PHASE 4/5 — IN DEVELOPMENT

AI Capacity Planning That Cuts Cloud Waste by 40%

Percy Planner — Senior AI Capacity Planning Strategist

Your cloud bill grows every month, but 40% of what you pay for sits
idle. Outages still happen because scaling is reactive. Percy Planner reduces cloud overprovisioning by 40%, predicts peak loads hours in advance, and delivers measurable monthly infra cost savings. Predictive. Not reactive.

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Percy Planner

Senior AI Capacity Planning Strategist

coming soon

40%

Cloud Overprov. Reduction

Hours

Peak-Load Prediction Lead Time

Measured

Forecast Accuracy (% Variance)

High

Right-Sizing Acceptance Rate

Monthly

Infra Cost Savings ($)

Target metrics from design specifications. Validation pending Phase 4/5 deployment.
Trusted by Teams across Banking, Fintech, Insurance, and Global Trade
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THE PROBLEM

The Problem Your Infrastructure Team Faces Every Month

Your cloud bill arrives and it is higher than last month. Again. Your team overprovisions to avoid outages during peak periods, but most of that capacity sits idle 80% of the time. When peak load hits unexpectedly, reactive auto-scaling is too slow — and outages still happen.

According to Flexera's 2025 State of the Cloud Report, organizations waste an average of 32% of their cloud spend on overprovisioned or idle resources. For mid-market financial institutions, that translates to $500K-$2M in annual waste.

 

Cloud overprovisioning

Teams overprovision by 40%+ to create safety margins. This waste compounds monthly. According to Gartner, through 2027, 60% of infrastructure and operations leaders will encounter public cloud cost overruns that negatively impact their budgets.

 

No capacity forecasting

Without predictive models, scaling is reactive. Reactive auto-scaling takes minutes to respond — but peak load spikes can cause degradation or outages in seconds. According to the Uptime Institute, 60% of outages cost more than $100,000, with 15% costing over $1 million.

 

Right-sizing resistance

Infrastructure teams know they should right-size,but manual analysis is time-consuming and risky. Without AI-driven confidence in the recommendations, teams default to overprovisioning. The result: growing cloud bills and no clear path to optimization.

JOB DESCRIPTION 

What Percy Planner Does — Job Description

Percy Planner is a Senior AI Capacity Planning Strategist that operates across your infrastructure as a dedicated capacity optimization and forecasting specialist.

PERCY PLANNER  

Senior AI Capacity Planning Strategist | FF-CAP 

 Not Built — In Development 

Reports To

Your CIO / Head of Infrastructure 

Works With

 Existing cloud platforms, monitoring tools, and billing systems

Deployed In

 Phase 4/5 (observation mode first) 

KEY RESPONSIBILITIES

01

Analyze compute/storage usage across all cloud providers and on-premise infrastructure 

02

Forecast capacity needs using historical data,growth projections, and seasonal patterns 

 

03

Predict peak loads hours in advance to enable proactive scaling 

04

Generate right-sizing recommendations with projected cost savings per resource 

05

Track and report monthly infrastructure cost savings from optimization actions  

AUTONOMY MODEL

Low risk —  Acts autonomously (monitoring, non-prod right-sizing) 

Medium risk — HITL by default (configurable) 

High risk —  ALWAYS human review (non-negotiable)

  You configure the threshold per environment

Kill switch : Disable instantly

PERFORMANCE METRICS

Measured Performance — Not Promises

These metrics are from Percy Planner's design specifications,
pending validation in Phase 4/5 deployment.

40%
Cloud Overprovisioning Reduction
less waste across infra
Measured
Forecast Accuracy
% variance reported
Hours
Peak-Load Prediction Lead
in advance
Tracked
Right-Sizing Acceptance Rate
per recommendation
Measurable
Monthly Infra Cost Savings
$ savings per month
AWS
Multi-Cloud Coverage
Azure,GCP, on-prem unified view
100%
Utilization Visibility
all resources monitored
100%
Audit Trail Coverage
every action logged

Inputs: Compute/storage usage, txn load history, growth projections, cost data, cloud billing | Primary Layer: Learning Layer + Platform Services | Last updated: March 2026

HOW IT WORKS

How AI Capacity Planning Works with Percy Planner

Percy Planner connects to your existing cloud platforms and monitoring tools — no infrastructure changes. Here is how capacity is optimized:

01

Analyze

Percy Planner ingests data from your cloud providers (AWS, Azure, GCP),on-premise infrastructure, monitoring systems (CloudWatch, Prometheus),and cloud billing platforms. Compute usage, storage utilization,transaction load history, and cost data are analyzed continuously.

02

Forecast

AI models predict future capacity needs using historical patterns, seasonal trends, business event calendars, and growth trajectories. Peak loads are predicted hours in advance. Forecast accuracy is measured and reported as percentage variance against actual usage.

 

03

Recommend

Services are migrated  Right-sizing recommendations are generated for every resource:
  • Overprovisioned compute instances → optimal instance type and size
  • Idle storage volumes → archive or delete recommendations
  • Under-provisioned resources → scale-up recommendations
  • Each recommendation includes projected $ savings and risk score

04

Optimize

 Based on your autonomy settings:
  • Low risk → Implemented automatically (non-prod, idle resources)
  • Medium risk → Queued for infrastructure review (configurable)
  • High risk → Escalated to infrastructure lead (always)
Monthly cost savings are tracked and reported. Your FinOps team gets measurable results, not dashboards.

 
 

Want to See Your Cloud Waste in Real Numbers?

Request early access to Percy Planner. Run an infrastructure assessment across your cloud estate — see exactly where you are overprovisioning and how much you can save.

COMPLIANCE & REGULATORY MAPPING

Regulatory Frameworks Supported

AI capacity planning for regulated financial institutions requires more than cost optimization — it requires operational resilience. Every capacity recommendation Percy Planner generates is validated against the operational requirements that apply.

DORA

DORA

Operational resilience capacity requirements for ICT systems

PCI DSS

PCI DSS

Infrastructure capacity for payment processing systems

SOC 2

SOC 2

System availability and capacity management controls

Basel III/IV

Basel III/IV

Infrastructure for capital and liquidity reporting systems

ISO 27001

ISO 27001

Availability and capacity management for information security

FCA/PRA

FCA/PRA

Operational resilience capacity requirements for UK firms

YOUR ANALYST'S VIEW

What Your Infrastructure Team Sees

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See the waste. Predict the peaks. Save every month.

BEFORE vs AFTER  

BEFORE PERCY PLANNER

  • 40%+ overprovisioning 
  • Reactive scaling 
  • Manual right-sizing 
  • Unknown waste  
  • Cloud bill surprises 

AFTER PERCY PLANNER        

  • Optimized utilization
  • Peak prediction hours ahead
  • AI recommendations 
  • Measured $ savings/month 
  • Predictable cost trend

ROI — AI CAPACITY PLANNING vs HIRING vs LEGACY TOOLS

AI Capacity Planning Cost Comparison — 2026

How does Percy Planner compare to hiring infrastructure engineers or using legacy monitoring tools?

Criteria Hire 3 Infrastructure Engineers Legacy Monitoring + Manual Planning  Percy Planner
   Annual cost  $480K-$900K (salary + benefits) $100K-$300K (tooling + ops)  Not yet priced (Phase 4/5)
Timeline  10-20% (manual analysis) 5-15% (alert-based) 40% (AI-driven)
Peak-load prediction None (reactive) Basic (threshold alerts) Hours in advance
Right-sizing accuracy  Manual, inconsistent Rule-based, partial AI-optimized, per resource
Multi-cloud visibility  Per engineer per platform Tool-dependent Unified across all providers 
Scales with infrastructure     Hire more ($$) License more ($$)  Auto-scales 
   Available 24/7   No (shifts needed)   Yes (alerting only)   Yes (prediction + optimization)
  Cost savings tracking    Manual, quarterly     Limited   Automated, monthly
  Audit trail    Manual documentation     Partial logging   100% immutable

 

Key insight: According to Flexera, organizations waste an average of 32% of their cloud spend. For a financial institution spending $2M per year on cloud infrastructure, that is $640,000 in waste. Infrastructure engineers average $120,000-$160,000 per year (Glassdoor). Percy Planner reduces overprovisioning by 40% with measurable monthly savings — typically paying for itself within the first quarter.

WORKS BEST WITH

Agents That Work Best with AI Capacity Planning

Percy Planner delivers maximum impact when paired with these FluxForce SuperHumans:

Cory Bankson

Director AI Core Banking Modernization

Modernizes the core banking platform that Percy plans capacity for 

Learn now

Theo Surge

Lead AI Transaction Surge Controller

Manages real-time transaction scaling that Percy forecasts and optimizes

Learn now

Riya Intel

Director AI Governance & Model Risk

Governs the AI models that Percy uses for capacity  forecasting and optimization

Learn now
TRUST BUILDERS

 Built for CIOs and Infrastructure Teams

Configurable Autonomy

Low risk: Percy acts autonomously for monitoring, forecasting, and non-production right-sizing.
Medium risk: HITL by default (configurable).
High risk: Always human review for production infrastructure changes and capacity reductions during peak periods. You set the threshold per environment.

Kill Switch

Disable Percy Planner instantly. No system impact. No downtime. One click. Infrastructure continues operating with existing configurations.

Shadow Mode

 Run Percy Planner in observation mode. Forecasting and recommendation only — no changes to infrastructure. Validate forecast accuracy and right-sizing quality before enabling active optimization.

Explainability

Every forecast, recommendation, and optimization action includes clear reasoning — what data supports the prediction, what savings  are projected, and what risk exists. Your CIO and FinOps team can evaluate every recommendation before action.

Audit Trail

Every analysis, forecast, recommendation, and optimization action is logged with immutable, tamper-evident records. Resource → usage pattern → forecast → recommendation → action → cost savings.

No Migration

Sidecar integration. Percy connects to your existing cloud platforms, monitoring tools, and billing systems. Your infrastructure stays untouched until you approve optimizations.

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Questions? We Have Answers star

Frequently Asked
Questions

AI capacity planning works by analyzing historical compute and storage usage, transaction load patterns, and growth projections to forecast future infrastructure needs. Systems like Percy Planner by FluxForce predict peak loads hours in advance, generate right-sizing recommendations, and reduce cloud overprovisioning by 40% — transforming reactive scaling into predictive, cost-optimized infrastructure management.
Cloud overprovisioning occurs when organizations allocate more cloud resources than workloads require — paying for idle capacity. According to Flexera's 2025 State of the Cloud Report, organizations waste 32% of cloud spend on overprovisioned resources. For financial institutions spending $1M-$5M annually on cloud, that represents $320K-$1.6M in waste. AI capacity planning reduces this overprovisioning by 40%.
AI capacity planning predicts peak loads hours in advance by analyzing transaction history, seasonal patterns, business events, and real-time traffic trends. Percy Planner provides sufficient lead time to pre-scale infrastructure proactively — avoiding the degradation and outages that occur when reactive auto-scaling cannot respond fast enough. According to the Uptime Institute, 60% of outages cost over $100,000.
Infrastructure right-sizing matches cloud resource allocations to actual workload requirements. AI capacity planning automates this by continuously analyzing usage patterns and recommending optimal instance types, sizes, and quantities. Percy Planner tracks right-sizing acceptance rates and measures the resulting monthly cost savings — giving your FinOps team measurable results, not just recommendations.
AI capacity planning uses configurable autonomy. Low-risk actions (monitoring, forecasting, non-production right-sizing) are handled autonomously. Medium-risk actions (production right-sizing, scaling policy changes) default to human review but can be configured. High-risk actions — production capacity reductions during peak periods — always require human review. Your CIO configures the threshold per environment.
Yes. AI capacity planning works across AWS, Azure, GCP, and on-premise infrastructure simultaneously. Percy Planner provides a unified view of capacity utilization, overprovisioning, and optimization opportunities across your entire infrastructure estate — regardless of where workloads run. This multi-cloud visibility eliminates the silos that cause waste to go undetected.
FluxForce pricing is customized based on transaction volume, regulatory requirements, and deployment model. Contact our team for a tailored quote.
AI Capacity Planning — 40% Less Waste. Peak Prediction. Monthly Savings.
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