Risk and Governance squad

AI audit analyst that replays every decision

Arin Narrate, Senior AI Audit Trail Specialist, an AI agent by FluxForceArin Narrate — Senior AI Audit Trail Specialist

Arin Narrate is an AI agent that links every agent and analyst decision to its evidence and keeps the record tamper-evident. When an examiner or internal auditor asks why a case was closed, he assembles the case file, the audit pack and a draft answer for your team to check before anything goes out.

Arin Narrate
Arin Narrate, Senior AI Audit Trail Specialist, an AI agent by FluxForce
Examiner request: alert #31877
IllustrativeDraft ready for review
Evidence items linked · 12
Flag explained
“Score, analyst note, screening result and approver in one file.”
BSA/AMLUK MLRs 2017
REPORTS TO
Your MLRO or Head of Internal Audit
Shadow mode first
How Arin works with your team
Shadow mode
first: nothing acts until you say so
3 bands
of autonomy you configure
Every decision
has a replayable record
1 per agent
kill switch
SaaS · on-prem · hybrid
deployment
Product controls, not performance claims. Performance is measured on your data, in shadow mode.
The problem

The problem your team faces every audit season

An examiner picks a sample of closed alerts and asks why each was closed. The answer is split across the monitoring system, the case tool, email and an analyst who has since moved teams. Your team spends the visit rebuilding decisions instead of explaining them.

AUDIT REQUEST
Days

to rebuild one sample by hand

Examiners ask why each alert closed.

Scattered evidence

Five systems for one decision

The score is in one tool, the screening hit in another, the analyst note in the case system and the approval in an email thread. Pulling them together is manual every time.

Replay gap

Nobody can rerun last year's call

Rules have been retuned and models retrained since the alert closed. Without the version and inputs used at the time, you can't show how the decision was reached.

Answer drift

Same question, different answers

Three people answer three examiner requests three different ways. Inconsistent answers draw follow-up questions, and follow-up questions draw findings.

Job description

What Arin Narrate does Job description

Arin Narrate is a Senior AI Audit Trail Specialist. He records what every agent and analyst decided, on what evidence, under which rule and with whose approval, and turns that record into audit packs on request.

AI AGENT · RISK AND GOVERNANCE SQUAD
Arin Narrate, Senior AI Audit Trail Specialist, an AI agent by FluxForce
ARIN NARRATE
Senior AI Audit Trail Specialist
REPORTS TO
Your MLRO or Head of Internal Audit
WORKS WITH
Your monitoring, screening and case management systems, plus every FluxForce agent you run
DEPLOYED
Shadow mode first, then the autonomy you set
KEY RESPONSIBILITIES
01Link every agent and analyst decision to the inputs, rule, model version and person behind it
02Keep the record in tamper-evident evidence storage, with every change logged
03Assemble case files and audit packs on request, by case, period, rule or analyst
04Draft answers to examiner and internal audit questions for your team to review
05Flag decisions with missing evidence or a missing approver
AUTONOMY MODEL
Low risk
Can assemble a standard audit pack, if you allow it
LOW
Medium risk
Goes to your compliance or audit lead by default
MEDIUM
High risk
Examiner answers always go to a person
HIGH
You set the threshold per rule.
Kill switch: Turn Arin off at any time
Shadow mode

What to measure in shadow mode on your own data

We don't publish performance numbers from our own tests. Give Arin Narrate a sample your last examiner asked for and compare his pack with the one your team built.

01
Decisions with full evidence
Share of decisions linked to inputs, rule, model version and approver.
02
Evidence gaps found
Decisions missing a reason, an input or an approver, found before an examiner does.
03
Missed gap review
Gaps your auditors found that Arin didn't flag. Read this number first.
04
Time to audit pack
Time from request to a pack your team can review.
05
Pack completeness
Share of requested items present in the first draft.
06
Reviewer edits
How much your team changes in Arin's draft answers, tracked over time.
07
Replay success
Share of sampled decisions your auditors can replay end to end.
08
Examiner follow-ups
Follow-up questions per request. Fewer means clearer answers.
Shadow mode results belong to you. We agree the sample, the metrics and who reviews Arin's packs before the trial starts.
How it works

How an AI audit analyst works with Arin Narrate

Arin Narrate reads decision data from your systems through APIs. Your systems of record stay where they are.

01

Capture

Decisions arrive from your monitoring, screening and case systems and from FluxForce agents: the alert, the inputs, the score or rule, the explanation, the outcome and the person who approved it.

02

Link

Arin ties each decision to the rule version, model version and policy in force at the time, so a decision from last year can be shown as it was made.

03

Store

The record goes into tamper-evident evidence storage. Corrections are added as new entries, and the original stays visible next to them.

04

Assemble

On request, Arin builds the case file or audit pack and drafts answers to the questions asked. A standard pack can go out on its own if you allow it. Examiner answers always go to a person to review first.

Want to see this on your data?

Run Arin Narrate in shadow mode against the last sample your examiner requested. He links the evidence and builds the pack, and nothing leaves your team. Compare his pack with the one you sent.

Request a shadow mode trial
Compliance and regulatory mapping

Regulatory frameworks Arin Narrate supports

Arin doesn't make you compliant. He keeps the evidence these frameworks expect you to produce on request.

FATF Recommendation 20
Suspicious transactions are reported promptly. Arin's record shows when each case was detected, reviewed and decided.
BSA / FinCEN SAR rule
US banks file within 30 calendar days of initial detection. Arin timestamps every step from the first alert.
UK MLRs 2017 and POCA 2002
Your nominated officer reports to the UKFIU. Arin keeps the trail from alert to that officer's decision.
EU AI Act
AI used to assess the creditworthiness of natural persons is high-risk. Arin keeps the decision record reviewers ask for.
DORA
EU financial entities report major ICT incidents. Arin's log shows what each agent did, and when, during an incident.
BCBS 239
Risk data should be accurate and traceable to its source. Arin links each decision back to the data that drove it.
Analyst view

What your audit team sees

One record per decision. Packs built from it on request.

BEFORE ARIN NARRATE
Evidence pulled from five systems by hand
Rule and model versions unknown for old cases
Approvals buried in email
Each examiner answer written from scratch
Gaps found during the visit
AFTER ARIN NARRATE
Every decision linked to its evidence
Rule and model version recorded at decision time
Approver named on every decision
Draft answers ready for your review
Missing evidence flagged ahead of the visit
Options

How the options compare

CRITERIA Manual evidence gatheringCase management system logs Arin Narrate, Senior AI Audit Trail Specialist, an AI agent by FluxForceArin Narrate
Time to audit pack Days of pulling recordsExports, then manual assembly Assembled on request, reviewed by your team
Who signs off Your teamYour team Your team, from Arin's draft
What the record shows Whatever analysts savedStatus changes and user IDs Inputs, rule, model version, explanation and approver
Change history Spreadsheets and emailDepends on the vendor Tamper-evident, every change logged
Covers AI agent decisions RarelyOnly the final status Yes, with the explanation behind each one
Where it's weaker Slow and depends on who remembersShows what changed, not why Only as complete as the systems connected to him. Decisions made elsewhere need importing or stay out of the record
Trust Builders

Built for Regulated Financial Institutions

01

Configurable autonomy

Low risk can run on its own if you allow it. Medium risk goes to a person by default. High risk always goes to a person. You set the bands per rule, channel and transaction type.

02

Kill switch

Turn Arin off without touching the other agents or your core systems. The switch, and who used it, is stamped on the record.

03

Shadow mode

Run Arin on live data with nothing blocked or closed. Compare the calls with your team's before anything changes.

04

Explainability

Every decision answers why, in plain English, with the signals and the rule or policy behind it.

05

Audit trail

Each decision is stored with its inputs, its reasoning and the person who approved it, in tamper-evident evidence storage.

06

No migration

Agents connect beside your systems through APIs. Your core banking, screening and case tools stay where they are.

Questions? We Have Answers

Frequently Asked Questions

FluxForce

Still have questions?

Talk to the people who build the agents. We'll answer per capability, yes or no.

An AI audit analyst records each decision with its evidence, then builds audit packs and draft answers when auditors or examiners ask. Arin Narrate links every agent and analyst decision to its inputs, rule, model version and approver, so your team can show how a decision was reached long after it was made.

No. Arin drafts answers and builds packs. A named person on your team reviews them and sends them. A kill switch turns Arin off without touching your other systems, and the existing record stays in place.

Decisions go into tamper-evident evidence storage, so a later change shows up as a new entry next to the original instead of replacing it. We walk your CISO and auditors through the storage design during deployment.

Arin reads your decision data and builds a pack for a past examiner sample, but nothing leaves your team. You compare his pack with the one you sent and decide what to switch on afterwards.

Decision logs from your monitoring, screening and case systems: the alert, inputs, outcome, analyst note, approver and timestamps. Rule and model version history lets him show old decisions as they were made.

No. Your case system stays the place analysts work. Arin reads from it and from your other systems, and keeps a single linked record of each decision across all of them.

FluxForce runs as SaaS, on-premise or hybrid, built on Microsoft Azure. We agree data residency and which components run inside your environment during deployment design, before any data moves.

Shadow mode trial

See Arin on your data before anything changes

Run Arin Narrate beside your current process. He works on your live data and records every call, and nothing is blocked, closed or sent until you decide.

  • Runs in shadow mode on your own data, next to your team
  • You agree the metrics, the time window and who reviews the results
  • Kill switch and a replayable record of every decision from day one
  • SaaS, on-premise or hybrid, with data residency agreed up front

Shadow mode results belong to you.

Take the first step

AI agents that prepare the case. Your team makes the call.

Start with one workflow in shadow mode, then decide how much each agent does on its own.

How we start
Discovery and scoping
Integration beside your systems
Shadow mode
Controlled autonomy
Govern and improve