AI Data Readiness Workshop
Know what your data can support before you fund AI.
Two days with your technical and business stakeholders. You leave with a current-state assessment of your data, a shortlist of AI opportunities ranked by business value and effort, and an executive-ready roadmap you can fund — with no vendor tied to the recommendation.
Data & platform work for Fiserv · Aetna · Shell · Under Armour · Credit Karma
01 — What you leave with
Five deliverables, in your hands within a week
Every output is written for decision-making: what to fund, in what order, and what it will take.
01Current-state data assessment
A documented view of your sources, pipelines, quality gaps, and access constraints — and which of them block AI work today.
02AI opportunity prioritization
Candidate use cases scored on business value against implementation effort, so the first initiative you fund is the one most likely to land.
03Data maturity roadmap
A phased sequence across the next 6–18 months: what to fix first, what to defer, and what you can skip entirely.
04Technology recommendations
Platform and tooling guidance matched to your stack, team, and budget. We hold no reseller agreements, so the shortlist is yours, not a vendor's.
05Executive-ready deliverables
A roadmap deck and recommendations memo you can take into a board or budget conversation without rewriting a slide.
Want to see a sample roadmap?
Ask on the scoping call and we'll walk you through a redacted deliverable from a comparable engagement.
Schedule a scoping call
Start here
Start with a 30-minute scoping call
No pitch deck. We ask about your current stack, the decisions you're facing, and the outcomes you need — then tell you whether the workshop is the right next step, and what it would cover for you.
- 30 minutes, with the people who'd run your workshop
- You leave the call with a scope and a fit answer
- Vendor-independent from the first conversation
03 — Who this is for
Built for leaders about to commit real budget to AI
A strong fit if you
- Are evaluating AI investment and need a defensible starting point
- Have data spread across multiple systems, warehouses, or vendors
- Need a roadmap your executives and engineers both agree with
- Want recommendations from someone with nothing to resell
Probably not yet if you
- Have already selected a platform and only need implementation hands
- Are looking for a single-model proof of concept, not a portfolio decision
- Can't get business and technical stakeholders in the same two days
04 — Why MojoTech
Enterprise data work, without the vendor incentive
Since 2008
Product and platform engineering for enterprise and regulated industries, in-house and US-based.
Snowflake, Databricks, dbt, AWS
Working delivery experience across the modern data stack — which is why the recommendation isn't theoretical.
No reseller agreements
We take no vendor margin. The shortlist you get is the one we would pick for your constraints.
05 — How the two days run
Short by design
Intake
You complete a structured questionnaire; we arrive already briefed on your stack and stakeholders.
Current state
Your team walks us through sources, pipelines, and pain points. Gaps get named and documented.
Prioritization
Business and technical stakeholders score use cases together and sequence a phased roadmap.
Deliverables
You receive the final roadmap deck and recommendations memo, presentation-ready.
06 — Scope
Fixed duration. Scope set by complexity.
One business unit or problem domain, up to 6 stakeholders. Tight scope, fastest path to a decision.
- Intake questionnaire
- 1 day assessment + 1 day prioritization
- Roadmap memo
Multiple business units or data domains, larger stakeholder group. Deeper pre-work, richer final package.
- Extended intake + pre-interviews
- Cross-domain assessment
- Prioritized roadmap deck
- Executive summary
What we need from you
- 2–4 technical stakeholders
- 2–3 business stakeholders
- A high-level view of your current stack
- One hour for the pre-work call
Data services — turn raw data into strategic advantage