Revenue Engineer | Predictable, Scalable, Sustainable Revenue

Scott Howard builds revenue engines through customer success driven business development.

I am a Revenue Engineer and entrepreneur. I partner with founders and innovative executives to unlock predictable, scalable, and sustainable revenue through technology enabled customer success.

Leverage my twenty years on the leading edge of enterprise and startup technology business development to access an ecosystem of exponential technologies and growth. Cloud, SaaS, Mobile, Big Data, Blockchain, XR, AI, and Agentic Engineering; I have been there and done that and will help you navigate the journey to becoming an exponential organization.

Your Success is my product. I will build an ecosystem of talent, technology, and champions around you that will fuel your revenue engine.

Let's connect and engineer your revenue engine for success.
https://linktr.ee/scottjhoward for more background  
Book Me: https://meetings.hubspot.com/scott-howard

American companies spent an estimated $644B on enterprise AI in 2025. 
70–95% of those deployments never reached meaningful production.

Vendors got revenue, consultants got fees, and boards got big AI transformationheadlines. 

But operators were left with:
- Pilots that never scaled
- Copilots that don't coordinate across systems
- Mounting opportunity cost as real automation was deferred or ignored.

This failure isn't an AI problem. It's a governance and incentives problem. 
The current model rewards:
- Token consumption over business outcomes
- Slideware, POCs, and vanity metrics over deployed workflows
- Tech-led experiments over operator-led process change.

If you're a CEO or P&L owner, the question isn't "What's our AI strategy?" anymore. 

It's now "how do we use AI to deliver results?" and strategically: "How do we avoid becoming part of the next $644B in economic vandalism?" (post by Srinivas Rao in the comments).

That's why we built Brinc AI Studio: a business-driven, time-boxed path from problem statement to working solution in 90 days, for business workflows.

Key principles:
- Start from a sharp business problem, not a model demo.
- Co-design with operators who own the P&L and the process.
- Use AI to augment deterministic workflows and coordination, not as a band-aid.

Powered by:
- A Rotman MBA–validated applied innovation methodology
- Brinc's global VC and startup network
- The BoVerse platform, already proven with startups, SMBs, and corporates.

If 2025 was the year of AI capex, 2026 has to be the year of AI-driven productivity gains and financial ROI.

If you're responsible for turning AI promises into actual EBITDA, let's talk.
Drop "Studio" in the comments or DM me to turn your next AI effort into a 90-day, operator-led, outcomes-first challenge.

Scott Howard 🍁/acc

Delivering Predictable, Scalable, Sustainable Revenue

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