AI Enablement & Adoption for Enterprise ERP
Get the AI value out of the ERP you already run.
We decouple artificial intelligence from your core ERP architecture, so you extract the value of AI innovation without the cost or risk of a mandatory re-platforming.
ERP-Agnostic AI Layering
We deploy secure AI 'sidecars' over your existing SAP, Oracle EBS, or Workday footprint — reading and writing through the same APIs and export mechanisms your ERP already exposes, never inside a forked or unsupported core. This unlocks advanced automation — quotation support, supplier risk scoring, forecasting, document understanding — on the system you already run, on your timeline, not a migration timeline.
Quotation models · Supplier scoring · Document extraction
System of record remains pure, stable, and vendor-compliant
Native AI Activation
Every major ERP vendor has already built AI features into the platform — SAP's Joule assistant and embedded AI capabilities, Oracle Fusion's AI agents, Workday's AI and skills-based tools among them — and most customers are paying for a fraction of what's already licensed. We assess what's available in your specific edition, activate and configure it against your real processes, and orchestrate it into the predictive workflows your teams actually need, rather than leaving it as an unused menu item.
AI Data Readiness
AI is only as good as the data behind it, and enterprise ERP data is rarely as clean as the system of record implies. We cleanse and transform legacy transactional data into governed data products — consistent master data, a documented lineage, and an enterprise lake house where needed — so every AI feature you activate is working from data it can actually trust.
Adoption, Governance & Change Management
Activating a feature is not the same as adopting it. We embed human accountability and metrics into every deployment.
Phased Rollout Plan
One use case proven end to end before the next one starts, scored on cost pain, data readiness, and speed to a provable result.
Executive ROI Measurement
ROI measured the way ownership actually cares about it: cost saved, cash freed up, and hours reclaimed — tracked consistently and added up across use cases.
Governance from Day One
Documented model use, human-in-the-loop checkpoints, and periodic bias and drift review for every AI feature we activate or build.
The Four-Question AI Evaluation Test
Every candidate automation must satisfy four strict filters before development commences.
Is this genuinely a prediction, classification, unstructured-data, or generative-reasoning problem, or does an existing rule already solve it?
Does the data foundation exist?
Is a person still positioned to catch what the model gets wrong?
Is the cost of building it smaller than the cost of the problem it solves?
AI Adoption Path
Built only from rigorous qualifying stages and shadow-mode validation.
Score Use Cases
Evaluated rigorously on cost pain, data readiness, and speed to result.
Four-Question Test
Strict qualifying filter to ensure AI is genuinely needed and cost-justified.
30-60-90 Day Pilot
Focused execution of the first validated use case from baseline to measurable outcome.
Shadow-Mode Validation
Testing against real cases in parallel before anything replaces a manual process.
Governance & Ownership
One named, accountable owner per affected department with drift reviews.
Next Use Case
Compounding value on top of the established canonical foundation.
“Mid-size and enterprise organizations already running SAP, Oracle EBS, Workday, or a comparable platform, who want measurable AI value this year — not a multi-year re-platforming project — and who want that value delivered with the same rigor they'd expect from any other capital investment.”
Already own the ERP. Now let's get the AI value out of it.
Tell us what you run today. We'll help identify the right path.