Risk and Governance squad

AI incident analysis that keeps the reporting clock

Nolan Briefwell, Senior AI Incident Response Narrator, an AI agent by FluxForceNolan Briefwell — Senior AI Incident Response Narrator

Nolan Briefwell is an AI agent that writes case and incident narratives from your case data and root cause analysis. He tracks every regulatory reporting deadline from the moment a case or incident opens, and builds the evidence pack your team reviews before anyone submits a report.

Nolan Briefwell
Nolan Briefwell, Senior AI Incident Response Narrator, an AI agent by FluxForce
Incident opened: screening service outage
IllustrativeDraft ready for review
Deadline · CERT-In 6 hours
Flag explained
“Affected payments listed. Root cause draft attached.”
CERT-InDORA
REPORTS TO
Your MLRO or incident response lead
Shadow mode first
How Nolan 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 with reports written against the clock

Regulatory clocks start when you detect something, and they don't wait for the facts to settle. Your team writes the narrative while still investigating, pulls evidence from several systems and checks the deadline in a calendar someone set up by hand.

REPORTING CLOCK
6 hours

for a CERT-In cyber incident report

The clock starts at detection.

Deadlines

Every regime starts its own clock

30 calendar days for a US SAR, 72 hours for a GDPR breach notice, 6 hours under CERT-In. One incident can start three clocks at once.

Blank page

The narrative starts from nothing

Analysts know what happened but write it differently each time. Reviewers send drafts back for missing facts, and the clock keeps running.

Evidence

The pack is assembled last

Logs, timelines, transactions and approvals sit in different systems. The evidence pack gets built after the narrative, under the most time pressure.

Job description

What Nolan Briefwell does Job description

Nolan Briefwell is a Senior AI Incident Response Narrator. He turns case data and root cause findings into a first draft, tracks each reporting deadline and builds the evidence pack, so your team spends its time reviewing.

AI AGENT · RISK AND GOVERNANCE SQUAD
Nolan Briefwell, Senior AI Incident Response Narrator, an AI agent by FluxForce
NOLAN BRIEFWELL
Senior AI Incident Response Narrator
REPORTS TO
Your MLRO or incident response lead
WORKS WITH
Your case management, incident, monitoring and logging systems
DEPLOYED
Shadow mode first, then the autonomy you set
KEY RESPONSIBILITIES
01Draft case and incident narratives from case data, timelines and root cause findings
02Track regulatory reporting deadlines from the time each case or incident opens
03Build the evidence pack for review before any report is submitted
04Flag missing facts and contradictions in the timeline to the case owner
05Keep each draft and every edit in the record, with who changed what
AUTONOMY MODEL
Low risk
Can update the deadline tracker, if you allow it
LOW
Medium risk
Drafts go to the case owner by default
MEDIUM
High risk
Every report goes to your MLRO or incident lead for sign-off
HIGH
You set the threshold per rule.
Kill switch: Turn Nolan 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 Nolan Briefwell your recent closed cases and incidents and compare his drafts with the reports your team sent.

01
Draft acceptance
How many of Nolan's drafts your reviewers accept with light edits.
02
Reviewer edits
How much reviewers change in each draft, tracked over time.
03
Unsupported statements
Any sentence in a draft not backed by the case record. Read this number first.
04
Deadlines tracked
Share of reportable cases with every applicable clock tracked from detection.
05
Close calls
Reports finalised near their deadline, and where the time went.
06
Missing-fact flags
Gaps Nolan raises, and whether case owners agree they matter.
07
Time to first draft
Time from case or incident data to a draft your team can review.
08
Packs with evidence
Share of reports with a complete, replayable evidence pack. The target is all of them.
Shadow mode results belong to you. We agree the case sample, the metrics and who reviews Nolan's drafts before the trial starts.
How it works

How an AI incident analyst works with Nolan Briefwell

Nolan Briefwell reads from your case and incident systems through APIs. Reports still go out through your usual channels.

01

Collect

Case data, alerts, transactions, timelines, logs and root cause notes arrive from your case, incident and monitoring systems, and from other FluxForce agents.

02

Track

When a case or incident opens, Nolan starts every clock that applies under the rules you configure, such as a SAR, an STR or a breach notice. Owners see each deadline and what's still missing.

03

Draft

He writes the narrative from the case record only, in the structure your reviewers expect. Missing facts and contradictions go back to the case owner as questions instead of guesses.

04

Pack

Nolan builds the evidence pack behind the narrative. A named reviewer edits and signs off before anyone submits. Drafts, edits and approvals go into tamper-evident evidence storage.

Want to see this on your data?

Run Nolan Briefwell in shadow mode on your recent cases and incidents. He drafts and tracks deadlines, and nothing is sent anywhere. Compare his drafts with the reports your team submitted.

Request a shadow mode trial
Compliance and regulatory mapping

Regulatory frameworks Nolan Briefwell supports

Nolan doesn't make you compliant. He drafts the narrative and tracks the deadlines these frameworks set, and your team submits.

BSA / FinCEN SAR rule
US banks file within 30 calendar days of initial detection. Nolan tracks the clock and drafts the narrative for review.
UK POCA 2002
SARs go to the UKFIU through your nominated officer. Nolan prepares the draft that officer reviews.
PMLA and FIU-IND
STRs go through FINnet. Nolan drafts the narrative for your Principal Officer to review.
UAE goAML
STRs and SARs go to the UAE FIU through goAML. Nolan prepares the draft and evidence for your MLRO.
GDPR Article 33 and CERT-In
Personal data breaches are notified within 72 hours and Indian cyber incidents reported within 6 hours. Nolan tracks both clocks.
DORA
EU financial entities report major ICT incidents. Nolan drafts the incident narrative from the timeline and root cause.
Analyst view

What your incident team sees

A first draft and a running clock when the case opens.

BEFORE NOLAN BRIEFWELL
Narrative written from a blank page
Deadlines tracked in a calendar by hand
Evidence pulled together at the end
Missing facts found by the reviewer
Drafts and edits lost in email
AFTER NOLAN BRIEFWELL
First draft built from the case record
Every applicable clock tracked from detection
Evidence pack built alongside the narrative
Missing facts flagged to the case owner early
Every draft and edit kept in the record
Options

How the options compare

CRITERIA Analyst writes from scratchReport templates Nolan Briefwell, Senior AI Incident Response Narrator, an AI agent by FluxForceNolan Briefwell
Time to first draft Hours of writing per caseFaster, then manual fill-in A draft built from the case record
Who signs off Reviewer or MLROReviewer or MLRO Reviewer or MLRO, from Nolan's draft
Deadline tracking Calendars and memoryNot included Every clock you configure, from detection
Consistency Varies by analystSame headings, uneven content Same structure, every fact tied to the record
Evidence pack Built at the endAttached by hand Built with the narrative
Where it's weaker Slow under deadline pressureA template can't find missing facts Writes only from the facts he's given. A gap in case data becomes a question for the owner and slows the draft
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 Nolan 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 Nolan 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 incident analyst drafts the narrative for a case or incident, tracks the reporting deadlines that apply and assembles the evidence. Nolan Briefwell does that from your case record and root cause findings, then hands the draft to a named reviewer who edits and signs off.

No. Nolan drafts and builds the pack. A named person reviews, signs off and submits through your usual channel. A kill switch turns Nolan off without touching your case or incident systems.

The ones you configure for your jurisdictions. Common examples are the 30-day US SAR window, the 72-hour GDPR breach notice and the 6-hour CERT-In incident report. Your compliance team confirms each rule before Nolan tracks it.

Nolan drafts from the case record only and ties each statement to its source. Where a fact is missing, he raises a question for the case owner instead of filling the gap. Your reviewer checks every draft before sign-off.

Nolan drafts narratives and tracks deadlines for recent cases and incidents, but nothing is sent anywhere. You compare his drafts with the reports your team submitted and decide what to switch on.

Case and incident records, timelines, related transactions and alerts, and root cause notes. Past submitted reports help him learn the structure and tone your reviewers expect.

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 Nolan on your data before anything changes

Run Nolan Briefwell 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