Workflow Builder for SRE
Build or Pre-Built? Get Best of Both!
Build your own agentic workflows or start with ready-to-use AI assistants, NudgeBee gives you everything to automate cloud operations securely, the way want. Just flexible building blocks that fit your stack.
Pre-built AI Agents
Pre-Packaged Assistants & Agentic Ops Workflows for most use cases. For the rest, its easily customizable & extensible.
SRE AI-Assistant
Find and fix issues faster with AI-driven root-cause analysis and guided remediation.
FinOps AI-Assistant
Continuously monitor and right-size cloud resources to cut waste and optimize spend.
K8s Ops AI-Assistant
Manage day-2 Kubernetes operations upgrades, API deprecations, workload diagnostics.
Build your own Agents
Build Agentic Workflows tailored to your use cases, without the complexity of managing AI models, or integrations.
Create Custom AI Agents
Build intelligent, guardrailed agents that automate your cloud and SRE workflows, your way.
Build New Custom Prompt Functions
Add reusable, context-aware logic that makes every workflow smarter and consistent.
Connect Tools & Integrations
Use your existing tools/software into secure, governed automations with full visibility and control.
Ready-to-use AI Assistants
for your CloudOps workflows.
These assistants are built on the same NudgeBee workflow engine - fork, extend, and make them your own.
From usage to savings instantly
30–60% cloud cost reduction
Automated right-sizing, with guardrails
Continuous optimization, not one-time fixes
Automate day-2 operations at scale
Eliminate repetitive ops toil
Safe automation with approvals & guardrails
Higher reliability with the same team
Day-2 Kubernetes ops, simplified
Safer upgrades with pre-checks & guardrails
Catch breakages before production
Less Kubernetes toil for SRE teams
The Core Intelligence Behind Every NudgeBee Workflow
NudgeBee combines an AI-Agentic Workflow Engine and a Semantic Knowledge Graph to connect your tools, data, and contex, enabling automation that’s modular, explainable, and enterprise-grade.
Fully customizable, with modular SLMs, agents, and tools for enterprise use. Easily extend with your own LLMs, APIs, and workflows
Linkages between entities connecting config., logs, metrics, traces, cloud bills, SLA/SLO, tickets, code, secrets, config files, etc.
Your AI, Your Rules, Your Infrastructure
Connect any model - OpenAI, Anthropic, Gemini, Llama, or your in-house LLMs. Run everything in your own environment.
Monitor token and cost usage per workflow or team. Set limits, audit, and budget your AI costs like any other resource.
Enforce compliance and data privacy while customizing your AI stack the way you want.
SOC 2 Type II certified
ISO 27001 certified
Data Privacy & Security
Fully self-hosted or private-cloud
No customer data ever leaves your environment
End-to-end encryption (in-transit + at-rest)
Models are never trained on your data.
Model Layer Security
Dedicated model isolation for each tenant
No customer data used for training
Tested against prompt injection & data leakage
RBAC at user, app, and agent levels.
Works with your existing stack, from Kubernetes to observability, CI/CD, and ticketing tools. No replacements needed.
AWS
EKS
AWS Fargate
ECS
AWS Lambda
Azure
AKS
Container Apps
App Service
Azure Functions
GKE
Cloud run
On Prem
OpenShift
Rancher
Works with Existing Observability & Monitoring Stack
Metrics
Prometheus
Chronosphere
VictoriaMetrics
Mimir
Logs
Loki
Logstash
Datadog
Splunk
Traces
Google Traces
eBPF
Otel
Clickhouse
Jaeger
Native cloud services
AWS CloudWatch
Azure Monitor
gcp Trace
GCP cloud logging
Seamlessly Integrates
with Enterprise User Tools
Messaging
Slack
MS Teams
G chat
Ticketing
ServiceNow
Github Issues
Jira
Code Repos
Github
Gitlab