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.
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 // KnowBe4
Works With Your Stack
ServiceNow
Jira
Slack
Microsoft Teams
PagerDuty
Opsgenie
Webhook
Rundeck
Stackstorm
Asana
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
The 5 Levels of Cloud Autonomy
Learn the key differences between standard, automated, & autonomous cloud operations — and why they matter for your SLOs.
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.
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.