AI Adoption Accelerator
A 3–6 month embedded engagement that transforms how your enterprise adopts AI — from strategy through production — with humans firmly in control of every change that ships.
70% of AI Projects Never Reach Production
Every CTO has read the same headlines. AI can transform operations, cut costs, and multiply engineering velocity. And yet most organizations — even excellent ones — are not using AI in any meaningful way.
Data Quality
Fragmented, inconsistent data makes AI models unreliable. Without a clean data foundation, every model underperforms.
No Clear Strategy
Adopting AI without a roadmap leads to isolated experiments, wasted budget, and organizational frustration instead of compounding gains.
Wrong Models
Choosing the wrong model for the use case — overfit, underfit, or misaligned — produces results no one trusts and no one uses.
Organizational Friction
AI adoption is not a tooling change — it's an organizational transformation. You can't hand someone a license and expect results.
Within a year, paying engineers to write code by hand without AI assistance will be the equivalent of paying someone to do long division instead of using a calculator.
From Assessment to Production in 3 Steps
We don’t teach theory. We sit with your people, change how they work, and make sure the changes stick after we leave.
Discover
Assess Opportunities
We audit your workflows, data systems, and engineering practices end to end. We identify where AI integration delivers the most immediate value and where friction will slow adoption.
- Full workflow and codebase audit
- Friction mapping and opportunity ranking
- Data quality assessment
- Champion identification — the internal owner who sustains the changes
Build
PoC + Production
We restructure the things that need to change and build a proof of concept against your highest-value use case — then harden it into a production system.
- Repository and infrastructure preparation
- Proof of concept against top-priority use case
- Production hardening — monitoring, fallbacks, human oversight gates
- Hands-on training alongside every build sprint
Deploy
Integration + Monitoring
We integrate the system into your existing workflows, train your team to own it, and establish monitoring so you know when something drifts.
- Full integration with existing systems and processes
- Observability and drift detection setup
- Champion enablement — your team can onboard new engineers independently
- Final assessment against baseline metrics
Measurable Wins Across Every Industry
We’ve delivered AI systems at every scale — from precision manufacturers to financial services to healthcare — with outcomes measured in dollars and hours, not slide decks.
Reduction in specification search time for a precision manufacturer — AI-powered knowledge retrieval embedded in technician workflow.
Recovered through automated contract review — AI that reads what humans miss, flagging risk clauses at scale.
Reduction in prior authorization processing time — built to HIPAA standards with physician workflow at the center.
Improvement in support ticket resolution — AI that understands your codebase, your stack, and your customers’ language.
Improvement in demand forecasting accuracy — seasonal pattern recognition built for thin-margin operations.
Sustained engineering velocity improvement at client organizations — gains that persist and compound after the engagement ends.
The Cost of Inaction Is Higher
For a 10-person engineering team, even a conservative 25% velocity improvement on a $1.5M payroll delivers $375K per year — every year after the engagement ends.
3–6 month engagement at $30K/month. Equivalent to hiring 2–3 additional engineers for the same period — except the engineers leave and the improvements don’t.
20–40% velocity improvement on a $1.5M engineering payroll. Recurring, every year, compounding as the team continues to improve their practices.
Based on conservative assumptions. Most clients recover the full engagement cost within 6–8 months and see positive ROI every month thereafter.
Choose Your Starting Point
Every engagement starts with a Discovery Sprint. Most clients move to a full Accelerator engagement once they see what’s possible.
Discovery Sprint
A focused audit of your engineering workflows, data systems, and current AI readiness. You leave with a prioritized roadmap and a clear picture of what’s possible.
- Workflow and codebase audit
- Opportunity ranking by ROI
- Data quality assessment
- Actionable adoption roadmap
PoC Build
We build a production-ready proof of concept against your highest-value use case — complete with monitoring, fallbacks, and a trained internal champion.
- Everything in Discovery Sprint
- Working production PoC
- Observability and monitoring setup
- Team training alongside every sprint
Full Accelerator
The complete embedded engagement. We retool your entire engineering organization to build with AI — workflows, infrastructure, skills, and culture.
- Everything in PoC Build
- 70+ hrs/mo instructional time
- 70+ hrs/mo engineering contributions
- Full handoff and independence
Start Your AI Adoption Journey
The companies that retool now gain a compounding advantage. Most engineering organizations are 12–18 months behind the current state of the art. Schedule a free discovery call today.
Schedule a Discovery Call Back to HomeWe respond to all inquiries within 24 hours. · Minimum 3-month engagement · $30,000/month