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πŸ‡ͺπŸ‡ΈES
Free Audit β†’
Cloud cost trend: $5k→$9k before (red ascending), $9k→$3k after BCloud audit (green descending), 73% savings

Did Your AWS Bill Increase 300%in 6 Months Without Explanation?

70% of companies spend 35% more than necessary on cloud. I reduce your bill 30-50% guaranteed in 60 days or full refund.

πŸ“Š Free AWS Audit (30 min)πŸ’¬ WhatsApp: How much can I save?

Identify where you're losing money NOW β€’ No commitment β€’ 24h response

30-50% Cost Reduction
Verified real cases
Outcome-Based Pricing
You only pay % of real savings
30-day Guarantee
If you don't save 30%, full refund
AWS Advanced Partner
FinOps Certified
MasterSuiteAI -79.6% costs

The 5 Symptoms of Cloud Overspending

Do you recognize any? (Spoiler: Most suffer all 5)

Annotated AWS bill: EC2 $2,100 over-provisioned, RDS $1,200 without reserved instances, Total $4,800 with potential savings
β˜‘οΈ

Unpredictable Bills

Month 1: $5k. Month 2: $10k. Month 3: $15k. Why?

Your CFO asks and you don't know how to answer

Cost: $40k/year in unplanned overruns

Emotion: Shame + Frustration

β˜‘οΈ

24/7 Idle Resources

Dev environments running on weekends

EC2 instances forgotten since 8 months ago

Cost: $8k/year in zombie resources

35% of your typical bill

β˜‘οΈ

No Idea Who Spends What

Marketing blames Engineering

Without tagging, impossible cost attribution

Cost: Impossible to optimize without visibility

Emotion: Chaos + Helplessness

β˜‘οΈ

Over-Provisioned

You bought m5.8xlarge when m5.2xlarge would suffice

RDS with 10TB storage, only using 800GB

Cost: 40% compute/storage overspending

"I was afraid of running out"

β˜‘οΈ

LLM API Costs Explosion

OpenAI GPT-4: $3k β†’ $8k in 3 months

Without caching, every query calls API

Cost: $50k/year in wasted LLM

"AI is bankrupting us" (2025 pain)

πŸ“Š Typical SaaS Company ($25k/month cloud) LOSES:

$216,000/year

βœ— $35k idle/zombie resources

βœ— $30k over-provisioning

βœ— $25k unoptimized LLM API

= 36% of your cloud budget WASTED
Schedule Free Audit β†’

The Solution: Complete FinOps Audit in 14 Days

Without Disrupting Your Operation - Zero Downtime

DAY 1-3

Read-Only Access

AWS Cost Explorer

(0 downtime)
DAY 4-10

Audit

Identify waste

(Automated tools)
DAY 11-14

Roadmap

Prioritized

(ROI calculated)
DAY 15-60

Implementation

Quick wins

(30-50% savings)
7 FinOps strategies: Rightsizing 35%, Reserved Instances 45%, Spot 70%, Storage 25%, Auto-scaling 40%, Unused 15%, Monitoring

30-50% Bill Reduction

Real case: $15k/month β†’ $5k/month (68% reduction)

ROI: $120k/year - $12k fees = $108k NET

Total Cost Visibility

Real-time dashboard: Who spends what, when, why

Happy CFO, CTO sleeps soundly

Right-Sized Architecture

From "over-provisioned by fear" β†’ "optimized by data"

Same performance, -40% cost

Controlled LLM/AI Costs

Smart caching (70% API call reduction) + model routing

From $5k/month β†’ $3k/month LLM

Ready to see your savings roadmap?

Free 30-min Audit β†’

Real Cases: How I Reduced Cloud Costs

(Last 12 Months - Verifiable Results)

SaaS Startup savings dashboard: Monthly cost $1,600 (-60% from $4k), YTD savings $28,800, high ROI, 98% budget adherence
ML Startup GPU optimization: Utilization 32%β†’87%, cost $9,000β†’$2,700/month (-70%), efficiency +172%

SaaS Startup (Series A-B)

FinTech Startup (Anonymous)

Before
$15k/month
50% reduction
After
$5k/month

Savings: $84k/year

Timeline: 6 weeks | Fee: $18k | ROI: $66k net

What I Did:

  • Kubernetes rightsizing (40% node reduction)
  • RDS reserved instances (65% savings vs on-demand)
  • S3 lifecycle policies (82% storage costs down)
  • Lambda memory optimization (30% faster + cheaper)

"Extended runway by 8 months. We avoided raising a bridge round."

β€” CTO FinTech Startup

AI/ML Company (LLM Heavy)

Chatbot SaaS (Anonymous)

Before
$12k/month
($8k OpenAI + $4k AWS)
64% reduction
After
$5k/month
($3k OpenAI + $2k AWS)

Savings: $84k/year

Timeline: 4 weeks | Fee: $18k | ROI: $66k net

What I Did:

  • Smart caching layer (Redis) β†’ 72% API calls eliminated
  • Model routing (GPT-3.5 turbo for 60% simple queries)
  • Prompt optimization (35% average token reduction)
  • GPU Spot instances (Fine-tuning 78% cheaper)

Cost per conversation: $0.18 β†’ $0.05 (72% reduction)

"Viable unit economics. We secured Series A."

β€” CEO Chatbot SaaS

E-commerce/Retail

E-commerce $20M Revenue

Before
$22k/month
47% reduction
After
$12k/month

Savings: $120k/year

Timeline: 8 weeks | Fee: $22k | ROI: $98k net

What I Did:

  • Intelligent auto-scaling (ML forecasting)
  • CDN optimization (80% requests cache hit)
  • RDS β†’ Aurora Serverless (read replicas)
  • Spot instances (non-critical 70% cheaper)

Black Friday: Same traffic, -52% infrastructure cost

Enterprise (Compliance Heavy)

HealthTech Enterprise (Anonymous)

Before
$45k/month
42% reduction
After
$28k/month

Savings: $204k/year

Timeline: 12 weeks | Fee: $28k | ROI: $176k net

What I Did:

  • Multi-account cost attribution (300+ tags strategy)
  • Reserved Instances (3-year commit, 72% savings)
  • Savings Plans optimization (Compute + EC2 mix)
  • Compliance-ready dashboards (SOC2 audit-ready)

Unique Challenge: Couldn't touch production without compliance validation. Slower process but zero downtime.

FinOps tools: AWS Cost Explorer, Grafana Dashboard, Terraform code, CloudWatch Alarms, Python scripts, Slack notifications
Cloud ROI calculator: Input $15,000 actual spend, Output $6,200/month savings (41%), ROI 9.3x, payback 1.3 months
πŸ’Ό
SaaS Company Portfolio
πŸ’°
Verified Substantial Savings
πŸ“ˆ
Consistent 30-70% Reductions
⚑
Implementation in Weeks

Risk-Free Guarantees: If You Don't Save, You Don't Pay

In 8 years, I've NEVER had to issue a refund. I know it works.

🎯

30% Savings or Refund

If your cloud bill doesn't reduce 30% in 90 days, full refund of the base fee.

Track Record: Clients historically exceed the 30% minimum savings target

πŸ”’

Zero Downtime

Progressive changes, exhaustive testing. If I cause an incident, I compensate 10x the downtime cost.

Track Record: Multiple implementations without critical production incidents

πŸ’Ž

Full Transparency

Fixed pricing from day 1. No hidden fees. If scope changes, re-quote before continuing.

Exit: No penalties. Month-to-month retainer, no lock-in.

πŸŽ“

Knowledge Transfer

Full ownership. Exhaustive documentation. You don't depend on me to maintain savings.

Deliverables: 100-150 pg Runbook, Terraform code, Training videos.

Frequently Asked Questions

How long to see first savings?

Quick wins in 2-4 weeks (20-30% of total savings). Target 30-50% in 8-12 weeks. Outcome-based pricing means you only pay when YOU save.

Does it work if I already have AWS Trusted Advisor?

Yes. Trusted Advisor gives basic recommendations (15% typical savings). I go much deeper: Trusted Advisor says "You have idle resources". I tell you exactly "This EKS cluster has 40% over-provisioned nodes, here's the Terraform for rightsizing + testing plan". Result: 40-50% vs 15%.

Do I need to dedicate a lot of my team's time?

Minimal. Total commitment: ~20 hours over 8 weeks (kick-off 1h, interviews 2h, approvals 4h, UAT testing 8h, training 4h, monthly reviews 1h/month). I do the heavy lifting.

What if I don't get the guaranteed 30% savings?

Full refund of the base fee. In my experience, clients historically exceed the 30% minimum target, achieving reductions between 40-70% depending on the real case. But if for any reason we don't reach 30% in 90 days, I refund all the money. No exceptions.

How does outcome-based pricing work? How much does it really cost?

Free 30-minute initial audit to estimate your potential savings. If it makes sense for both, we work together. You only pay when I generate real verifiable savings on your AWS bill. Fixed pricing from day 1, no hidden fees. If scope changes, re-quote before continuing. No lock-in, month-to-month retainer, no exit penalties.

What deliverables do I receive at the end of the project?

Complete knowledge ownership: Technical runbook (100-150 pages documenting each optimization), Terraform/CloudFormation code to maintain changes, Grafana/CloudWatch dashboard for continuous monitoring, training videos for your team, and post-implementation support. You don't depend on me to maintain savings long-term.

Related Services

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RAG Systems & Generative AI

Implement production-ready RAG systems with LangChain. LLM API costs can explode, optimize with smart caching.

See RAG Systems service β†’
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Automate complex processes reducing operational costs. Multi-agent orchestration with LangChain/LangGraph.

See AI Agents service β†’
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"AWS Cost Optimization Checklist (40 points)"

  • βœ… Quick wins (immediate savings)
  • βœ… ROI calculator
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24h Response
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Verifiable Track Record:

βœ… Portfolio of SaaS Companies
βœ… Documented Substantial Savings
βœ… Reductions between 30-70%
βœ… Rapid Implementation in Weeks

Cloud overspending costs you money every month. How much longer will you wait?

Related Services

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RAG Systems & Generative AI

I implement production-ready RAG systems that connect LLMs with your internal documentation

Learn more

MLOps & Model Deployment

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Autonomous AI Agents

I develop multi-step agents with LangGraph that execute automatic actions

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