The work between wanting AI
and running it.
You cannot buy readiness. You build it — and the building is the work most firms are glad to help you admire instead of do. ALLJOY sells judgment, not hours: we audit the data, assign the ownership, build the controls, and lead the program that lands.
Or start with the six-minute AI-readiness assessment.
Audit the data. Assign the ownership. Build the controls. Then sign the platform deal.
The honest order is unglamorous, and it works. Every engagement below is one move in it — engage the whole sequence, or the single move your program needs next.
AI Data Readiness Assessment
The six-minute scan finds the ceiling. This engagement maps it.
The free instrument tells you roughly where you stand. This is the depth engagement that follows it: an audit of the actual data the AI you want would consume — every critical element, every business rule, every silent failure your people have been absorbing. Not the process around the data. The data.
You leave knowing exactly where the ceiling on your AI investment sits, which candidate use cases the data can already carry, and what has to move before the rest.
- Element-level audit of the master data your models will consume
- Named critical-data risks, each with a business owner
- The manual compensations that will not transfer to a model
- A go / no-go read on each candidate AI use case
- A sequenced remediation plan, cheapest gaps first
Turnkey Data Quality Implementation
You cannot buy readiness. We build it — end to end.
The unglamorous work that makes AI worth deploying: ownership that survives reorgs, business rules that exist as testable controls instead of tribal knowledge, and controls that sit at the point of entry so new bad data mostly cannot get in.
Turnkey means ALLJOY runs it — through direct engagement and purpose-built tooling, not a deck handed to your team. The measurement layer runs on JoySoft, deployed today at Parker Hannifin.
- Business owners assigned per data domain — role-based, so they survive a reorg
- Critical business rules codified as testable, enforced controls
- Validation at the point of entry, not after something breaks
- Continuous data quality measurement with thresholds and owners
- A governance body funded to act — not a status meeting
AI Governance & Guardrails
Decide what the model isn't allowed to decide — before it goes live.
Every technology before AI kept a human in the loop to catch what the data got wrong. AI removes that human. So the decisions the model is not allowed to make on its own have to be named — in writing, before the platform conversation, not discovered after a bad call in production.
We define the decision rights, assign ownership for what the model produces, and stand up monitoring against ground truth — so you would actually know when it is wrong, and someone with authority could stop it.
- Written decision rights: what AI may never decide without a human
- Named ownership for model-driven decisions
- Monitoring against ground truth, with thresholds and an owner
- An escalation path with an executive who can — and would — stop the rollout
Migration Data Leadership
Your S/4HANA deadline is also your AI deadline.
SAP is selling S/4 as the AI foundation — which means the migration and the readiness are the same project. The data discipline that lands the migration cleanly is the same discipline that makes AI worth deploying. One body of work. Two funded reasons to do it.
ALLJOY embeds senior data leadership on the program — the methodology established by Tom Kennedy at BackOffice Associates, now Syniti — to take data off the critical path and land the transformation without the heroics. When execution needs to happen at scale, we recommend Syniti and place senior practitioners through partner firms.
- Embedded senior data leadership on the transformation
- Data removed from the critical path, by design
- Migration data risk assessed, named, and owned
- The same foundation the AI work will require anyway
- Full-scale execution routed to Syniti and partners when the program needs it
The Executive Partnership
Senior judgment, on retainer. Not hours, billed.
Running through all of it: an annual, coaching-led relationship for senior leaders running enterprise data programs. A two-day on-site workshop that defines the year, a weekly inner-circle call with a small cohort of peer executives, and direct access for the calls that cannot wait for the next one.
Membership is by conversation, not application. ALLJOY sells judgment, not hours — a fixed annual fee built around getting your program to a controlled landing, not extending the engagement.
- Two-day annual on-site workshop with you and your senior team
- Weekly inner-circle group call — a small, deliberate cohort
- Reserved direct access for escalations and judgment calls
- A fixed annual fee, disclosed openly
Most advisors hide how they're paid.
We don't.
ALLJOY operates through four commercial structures, each with different economics and each disclosed openly — the Executive Partnership, direct client engagements, senior practitioner placement through partner firms, and network recommendations to Syniti when implementation needs to happen at scale. We don't sell large-scale implementation as our primary business, so when that's what your program needs, we say so and tell you who to pay for it.
See the four structures and the execution network →
Stop admiring the problem.
Take the first honest look.
Thirty minutes. We'll review your specific exposure and tell you which move your program needs first.
Book the executive briefing