Kora
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Transaction reporting you can replay, field by field.

Run the reporting chain as a governed workflow where AI validates and enriches, a person approves, and every submission can be replayed from its captured record.

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An operations analyst holding a printed transaction report beside a screen of softly blurred trade data, one line marked with a pen.
§ 01 · How it works

One run, end to end.

Kora runs transaction-reporting chains as governed workflows: agentic validation and enrichment propose, a person approves exceptions, and each submission leaves a hash-chained, replayable record shaped for MiFID II reporting obligations.

  1. Ingest

    Transactions arrive

    Reportable transactions enter the released chain with their source data attached.

  2. AI agent

    Validate and enrich

    The agent runs the checks, proposes the enrichments it is allowed to, and flags what fails.

  3. Approval

    A person approves exceptions

    Failed validations route to an owner with context; clean items flow on the released rules.

  4. Submit

    Submitted and recorded

    The submission and what each step produced land in the append-only record.

Every submission leaves its field-by-field history behind. Hash-chained, replayable.

§ 02 · The approach

Transaction reporting

What you get

  • One governed chain, end to end

  • Replay from the captured output

  • Every exception has an owner

01

The reporting chain is one governed workflow

Ingestion, validation, enrichment, approval, and submission run as a released process, so a report's whole path is one reviewable unit.

02

Replay from captured output

The record captures what each step produced, so a submission can be replayed exactly as it ran, rather than re-derived and hoped to match.

03

Exceptions get an owner

Validation failures and unusual cases route to a person with context, instead of being auto-corrected without a trace.

§ 03 · FAQ

Questions, answered.

What teams ask when they evaluate Kora for this problem.

The reporting chain runs as a released workflow that validates, enriches, and submits, and every submission leaves a hash-chained, replayable record of the data, the checks, the approvals, and the result, which is the evidence a regulator asks for.

Each step's output is recorded at run time, so you can replay a submission exactly as it happened rather than reconstructing it from logs and hoping the result matches.

Clean items can flow straight through on the released rules, while exceptions route to a person for approval before submission. The record shows which path each report took.

A rejection or a correction can enter the same governed path as a first submission: the exception routes to an owner with the original record attached, the corrected report is approved, and the resubmission is recorded. The full history of a report, including its corrections, stays one replayable trail.
§ 04 · Next step

Bring one reporting chain.

In a demo, bring a reporting flow you submit today. We will run it as a governed workflow and show the field-by-field record each submission leaves for the regulator.

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