01 / MARKET STRUCTURE
Find where demand is moving.
Market growth, customer segments, industry shifts, geographic expansion, competitive intensity, pricing, and a defensible TAM, SAM, and obtainable market.
NOMIDDLE / BUILD / AI STRATEGY & DEPLOYMENT
CHOOSE THE RIGHT AI MOVES. DEPLOY WHAT CAN CHANGE THE BUSINESS.
OUR INVESTMENT METHODOLOGY
Start with the market. Then decide where AI earns the right to exist.
We approach AI strategy like an investor and an operator. First we determine where the company can grow, where the economics can improve, and where it can build a defensible advantage. Only then do we choose the AI investments.
02 / BUSINESS ECONOMICS
Understand how the company really makes money.
Revenue mix, contract size, recurring potential, delivery model, revenue per employee, gross margin by offering, customer concentration, and sales-cycle quality.
03 / OPPORTUNITY MAP
Separate growth plays from efficiency plays.
Identify new products, markets, and revenue pools—then map the workflows where AI can improve speed, capacity, service quality, risk, and margin.
04 / INVESTMENT THESIS
Fund the few moves that can compound.
Score each opportunity, choose build versus buy, sequence the portfolio, assign ownership, establish governance, and stop projects that cannot create measurable value.
THE TWO VALUE POOLS
Grow the business. Improve the economics.
An AI investment should open a credible growth path, create meaningful operating leverage, or do both.
GROWTH + EXPANSION
Where can the company go next?
- New AI-enabled products and recurring revenue
- Adjacent industries, buyers, and geographies
- Faster implementation and a stronger customer proposition
- Reusable IP that improves differentiation and stickiness
MARGIN + EFFICIENCY
Where can the company produce more with less friction?
- Automate high-volume knowledge and operating workflows
- Increase delivery capacity without matching headcount growth
- Reduce cycle time, errors, rework, and service cost
- Improve gross margin, EBITDA leverage, and revenue per employee
HOW WE RANK THE PORTFOLIO
Market growthMargin qualityDifferentiationRecurring revenueCustomer stickinessScalabilityExecution risk
YOUR ENGAGEMENT LEAD
Robbie Abed leads every AI Strategy & Deployment engagement.
Robbie brings two decades across enterprise IT, ERP transformation, growth strategy, and marketing. He started in SAP and digital transformation at Accenture and Deloitte—working with Walmart, Microsoft, and Allstate—then served as CIO of a national consulting firm.
Today he leads NoMiddle’s market research, growth strategy, AI investment thesis, operating-model design, and hands-on deployment work. He also served as lead engineer for NoMiddle’s internal Growth Engine, designing and building the software himself. The senior operator in the room is the person doing the work.
20+ YEARSEnterprise IT + growthFORMER CIOOperator-level perspectiveACCENTURE + DELOITTESAP + transformation deliveryCLAUDE · MCP · SAP HANAHands-on AI deployment
Work directly with Robbie →
AI STRATEGY & DEPLOYMENT
Engagements start at $15K/month.
SCOPE AND TERM SET AFTER FIT
Investor-grade market research, growth and margin opportunity mapping, AI investment thesis, portfolio sequence, operating model, governance, deployment, and adoption leadership.
RESEARCH · UNDERWRITE · DEPLOY · SCALE
DEPLOYED AI CASE STUDY · TLT DIGITAL COACH
AI turned executive-development IP into a digital coach used by multinational consulting firms.
We used AI to turn TLT’s leadership methodology into a personalized executive coach now used inside multinational consulting firms. The product learns how each leader thinks, builds an individual development profile, and turns that context into specific, ongoing coaching.
THE TRANSFORMATION
A limited expert methodology becomes an enterprise product: personalized, repeatable, multilingual, and available whenever a leader needs it.
See TLT Digital Coach →MAKE AI A BUSINESS MOVE. NOT A SIDE PROJECT.
Send the growth ambition, the operating constraints, and the AI ideas already in motion.
robbie@nomiddle.com