Pillar deep-dives
Three-to-four paragraph narratives explaining what your score means and where the specific weaknesses live.
85% of businesses will fail at AI adoption — not because the technology is wrong, but because their foundations aren't ready. Score yours across 6 dimensions in 7 minutes. Free.
7 min · 15 questions · Free · No credit card
Centralise scattered data into one source of truth before deploying any AI tool.
What BARI measures
What BARI measures
Is your data structured, accessible, and clean enough for AI to actually use? Everything downstream depends on this answer.
Sales keeps three different customer lists; finance reconciles them every quarter and nobody is sure which one is real.
AI cannot automate what is not yet digital. This measures how far your operations have moved past spreadsheets, paper, and manual handoffs.
Approvals still travel by WhatsApp screenshot; quote-to-invoice involves four printed forms and two physical signatures.
Where your team sits today — from zero AI tools to embedded, measured AI across multiple business functions.
Two department heads pay for ChatGPT Plus from personal cards; nobody measures what actually shifts because of it.
The human side. Do you have the capability, the named owner, and the culture to actually execute an AI strategy?
Three executives nod when AI comes up in meetings; none can name the person who actually owns the strategy.
When prospects ask ChatGPT or Perplexity about businesses like yours, do you show up in the answer — or does a competitor?
You rank on Google but disappear when a prospect asks Perplexity for vendors in your category.
How exposed is your business model to AI displacement, and how prepared is your strategy for what is already happening in your industry?
Your top three competitors hired AI leads in the past six months; you haven't had that conversation in your own boardroom.
How you score
AI is the operating layer, not a project. The business runs on intelligent workflows where AI handles execution and humans handle judgment. Deployment at scale is reflexive, and competitive advantage compounds with every dataset accumulated.
Strong foundation, ready to compound. Multiple AI use cases are already in production and the team has the muscle memory to ship and iterate. Strategic moves now — vertical depth, custom models, or proprietary data moats — separate the leaders from the followers.
Partial readiness with the gaps in plain sight. Most workflows are digitised and data is reasonably clean in two or three domains, but integration across functions is patchy. Targeted intervention on the weakest pillar typically delivers the biggest ROI from here.
Awareness exists but execution is stuck. Leadership recognises AI's potential and the team has experimented with consumer tools like ChatGPT — but production-grade implementation feels out of reach. The 6–12 month catch-up window is open if you invest in data and process now.
Foundation work is your starting point. The business runs on spreadsheets, manual approvals, and siloed tools — meaningful AI adoption here would amplify chaos, not solve it. Focus on digitising core workflows and centralising data before considering AI projects.
What you get
Three-to-four paragraph narratives explaining what your score means and where the specific weaknesses live.
Concrete recommendations organized by Sales, Operations, Finance, Marketing, and Customer Service — matched to your tier.
A phased adoption plan oriented to your specific gaps, not a generic checklist.
A one-page verdict with the single most important first step — built for the boardroom, not the analyst.
Pricing
Free
7 min · 15 questions
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12 min · 28 questions
Rp 100,000
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