Accelerators

AI Opportunity Assessment

A 4-week diagnostic that identifies where AI delivers real value in your environment. No hype, no guesswork. Just a data-driven roadmap with prioritized use cases, ROI projections, and quick wins you can act on immediately.
The Problem

Why AI Opportunity Assessment?

Most engineering leaders know AI can drive efficiency, but they don't know where to start. Teams waste months chasing pilots that sound promising but deliver no measurable business value. Leadership sees competitors adopting AI and feels pressure to "do something," but without a clear plan, efforts scatter across disconnected experiments that never scale.

Why It's Hard

AI isn't just about turning on features—it requires understanding your current processes, identifying high-leverage automation opportunities, and ensuring your data foundations can support intelligent workflows. Without focused expertise, organizations start with the solution ("Where should we use AI?") instead of the problem ("What outcomes do we need?"), leading to wasted budget, low adoption, and failed pilots that undermine confidence in AI altogether.

The Accelerator Advantage

This Accelerator compresses discovery into 4 weeks. We analyze your toolchain, interview your teams, assess your data maturity, and deliver a prioritized roadmap with concrete use cases, effort estimates, and ROI projections—so leadership has clarity and engineering has a path forward that's grounded in real operational needs, not vendor promises.

Benefits and Metrics

$1M+
identified annual savings through targeted automation opportunities
10-15
prioritized use cases ranked by impact and effort
2-3
quick wins deployable in 30-90 days with clear ROI

Partner Certifications

THE SOLUTION

What's Included

Every AI Opportunity Assessment follows a proven 4-week framework designed to surface high-impact opportunities, quantify potential value, and create a roadmap you can execute. Fast, focused, and tied directly to business outcomes.
Discovery & Analysis
  • Workshops with engineering, ops, platform, and business leaders
  • Toolchain and workflow analysis across DevOps, observability, security, and FinOps
  • Data maturity assessment and readiness evaluation
  • Cultural and process review to identify adoption barriers
  • Competitive landscape review and peer benchmarking
Deliverables
  • Comprehensive maturity scorecard across people, process, data, and technology
  • Prioritized roadmap with 10-15 ranked use cases
  • Quick-win playbook with 2-3 immediate opportunities
  • ROI projections and effort estimates for each use case
  • Risk assessment and mitigation strategies
  • Executive presentation with decision framework
Outcomes
  • Data-driven baseline of current AI readiness
  • Clear understanding of highest-leverage automation opportunities
  • Practical plan to integrate AI into operations safely and with measurable ROI
  • Alignment across engineering, ops, and leadership on priorities
  • Foundation for scaling AI adoption beyond initial pilots
FAQ

Common Questions

See All FAQs
What happens after this Assessment

Three options: (1) Execute quick wins yourself using our playbook, (2) Engage us on a targeted AI Quick Start to prove value on a specific use case, or (3) Embed an AI Adoption TechPod for continuous delivery and scaling. Most clients choose option 2 to validate ROI before committing to longer-term programs, but there's zero obligation.

What if we don't have good data or mature processes?

That's exactly what we assess. Part of the deliverable is identifying data gaps, process bottlenecks, and foundational work needed before AI can deliver value. We'll tell you what needs to be fixed first and help you prioritize foundational improvements alongside quick wins.

How is this different from vendor assessments?

Vendor assessments are designed to sell you their platform. We're tool-agnostic and focused on what actually works for your environment. We evaluate AWS, OpenAI, Anthropic, and purpose-built tools based on your needs, not ours. Our recommendations are grounded in operational reality, not vendor roadmaps.

How quickly can we start?

Most AI Opportunity Assessments kick off within 2 weeks of signing. We need stakeholder availability for workshops in Week 1, but otherwise ramp-up is minimal. We know exactly what access and context we need to move fast.