AI Agents Overview
A complete overview of all AI agents in neurals.
Sheldon
Strict policy enforcement across clouds
- OPA policy eval
- IAM audits
- Tag enforcement
- CI/CD gates
- Drift detection
Leonard
Actionable insights linking spend to business
- Spend analysis
- Savings plans
- Rightsizing
- KPI tracking
- Executive summaries
Penny
Clear updates for finance and engineering
- Weekly briefings
- Incident comms
- Budget updates
- Follow-ups
- Multichannel delivery
Howard
Safe, approved fixes via IaC
- Cleanup orphans
- Rightsizing PRs
- Tag scripts
- Cost guardrails
- Canary rollout
Raj
Unifies insights across AWS, Azure, GCP
- Unified cost view
- Normalization
- Comparables
- Cross-cloud anomaly
- Inventory explorer
Bernadette
Plans, contracts, and purchase optimization
- Savings plans
- RI portfolio
- Negotiation briefs
- Commitment analysis
- Validation tracking
Amy
Predicts spend and flags anomalies
- Forecasting
- Spike detection
- Budget variance
- RCA
- Model retraining
Stuart
Finds forgotten resources and tidies up
- Orphan detect
- Unused network
- Idle DB/cache
- S3 lifecycle
- Runbooks
Kripke
Challenges designs with cheaper alternatives
- Architecture review
- Cost comparison
- Trade-offs
- Anti-patterns
- Cost-aware SLOs
Priya
Leadership visibility into cloud economics
- Exec dashboards
- Budget tracking
- Compliance overview
- Savings tracking
- Alerts
How Agents Work Together
All neurals agents work seamlessly together. When Tota organizes your inbox, it can identify emails that need draft replies. When you join a meeting, Tota takes notes that are included in your daily briefing.
As we add new agents, they'll automatically integrate with existing ones, creating a unified workflow that gets smarter over time.