Risk and Governance squad

AI capacity planner for monitoring and screening

Percy Planner, Senior AI Capacity Planning Strategist, an AI agent by FluxForcePercy Planner — Senior AI Capacity Planning Strategist

Percy Planner is an AI agent that forecasts how much compute and storage your transaction monitoring and sanctions screening will need. He reads transaction growth, seasonal peaks and new product launches, then recommends capacity changes to your platform team. The goal is simple: checks keep pace with volume, every day of the year.

Percy Planner
Percy Planner, Senior AI Capacity Planning Strategist, an AI agent by FluxForce
Screening capacity forecast
IllustrativeReady for review
Headroom risk · medium
Flag explained
“Festival-week volume forecast exceeds current screening capacity.”
DORAFATF R.6
REPORTS TO
Your platform lead, with the MLRO informed
Shadow mode first
How Percy 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 volume outgrows your compliance checks

Payment volumes grow every quarter and spike on salary days, festivals and sales events. Monitoring and screening capacity is usually sized once and revisited after something goes wrong. When checks fall behind, queues build, alerts arrive late and instant payments settle before anyone looks.

PEAK DAY
Backlog

builds when checks can't keep up

Instant payments don't wait for capacity.

Peak risk

Known peaks still catch teams out

Salary day, Diwali, Eid, Black Friday. Everyone knows they're coming, but capacity plans rarely link them to monitoring and screening workloads.

Growth risk

New products add load nobody sized

A new wallet, a UPI or FedNow launch, or a merchant partnership can change volume overnight. Compliance systems often hear about it after go-live.

Evidence gap

Examiners ask how you sized it

Operational resilience reviews ask whether critical services can absorb stress. A capacity decision made in a meeting with no record is hard to defend.

Job description

What Percy Planner does Job description

Percy Planner is a Senior AI Capacity Planning Strategist. He reads your volumes and system metrics, forecasts what monitoring and screening will need, and recommends changes to the people who own capacity.

AI AGENT · RISK AND GOVERNANCE SQUAD
Percy Planner, Senior AI Capacity Planning Strategist, an AI agent by FluxForce
PERCY PLANNER
Senior AI Capacity Planning Strategist
REPORTS TO
Your platform lead, with the MLRO informed
WORKS WITH
Your transaction feeds, monitoring and screening systems, cloud or data centre metrics and change calendar
DEPLOYED
Shadow mode first, then the autonomy you set
KEY RESPONSIBILITIES
01Forecast compute and storage needs for monitoring and screening from transaction growth and seasonal patterns
02Map known peaks, product launches and campaigns to the load they'll add
03Flag where forecast volume will exceed current headroom, with the date and the service affected
04Recommend capacity changes to your platform team with the forecast and assumptions attached
05Record each forecast against what actually happened, so the next one improves and the history is reviewable
AUTONOMY MODEL
Low risk
Can apply pre-approved scaling steps, if you allow it
LOW
Medium risk
Goes to your platform lead by default
MEDIUM
High risk
Always goes to your platform lead and MLRO
HIGH
You set the threshold per rule.
Kill switch: Turn Percy off at any time
Shadow mode

What to measure in shadow mode on your own volumes

We don't publish forecast accuracy from our own tests. Measure Percy Planner's forecasts against your actual volumes, next to your current planning, before you act on them.

01
Forecast against actual
How close Percy's forecasts came to real volume, by service and by week.
02
Peaks flagged ahead
Peaks Percy flagged before they arrived, and how far ahead.
03
Missed-peak review
Any load spike Percy didn't forecast. Read this first.
04
Recommendations accepted
Share of Percy's recommendations your platform team agreed with.
05
Screening backlog
Time payments waited for screening during peak periods.
06
Monitoring lag
Time from transaction to monitoring check during peaks.
07
Over-provisioning
Capacity added that volume never used.
08
Decisions with evidence
Share of capacity changes with a recorded forecast and approver. The target is all of them.
Shadow mode results belong to you. We agree the metrics, the forecast window and who reviews the recommendations before the trial starts.
How it works

How AI capacity planning works with Percy Planner

Percy Planner reads metrics and volumes through APIs. He doesn't need write access to your infrastructure to start.

01

Ingest

Transaction volumes by channel, processing times from monitoring and screening, resource metrics from your cloud or data centre, and your calendar of launches and campaigns arrive through APIs.

02

Forecast

Percy combines a forecasting model with seasonal patterns and known events. Signals from Theo Surge on real-time spikes feed back into the next forecast.

03

Route

Your autonomy settings decide what happens next. Pre-approved scaling steps can apply on their own if you allow it. Other recommendations go to your platform lead by default. Anything that puts monitoring or screening coverage at risk always goes to the platform lead and MLRO.

04

Explain

Every forecast comes with its assumptions, the data behind it and the service it affects. Forecasts, recommendations and approvals go into tamper-evident evidence storage.

Want to see this on your data?

Run Percy Planner in shadow mode on your volumes. He forecasts and recommends, and nothing in your infrastructure changes. Compare his forecasts with what actually happened before you rely on them.

Request a shadow mode trial
Compliance and regulatory mapping

Regulatory frameworks Percy Planner supports

Percy doesn't make you resilient. He produces the evidence these frameworks expect about how you size critical compliance services.

DORA
EU financial entities manage ICT risk and test resilience. Percy's forecast history shows how compliance capacity was planned.
Basel Principles for Operational Resilience
Critical operations should withstand disruption. Percy flags capacity risk to monitoring and screening before a peak.
FATF Recommendation 6
Targeted financial sanctions. Screening that falls behind under load is a gap, and Percy plans to avoid it.
FATF Recommendation 20
Suspicious transactions reported promptly. That depends on monitoring keeping pace with volume.
BSA / FinCEN SAR rule
US banks file within 30 calendar days of initial detection. A monitoring backlog eats into that window.
BCBS 239
Risk data aggregation, including in stress. Percy sizes the systems that produce that data.
Analyst view

What your platform and compliance leads see

Capacity planned around compliance load, with a record of why.

BEFORE PERCY PLANNER
Capacity sized once and revisited after incidents
Peaks handled with manual overtime
Product launches sized late
Screening queues during busy days
No record of how capacity was decided
AFTER PERCY PLANNER
Forecasts updated as volumes change
Peaks flagged weeks ahead
Launch load mapped to compliance systems
Headroom shortfalls sent to the right person early
Every capacity change linked to its forecast and approver
Options

How the options compare

CRITERIA Spreadsheet forecastCloud autoscaling alone Percy Planner, Senior AI Capacity Planning Strategist, an AI agent by FluxForcePercy Planner
When it acts At the next planning cycleAfter load arrives Ahead of forecast peaks
Who decides Platform teamScaling rules Platform lead, inside bands you set
Knows compliance workloads If the author doesNo, it sees CPU and memory Yes, monitoring and screening are sized separately
Handles known events ManuallyNo Yes, from your launch and campaign calendar
Evidence for examiners A spreadsheet versionScaling logs Forecasts, assumptions and approvals on record
Where it's weaker Stale between cyclesReacts late to sudden peaks and can't scale fixed systems Forecasts are only as good as your history and event calendar, and new products have little of either
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 Percy 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 Percy 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.

Percy Planner forecasts the compute and storage your monitoring and screening need, using transaction growth, seasonal peaks and your launch calendar. He flags shortfalls ahead of time and recommends changes to your platform team with the forecast attached.

Only where you allow it, and only with scaling steps you've pre-approved. Other recommendations go to your platform lead by default, and anything that risks screening or monitoring coverage always goes to a person. A kill switch turns Percy off without touching your other systems.

Autoscaling reacts once load arrives and only works where systems can scale on demand. Percy plans ahead for known peaks and growth, and he sizes monitoring and screening specifically.

Percy forecasts on your real volumes and makes recommendations, but nothing changes. You compare his forecasts with what actually happens before acting on any of them.

Transaction volumes by channel, processing times from monitoring and screening, resource metrics, and a calendar of launches and campaigns. More history gives better forecasts.

Yes. He reads metrics through APIs. On fixed infrastructure his recommendations give your team more lead time to add capacity.

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 Percy on your data before anything changes

Run Percy Planner 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