Boise-first relationships • Nationwide delivery • SMB focus • Enterprise-ready discipline
AI Implementation for Growing Businesses
Reduce manual work. Improve margins. Build long-term competitive advantage.
We design, deploy, and manage practical AI systems that eliminate operational bottlenecks while positioning your business to scale intelligently — without hiring an in-house AI team.
From roadmap → pilot → managed production infrastructure.
AI Readiness & Opportunity Assessment — $1,500–$2,500 (Boise cohort $1,250 limited) — 1–2 weeks
AI is no longer optional — but implementation risk is real.
- Increasing operational cost pressure
- Manual document-heavy workflows
- Knowledge trapped in individuals
- Delayed customer response cycles
- No internal AI leadership
Most AI initiatives fail because they start with tools — not strategy. We start with ROI, governance, and operational leverage.
Automation, response time improvement, administrative reduction, and margin lift from better operational throughput.
Governance, decision support, and a scalable AI foundation that compounds advantage over time.
Turn implementation risk into a focused plan.
Start with a strategy call or take the AI Readiness Assessment to see your highest-leverage next steps.
Start small, prove ROI, then scale.
Each package is built to deliver immediate operational efficiency while creating strategic capability you can compound over time.
- AI readiness assessment + ROI model
- One production-grade pilot
- Governance baseline + risk controls
- 90-day execution roadmap
- Secure knowledge assistant (RAG)
- Faster internal operations and response time
- Role-based permissions + auditability
- Scalable capability for future workflows
- Sustained quality, reliability, and performance
- Continuous optimization and cost control
- Governance updates as operations evolve
- Quarterly improvement roadmap
Managed infrastructure that makes AI stick
Most AI projects fail after the build—when deployments, costs, and vendor sprawl get messy. We manage the deployment layer across your stack with a single view of status, costs, and changes.
- Deployment monitoring & incident visibility
- Environment management and change tracking
- Cost transparency (showback/chargeback)
- Reliability + governance practices baked in
A delivery model that keeps AI practical.
We focus on the shortest path to measurable impact — while keeping risk, security, and maintainability front-and-center.
Map workflows, find bottlenecks, and size ROI. Choose a pilot that pays back fast.
Build one production-grade use case with metrics, guardrails, and stakeholder buy-in.
Harden reliability, security, and operations. Integrate with the tools your team already uses.
Measure quality + cost over time. Improve, expand, and keep governance current as the business grows.
Scenario: Regional Accounting Firm (35 employees)
Tax season creates a surge of manual document intake and classification. Senior staff spend hours on administrative routing instead of client-facing work.
AI-powered intake automation paired with an internal knowledge assistant — deployed with governance controls, audit trails, and role-based access from day one.
- ~60% reduction in manual document review
- Faster client turnaround during peak periods
- Reduced staff burnout and overtime
- Expected ROI within ~4 months
AI doesn’t replace your team. It amplifies them.
See what practical AI outcomes can look like in your business.
Start with a strategy call or take the AI Readiness Assessment to see your highest-leverage next steps.
Enterprise rigor, without the enterprise drag
AI is moving fast — new tools, new platforms, new possibilities every week. But for most small and growing businesses, it’s hard to know where to start or who to trust. I built stait.ai to bridge that gap: bring two decades of enterprise engineering and leadership experience to SMBs and deliver turnkey AI solutions that actually work in production — not just in a demo.
I’ve spent 20+ years building and scaling software teams at companies like Intuit, Idaho Power, Devon Energy, and Northrop Grumman. Most recently I led AI-enabled development transformation across Intuit’s Workforce Solutions organization of 300+ engineers. I’ve seen what works at enterprise scale — and I know how to distill that into practical, right-sized implementation for growing businesses.
- Senior Software Engineering Manager at Intuit — led teams building and shipping products that power small businesses across the QuickBooks ecosystem
- Led AI-enabled development transformation across 300+ engineers with CTO-level visibility
- Former engineering manager at Idaho Power and enterprise architect at Devon Energy
- Lead Software Engineer at Northrop Grumman — DoD aerospace systems
- BS Computer Science, MBA, Stanford Executive Program in Corporate Innovation
Permissions, citations, audit trails, and guardrails are built into delivery.
Track quality, usage, and ROI so systems improve instead of drifting.
Design with least-privilege access and governance controls from day one.
Implementation includes workflows and team readiness, not just tooling.
Ready to find your highest-ROI AI pilot?
Book a short call. We'll identify 1–2 strong use cases, estimate ROI, and outline a pilot plan you can execute immediately.
Boise meetings available • Serving clients nationwide (remote-friendly)