Cerebrium Cerebrium Consulting
Readiness Report report_R-2641.08 · Apr 18, 2026

Your AI readiness, honestly scored across five dimensions.

Based on 21 questions. This is the same diagnostic Cerebrium runs in the first week of a paid engagement — condensed and self-served. No softening, no sales wrapping. If the verdict is "not yet," we say so.

Composite score
47 / 100
Not yet — foundation first

You are closer than most. Two of five dimensions need work before a tool purchase will stick.

01The diagnostic matrix
01

Data foundation

Red

Inventory data lives across 3 spreadsheets + 1 desktop SQL instance. SKU conventions inconsistent. No single source of truth for customer records.

28 / 100
02

Strategic clarity

Yellow

"Reduce stockouts" stated goal but no baseline measured, no target set, no owner named. Strategy exists as intention, not document.

55 / 100
03

Tech infrastructure

Green

Modern ERP, clean cloud footprint, no legacy blockers. Security posture adequate for SMB scale.

82 / 100
04

People capability

Red

Ops lead has never worked with a predictive system. No process for handling outputs that contradict intuition. Team skeptical.

22 / 100
05

Governance

N/A

No framework yet. Addressable as first workstream — not a red flag, a blank page.

02Three findings

What the matrix is actually telling you.

finding.01

The tech is not the problem

Your infrastructure is ready. That is the least common score on this report. It also means any consultant who leads with a platform recommendation is solving the wrong problem.

finding.02

Data is your gating constraint

Two of three spreadsheets will not survive being read by an AI. Before any tool purchase, four to six weeks of unglamorous data work. This is 70% of the real investment.

finding.03

People first, or nothing sticks

Your ops lead is skeptical for good reasons. A pilot that succeeds technically but fails socially is the single most common failure mode we see. Change management is not an add-on.

03What to do, in order

Next 90 days. The realistic version.

Weeks 1–2
Data audit

Map every place customer + inventory data lives. Identify 2–3 critical data hygiene fixes. Do not touch any AI tool yet.

~$4k
Weeks 3–6
Data consolidation

Bring the three spreadsheets into the ERP. Establish a single source of truth for SKU + customer records. Document the schema.

~$12–18k
Weeks 7–9
Pilot scope + alignment

One specific problem, one specific team, one measurable outcome. Ops lead included from day zero. Not a tool selection yet.

~$6k
Weeks 10–12
Tooling decision

Now — and only now — evaluate platforms. With clean data, clear strategy, and a team that trusts the process. Different conversation entirely.

Variable

Total before any AI platform: roughly $22–28k. This is the investment that makes every subsequent dollar productive. Skipping it is the single most expensive decision SMBs make in this space.

Your next step · one of three

This report is where self-serve ends.

We built this to be genuinely useful on its own. If you take nothing else from it, take the ordering: data first, people second, tools last. That alone puts you ahead of most.

If you want the real version — your actual data, your actual team, a conversation that gets specific — pick one of these:

01 · Recommended
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