Data Readiness, Measured Against Your Own Systems
An assessment that puts your business questions to the systems meant to answer them, measures where they disagree, and tests your planned AI work against what comes back.
Explore our other solutionsThe Challenge
Readiness gets debated rather than measured, so the work to fix it never gets prioritized.
Roadmaps built on assumptions
Initiatives get priced and scheduled before anyone establishes whether the underlying data can support them.
Pilots that stall at integration
The model works in the demo. Then the data arrives late, incomplete, or shaped differently than the pilot assumed.
Data work loses the roadmap fight
Remediation competes against features without a number behind it, and loses.
Work that waits on a person
Price changes, quotes, campaigns, and new channels all queued behind somebody working out which answer is right.
Readiness is measurable. A gap with a number against it, tied to the initiative it blocks, earns a place on the roadmap. That is what the assessment produces: a baseline backed by evidence from your systems, a scored view of every planned initiative, and an order of work your teams agree on.
The Solution
One assessment, four phases. We map where your answers live, measure where they diverge, test your planned AI work against what we find, and hand back a sequence with each increment tied to the initiative it unblocks.
Sources & Ownership
Find Every Place the Answer Lives
We inventory the systems that hold your customer, product, and order data, and the integrations moving it between them. For each core definition we identify the system of record, the copies downstream, and the person or team who decides when it changes.
Copy sprawl is where most of the drift comes from. A definition set once in a source system gets reinterpreted on its way to a dashboard, and every reinterpretation is a place the answer can move without anyone deciding it should.
System inventory
Every source, every integration, and what each one holds about your core entities.
Definition ownership
Who decides what a customer is, and which system the rest of the business follows.
Copy sprawl
Where the same record has been duplicated, reshaped, and left to drift apart.
Gap Scoring
Every Answer Your Systems Give, Side by Side
We take the questions your business asks every day and run them across your systems. What does this product cost, is it available, how many active customers do we have, what is the status of this order. Then we measure where the answers disagree and by how much.
The output is a scored baseline you can return to: one number to plan against, and a ranked list of what is worth fixing first. Every score traces back to the question and the systems that produced it.
Divergence testing
Where the same question returns different answers, and by how much.
Scored baseline
A defensible starting number you can track improvement against.
Prioritized gaps
Ranked by what they block, so remediation competes on business impact.
Use Case Feasibility
Test Each Initiative Against the Data It Needs
We take the AI and agent work you have planned and test each item against the findings. An agent that quotes a price needs current pricing, entitlement, and availability to resolve in one call. An assistant answering product questions needs content that exists and can be traced to a source.
Some of your roadmap will be ready now. Some will need a dependency closed first, and occasionally the finding is that an initiative should not proceed in its current form. Each verdict arrives with the dependency behind it, so a deferred initiative comes with the condition that would change the answer.
Use case scoring
Each planned initiative rated against the data it would need to work.
Blocking dependencies
The specific gaps standing between a use case and production.
Realistic sequencing
What can start now, what needs a dependency closed, and what should wait.
Sequenced Roadmap
Each Increment Tied to What It Makes Possible
The findings become a sequenced plan, with each increment tied to the use cases it unblocks and an owner named against it. We sequence by use case so value lands along the way, and every phase produces something usable on its own.
The plan is written to be picked up and run, with enough detail on each increment for your team to scope it and enough traceability for anyone to see why it is ordered the way it is.
Scoped increments
Each phase defined and tied to the use cases it enables.
Named owners
Accountability assigned for each increment before the work starts.
Results along the way
Sequenced so something is working in production while the rest is still being built.
Start With One Question Your Systems Disagree On
Bring one question your systems answer differently, and we'll show you what the assessment would test first.
Outcomes
Done well, an assessment changes which work gets funded and in what order, so results start early.
A number behind the problem
How much of your teams' time goes to settling answers, counted from your own systems.
A plan you can act on
Sequenced increments tied to the business outcomes each one unblocks.
Fewer stalled pilots
Dependencies surfaced while a pilot is still being scoped.
A sequence that compounds
Each phase makes the next one easier, so the work builds on itself.
How Orium Helps
Our engineers work in your systems alongside your team. Everything the assessment produces is yours to act on, with us, with another partner, or on your own.
Discovery & Interviews
Time with the people who own the definitions and the ones who work around them.
- Stakeholder interviews across business and technology
- System of record identification for each core entity
- Workshops with the teams who maintain the workarounds
- Review of prior assessments, roadmaps, and stalled initiatives
Technical Assessment
Hands on your systems, integrations, and data, with every finding traced to what we saw there.
- Source and integration inventory across ERP, OMS, PIM, and commerce
- Copy and duplication analysis for core records
- Pipeline, latency, and freshness review
- Content and unstructured data assessment
- Existing search, catalog, and governance tooling review
Scoring & Modeling
A baseline you can return to, and a clear view of what closing each gap involves.
- Consistency testing against real business questions
- Scored readiness baseline by entity and by domain
- Use case feasibility scoring against planned AI and agent work
- Dependency mapping between gaps and initiatives
- Scope and dependency modeling for each remediation increment
Roadmap & Handover
A sequenced plan and a working session so your team can carry it forward.
- Sequenced roadmap with named owners
- Value milestones placed before the program closes
- Platform and engine recommendations where relevant
- Executive readout and technical working session
- Written findings your team keeps and reuses
Measure It Before You Build On It
Talk with our team about scoping a readiness assessment against the AI work you already have planned.
More Solutions
Search & Grounded Answers
Learn moreOne place for people, assistants, and agents to get answers, with sources cited and access controlled at the source.
Semantic Layer & Ontology
Learn moreOne agreed definition of products, customers, and orders that every system works from, with changes versioned so you can see what each one affects before it ships.
Governed Data Products
Learn moreTurn contested extracts into owned assets with a contract, a named owner, a refresh schedule, and traceable lineage.
