Jason - AI AWS Infrastructure Assistant
Available for Hire Cloud & Infrastructure Cost & Deployment Engine

Jason

AI AWS Infrastructure Assistant

One AI Assistant for
FinOps, DevOps, SecOps & SRE

FinOps leads eliminate idle EBS volumes and NAT gateways. DevOps engineers diagnose Lambda and ECS crashes. SecOps audits public S3 buckets and IAM keys. SREs triage CloudWatch alarms — all by plain English chat.

⚙️ 99.9% SRE Uptime · Instant Diagnostics
99.9% System Uptime
Instant Incident Triage
Jason
Jason — AI AWS Infrastructure Assistant
Connected • Active
Show all unattached EBS volumes and idle NAT Gateways incurring charges in us-east-1.
Jason
AWS Cloud Waste Audit — us-east-1:

• 6 Unattached EBS Volumes (gp3): 1,200 GB total • Cost: $96.00/month (Unused for >30 days).
• 1 Idle NAT Gateway (nat-04a1bc8): 0 bytes processed in 14 days • Cost: $32.40/month + data idle fee.

Total Immediate Monthly Savings: $128.40/month ($1,540/year).
Snapshot & Delete EBS Delete Idle NAT Cost Explorer Briefing
Diagnose why ECS Fargate task "order-service" crashed in production.
Jason
ECS Task Crash Analysis (order-service-prod):
• Exit Code: 137 (OOMKilled) at 14:22 UTC.
• Root Cause: Memory usage hit hard limit (512 MB) during batch invoice PDF export.
• Fix Recommendation: Increase task definition memory reservation from 512MB → 1024MB. Updated Terraform snippet generated.
Official AWS SDK & API Integration 28% Average Monthly Cloud Bill Reduction Scoped IAM Role with External ID Sub-60s Container & Lambda Crash Diagnostics Automated Public S3 Bucket Remediation Official AWS SDK & API Integration 28% Average Monthly Cloud Bill Reduction
Autonomous Capabilities

9 Major Capabilities of Your AI AWS Infrastructure Assistant

Everything your organization needs to eliminate repetitive manual bottlenecks, enforce operational compliance, and accelerate team velocity 24/7.

Risk Prevention

Real-Time Risk Scoring & Anomaly Alerts

Monitors ongoing operations, flagging anomalous deviations, policy breaches, and emerging roadblocks before they escalate.

Proactive Detection Audit Guardrails Zero Blindspots
24/7 Execution

Autonomous Job Scheduling & Continuous Cadence

Executes scheduled recurring runs at optimal enterprise cadences, ensuring continuous coverage without human intervention.

Cron Schedules Zero Drift 24/7 Uptime
Ecosystem Sync

Cross-Platform Ecosystem & API Orchestration

Integrates natively across your enterprise stack with bi-directional webhooks, scoped OAuth 2.0 permissions, and real-time syncing.

400+ Connectors Bi-Directional Enterprise APIs
Risk Prevention

Real-Time Risk Scoring & Anomaly Alerts

Monitors ongoing operations, flagging anomalous deviations, policy breaches, and emerging roadblocks before they escalate.

Proactive Detection Audit Guardrails Zero Blindspots
24/7 Execution

Autonomous Job Scheduling & Continuous Cadence

Executes scheduled recurring runs at optimal enterprise cadences, ensuring continuous coverage without human intervention.

Cron Schedules Zero Drift 24/7 Uptime
Ecosystem Sync

Cross-Platform Ecosystem & API Orchestration

Integrates natively across your enterprise stack with bi-directional webhooks, scoped OAuth 2.0 permissions, and real-time syncing.

400+ Connectors Bi-Directional Enterprise APIs
Risk Prevention

Real-Time Risk Scoring & Anomaly Alerts

Monitors ongoing operations, flagging anomalous deviations, policy breaches, and emerging roadblocks before they escalate.

Proactive Detection Audit Guardrails Zero Blindspots
24/7 Execution

Autonomous Job Scheduling & Continuous Cadence

Executes scheduled recurring runs at optimal enterprise cadences, ensuring continuous coverage without human intervention.

Cron Schedules Zero Drift 24/7 Uptime
Ecosystem Sync

Cross-Platform Ecosystem & API Orchestration

Integrates natively across your enterprise stack with bi-directional webhooks, scoped OAuth 2.0 permissions, and real-time syncing.

400+ Connectors Bi-Directional Enterprise APIs
Built for Your Role

What Does Your Role Need From AWS?

Select your role to see the exact prompts FinOps leads, DevOps engineers, SecOps analysts, and SREs use every day.

FinOps & Cloud Cost Manager

Eliminate Idle Compute, Review Savings Plans & Forecast Bills.

Cloud infrastructure bills explode when unattached EBS volumes, zombie NAT gateways, and oversized EC2 instances are left running indefinitely. Your AI assistant audits unattached volumes, calculates Savings Plans coverage, and forecasts bills by chat.

"Show all unattached EBS volumes and idle NAT Gateways incurring charges this month."
"Generate an AWS Cost Explorer breakdown comparing this month vs last month by service."
"Calculate our EC2 and RDS Reserved Instance (RI) and Savings Plans coverage percentage."
"Audit S3 storage classes and recommend lifecycle rules to transition cold buckets to Glacier."
"Forecast our end-of-month AWS bill based on current run-rate across all linked accounts."
"Identify underutilized EC2 instances running with <5% average CPU utilization for 14 days."
AW
AI AWS Assistant
FinOps Mode
Show underutilized EC2 instances running with <5% CPU utilization for 14 days.
AW
2 Underutilized Instances Flagged:
• i-08a49c9 (m5.2xlarge): Avg CPU 2.1% • Cost: $280.32/mo (Staging QA cluster).
• i-04f21e1 (c5.xlarge): Avg CPU 3.4% • Cost: $122.64/mo.
Downsizing both to t3.medium saves $328/month ($3,936/year).
Cloud DevOps Engineer

Diagnose Container Crashes, Lambda OOMs & Terraform Drift.

DevOps engineers spend hours parsing CloudWatch Log streams to understand why Fargate containers exited with code 137 or Lambda functions timed out. Your AI assistant diagnoses root causes, generates Terraform snippets, and triggers service rollbacks.

"Diagnose why Lambda function 'OrderProcessor' is failing with memory timeout errors."
"Show all ECS Fargate tasks crashing with exit code 137 (OOM killed) in production."
"Check status of our AWS CodePipeline deployment and summarize recent build error logs."
"Generate CloudFormation/Terraform snippet to provision an S3 bucket with KMS encryption."
"Audit CloudFront distribution cache hit ratios and SSL certificate expiration dates."
"Roll back ECS service 'CheckoutAPI' to previous stable task definition revision."
AW
AI AWS Assistant
DevOps Mode
Diagnose why Lambda function 'OrderProcessor' is timing out.
AW
Lambda Failure Triage (OrderProcessor):
• Error: Task timed out after 3.00 seconds (32 invocations failed in last hour).
• Root Cause: RDS PostgreSQL connection pool exhaustion causing slow handshake.
Recommended fix: Increase Lambda timeout to 10s and enable RDS Proxy to pool DB connections.
Cloud Security & Compliance Lead

Audit Public S3 Buckets, IAM Over-Privilege & GuardDuty Findings.

Cloud breaches almost always start with public S3 buckets, unrotated IAM access keys, or missing multi-factor authentication on root accounts. Your AI assistant audits IAM policies, identifies high-severity GuardDuty findings, and isolates compromised credentials.

"Audit all S3 buckets in our AWS organization for public read or write access."
"Show high-severity Amazon GuardDuty security findings reported in the last 24 hours."
"Find IAM users with AdministratorAccess policy attached who don't have MFA enabled."
"Audit inactive IAM access keys older than 90 days that have not been rotated."
"Verify that AWS CloudTrail is enabled with multi-region logging and log file validation."
"Revoke compromised IAM access key AKIA... and isolate affected EC2 instance."
AW
AI AWS Assistant
SecOps Mode
Audit all S3 buckets for public read/write access.
AW
S3 Security Scan (42 Buckets Checked):
• 41 Buckets: Block Public Access = ENABLED (Compliant).
• 1 Bucket Publicly Accessible: company-marketing-assets-temp has public read enabled via legacy bucket policy.
1-click button ready to apply AWS S3 Account-Level Block Public Access.
Site Reliability Engineer (SRE)

Triage CloudWatch Alarms, RDS Spikes & API Gateway Latency.

When high-priority pager alerts trigger at 2 AM, SREs need instantaneous answers on whether it's an AWS regional outage, an unindexed RDS database query spike, or an API gateway 502 error surge. Your AI assistant triages alarms and scales capacity in seconds.

"Show all active Amazon CloudWatch alarms in ALARM state across US-East-1 region."
"Diagnose why RDS PostgreSQL database CPU utilization spiked to 98% at 3:00 PM."
"Check AWS Health Dashboard for any active service outages affecting our VPCs."
"Scale up Auto Scaling Group 'FrontendASG' desired capacity from 4 to 8 instances."
"Audit API Gateway 5XX error rates and identify which downstream microservice is failing."
"Analyze CloudWatch Logs Insights query for top 10 slowest HTTP request paths."
AW
AI AWS Assistant
SRE Mode
Diagnose why RDS PostgreSQL CPU spiked to 98% at 3:00 PM.
AW
RDS Performance Insights Analysis (db-prod-cluster):
• Top SQL Query: Full table sequential scan on audit_event_logs (Missing index on created_at).
• Active Connections: Spiked from 40 → 280 concurrent sessions.
Proposed index DDL generated: CREATE INDEX CONCURRENTLY ....
Custom AI Employee Studio · 10-Step Builder

Need a Custom AI AWS Assistant?
Build & Tailor in 10 Steps

Want custom AWS cloud cost optimization, serverless deployments, and IAM management workflows, proprietary playbooks, bespoke integrations, or specialized business rules? Follow these 10 steps to design, customize, test, and deploy a custom AI AWS Assistant tailored precisely to your company's operational motion.

1
Identity
2
Roles
3
Skills
4
Tasks
5
Schedules
6
Workflows
7
Memory
8
HITL
9
Testing
10
Deploy
1
Name & Identity
Give your AI employee a name, department, and operating persona
Start by giving your AI AWS Assistant an identity. This is how your team will interact with it across Slack, Microsoft Teams, email threads, and the executive dashboard. Define its department and configure its communication style for peer-to-peer enterprise execution.
Pro tip: Give it a recognizable name like "AI AWS Assistant" so team members can mention it in Slack channels just like any other colleague.
Create AI Employee — Identity
AA
Online · Ready to configure
2
Roles & Responsibilities
Define what your AI AWS Assistant is accountable for
Establish clear ownership for your AI AWS Assistant. Each role maps to a verified set of capabilities, platform connectors, and execution policies. Your AI employee operates with direct accountability — managing end-to-end tasks without requiring human hand-holding.
Pro tip: Start with core departmental responsibilities and expand anytime. Your AI employee learns your company SOPs and coordinates complex workflows continuously.
Assign Roles — AI AWS Assistant
Idle Cloud Resource Elimination
Idle Cloud Resource Elimination
Container & Lambda Diagnostics
Container & Lambda Diagnostics
IAM Security & Least Privilege
IAM Security & Least Privilege
CloudWatch Alarm Triage
CloudWatch Alarm Triage
3
Skills Configuration
Select and configure modular capabilities and tool connectors
Enable modular skills tailored for your operational requirements. Each skill connects to verified enterprise software integrations via secure OAuth2 or API tokens. Toggle skills on or off in one click with zero engineering dependencies.
Pro tip: Every skill comes pre-trained on industry best practices and enforces strict data validation before executing writes to production systems.
Skills Catalog — AI AWS Assistant
Idle Cloud Resource Elimination
Bi-Directional APIFinOps Intelligence
Container & Lambda Diagnostics
Human-in-the-LoopScheduled Jobs
IAM Security & Least Privilege
FinOpsCost
CloudWatch Alarm Triage
WasteDevOps
4
Tasks Assignment
Define daily operational deliverables and priority tiers
Specify the daily task backlog your AI AWS Assistant will execute. Tasks can run on autonomous schedules or trigger in real-time when team members send requests via chat. Critical items take priority to prevent operational delays.
Pro tip: Set high-impact triage and alert tasks to Critical priority. This guarantees sub-minute reaction times whenever issues or high-priority requests arrive.
Task Backlog — AI AWS Assistant
1
Execute idle cloud resource elimination audit & status verification
Critical
2
Execute container & lambda diagnostics audit & status verification
High
3
Execute iam security & least privilege audit & status verification
High
4
Execute cloudwatch alarm triage audit & status verification
Medium
5
Execute guardduty threat remediation audit & status verification
Medium
5
Schedules & Cron Jobs
Set recurring cron times for autonomous execution
Configure exactly when each recurring process runs using RhinoAgents' enterprise job scheduler. Define cadences in plain English — morning audits, hourly scans, and weekly executive digests. Your AI employee operates around the clock without downtime.
Pro tip: Schedule morning scans prior to office hours. Your team starts each day with resolved requests, updated records, and clean summary briefings waiting in Slack.
Schedule Engine — AI AWS Assistant
07:00 AM
Morning operational audit & pending queue scan
Daily
Every 15m
Real-time event ingest, triage & autonomous resolution
Active
01:00 PM
Midday velocity check & SLA milestone verification
Daily
05:30 PM
End-of-day execution recap & exception digest to Slack
Daily
Fri 04:00 PM
Weekly executive analytics & productivity briefing
Weekly
6
Workflows & Automation
Construct visual end-to-end execution pipelines
Build end-to-end automated pipelines connecting triggers, intelligence nodes, decision logic, and tool actions. When events occur, the entire execution flow fires autonomously with built-in rollback protection and complete status logging.
Pro tip: Add conditional branch logic to handle edge cases. High-confidence routine paths run instantly, while high-value actions pause for quick team sign-off.
Visual Workflow — AI AWS Assistant
Event Trigger (Bi-Directional API)
Context & Policy Evaluation
Validation Check
Autonomous Action (FinOps Intelligence)
HITL Approval (if > threshold)
Verified & Logged to Audit Trail
7
Memory & Knowledge Base
Upload company SOPs, manuals, rubrics, and guidelines
Equip your AI AWS Assistant with private institutional memory. Upload company handbooks, playbooks, rubrics, API specifications, and style guides. RhinoAgents' vector RAG engine securely indexes these documents to ensure every output strictly adheres to your internal standards.
Pro tip: Upload real past examples of high-performing work. Your AI employee extracts formatting nuances, terminology, and tone directly from your best files.
Knowledge Base — AI AWS Assistant
AI AWS Assistant Standard Operating Procedures.pdf
Indexed · 48 pages
Indexed
Enterprise Compliance & Quality Rubric.docx
Indexed · 24 rules
Indexed
Historical Benchmark & Best Practice Dataset.xlsx
Indexed · 1,420 rows
Indexed
System Integration & Schema Reference.json
Indexed · 12 endpoints
Indexed
8
Human-in-the-Loop Rules
Configure 1-click approvals for sensitive operations
Maintain rigorous oversight without bottlenecking daily throughput. Define which actions execute autonomously and which require 1-click sign-off from designated team leads in Slack or Microsoft Teams. Full speed where safe, 100% control where critical.
Pro tip: Approvals are delivered as interactive Slack cards. Review context, diffs, and estimated impact, then click Approve or Reject in one second directly from your phone.
HITL Safety Gates — AI AWS Assistant
Sensitive State Transitions or High-Value Actions
Requires 1-click team lead approval in Slack before write commit
Approval Required
Routine Data Extraction, Reconciliation & Ingest
Runs autonomously with full cryptographic audit logging
Auto-Run
Out-of-Policy Exceptions or Unmatched Records
Quarantined immediately with incident card dispatched to designated lead
Approval Required
Daily Telemetry & Digest Dispatches
Published to private department channels automatically on schedule
Auto-Run
9
AI Evaluation & Testing
Validate accuracy and test edge cases before deployment
Test your AI AWS Assistant against real-world sample prompts, messy data inputs, and edge-case scenarios before granting production write access. Verify that guardrails hold, integrations authenticate, and outputs meet your quality bar.
Pro tip: Run synthetic test conversations across three different difficulty tiers to calibrate accuracy scores and ensure bulletproof reliability.
Test Results — AI AWS Assistant
99.2%
Domain Accuracy & Adherence Benchmark
Evaluated against 5,000+ synthetic and historical enterprise prompts
Pass
< 1.8s
End-to-End Processing Latency
Average turnaround time per event ingest and execution cycle
Pass
99.98%
Integration Reliability & Uptime
Continuous automated health checks with auto-retry logic
Pass
Workflow Logic & Gate Verification
All trigger → action → decision → output branches validated
Pass
Multi-Channel Delivery Test
Slack, Teams, Email, and Webhook dispatch latency sub-1.5s
Pass
10
Deploy & Run Your AI AWS Assistant
Go live in under 24 hours — full telemetry for $20/mo
Your AI AWS Assistant is fully configured and ready to join your team. One-click deploy connects it to your live workspaces. Team members can chat with it immediately, while managers track execution via real-time dashboards and audit logs.
Pro tip: Review telemetry and completed actions at the end of day one. Teams typically report Reclaims 25+ hours/week per operator within the first week of deployment.
AI AWS Assistant — Live Console
Deploy AI AWS Assistant
Agent Status
Online · Running 24/7
Operational Output
100% operational uptime · Zero-defect execution
Business Impact
Reclaims 25+ hours/week per operator
Audit Log
Complete immutable trail active
Verified Customer Stories

Rated 4.9/5 by High-Growth Organizations

See how leading enterprise teams eliminate manual bottlenecks, enforce compliance, and accelerate output 24/7 with their AI AI AWS Infrastructure Assistant.

2x Strategic Velocity

"Having Jason run our weekly operations cadence and monitor departmental deliverables has completely eliminated cross-functional silos. Our strategic execution speed has doubled."

15+ Hrs Saved / Wk

"Board decks, investor updates, and weekly executive briefings that used to take days of manual data aggregation are now ready in minutes. Jason connects all our tools into one unified executive brain."

Zero Missed Deadlines

"The autonomous scheduling and proactive risk-flagging that Jason provides ensures zero deliverables fall through the cracks. It has become an indispensable member of our leadership team."

AWS Cloud & FinOps Automation Fit

Engineered for Every Stage of AWS Infrastructure Scale

From cutting unattached EBS volumes and right-sizing EC2 instances to generating secure IAM policies and CloudFormation templates — optimize AWS workloads 24/7.

Early Cloud • $1k–$10k/Mo AWS

Startups & Emerging Tech Companies

Slash runaway cloud bills before they burn your runway. Detect idle RDS instances, unattached EBS volumes, and unoptimized S3 storage tiers automatically.

Ideal For
Early SaaS Startups, Digital Agencies, App Developers, Tech Consultancies
25–40% AWS Bill Reduction • Automated Right-Sizing
Growth Architecture • $20k–$150k/Mo AWS

Scaling Tech Companies & FinOps Teams

Automate AWS Well-Architected Framework reviews, Reserved Instance/Savings Plan purchase modeling, Terraform IaC generation, and multi-region failover tests.

Ideal For
Series B-D Scale-Ups, E-Commerce Infrastructure, FinTech Platforms
100% Well-Architected Compliance • Auto FinOps Alerts
Enterprise • Multi-Account AWS Control Tower

Global Cloud Footprints & Enterprise Landing Zones

Govern enterprise multi-account AWS Organizations, Service Control Policies (SCPs), automated IAM least-privilege auditing, and SOC 2/HIPAA guardrails.

Ideal For
Global Tech Corporations, Financial Institutions, Enterprise Health Systems
Zero Over-Privileged IAM Roles • Immutable Audit Trails
Deployed Across High-Scale Cloud Environments
B2B SaaS & Cloud Platforms FinTech & Banking Infrastructure HealthTech & Telehealth (HIPAA) High-Traffic E-Commerce Sites Online Gaming Studios & Infrastructure Media Streaming & Content Delivery AI / ML Training & Inference Clusters EdTech & University Research
Simple, Transparent Pricing

Start Free. Scale as You Grow.

Transparent pricing with zero per-seat user taxes. Choose the tier that matches your current momentum and deploy your autonomous workforce in minutes.

Free Trial
Experience your first autonomous agent live in production.
$0 / 14 days
  • 1 Autonomous AI Agent Role
  • 1,000 Free Action Credits
  • Core Web & Document Tools
  • Community & Knowledge Base
  • No Credit Card Required
Start Free 14-Day Trial
Starter
Ideal for solo operators, local businesses, and small teams.
$20 / month
  • Up to 3 AI Employee Roles
  • 10,000 Monthly Action Credits
  • Full Knowledge Base (RAG) Sync
  • Calendar, Email & CRM Sync
  • Unlimited Human Teammates
Deploy Starter Agent
Business
For mid-market and enterprise teams commanding custom governance.
$99 / month
  • 10+ Autonomous AI Roles
  • 150,000+ Monthly Credits
  • 400+ Enterprise Connectors
  • SOC 2 Type II & HIPAA Ready
  • Custom VPC & Private Deployments
  • Dedicated SLA & Solution Engineer
Launch Business Tier
14-Day Risk-Free Trial Zero Per-Seat User Taxes Cancel Anytime in 1 Click SOC 2 Type II & HIPAA Ready Live Production in <10 Mins
Got Questions?

Frequently Asked Questions

How does this integrate with AWS?
RhinoAgents AI AWS Assistant connects via official AWS SDKs and APIs authenticated through secure IAM Cross-Account Roles with External ID verification or AWS STS temporary credentials. It strictly adheres to least-privilege IAM permissions.
Can FinOps, DevOps, SecOps, and SRE all share one assistant?
Yes. One deployment serves your entire cloud organization. FinOps leads slash unattached EBS volumes and idle NAT gateways. DevOps engineers diagnose Lambda and ECS crashes. SecOps audits public S3 buckets and IAM keys. SREs triage CloudWatch alarms. Each role uses tailored prompts.
Does it execute AWS actions or just monitor?
It can do both. Routine metrics and log queries execute instantaneously. High-impact actions (like terminating EC2 instances, deleting EBS volumes, or modifying IAM policies) strictly require human-in-the-loop 1-click confirmation in Slack.
How long does setup take?
Under 15 minutes. Deploy our pre-configured CloudFormation template to create a scoped IAM cross-account role, connect Slack or Microsoft Teams channels, and your AI assistant begins auditing cloud resources immediately.
Is our cloud infrastructure architecture and data kept private?
Yes. We never store customer application payload data. All interactions are protected under SOC 2 Type II compliance, TLS 1.3 encryption, and a strict zero-model-training policy.
Who is this AI AWS Assistant built for?
This AI employee is built for organizations across 3 primary tiers: (1) Startups & Emerging Tech Companies (Early SaaS Startups, Digital Agencies, App Developers, Tech Consultancies) — Slash runaway cloud bills before they burn your runway. Detect idle RDS instances, unattached EBS volumes, and unoptimized S3 storage tiers automatically.; (2) Scaling Tech Companies & FinOps Teams (Series B-D Scale-Ups, E-Commerce Infrastructure, FinTech Platforms) — Automate AWS Well-Architected Framework reviews, Reserved Instance/Savings Plan purchase modeling, Terraform IaC generation, and multi-region failover tests.; and (3) Global Cloud Footprints & Enterprise Landing Zones (Global Tech Corporations, Financial Institutions, Enterprise Health Systems) — Govern enterprise multi-account AWS Organizations, Service Control Policies (SCPs), automated IAM least-privilege auditing, and SOC 2/HIPAA guardrails.. Key supported industries include B2B SaaS & Cloud Platforms, FinTech & Banking Infrastructure, HealthTech & Telehealth (HIPAA), High-Traffic E-Commerce Sites, Online Gaming Studios & Infrastructure, Media Streaming & Content Delivery, AI / ML Training & Inference Clusters, EdTech & University Research.
How much does AI AWS Assistant cost?
RhinoAgents offers transparent pricing with no per-seat human fees: Free Trial ($0 for 14 days, 1 AI employee, 1,000 credits), Starter ($20/month for up to 3 AI employees, 10,000 credits), Pro ($49/month for up to 5 AI employees, 50,000 credits with persistent memory & Human-in-the-Loop), Business ($99/month for up to 10 AI employees, 150,000 credits with 400+ connectors), and Custom Enterprise plans ($1,000+/month) with dedicated VPC or on-premise deployment. Unlimited human team members can collaborate with the AI employee without paying extra user seat fees.
Your Whole Cloud Team. One AI AWS Assistant.

Connect in 15 minutes. Slash idle cloud compute bills. Diagnose container crashes. Audit IAM security — all for $20/month.