Risk and Governance squad

AI SRE engineer that keeps compliance checks running

Sol Runnr, Senior AI Service Reliability Engineer, an AI agent by FluxForceSol Runnr — Senior AI Service Reliability Engineer

Sol Runnr is an AI agent that watches the uptime and latency of your transaction monitoring and sanctions screening services. He spots degradation early, opens an incident with the facts attached and sends it to your on-call engineer. Your compliance team knows what was checked, and what wasn't, during every outage.

Sol Runnr
Sol Runnr, Senior AI Service Reliability Engineer, an AI agent by FluxForce
Screening service degrading
IllustrativeSent to on-call engineer
Degradation risk · high
Flag explained
“Screening response times rising steadily; payment queue backing up.”
DORACERT-In
REPORTS TO
Your Head of Operations, with the MLRO informed
Shadow mode first
How Sol 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

When monitoring goes down, compliance finds out last

Screening and monitoring services slow down or fail like any other system. The difference is what's lost: payments pass unscreened, alerts never fire and nobody tells the MLRO. Afterwards, someone has to work out what was missed and whether a regulator needs to hear about it.

INCIDENT
Unknown

payments checked during the outage

The MLRO hears about it the next day.

Silent failure

Slow is the dangerous kind of broken

A screening service that times out may let payments through on a fallback path. Dashboards stay green while coverage drops.

Reporting clock

Incident deadlines start early

DORA requires major ICT incident reporting, and CERT-In directions in India require cyber incidents to be reported within 6 hours. The clock runs while teams are still gathering facts.

Evidence gap

Nobody can say what was missed

After an outage, the MLRO needs the list of transactions that weren't monitored or screened. Pulling it together by hand takes days.

Job description

What Sol Runnr does Job description

Sol Runnr is a Senior AI Service Reliability Engineer. He watches the services your compliance controls run on and opens incidents with the facts your engineers and MLRO need.

AI AGENT · RISK AND GOVERNANCE SQUAD
Sol Runnr, Senior AI Service Reliability Engineer, an AI agent by FluxForce
SOL RUNNR
Senior AI Service Reliability Engineer
REPORTS TO
Your Head of Operations, with the MLRO informed
WORKS WITH
Your monitoring and screening services, observability tools, incident management and paging systems
DEPLOYED
Shadow mode first, then the autonomy you set
KEY RESPONSIBILITIES
01Watch uptime, latency, error rates and queue depth for monitoring and screening services
02Spot degradation trends before they become outages, using each service's own baseline
03Open incidents with the affected service, the timeline and the likely cause attached
04List the transactions that weren't monitored or screened during an incident, for the MLRO to review
05Prepare incident facts for your reporting team, so regulatory reports start from evidence
AUTONOMY MODEL
Low risk
Can log and close brief, self-recovered blips, if you allow it
LOW
Medium risk
Goes to the on-call engineer by default
MEDIUM
High risk
Always goes to the on-call engineer and MLRO
HIGH
You set the threshold per rule.
Kill switch: Turn Sol off at any time
Shadow mode

What to measure in shadow mode on your own services

We don't publish uptime or detection figures from our own tests. Measure what Sol Runnr catches on your services, next to your current monitoring and on-call process.

01
Degradation flagged early
Incidents Sol flagged before your existing alerts did, and by how much.
02
Incidents confirmed
Share of Sol's incidents your engineers agree were real.
03
Missed-incident review
Any outage or slowdown Sol didn't flag. Read this first.
04
Time to facts
Minutes from incident open to a timeline and likely cause.
05
Coverage gap lists
Incidents where Sol produced the list of unchecked transactions.
06
Noise level
Incidents your engineers close as not actionable.
07
Report readiness
Whether your reporting team could start a regulatory report from Sol's facts.
08
Decisions with evidence
Share of incidents with a replayable record. The target is all of them.
Shadow mode results belong to you. We agree the services, the time window and who reviews the incidents before the trial starts.
How it works

How AI SRE works with Sol Runnr

Sol Runnr reads from your observability and service logs through APIs. Your on-call process stays in place.

01

Ingest

Metrics, logs and traces from monitoring and screening services, plus queue depth and transaction counts, arrive from your observability tools.

02

Detect

Sol compares each service against its own baseline with a scored model and fixed thresholds you set. Agents share signals in real time, so a volume spike from Theo Surge is read alongside a latency rise.

03

Route

Your autonomy settings decide what happens next. Brief blips that recover on their own can close with a log entry if you allow it. Degradation goes to the on-call engineer by default. Anything that affects screening or monitoring coverage always goes to the on-call engineer and MLRO.

04

Explain

Every incident comes with a timeline, the likely cause and the transactions affected. The record goes into tamper-evident evidence storage, ready for root cause review and regulatory reporting.

Want to see this on your data?

Run Sol Runnr in shadow mode on your services. He watches and drafts incidents, and nobody gets paged. Compare his calls with your current alerts before you switch anything on.

Request a shadow mode trial
Compliance and regulatory mapping

Regulatory frameworks Sol Runnr supports

Sol doesn't make you resilient. He produces the incident evidence these frameworks expect you to keep.

DORA
EU financial entities classify and report major ICT incidents. Sol's timeline and impact list give your team the facts to start from.
CERT-In directions (2022)
Indian entities report cyber incidents within 6 hours. Sol's incident record is ready when the clock starts.
Basel Principles for Operational Resilience
Critical operations withstand disruption. Sol shows when compliance services were degraded and for how long.
NYDFS Part 500
New York's cybersecurity regulation includes incident response. Sol's records support that plan.
GDPR Article 33
Personal data breaches reported within 72 hours. If an incident involves personal data, Sol's facts help your DPO assess it.
FATF Recommendation 20
Suspicious transactions reported promptly. Sol lists what wasn't monitored, so the MLRO can have it reviewed.
Analyst view

What your on-call engineer and MLRO see

Incidents opened early, with the compliance impact already listed.

BEFORE SOL RUNNR
Outages found by customers or analysts
Generic alerts with no compliance context
Timelines rebuilt from logs after the fact
MLRO told late, if at all
No list of unchecked transactions
AFTER SOL RUNNR
Degradation flagged against each service's baseline
Incidents tagged by the control they affect
Timeline and likely cause attached at open
MLRO informed when coverage is at risk
Every unchecked transaction listed for review
Options

How the options compare

CRITERIA On-call engineersGeneric monitoring tool Sol Runnr, Senior AI Service Reliability Engineer, an AI agent by FluxForceSol Runnr
When problems are seen When an alert fires or a user complainsWhen a threshold is crossed When a trend moves away from the baseline
Who decides On-call engineerAlert rules, then engineer On-call engineer and MLRO, inside bands you set
Knows the compliance impact If the engineer asksNo Yes, incidents list the controls and transactions affected
Facts for regulatory reports Gathered after the incidentRaw metrics Timeline, cause and impact on record
Cover outside office hours Needs a rotaYes Yes
Where it's weaker Fatigue and slow fact-findingNo link between an outage and compliance coverage Depends on your observability data, and still needs engineers to fix what he finds
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 Sol 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 Sol 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.

Sol Runnr watches the uptime and latency of your monitoring and screening services, spots degradation early and opens incidents with the facts attached. He also lists the transactions that weren't checked during an incident, so your MLRO can have them reviewed.

No. Sol opens incidents and attaches the facts. Your engineers fix the problem. He can close brief, self-recovered blips with a log entry only where you allow it. A kill switch turns Sol off without touching your other systems.

No. Sol reads from them and adds compliance context: which control is affected, which transactions weren't checked and who needs to know.

Sol watches your services and drafts incidents, but nobody gets paged. Your team compares his calls with your current alerts before you rely on him.

He prepares the facts: timeline, likely cause, services and transactions affected. Your reporting team and a named approver decide what goes to the regulator.

Metrics, logs and traces from your monitoring and screening services, plus transaction counts. Access to your incident and paging tools lets him open incidents where your team already works.

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 Sol on your data before anything changes

Run Sol Runnr 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