DataGrokr / Diagnostics
Start here
Get the evidence first.
A fixed-scope assessment — about three weeks, priced and scoped up front — tells us both what's actually wrong before either of us commits to anything bigger.
Why start here
Reduce uncertainty. Test your hypothesis.
Fixed scope
You know the cost before you commit — no open-ended discovery.
~3 weeks
For a focused, base-scope engagement. Broader scope runs longer.
Your systems, your data
We look at what you actually have, not a generic checklist.
A real answer
Your hypothesis, proven or disproven — enough evidence to decide the next move, not another guess.
The four diagnostics
Which one sounds like where you are?
Is your data foundation actually working?
An evidence-based read on where your data foundation stands — not a score, not a generic maturity grade, a judgment calibrated to your situation. Built around a decision-flow diagnostic: a map of exactly where your chain from question to answer to action breaks down. It's usually the most concrete and revealing artifact of the whole engagement.
See how it breaks down → Applied AIDon't know where data and AI could actually help?
We start from your business, not your tech stack, and work outward to find where data and AI create real value — weighed against what your environment can actually support. You walk away with a prioritized set of opportunities and a clear recommended starting point.
See the opportunity map → Applied AICan you actually stand behind the AI you've shipped?
A trust posture read across seven dimensions — AI inventory and ownership, data foundation and lineage, explainability, fairness, drift monitoring, resilience, human oversight. You get an exposure map ranking what's most serious and most likely to bite you, and a prioritized remediation sequence.
See the exposure map → CloudIs your cloud actually sound as it scales?
A structured read of a workload or your whole foundation against the five pillars that decide whether it's secure, resilient, performant and cost-efficient. You get an evidenced, prioritized roadmap of what to fix first — grounded in the cloud providers' own architecture frameworks, not an ad-hoc checklist.
See the roadmap →Diagnostic · Data & AI Readiness Assessment
Is your data foundation actually working?
An evidence-based read on where your data foundation stands — not a score, not a generic maturity grade, a judgment calibrated to your situation. Built around a decision-flow diagnostic: a map of exactly where your chain from question to answer to action breaks down. It's usually the most concrete and revealing artifact of the whole engagement.
Swipe horizontally to explore the full diagram →
A board asks a simple question. Three source systems give three different answers, and no one owns reconciling them.
Diagnostic · Data & AI Opportunity Assessment
Don't know where data and AI could actually help?
We start from your business, not your tech stack, and work outward to find where data and AI create real value — weighed against what your environment can actually support. You walk away with a prioritized set of opportunities and a clear recommended starting point.
Swipe horizontally to explore the full diagram →
Bubble size tracks rough scale of impact. The recommended starting point is the one that's high value, high feasibility, and the smallest lift to get there.
Most AI budgets fund the easiest category, not the highest ceiling.
A framework for telling apart three very different kinds of AI investment — before the board asks for a return the spending was never structured to produce.
Diagnostic · AI Trust Assessment
Can you actually stand behind the AI you've shipped?
A trust posture read across seven dimensions — AI inventory and ownership, data foundation and lineage, explainability, fairness, drift monitoring, resilience, and human oversight. You get an exposure map ranking what's most serious and most likely to bite you, and a prioritized remediation sequence.
Swipe horizontally to explore the full diagram →
Seven trust dimensions plotted by likelihood and severity of consequence — enough to see what to fix first, without assigning a score or maturity grade.
Diagnostic · Cloud Well-Architected Assessment
Is your cloud actually sound as it scales?
A structured read of a workload or your whole foundation against the five pillars that decide whether it's secure, resilient, performant, and cost-efficient. You get an evidenced, prioritized roadmap grounded in the cloud providers' own architecture frameworks, not an ad-hoc checklist.
Swipe horizontally to explore the full diagram →
Five pillars, ranked by what actually matters — not a flat list of everything imperfect.
What you get
A clear, priced next step — or none at all.
If the diagnostic says you don't need us, we'll tell you that too. The assessment stands on its own either way.
What's actually wrong
Not a symptom list — the root cause, in plain language.
What it would take to fix
Priced and scoped, so you can decide with real numbers.
A standalone deliverable
Useful on its own, whether or not you engage us for what comes next.
Next step
Start with the evidence.
Tell us what's not working — we'll scope the diagnostic from there.