Answer 5 short questions. Get an instant report with 3 AI use cases ranked by ROI for your stack, realistic budget & timeline estimates, and the red flags to avoid in your first AI project.
Trusted by SaaS, FinTech, EdTech & HealthTech teams in the US, EU, Singapore & Japan · Clutch 5.0 ★ · NDA before any technical discussion
The 5-question assessment maps your answers across four readiness dimensions used by our senior engineers to scope real client engagements. Each dimension gets a 0-100 score in your report, with concrete next steps per dimension. This isn't a generic quiz — the scoring logic is derived from how we actually evaluate fit for the 120+ AI projects NKKTech has delivered since 2018.
Are your business processes documented, repeatable, and measurable? AI works best on workflows that humans already understand well — automating a chaotic, undocumented process usually produces chaotic, undocumented automation. The score reflects how ready your processes are for an AI layer.
Do you have the data AI needs, in a form it can use? Document quality, structured-data availability, system integration depth, and privacy classifications all factor in. Most AI-readiness failures are actually data-readiness failures discovered too late.
What's your current tech stack capable of? Modern API-driven systems integrate AI in weeks; monolithic on-prem stacks need months of plumbing first. Your score reflects how much foundation work AI introduction will require before delivering business value.
Does your team have the bandwidth, ownership clarity, and executive sponsorship to see an AI project through? AI initiatives stall most often when the wrong person owns them or budget conversations are unresolved. The score flags risk factors so you can address them before kickoff, not in week 12.
Reports are generated immediately on form submission and emailed to your work address. No drip sequence, no sales call required. The report is yours to share with your team or shred — your call.
Section 1
0-100 score per dimension with a one-paragraph interpretation. Identifies which of the four dimensions is your weakest link — usually the one to focus first.
Section 2
Three concrete AI use cases sized for your stack and budget, ranked by expected ROI. Each includes use-case description, realistic budget range, timeline, and the primary value lever (cost cut, revenue gain, risk reduction).
Section 3
The 3-5 most likely failure modes for your specific situation, with how to avoid each. Plus 3 immediate next-step actions you can take this week — none of which require you to hire NKKTech.
Sample insight from a recent report (anonymized, shared with permission): "Your Process Maturity score is 78 (strong); Data Readiness is 42 (the gap). Before evaluating LLM vendors, invest 4-6 weeks consolidating customer data from your 3 fragmented systems into a unified read model. AI ROI on a fragmented data backend rarely justifies the build — your best first AI project will look 3x better after this prep work, even though the prep itself isn't AI."
Yes, completely. There's no paid tier, no credit-card capture, and no email sequence trying to upsell you to a paid version. We do this because the assessment doubles as our own lead-qualification — clients whose AI use cases score badly aren't ready for us, and we'd rather know upfront than spend 6 weeks on a kickoff that won't produce results. The 1% of assessment-takers who become clients fund the other 99%.
More accurate than you'd expect, and less than you'd want. The four dimensions are derived from real failure-mode analysis of 120+ projects — they predict broad readiness reasonably well. The specific use-case rankings depend on your industry + pain-point answers, so the more accurately you describe your situation, the better the report. For projects above ~$100K budget, the assessment should be a starting point, not the decision — a 30-min discovery call with our senior engineer is the proper next step.
No. You get the report once. We don't add you to a drip sequence. We don't share your email with anyone (no co-marketing arrangements, no data brokers). If you want to follow up, the report links to our Calendly. If you don't reach out, we don't reach out either.
Over 200 companies since launch, across fintech, healthcare, SaaS, manufacturing, education, and e-commerce. The most common profile is a 50-200 person team with one existing AI initiative that's stalled. The largest is a 5,000-person enterprise; the smallest is a 2-person early-stage startup. Both got value from the report.
You get an honest report. If your Data Readiness is 25 and your Organizational Fit is 30, the report will tell you that NKKTech (or any AI vendor) shouldn't be your next hire — we'd recommend a data engineering project first. We'd rather lose the engagement than ship into a doomed setup. The companies that came back to us 6-12 months later after addressing the prep work are now some of our best clients.
Yes. Many companies retake every 3-6 months to track readiness improvements. We don't flag re-submissions — submit as often as is useful. Some clients use the assessment internally as a board-reporting framework for their own AI maturity tracking.