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.



28 specialized agentsAll systems operational
Ready to transform your security infrastructure?
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Aiden FluxSenior AI Fraud Risk AnalystFraud Detection & Risk Scoring
Rhea LedgerSenior AI KYC/AML Compliance DirectorKYC/AML & Sanctions Screening
Nova SentinelLead AI Zero Trust Security ArchitectZero Trust Access Security
Iris VermaAI Verification SpecialistIdentity Verification & KYC
Oscar GraySenior AI OSINT Intelligence DirectorOSINT & Threat Intelligence
Bella NovaAI BNPL Risk AnalystBNPL Risk Monitoring


28 specialized agentsAll systems operational
Ready to transform your security infrastructure?
Explore our complete agent library and request a custom demoView All Solutions


28 specialized agentsAll systems operational
Ready to transform your security infrastructure?
Explore our complete agent library and request a custom demoView All Solutions
Sol Runnr — Senior AI Service Reliability EngineerSol 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.

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.
payments checked during the outage
The MLRO hears about it the next day.
A screening service that times out may let payments through on a fallback path. Dashboards stay green while coverage drops.
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.
After an outage, the MLRO needs the list of transactions that weren't monitored or screened. Pulling it together by hand takes days.
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.

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.
Sol Runnr reads from your observability and service logs through APIs. Your on-call process stays in place.
Metrics, logs and traces from monitoring and screening services, plus queue depth and transaction counts, arrive from your observability tools.
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.
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.
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.
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.
Sol doesn't make you resilient. He produces the incident evidence these frameworks expect you to keep.
Incidents opened early, with the compliance impact already listed.
| CRITERIA | On-call engineers | Generic monitoring tool | Sol Runnr |
|---|---|---|---|
| When problems are seen | When an alert fires or a user complains | When a threshold is crossed | When a trend moves away from the baseline |
| Who decides | On-call engineer | Alert rules, then engineer | On-call engineer and MLRO, inside bands you set |
| Knows the compliance impact | If the engineer asks | No | Yes, incidents list the controls and transactions affected |
| Facts for regulatory reports | Gathered after the incident | Raw metrics | Timeline, cause and impact on record |
| Cover outside office hours | Needs a rota | Yes | Yes |
| Where it's weaker | Fatigue and slow fact-finding | No link between an outage and compliance coverage | Depends on your observability data, and still needs engineers to fix what he finds |
Sol opens the incident. These agents help explain and report it.

Turns Sol's incident facts into a narrative and tracks the reporting deadlines.
Meet Nolan
Tells Sol whether a latency rise comes from a legitimate peak or an attack spike.
Meet Theo
Checks whether an incident affected model inputs or outputs and records it for model risk review.
Meet RiyaLow 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.
Turn Sol off without touching the other agents or your core systems. The switch, and who used it, is stamped on the record.
Run Sol on live data with nothing blocked or closed. Compare the calls with your team's before anything changes.
Every decision answers why, in plain English, with the signals and the rule or policy behind it.
Each decision is stored with its inputs, its reasoning and the person who approved it, in tamper-evident evidence storage.
Agents connect beside your systems through APIs. Your core banking, screening and case tools stay where they are.
What we're learning about AML, fraud and the evidence examiners ask for.






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.
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.
Shadow mode results belong to you.
Start with one workflow in shadow mode, then decide how much each agent does on its own.