Most mid-market companies (50-5000 employees) are paralyzed by AI—trying to build skyscrapers on cracked foundations. We sit with your team to identify the real bottlenecks, remove immediate friction with quick wins, and architect standardized processes that make automation actually work.
$100K Waste Discovery Guarantee. We quantify your operational inefficiency or you don't pay for the assessment.
We view AI as a precision instrument, not a generic solution. The "Tool-First" approach—implementing software before defining the problem—often leads to misaligned expectations and stalled initiatives.
Our approach is Standardization Before Automation. We deploy Tactical Interim Solutions to immediately relieve operational pressure, creating the necessary bandwidth for your team to assist in building permanent, scalable infrastructure.
"AI is a tool used to accomplish a goal, not the goal itself. Our interim protocols serve as the scaffolding that allows for proper, permanent standardization."
"I spent 5 years watching mid-market companies waste millions on AI tools that sat unused. Not because the AI was bad—because nobody fixed the broken process underneath."
After a decade as a software engineer and 5 years specializing in AI implementation, the pattern became impossible to ignore: boards demanded "AI strategy," consultants sold $500K transformation projects, companies bought expensive tools—and nothing changed. The automation failed because the chaos underneath never got fixed.
That's why I created the TRIAGE framework. Not as theory, but as the practical protocol I wished existed when I was in the trenches: start with the mess, document the reality, remove immediate friction, then—and only then—build permanent automation on stable foundations. Bottom-up, employee-driven, results in weeks.
A systematic, 6-step protocol designed to move companies from paralysis to production.
We sit with your team to identify the real bottlenecks—not what management thinks they are, but what employees actually experience. Data-driven discovery reveals root causes, not symptoms.
We map clear financial outcomes before building anything. If an automation doesn't save measurable hours or dollars, we don't build it. Simple as that.
We design the architecture that connects your disparate data silos into cohesive operational logic. Think of it as building the API for your business operations—making systems talk to each other properly for the first time.
Technology fails if humans don't use it. We build training and change management protocols that actually work—because we involved your team from day one.
We establish the guardrails: security protocols, compliance requirements, and quality controls. Your AI runs within proper boundaries, not as the Wild West.
We measure the impact, track the KPIs we defined in step 2, and iterate for higher efficiency. The system learns and improves—and so does your team's ability to manage it independently.
The typical path from AI chaos to measurable results.
Waste mapping, process documentation, bottleneck identification
Tactical solutions deployed, immediate friction removed
Standardization, automation architecture, team training
We believe in pricing transparency. Here's what our engagements typically cost.
2-week engagement, no commitment
Guarantee: We'll identify $100K+ in recoverable waste or refund your fee.
Based on company size & complexity
Typical ROI: 3-5x investment recovered in first year through capacity gains.
Why the range? Pricing depends on team size (50-5000 employees), number of processes being optimized, existing technical infrastructure, and automation complexity. Discovery assessment provides exact scoping.
Current availability: We maintain a maximum of 8 active engagements to ensure quality. 3 slots available for Q1 2026.
Manual processes and undefined workflows create "Operational Debt." Use this model to estimate the capital currently trapped in inefficient systems.
Traditional consulting is built on billing hours. Our model is built on shipping outcomes. The incentives are finally aligned.
We're not for everyone. Here's an honest comparison to help you find the right fit.
Best for: $500K+ budgets
Perfect for: 50-5000 employees
Best for: <50 employees
We're not McKinsey—we don't spend 6 months building PowerPoints. We're not DIY tools—we don't leave you figuring it out alone. We're the operational architects who get in the trenches with your team to fix what's broken, standardize what works, and build foundations that scale.
Stop guessing. Initiate the TRIAGE protocol and build the infrastructure required for autonomous scale.
30-Day Discovery Guarantee: If we don't identify at least $100K in recoverable operational waste in your first assessment, we'll refund the discovery fee.
McKinsey and Tenex are excellent for F100 companies with $500K+ budgets who need holistic transformation and board-level credibility. We're built for mid-market companies (50-5000 employees) who need practical results fast. We get in the trenches with your team—interviewing employees, mapping actual workflows, implementing quick wins—not spending months in boardrooms building PowerPoints. Our engagements are $50-250K, not $500K+.
That's exactly why we exist. MIT research shows 95% of AI pilots fail—not because the AI is bad, but because the process underneath is broken. You can't automate chaos. We fix the foundation first: documenting what actually happens (not what management thinks happens), removing immediate friction with tactical solutions, then standardizing processes so automation actually works. Most companies skip straight to step 3 and wonder why nothing sticks.
Discovery phase: 2 weeks to quantify waste and map real bottlenecks.
First quick wins: 2-4 weeks to remove immediate friction and free up capacity.
Full implementation: 8-12 weeks for complete TRIAGE cycle (standardization + automation architecture).
Unlike traditional consulting where you wait 6 months to see value, you see measurable improvements in the first month.
Yes—this is one of our most common scenarios. Shareholder mandates without clear strategy lead to expensive failures. We help you respond intelligently: first, we quantify your actual operational waste (the calculator above shows you the math). Then we build a phased roadmap with measurable ROI milestones. You'll have concrete numbers to present to the board within 2 weeks, and demonstrable results within 60 days—not vague promises about "AI transformation."
Absolutely—and you're not alone. Data blindness is the #1 blocker we see. That's why Task Assessment (the "T" in TRIAGE) starts with discovery: we sit with your teams to understand actual workflows, identify where data lives (spreadsheets, databases, tribal knowledge), and document the current state. You can't automate what you don't understand. We make the invisible visible first.
Discovery phase: 5-10 hours of interviews with key team members across operations.
Implementation: Weekly check-ins (1 hour) + access to systems/data + one internal champion (10-15% of their time).
Our philosophy: We build with you, not for you. Your team's insights are critical—they know where the real pain points are.
But we do the heavy lifting on design, build, and deployment.
No—this is the paralysis trap. Waiting for perfect AI agents means losing money today while competitors gain ground. Our approach: deploy tactical interim solutions now to remove immediate friction, which creates breathing room to properly standardize processes. Then when more advanced AI becomes available, you have clean foundations to build on. Companies that wait end up further behind because they never fixed the underlying chaos.
We define clear KPIs upfront in the ROI Mapping phase (the "R" in TRIAGE). Typical metrics:
• Time savings: Hours recovered per employee per week
• Cost reduction: Operational waste eliminated (calculated in dollars)
• Capacity gained: FTE equivalents freed up for higher-value work
• Process reliability: Error rates, completion time, consistency
Every metric ties directly to financials. If we can't measure it, we don't build it.
We document the structural failures that doom billion-dollar AI initiatives—so mid-market companies can avoid making the same expensive mistakes.
MIT research reveals 70% of AI failures stem from organizational issues, not technology. Analysis of $47.4B in enterprise investment and what the 5% who succeed do differently.
Read Analysis → Deep Dive42% of companies abandoned most AI initiatives in 2025. Research reveals why shareholder mandates, data blindness, and the IT trust gap doom enterprise AI—and how mid-market companies avoid these mistakes.
Read Analysis → Case StudyHow we saved an accounting team 70+ hours per month by automating QuickBooks branch payment reconciliation. Real numbers, real ROI: $42K recovered annually.
Read Case Study →