and above the configured reliability threshold.

    12 / 12seeded cases passed
    100%critical-case recall
    35 / 35automated tests passed
    0execution actions permitted

    Local deterministic pilot results—not production or regulatory validation.

    04 / GO TO MARKET

    Start in shadow mode

    Establish reliability
    before adding control.

    The first commercial milestone is not broad automation. It is proving one bounded correspondence workflow with two design partners and evidence both teams can inspect.

    DAYS 01–15

    Confirm the pain

    Map the firm’s current AI drafting, review, WSP, evidence, and archive handoff. Define the exact policy triggers and pilot dataset.

    Gate: 2 design partners
    DAYS 16–30

    Fit the control

    Configure tenant policy, signed connector, identities, and one customer-specific archive adapter. Validate seeded cases together.

    Gate: security + workflow sign-off
    DAYS 31–60

    Run the shadow

    Score 500–1,000 synthetic, de-identified, or customer-controlled messages without changing the firm’s send behavior.

    Gate: recall + reviewer agreement
    DAYS 61–90

    Decide together

    Reconcile every decision, tune false escalation, quantify review effort, and agree whether any narrow trigger is ready to gate.

    Gate: paid pilot decision
    05 / MARKET THESIS & FOUNDER

    The investment thesis

    The control layer around AI in finance is still being built.

    As AI moves into regulated financial workflows, firms need a defensible record of the evidence, policy, model context, and human judgment behind each outcome. AssureDocket’s working thesis: that supervisory evidence layer can become durable financial software infrastructure.

    01 / SIGNAL

    AI use raises the bar for supervision.

    FINRA’s 2026 guidance discusses testing, ongoing monitoring, output records, and model-version tracking as firms evaluate GenAI use.

    02 / WEDGE

    Start with broker-dealer correspondence.

    One bounded workflow connects each AI-assisted draft to its evidence, applicable policy, reviewer rationale, and archive record.

    03 / EXPANSION THESIS

    Reuse the evidence layer across workflows.

    If design partners validate the need, the same primitives could support adjacent supervised communications and financial operations.

    a16z has publicly written about AI in banking and invested in financial infrastructure. Those are category signals only; they do not indicate interest in or endorsement of AssureDocket.

    Opportunity framing only. Market size, willingness to pay, and adoption remain to be validated through customer discovery and design-partner pilots.

    06 / CONCEPT FILM

    AssureDocket × Supersharp · 53 seconds

    The decision record, in motion.

    A short visual overview of how evidence, policy, and human review could connect AI systems to accountable financial workflows.

    Illustrative concept film: the screens, trust ratings, and market percentages are not measured results or investment terms. AssureDocket's current pilot is review-only.

    Subtitles are visible in the video. Use the player controls to pause or replay it.

    Download the subtitled MP4
    07 / PILOT BUILDER

    Make it concrete

    Build your shadow-pilot brief.

    Size a first validation run and download a discussion brief. The calculator is illustrative, stays in this browser, and does not promise savings or compliance.

    No data sent · No account required
    Suggested sample 1,000 messages
    Estimated shadow window 3 weeks
    Current review baseline 150 hours / month

    For planning only. Final scope and thresholds require the firm’s compliance, security, and records stakeholders.

    08 / TRUST BOUNDARIES

    Precisely what it is

    Narrow by design.
    Honest by default.

    +

    AssureDocket does

    • Verify signed policy evidence
    • Pin decisions to policy versions
    • Route configured risk and uncertainty
    • Record accountable human disposition
    • Export and reconcile a decision ledger
    ×

    AssureDocket does not

    • Send client communications
    • Recommend securities
    • Place trades or transfer funds
    • Replace the firm’s designated archive
    • Guarantee regulatory compliance
    09 / ENTERPRISE PARTNERS

    FOUNDING PARTNER INVITATIONS

    CentennialBuilt for the stakes ahead.

    For large organizations shaping verifiable AI systems and stronger security operations. Request an invitation to help define a scoped premium program with AssureDocket and Supersharp.

    01 / VALIDATE

    Authorized security testing

    Planned penetration tests with written scope, rules of engagement, findings, and remediation checks. Testing begins only under a separate agreement.

    02 / DETECT

    Exposure intelligence

    Planned use of licensed threat sources to flag exposed credentials, brand impersonation, and relevant indicators for human verification.

    03 / RESPOND

    AI-assisted triage

    A proposed read-only assistant that groups approved alerts and prepares evidence-backed cases. People approve consequential response actions.

    SELECTIVE · PARTNER-LED · EARLY ACCESS

    Help shape the first enterprise release.

    Share your role and area of interest. We will review requests personally and discuss fit, scope, and security requirements before proposing a pilot.

    An invitation request does not start monitoring, penetration testing, or a paid service. No security outcome or certification is guaranteed.

    We open an email draft; your request reaches us only after you press Send. This page stores no form data. Please omit confidential or health information.

    Email the team directly instead ↗

    Validate one workflow before expanding scope

    Establish an auditable record for one AI-assisted workflow.

    Request a design-partner pilot ↗

    Working product · bounded pilot · evidence before expansion