Non-tech businesses have been underserved by AI consulting. Most AI advisors are pure technologists who see every problem as a technical problem. The result? Over-engineered solutions, missed business outcomes, and operations teams left frustrated and confused.
Surayansh spent the first two decades of his career straddling two worlds: technology and business operations.
On the technology side, he led complex technology implementations for major organizations including the Department of Defense and commercial airlines. He managed large-scale ERP system implementations, enterprise software rollouts, and technology transformations—the kind of projects that require both technical expertise and operational understanding. He learned what works, what doesn’t, and why most technology projects fail (hint: it’s rarely the technology itself).
On the business operations side, he built and ran his own businesses across multiple industries:
Construction and renovation: Built operational systems for complex project delivery, managing timelines, budgets, materials, and teams—understanding the constraints and realities of running a service business
Retail operations: Launched and scaled a vending machine business and home/beauty products retail operation, managing inventory, distribution, customer experience, and unit economics—learning how margin, efficiency, and customer satisfaction drive survival
Commercial kitchens and food service operations: Understood the operational complexity of high-velocity businesses where efficiency directly impacts profitability
He then spent 25+ years as a strategic business support working directly with founders and C-suite leaders at 100+ growth-stage companies. This taught him sales strategy, revenue operations, organizational design, and how to diagnose complex business problems. He developed expertise in analyzing a business, identifying what’s really holding it back, and designing practical solutions that teams can actually execute.
As AI emerged as a transformative technology, Surayansh realized that most organizations—especially non-tech businesses—were approaching AI adoption backwards. They’d hire a CTO or bring in a pure-play technology consultancy and end up with solutions that worked technically but didn’t move the operations needle. Worse, they’d disrupt their teams and spend heavily without clear business return.
He began building a different kind of advisory practice: one that starts with operations problems, assesses whether AI is actually the right solution, designs implementation that builds team capability, and ensures every project delivers measurable operational impact.
His unique combination of experience—25+ years spanning technology implementation, business operations, and strategic business transformation—makes him particularly effective with non-tech businesses. He understands your constraints because he’s lived them.
Pure technology consultants excel at building sophisticated AI systems. But they often struggle to answer the question that matters most to operations leaders: “Will this actually make my warehouse, factory, or service business better?”
This leads to beautiful AI implementations that:
Business consultants excel at identifying opportunities and designing change. But they often lack the technical grounding to assess what’s actually possible with AI, which creates unrealistic expectations and failed implementation. They recommend ideas that sound good but don’t work in practice.
We bridge this gap by combining:
We start by deeply understanding your operations—your margins, your bottlenecks, your competitive pressures, your growth ambitions, and your team's full capacity and workflow. Only then do we explore where AI might help. This means we sometimes honestly recommend against AI. That builds trust much faster than blindly recommending AI for everything.
The goal is never consultant dependency. From day one, we involve your operations team in discovery, strategy, and planning. You make the decisions; we provide clarity and options. By the end of our engagement, your team is equipped to manage next phases independently. You own the strategy and the implementation.
AI success isn't just "we deployed machine learning." It's "we reduced picking errors by 20%," "we freed up 30 hours per week of labor," or "we improved accuracy to 98% and streamlined processes." We obsess over defining success metrics upfront and rigorously tracking progress. If it's not moving the needle, optimize, stop to ensure maximum value and measurable results.
Non-tech operational businesses: Warehouses, manufacturers, logistics providers, construction companies, trading and import companies, retailers, service businesses
Established SMB operations: Typically $5M–$50M revenue; mature enough to commit to change; large enough to see meaningful ROI from AI
Leadership that’s curious but cautious: You recognize AI’s opportunity; you’re skeptical of hype; you want clarity on real impact before committing
Organizations ready to commit: You’re willing to invest time and resources to do this right, not looking for overnight fixes
We’re Probably Not the Right Fit If:
While Surayansh leads most client engagements, we work with a network of specialists as needed: operations optimization experts, technology systems architects, change management advisors, and industry practitioners. This ensures you get relevant, experienced guidance—not theorists or junior consultants.
We focus on getting your strategy right in the first 8 weeks. Then we support your launch and first 90 days of implementation. Beyond that, your team is equipped to continue independently.
We’ll explore your operations, discuss AI opportunities, and determine if we’re the right partner to work together.
