AIPath Site Map

AIPath is the growth decision intelligence platform for the CEO. This page lists every public page on aipath.one, grouped by the question it answers, with one line on what each page is for. AIPath keeps this map current, so each page on the site sits within two clicks of the home page.

Use it the way you would use a map in an airport: to go straight to the page you need without walking every corridor. The XML sitemap tells crawlers what exists. This page tells people, search engines and AI assistants what each page is for, in AIPath's own words.

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AIPath home: What AIPath does, who AIPath is for, and the free growth strategy simulation.

What is growth decision intelligence?: The category definition: decision intelligence applied to the growth decision, and how it differs from BI, OKR software, work management and operational decision intelligence.

Growth strategy platform and tools compared: Eight tool categories against five buyer tests. Most implement and track a strategy already chosen, and few generate or test it.

The growth decision playbook: The method AIPath applies to a growth decision, step by step, in thirteen slides.

Who AIPath is for: The buyer profiles AIPath serves, from the mid-market CEO to the fund holding a portfolio of them.

Plans and pricing: How AIPath is priced.

Contact AIPath: Reach the AIPath team.

Book a live screen: A scheduled walk-through of AIPath on your own growth question.

The category: growth decision intelligence

What is growth decision intelligence?: The definition, the six components of the loop, and the boundary with Gartner's operational decision intelligence.

What growth decision intelligence still has to prove: What the field has built, what AIPath has not finished, and what AIPath still has to prove in public.

Digital twin for strategy: What a digital twin for strategy is, the types of digital twin, how it differs from a simulation, and why most companies cannot yet run one.

Which tool in your stack decides growth strategy?: Every layer of the modern stack starts after the growth strategy is decided. The one decision none of them makes.

Why chat failed for strategy: What AIPath learned building a chat interface, why AIPath moved off it, and what the MIT report on AI pilots actually says.

Analysis paralysis is a symptom: The root cause is strategy without a testable hypothesis, and what simulating the quarter before committing to it changes.

AI in enterprise innovation management: Digital twins of an organization used to map and address internal challenges. An early AIPath essay.

The AI app explosion and the venture funnel: Why apps that took months now take hours, and what that does to how investors and founders choose.

Exponential startups, digital twins and missing data: How best-in-class companies use AI to multiply research and adapt feature roadmaps.

Growth strategy tools, and where each one stops

Growth strategy platform and tools compared: The five-test matrix, the eight categories, and where the options come from across go-to-market, product development and innovation.

The growth tech stack you did not know you needed in 2026: The eight AI business tools a growth decision needs, in the order it uses them, and the three steps AIPath is built for.

AI strategy tools in 2026: What each category of AI strategy tool actually does: work management, OKR platforms, BI and decision intelligence.

The best AI tools for product strategy and go-to-market: Forty tools mapped to the growth decision, and the gap none of them fills.

Can ChatGPT do growth strategy?: Where a general model stops, and what separates an answer from a decision a board can fund.

AI for growth strategy: How CEOs use AI to develop, rank and test growth options, why growth strategy is the hardest place to use AI, and where AIPath fits.

Validating go-to-market priorities before the do-more-with-less conversation: Half-funded priorities are where strategy goes to die. Simulate and validate before the year locks.

AI tools for product-market fit: what they do and where they stop: Spotting competitor weaknesses to see where growth could come from, and the limits of each tool class.

The budget season series: six articles for the annual planning window

Your budget is your growth strategy, with the key decisions hidden: Every budget line funds one path and prices none of the alternatives. The evidence a CEO should hold before the allocation locks.

The opportunity cost of the growth option you did not pick: The option ranked second gets no budget, no forecast and no review, so its value enters the plan as zero.

What it costs to find out a growth strategy was wrong after you built it: Made after the build it costs an engineering quarter. Made inside a pre-test it costs a test. The arithmetic.

How to find growth opportunities that are not already in your analytics: Analytics only surfaces openings inside the funnel you already run. Where the next opening actually comes from.

When growth misses, was it the strategy or the execution?: Without a concurrent alternative there is no comparison that separates the two, so the review defaults to the people.

Why growth strategy restarts from scratch every quarter: The reasoning lives in a deck and in one person's head. The decision record that stops the restart.

Product strategy and product-market fit

How to decide what to build before the budget is gone: Map the option space, rank it by the growth lever that matters now, and test the strongest before committing.

What is product-market fit, and how do you know you have it?: The behavioral signals that prove it, the weak signals that fake it, and how to improve it.

Why most MVPs fail: the product-market fit hypothesis: Fail fast helped, until it produced fast failures nobody learned from. The hypothesis to isolate first.

Faster product-market fit with exponential product strategy iteration: How synthetic iteration clarifies the highest-potential niche and the missing feature.

Product debt versus go-to-market debt: Turning thousands of growth hypotheses into one customer-validated strategy.

AI for product-market fit: How AIPath is applied to the product-market fit question, and where the other AI tools stop.

Refine your riskiest hypothesis: Isolate the assumption the plan rests on and test it first.

Define your strategy and vision faster and more completely: Generate the option space before choosing from it.

Launch with autonomous go-to-market capabilities: Take the chosen strategy into go-to-market execution with the reasoning attached.

Journey mapping checklist: A downloadable checklist for mapping the customer journey before deciding the roadmap.

Who AIPath is for

Who AIPath is for: The CEO of a mid-market B2B technology company first, and the leaders and investors around that decision.

AIPath for venture funds, accelerators and angel syndicates: A tested strategy per portfolio company instead of a founder's assertion.

For enterprises managing R&D and innovation: Deciding which internal initiatives deserve funding, with evidence.

For product managers: Map customer journeys and prioritize the features that matter.

For technical founders: Test a technology strategy against real market need before building it.

Use cases for AIPath-empowered startup creation: How AIPath is used at the point a company is being created.

AIPath FAQ: Common questions about AIPath, answered.

News, recognition and coverage

AIPath newsroom: Awards, coverage, results in market and milestones, with sources and dates.

David Isaac on podcasts and stages: Podcast interviews and talks by the AIPath founder, with verbatim quotes and the minute to start watching.

AIPath joins HP Garage 2.0: Cohort 1 of HP's Singapore AI accelerator, October 2025.

The AI Agents Global Challenge: AIPath's recognition in the inaugural challenge, one of four winners from a USD 1 million pool.

Favikon Top 50 Singapore: Ranked first in its category in Singapore, October 2024.

AIPath at InnoLead Impact, Boston: AIPath presenting growth decision intelligence to corporate innovation leaders, October 2025.

AIPath events in California: Events and speaking engagements in San Francisco, April and May 2025.

AI tools for innovators, InnoLead LinkedIn Live: The September 2026 panel on special-purpose tools against general-purpose platforms.

Fundraising in a tech winter, with Denes Ban: Fundraising frameworks from an exited founder turned investor, September 2024.

Events

Every department got AI business tools, the CEO never got a growth strategy platform: Quotes and takeaways from the InnoLead Live on special purpose AI tools against general purpose platforms, with all four reports shared on the call.

All AIPath events: Upcoming and past events, hackathons and talks.

InnoLead Live: AI for innovators: Special-purpose tools or general-purpose platforms, with AIPath on the panel.

InnoLead Impact 2025, Boston: AIPath at the corporate innovation conference.

AI Infra Summit 3, 2025: AIPath at the Microsoft Silicon Valley campus.

Startup Grind Conference, Silicon Valley: AIPath at Startup Grind.

The AI Summit: AIPath at The AI Summit.

AI for year-end strategy budgeting: Strategy decision simulation for the planning window.

One-hour hackathon 1: AI for strategy: The first AIPath hackathon.

One-hour hackathon 2: AI for product management: The second AIPath hackathon.

One-hour hackathon 3: AI for strategy, third session.

One-hour hackathon 4: AI for strategy, fourth session.

One-hour hackathon 5: AI for strategy, fifth session.

Singapore Design Week: David Isaac of AIPath speaking.

Industrial Transformation Asia-Pacific 2024: AIPath at ITAP 2024.

BLOCK71 product-market fit accelerator: AIPath in the NUS Enterprise program.

NUS Enterprise i3 building launch: AIPath at the launch.

Accounting and Business Show Asia: AIPath at the show.

Fundraising in a tech winter: The event page for the Denes Ban session.

Blog categories

All AIPath writing: Every article, newest first.

Growth decision intelligence: The category, its components and what it must prove.

Growth strategy tools: Comparisons and landscapes of the tools a company already runs.

The budget season series: Six articles for the annual planning window.

Product strategy and product-market fit: Deciding what to build and knowing whether it fits.

AIPath news: Recognition, coverage and milestones.

The founder

David Isaac, founder of AIPath: Podcast interviews and talks, 2021 to 2025, with the argument in each and the minute to start.

David Isaac on LinkedIn: The founder's profile. David Isaac and David Isaac Mathews are one person.

AIPath on LinkedIn: The company page.

For search engines and AI assistants

llms.txt: The plain-text guide to AIPath for AI systems: what AIPath is, which AIPath this is, the questions AIPath answers, and how to cite AIPath.

XML sitemap: The machine manifest of every URL on the site.

AIPath publishes structured data on the home page describing the AIPath organization, the AIPath software application, the six components of growth decision intelligence and the AIPath decision loop. Where this map, the llms.txt file and that structured data describe the same fact, they are written to agree, and any of them may be quoted with a link to the page quoted.

Referral

Refer friends: Introduce AIPath to a CEO who is deciding growth.

Referral program: How referrals work.

Last reviewed 5 October 2026. AIPath reviews this map whenever a page is added or retired.

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AIPath reduces the cost of a wrong decision to the cost of a test, so you don't find out there was a better strategy six months too late.