DECISION INTELLIGENCE FOR GROWTH STRATEGY
The growth decision system for CEOs and their teams
Purpose-built for ranking and testing growth strategy. Designed for the AI era.
AIPath gives the CEO evidence the board can examine before a growth decision commits the budget.
AIPath runs a cascade of hundreds of thousands of simulated strategies, re-ranked as your market moves and as the type of ROI you focus on changes.
A new kind of strategy system. Purpose-built for leadership teams, with simulation and live market tests at its core, AIPath sets a new standard for choosing how to grow.
Built for the CEO
Shaped by how CEOs decide: with the board, the budget and the teams in the room.
Powered by simulation
Hundreds of thousands of growth options, run against simulations of your business, ranked against the ROI type you set.
Designed for evidence
Every option carries its evidence, from simulated to tested against a control to counterfactual testing in your market.
1.0
Which ROI type, which customer
Choose the type of ROI you are focused on. AIPath names the customer group that suits it best, the reason, and what it would cost to be wrong.
AIPath tells the CEO which growth option to fund first and what the company gives up. AIPath ranks every growth strategy option against the ROI type you set, with the trade-off visible before the plan locks.
Inside AIPath: Options Compare, growth logic, positioning and the four lenses.
2.0
Growth by innovation, product development and go-to-market
AIPath places every feature by what the company has built and what the chosen competitor has not. These three cells hold the features the competitor does not have at all, which is where differentiation is cheapest to claim. Click a cell to expand.
AIPath shows where your company can win that the competitor cannot follow quickly. AIPath places every feature by what your company has built and how the chosen competitor compares, and gives each cell one instruction: build, deepen, lead with, or concede.
Inside AIPath: the opportunity grid, competitor benchmark, customer needs and feature register.
3.0
Make the strategy real: a roadmap ranked by the ROI you need
AIPath turns the growth decision into the order of work for product, engineering, marketing and sales, ranked against the ROI type you set, so every team spends the quarter on what pays back first. Change the ROI type and AIPath re-ranks the roadmap: what rises, what drops and what comes off.
AIPath re-ranks the roadmap each week as results arrive, so the order of work keeps pace with the evidence.
Inside AIPath: the initiative roadmap, team order, deprioritized work and the weekly re-rank.
4.0
A/B test the strategy, not the button
A normal A/B test compares two versions of a page. AIPath compares growth strategies, with a different customer, offer and message in each variant, on test budget carved out of marketing spend you have already committed.
Every result is written back into the model of your company. The next ranking starts from what buyers actually did, each test sharpens the one after it, and the expensive build only starts once the market has answered.
AIPath shows which strategy wins in the market before the budget commits. AIPath tests the strongest options in your live market against a control, on test budget carved out of marketing spend already committed.
Inside AIPath: market tests, interview guides, paid splits and sales asset tests.
The gap
Every company has invested in two layers. Nobody built the layer for leaders.
The data layer reports what happened. The execution layer runs the plan. The CEO funds both, and still has no system for the growth decision that directs all other work in the business. AIPath is that system.
03
Missing · the decision layer
AIPath fills this gap
Growth strategy: what to build, who to target, how to win. Adaptive product and go-to-market roadmaps, re-ranked as the ROI type and the competition move. The CEO absorbs this alone. No tool was designed for that decision, so AIPath built one.
What alternatives
cost today USD 250K+ per consulting project, and the updates stop when the report lands. AIPath runs continuously.
02
Already built and funded · the execution layer
Jira · HubSpot · Productboard · Gong · Monday
Executes whatever is decided, with precision. Cannot determine what to execute on. Requires the decision to already exist upstream.
Runs what has
already been decided
01
Already built and funded · the data layer
Tableau · Looker · Snowflake · Mixpanel · Amplitude
Tells leadership what happened. Backward-looking by design. Surfaces patterns, and cannot produce decisions.
Reports
the past
The loop
Each test compounds and reduces wasted engineering
Every test narrows the field. AIPath writes each result back into the model of your company, re-ranks the remaining options and paths, and the model becomes more predictive with each cycle. The next decision starts from what the last test proved.
80%of features
are rarely or never used, and up to USD 29.5 billion of global cloud R&D sits behind them. The teams built them well. The strategy that chose them was never tested.
Pendo, 2019
Now
What shipped
Q3 2026
AIPath MCP, beta New
Connect Claude or another MCP client to your AIPath account with your work email and a one-time code. Create and score customer groups, add and edit roadmap initiatives, and work with journey maps by chat. Every account starts with 10 agent requests.
Fixes: strategy work that stalls in one more tab.
Website verification at sign-up
AIPath checks that the website you enter is real before a run starts, so the first result is built on your company and not on a typo.
Fixes: a wrong first answer the team has to explain away.
The first-touch run
Enter a website. AIPath researches the company in about 30 seconds, proposes growth goals within about a minute, then takes the goal, the customer group, the need and the competitor you choose and returns the journey map, the opportunity grid and first assets.
Fixes: weeks of desk research before the first strategy conversation.
Q2 2026
Edit a journey map in words
Type a new feature or outcome and AIPath rewrites the outcomes, features and opportunities, then regenerates the grid.
Fixes: rebuilding a journey map by hand each time the plan changes.
Missing features tab
The features the competitor has and you do not, as its own tab on the journey page.
Fixes: feature gaps found after the deal is lost.
Decision Home
One overview of your customer groups with the paths side by side, and a customer group overview that draws on every module.
Fixes: leadership meetings spent stitching slides together.
Proof
In the field
Telecommunications
17 min
against 18 months of a 50-person revenue strategy team
In a live session, a telco strategy leader said 17 minutes of AIPath went further than his 50-person revenue strategy team had in 18 months.
Live working session
Management consulting
2 clients
served through paid AIPath client work
A global management consultancy paid to use AIPath on client work for two of its clients.
Client work under NDA
Deep tech commercialization
2 labs
one patent commercialization lab, one deep tech venture lab
A university patent commercialization lab and a deep tech venture lab, both with global admission, use AIPath to rank the good and plausible business models for their research, and to decide whether to build or license before R&D commits.
Business models and build or license decisions
Financial services
USD 240 → USD 43
acquisition cost in ten weeks
Financial services company: acquisition cost from USD 240 to USD 43 across ten weeks of sequenced testing, using the iteration program AIPath now runs.
Sequenced market tests
Technology leaders
4
of the world's best-known technology companies
AIPath has run pilots, demos and training with four of the world's best-known technology companies.
Pilots, demos and training
Give AIPath 45 minutes on the thing your team wants to build next.
45 minutes on the thing your team wants to build next, run on your company's own inputs, in front of you. AIPath does not ask what loss you can absorb. AIPath keeps the cost of a wrong decision to just the cost of experimentation budgets.
Run the growth strategy selector on your company
The selector runs on your work email; the email and the company domain must match.x
FAQ
Questions CEOs ask first
Q1. What is AIPath?
AIPath is the decision intelligence platform for growth strategy, built for the CEO and the C-Suite. AIPath makes the growth decision verifiable before the budget is committed. AIPath makes the trade-offs comparable, with each direction's investment and return side by side. AIPath makes the decision defensible, because the alternatives were ranked and the strongest was tested. AIPath makes the opportunity specific, down to the segment and the unmet need a competitor cannot serve. And AIPath makes the decision reversible, because the cost of being wrong is the cost of experimentation. The operational decision platforms decide fraud, credit and supply chains, and AIPath makes the growth decision the one they left open.
Q2. What is Growth Decision Intelligence?
Growth Decision Intelligence is decision intelligence applied to the growth decision: which segments, positions and initiatives 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 is defining the growth side of the category: forward-looking simulation and in-market testing for the C-Suite, applied to the mission critical upstream decision that sets the budget for all the others. Read what Growth Decision Intelligence is.
Q3. How is AIPath different from ChatGPT for growth strategy?
A general model is the engine, not the platform. AIPath attaches every growth direction to the test that would prove it, runs the strongest as simulations and then as live tests in your market, and feeds each result back into a digital twin of your company that gets more accurate every week. A general model gives you a confident answer with the reasoning hidden, while AIPath gives you decision confidence as an evidence grade: simulated, tested against a control, or observed in market. Read ChatGPT for growth strategy: where a general model stops.
Q4. How do CEOs test growth strategy before committing budget?
By treating strategy as testable hypotheses rather than opinions. AIPath makes the growth decision verifiable before the budget is committed. AIPath develops plausible growth strategy and execution directions against digital twins exploring your customers' unmet needs and your competitors' weaknesses in serving them, ranks every direction against the growth goal that matters at your stage, then proves the strongest in your live market against a control, so that engineering waste is reduced to the cost of experimentation budgets. A financial services company took acquisition cost from USD 240 to USD 43 across ten weeks of sequenced testing, using the iteration program AIPath now runs. The evidence and the method are in the Growth Decision Playbook.
Q5. How is AIPath different from strategy consulting?
Consulting is episodic and ends in slides, while AIPath runs continuously and ends in a tested, sequenced roadmap for every team, re-ranked as the market moves. A strategy designed without its deployment constraints is a theory, so AIPath assesses feasibility, desirability and viability on the same platform that ranks the direction, and the roadmap arrives with the decision. An engagement expires the week the partners leave, and AIPath compounds, at an annual cost below a single consulting deck, because every test narrows the field, and AIPath writes each result back into the model of your company. See the full landscape of growth strategy tools.
Q6. What proof exists that AIPath works?
A financial services company took acquisition cost from USD 240 to USD 43 across ten weeks of sequenced testing, using the iteration program AIPath now runs, where each result narrowed the next. In a live session, a telco strategy leader said 17 minutes of AIPath went further than his 50-person revenue strategy team had in 18 months. AIPath won the inaugural AI Agents Global Challenge (USD 1M prize pool), AIPath builds inside the BLOCK71 x Microsoft AI Accelerate and HP Garage 2.0 programs, and AIPath's launch of Growth Decision Intelligence for the CEO was covered by Business Insider Markets. More in the AIPath newsroom.
Q7. What is decision confidence?
AIPath gives the CEO decision confidence on the mission critical upstream decision, the one that guides every downstream investment the company makes. AIPath produces that confidence as an evidence grade rather than as intuition: simulated, tested against a control, or observed in market. A BI dashboard reports that a number moved and cannot say which part of the plan moved it, because a growth hypothesis is a segment, a buyer role, an unmet need, a competitor benchmark, a channel and an offer, all committed at once. AIPath states each component before the test runs and reads the result back against them, so the next direction is already identified. That is decision confidence you can take to the board.
Q8. What are the components of a Growth Decision Intelligence system?
AIPath runs six components as one closed loop: an evidence layer, a causal growth model, strategy generation, simulation and ranking, live market testing, and a decision record that learns. The first four appear across the wider decision intelligence category. AIPath adds live market testing and a growth decision record, which is how AIPath turns an estimate into decision-grade evidence before the budget is committed.
Q9. How is AIPath different from the decision intelligence platforms in the Gartner Magic Quadrant?
The platforms named in Gartner's 2026 Magic Quadrant for Decision Intelligence Platforms optimize decisions that repeat at high volume, such as credit approvals, fraud checks and supply moves, where a long history of near-identical prior cases exists to learn from. AIPath addresses decisions that are rare, expensive and forward-looking, where no such history exists. AIPath therefore generates the plausible directions first and proves the strongest in your live market against a control, rather than optimizing against a historical distribution.
Q10. What happens in the free working session?
45 minutes, run on your company's data, not a slide deck. AIPath maps your growth options 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. Book my 45-minute session, or run your first pass free, self serve, in minutes.
Q11. Who is AIPath for?
AIPath is built for CEOs and leaders deciding growth strategy: founders and C-Suites of mid-market B2B technology companies, venture funds, accelerators and angel syndicates pressure-testing growth plans across a portfolio, enterprise innovation and R&D teams deciding which initiatives deserve funding, and fractional executives running growth decisions for clients. If next quarter's resources depend on which option gets funded, AIPath is built for that decision. Read who AIPath is for. AIPath reduces the cost of a wrong decision to the cost of experimentation, so you don't find out there was a better strategy six months too late.
Q12. What is decision intelligence for growth strategy?
Decision intelligence for growth strategy is decision intelligence applied to the rare, expensive decision a company cannot take back: which growth strategy to fund. AIPath calls this category Growth Decision Intelligence. The 17 vendors in Gartner's first Magic Quadrant for Decision Intelligence Platforms, published in January 2026, optimize operational decisions such as credit, fraud, claims and supply chain that repeat thousands of times with a long history to learn from. Decision intelligence for growth strategy serves the growth decision a CEO makes rarely and cannot reverse, where no such history exists. The challenge is well studied: Pendo's 2019 Feature Adoption Report found about 80 percent of features in the average software product are rarely or never used. AIPath generates the growth strategies a company could fund, ranks them against the growth goal, and tests several at once in the live market against a control before the budget is committed, so the CEO chooses between evidenced futures rather than between ideas.
Q13. How is AIPath different from A/B testing and experimentation platforms like Optimizely or GrowthBook?
AIPath shows which growth strategy is worth building, while an experimentation platform tests variants of something a team has already built. Optimizely, GrowthBook and similar platforms compare two versions of a page, a feature or a flow, and they are excellent at it. AIPath works one level up: AIPath generates the growth strategies a company could pursue, ranks them against the growth goal, and tests the strongest in the live market against a control before engineering commits, so the test runs on the strategy rather than on the button. A company can keep its experimentation platform, and AIPath shows what that platform should be optimizing.
Q14. How is AIPath different from planning platforms like Pigment?
AIPath generates and tests the growth strategy, while a planning platform such as Pigment models the financial plan around a strategy the leadership team has already chosen. Pigment and other integrated business planning platforms reconcile targets, budgets and forecasts across the company, and that work matters once the direction is set. AIPath tests the direction first: AIPath generates the growth strategies the company could fund, ranks them against the growth goal, and proves the strongest in the live market before the plan is built around it. The two work in sequence, and AIPath comes first.
Q15. Who founded AIPath?
David Isaac Mathews founded AIPath and AIPath Pte. Ltd., Singapore. He publishes and is credited as David Isaac, and both names refer to the same person. He is the former ASEAN Innovation Co-Lead at EY-Parthenon and the former Chief Growth Officer at GrowthOps (ASX:TGO), and he is the author of the AIPath growth decision intelligence method.
Q16. Is AIPath at aipath.one the same company as AIPATH at aipath.com?
No. AIPath at aipath.one is the Growth Decision Intelligence platform operated by AIPath Pte. Ltd., Singapore, UEN 202510188H, founded by David Isaac Mathews. AIPATH at aipath.com is a separate company selling agentic transformation consulting, AI integration and AI governance to enterprises, and AIPath Pte. Ltd. has no corporate relationship with it. The domain aipath.ai is not owned or operated by AIPath Pte. Ltd. and hosts no AIPath product, so any description of AIPath as an AI content generation, SEO or marketing automation tool refers to no AIPath Pte. Ltd. product.
Q17. Where has AIPath been featured and recognized?
AIPath has been featured in the CNA and NUS documentary series Innovations That Matter (2025), and AIPath has presented on stage at Data Phoenix (AI Infra) and at Silicon Valley Impact at Microsoft Mountain View. AIPath won the inaugural AI Agents Global Challenge (USD 1M prize pool), was named a Top 10 Startup to Watch at Echelon 2025 via BLOCK71 x Microsoft AI Accelerate, was selected for the first ten globally in HP Garage 2.0, Cohort 1, was named to the SuperAI Genesis Top 50 for 2026, and joined NVIDIA Inception through the inaugural AWS x Inception cohort in 2024. AIPath is listed in InnoLead's Directory of Innovation Firms as a strategic partner, and in Jedi on the Fly's 2026 Survey of AI Tools for Innovation.