Accelerators

AI Quick Start

An 8-week program that delivers your first functional AI wins. Think automated incident response, intelligent alerting, and measurable impact on MTTR and team productivity.
The Problem

Why AI Quick Start?

Most engineering teams have invested in observability, monitoring, and DevOps tools—but they're still drowning in alerts, manually triaging incidents, and spending hours on repetitive tasks that could be automated. Leadership sees the promise of AI but lacks a clear path from pilot to production value.

Why It's Hard

‍Deploying AI isn't just about turning on features—it requires tuning models to your environment, integrating workflows across tools, and building trust with teams who've been burned by false positives. Without focused expertise, teams waste months experimenting with configurations that never deliver real impact.

The Accelerator Advantage

‍This Accelerator compresses that timeline. In 8 weeks, we implement foundational AIOps capabilities, configure intelligent automation tailored to your systems, and deliver measurable improvements in incident response—so your team experiences AI as a productivity multiplier, not another tool to manage.

Benefits and Metrics

30-40%
fewer alerts through intelligent filtering and anomaly detection
35-50%
faster MTTR with AI-assisted remediation
8 weeks
to AI automation deployed in production

Partner Certifications

THE SOLUTION

What's Included

Every AI Quick Start engagement follows a proven 8-week framework designed to deliver your first production AI wins—fast, focused, and with immediate impact.

Implementation & Configuration

  • Deploy AI-powered observability (Datadog Watchdog, AWS DevOps Guru, or equivalent)
  • Configure anomaly detection tuned to your baseline
  • Build intelligent alert routing and noise reduction
  • Implement first auto-remediation workflows
  • Integrate AI workflows into existing runbooks and escalation paths

Deliverables

  • Live AI-enabled monitoring dashboards
  • Automated incident triage and routing system
  • Noise-reduction rules eliminating 30-40% of alerts
  • Self-healing automation for common incidents
  • Documented playbooks and team enablement
  • Executive results presentation with KPI tracking

Outcomes

  • 30-40% reduction in alert volume
  • 35-50% faster incident resolution (MTTR)
  • Automated responses to recurring issues
  • Engineering team confidence in AI capabilities
  • Foundation for scaling AI adoption across platform
FAQ

Common Questions

See All FAQs
What happens after this Accelerator?

Three options: (1) Operate it yourself with our documentation, (2) Expand AI capabilities through additional Quick Starts (e.g., cost optimization, security automation), or (3) Embed an AI Adoption TechPod for continuous improvement and scaling. Most clients choose option 3 to maintain momentum, but there's zero obligation.

Can this work with our existing monitoring stack?

Yes—we're tool-agnostic and work with Datadog, AWS native tools, Azure Monitor, Splunk, or other platforms. The 8-week timeline assumes foundational observability is already in place. If not, we can scope that separately.

How do you ensure AI actually reduces work instead of creating more?

By tuning models to your baseline, validating automation in non-production first, and building kill switches for any workflow. We measure success by time saved and incidents prevented—not features enabled. If AI increases complexity, we haven't done our job.

Do you work onsite or remote?

Remote-first. We embed through your collaboration tools (Slack, Zoom, Jira) and work within your systems. For critical cutovers or launch weeks, we can arrange onsite presence if it adds value.

How quickly can we start?

Most AI Quick Start engagements kick off within 2 weeks of signing. Our proven playbooks mean minimal ramp-up—we know exactly what access and context we need to move fast.