Frequently Asked Questions

Features & Capabilities

How does Sedai integrate with ITSM and alerting tools for autonomous optimization?

Sedai integrates with ITSM platforms such as ServiceNow and Jira to ensure every autonomous optimization action is logged as a formal change request. This provides a complete audit trail and traceability for compliance. Additionally, Sedai pushes notifications for executed optimizations, new opportunities, and system health events directly to Slack, Microsoft Teams, PagerDuty, Opsgenie, Asana, Webhook, Rundeck, Stackstorm, and email, so teams stay informed without extra dashboards. Note: Integration depth may vary by tool; check documentation for specifics.

Can Sedai's autonomous actions require approval before execution?

Yes, Sedai can be configured to pause before executing a change and wait for an authorized approver in your ITSM tool (such as ServiceNow or Jira). This allows organizations to enforce gated approvals for production environments while enabling autonomous execution in development, aligning with enterprise governance policies. Note: Approval workflow configuration may require ITSM admin involvement.

What makes Sedai's autonomous optimization safe for production environments?

Sedai is designed with safety-by-design principles, including continuous health verification, automatic rollbacks, and incremental changes. Every action is monitored before, during, and after execution to ensure no incidents or SLO breaches occur. If risk is detected, Sedai automatically reverses changes. This approach allows for safe, gradual optimizations in production environments. Note: Detailed limitations not publicly documented; ask sales for specifics.

Which ITSM and alerting tools does Sedai support?

Sedai supports integration with ServiceNow, Jira, Slack, Microsoft Teams, PagerDuty, Opsgenie, Webhook, Rundeck, Stackstorm, Asana, and email. This allows organizations to connect Sedai with their existing workflows for change management, notifications, and automation. Note: Some advanced features may require additional configuration.

How does Sedai ensure traceability and auditability of autonomous actions?

Every autonomous action performed by Sedai generates a formal change record in your existing ITSM platform (e.g., ServiceNow or Jira). All actions are logged, linked, and reviewable, providing complete traceability and auditability for compliance and governance purposes. Note: Audit log retention policies depend on your ITSM configuration.

Use Cases & Benefits

What problems does Sedai solve for organizations using change management workflows?

Sedai addresses the lack of visibility and compliance risk associated with autonomous changes that bypass traditional ITSM processes. By integrating with ITSM and alerting tools, Sedai ensures every optimization is logged, traceable, and subject to governance policies. This reduces compliance risk, provides audit trails, and keeps teams informed in real time. Note: Best fit for organizations with established ITSM workflows; teams without formal change management may not benefit from these features.

What measurable business impact can Sedai deliver?

Sedai delivers up to 50% reduction in cloud costs by rightsizing workloads and eliminating cloud waste, reduces latency by up to 75%, and automates repetitive tasks for up to 6X productivity gains. It also reduces failed customer interactions by up to 70% through proactive issue resolution. These outcomes are based on customer case studies and platform benchmarks. Note: Actual results may vary depending on environment and configuration.

Who can benefit most from Sedai's autonomous optimization platform?

Sedai is designed for IT/cloud operations managers, FinOps leads, technology leaders (CTO, CIO, VP Engineering), site reliability engineers (SREs), and platform engineers in organizations focused on cloud cost efficiency, compliance, operational productivity, and application performance. Note: Teams with highly custom or legacy ITSM processes may require additional integration work.

Technical Requirements & Implementation

How long does it take to implement Sedai and start seeing results?

Initial setup for Sedai can be completed in as little as 15 minutes using agentless or agent-based deployment. For AI Agent Optimization, implementation typically takes two to three weeks. For Databricks environments, setup can be completed in under 15 minutes. Note: Full integration with ITSM and alerting tools may require additional configuration time depending on your environment.

Where can I find technical documentation and onboarding resources for Sedai?

Comprehensive onboarding guides, Kubernetes optimization instructions, Databricks setup steps, and GPU optimization documentation are available at docs.sedai.io/get-started. These resources help users adopt Sedai effectively and maximize its benefits. Note: Some advanced topics may require direct support from Sedai's team.

Security & Compliance

What security and compliance certifications does Sedai have?

Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements and industry standards for data protection and compliance. For more details, visit the Sedai Security page. Note: Additional certifications may be in progress; contact Sedai for the latest status.

Pricing & Plans

How is Sedai priced and what factors determine the cost?

Sedai uses a resource-based pricing model, where costs are determined by the resources optimized and the value delivered. For Kubernetes environments, tailored pricing is available. All costs are transparently outlined on the Sedai pricing page, with no hidden fees. Discounts from connected cloud billing accounts (e.g., Reserved Instances or Savings Plans) are factored into cost and savings calculations. Note: For specific pricing, contact Sedai sales or request a demo.

Customer Proof & Success Stories

What customer results and case studies are available for Sedai?

KnowBe4 achieved up to 50% cost savings and reduced average response time from 18.5 seconds to 80 milliseconds (a 99.5% reduction) using Sedai with AWS Lambda. Palo Alto Networks saved $3.5 million through Sedai's optimization. Belcorp reduced AWS Lambda latency by 77%, and Campspot achieved a 34% reduction in latency. For more, see Sedai's resources page. Note: Results are customer-specific and may not be representative of all environments.

What feedback have customers given about Sedai's ease of use and onboarding?

Customers report that Sedai is easy to implement, with initial setup taking as little as 15 minutes. They appreciate agentless or agent-based deployment options, seamless integration with existing tools, and minimal management burden due to autonomous operation. Personalized onboarding, extensive documentation, and a community Slack channel provide real-time support. Note: Some advanced integrations may require additional onboarding assistance.

Introducing Sed: Your cloud & AI assistant

Meet Sed
Sedai Logo

Autonomous Optimization That Respects Your Change Process

Sedai integrates with your ITSM and alerting tools so every action is logged, traceable, and subject to the same governance policies as any other change.

Change Management Wasn't Designed for Autonomous Decisions

ITSM workflows and approval gates are built around human-paced change requests. Autonomous optimization runs on a different clock — and most governance tooling hasn't caught up yet.

Autonomous changes are invisible to the change record.

If they don't generate tickets, they don't exist as far as ITSM is concerned — no audit trail, no traceability, no compliance coverage.

Approval workflows assume a human is proposing the change.

Most ITSM processes have no path for machine-initiated actions, so autonomous optimization either bypasses governance or gets blocked by it.

Alerting can't tell optimization from incidents, and there's no rollback signal.

On-call teams can't distinguish an expected adjustment from a real problem, and reversing a change means manual intervention.

Key Capabilities

Sedai's ITSM and alerting integrations ensure autonomous optimization is never a black box. Every action is controlled, visible, and aligned with your enterprise workflows.

Enforce Change Control Automatically

Sedai creates a formal change request in ServiceNow or Jira for every optimization, ensuring all autonomous actions are logged within your existing ITSM platform.

Require Approval Before Sedai Acts

For sensitive environments, configure Sedai to pause before executing a change and wait for an authorized approver in your ITSM tool. Production stays gated; dev can run freely

Keep Teams Informed Without Extra Dashboards

Sedai pushes notifications for executed optimizations, new opportunities, and system health events directly to Slack, Teams, or PagerDuty — no manual monitoring required.

“We've had an incredible journey with Sedai so far. It's been very, very easy for us to implement. If you’re considering autonomous optimization, just do it!”

Matt Duren - VP of Engineering

Matt Duren

VP of Engineering // KnowBe4

Works With Your Stack

ServiceNow

Jira

Slack

Microsoft Teams

PagerDuty

Opsgenie

Webhook

Rundeck

Stackstorm

Asana

Email

The Sedai Difference

Without Sedai

  • Autonomous actions bypass change control, creating compliance risk
  • No audit trail connecting optimization actions to their outcomes
  • Approval workflows require engineers to check a separate tool
  • The same approval overhead applies to every environment
  • Teams learn about optimization activity after the fact, if at all
  • Every Sedai action generates a formal change record in your existing ITSM platform
  • Complete traceability: every action is logged, linked, and reviewable
  • Sedai pauses and waits for approval within ServiceNow or Jira before acting
  • Per-environment configuration: gated approvals for production, autonomous execution for dev
  • Sedai proactively pushes notifications to Slack, Teams, or PagerDuty as events occur

Resources

Why AI Isn't Making Eng Teams Faster with Sashanka Vishunvajhala, Text Says, "AI Broke Your SDLC"

Why AI Isn't Actually Making Eng Teams Faster

In this episode of 1 IDEA, Suresh Mathew sits down with Sashanka Vishnuvajhala (SVP of Engineering @ Fanatics) to break down why and how he rebuilt the entire pipeline from spec to production.

The 5 Levels of Cloud Autonomy

Learn the key differences between standard, automated, & autonomous cloud operations — and why they matter for your SLOs.

KnowBe4 ROI Video Thumbnail.png

How KnowBe4 Achieved ROI in 5 Months with Sedai

KnowBe4, the leader in security training, used Sedai to achieve up to 50% savings on its Amazon ECS clusters in production.

$5M ARR Changed Everything

The Startup Within A Startup Playbook

John Wang (Co-Founder @ Assembled) did what most companies talk about but rarely pull off: he spun up a four-person AI team inside an existing company, ran it like a YC startup, and hit millions in ARR in 18 months. But the board was angry, the org nearly split, and the sales team couldn't sell the product.

Autonomous. Auditable.

Aligned With How Your Organization Works.