FAQ
Questions a leader asks first.
Growth strategy, answered plainly.
Q1. What is AIPath?
AIPath is the Decision Intelligence platform for growth strategy. AIPath generates and tests growth strategy for the CEO, continuously, and hands every team the instruction. AIPath is the first entrant in Growth Decision Intelligence, the vertical the operational decision platforms left open: they decide fraud, credit and supply chains, and AIPath decides growth.
Q2. What is Growth Decision Intelligence?
Growth Decision Intelligence is decision intelligence applied to the growth decision: which segments, positions and bets a company funds next. Gartner published its first Magic Quadrant for Decision Intelligence Platforms in January 2026, and every platform named decides operational risk. AIPath defined the growth side of the category: forward-looking simulation and in-market testing for the C-Suite, applied to the one decision that sets the budget for all the others.
Q3. How is AIPath different from ChatGPT for growth strategy?
A general model is the engine, not the platform. AIPath attaches every growth idea to the experiment that would prove it, runs the most promising simulations and tests in your market, and feeds each verdict back into a model of your company that gets more intelligent every week. A chatbot's confident answer with hidden reasoning is a slot machine with good grammar; AIPath shows the reasoning behind every recommendation.
Q4. How do CEOs test growth strategy before committing budget?
By treating strategy as testable hypotheses instead of opinions. AIPath maps the full option space, hundreds of thousands of strategic configurations, ranks every path against the growth goal that matters at your stage, then runs the strongest as live in-market tests against controls. Budget follows evidence. In one insurance deployment, AIPath's recommendations cut acquisition cost from $240 to $43 in a single quarter.
Q5. How is AIPath different from strategy consulting?
Consulting is episodic and ends in slides. AIPath runs continuously and ends in a tested, sequenced instruction for every team, re-ranked as the market moves. An engagement expires the week the partners leave; AIPath compounds, at an annual cost below a single consulting deck. The firms address the same decision with no execution layer and no model that learns.
Q6. What proof exists that AIPath works?
An insurance deployment of IGE, the methodology engine inside AIPath, cut acquisition cost from $240 to $43 in one quarter. A telco CEO watched 17 minutes of AIPath exceed what his 50-person team had built over 18 months. AIPath won the USD 1M 2025 AI Agents Global Challenge, and AIPath builds inside the BLOCK71 x Microsoft Enterprise AI Accelerate and HP Garage 2.0 programmes.
Q7. What happens in the free working session?
Forty-five minutes, run on your company's data, not a slide deck. AIPath maps your growth bets live, ranks them by the ROI that matters at your stage, and shows the strongest roadmaps with priority, sequence, dependencies and evidence. You keep the analysis either way.
Q8. Who is AIPath for?
AIPath is built for CEOs and leaders deciding growth strategy: founders and C-Suites of $2M to $50M ARR technology companies, VC funds pressure-testing portfolio strategy, and fractional executives running growth decisions for clients. If next quarter's resources depend on which bet gets funded, AIPath is built for that decision.