Enterprise AI & ERP Readiness Sprint
Know whether your enterprise is ready for AI before you scale the wrong thing.
A focused two-week assessment of whether your ERP, data, architecture and governance can support secure, valuable AI. You finish with a clear, executive-ready plan.
Book a readiness call2 weeks
Duration
7
Decision-ready deliverables
Fixed
Scope and fee
Independent
Findings
Why this matters
AI pilots are easy. Enterprise AI is not.
Once AI touches real ERP data, real processes, real customers and real decisions, the stakes change. A chatbot that gets something wrong is an inconvenience. An agent that posts the wrong journal entry, approves the wrong purchase or exposes the wrong record is a business risk.
The old question
Can we use AI?
The better question
What needs to be true for AI to work here?
Celeriti helps you answer that before you commit major budget, people or reputation.
Who it's for
Designed for the leaders accountable for AI outcomes.
CIOs
CTOs
CDOs
Chief AI Officers
SAP business, functional & technical leaders
Data owners
Enterprise architects
Transformation leaders
Executive teams evaluating AI investment
Especially valuable when:
Leadership is pushing to move on AI, but teams disagree on where to start
Your ERP is mid-transition, or the SAP ECC 2027 deadline is approaching
Data ownership and quality are unclear across systems
Pilots are running, but none have reached production
You're weighing competing AI platforms and vendor claims
What we assess
Six dimensions of readiness.
Data readiness
Is your ERP and enterprise data clean, owned, well-defined and reliable enough for AI to reason on and act on?
ERP & architecture readiness
Which SAP and ERP dependencies, integrations, clean-core gaps and technical constraints will shape what AI can do?
Platform readiness
Are SAP Business AI Platform, Joule, SAP Business Data Cloud and your hyperscaler AI services configured, licensed and governed?
Governance & risk
Gaps in ownership, identity, access, security, compliance, auditability and human oversight, including for agents that act.
Use-case viability
Which opportunities are valuable and feasible now, and which will stall because the foundation isn't ready.
Executive alignment
Which decisions leadership must make, and in what order, to move AI from experimentation into production.
What you receive
Seven deliverables. Every one built for a decision.
01
AI readiness scorecard
Your maturity across all six dimensions, scored and benchmarked.
02
Data & architecture risk review
The specific weaknesses that would cause AI to fail or cause harm.
03
Priority AI use-case map
Opportunities ranked by value, feasibility and readiness.
04
ERP & integration findings
SAP and ERP dependencies, clean-core gaps and integration needs.
05
Governance & ownership gaps
Who owns what, and which controls are missing.
06
90-day execution roadmap
What to do first, in sequence, with effort and dependencies.
07
Executive decision brief
The decisions leadership must make, with clear recommendations.
How it works
Two weeks. Two phases.
Week
1
Discovery & assessment
We review your systems, data landscape, architecture, SAP and ERP dependencies, AI goals and known risks, through stakeholder interviews, documentation and architecture review, and focused data readiness sessions.
Week
2
Findings & roadmap
We turn the findings into an executive-ready roadmap and present the scorecard, risk view, use-case map and decision brief to your leadership team.
What we need from you: access to [X] key stakeholders, existing architecture and system documentation, and a sponsor with authority to act on the findings.
Outcomes
At the end of two weeks, you'll know:
Where AI can create the most value in your organization
Where your ERP and systems aren't ready yet
Where data quality or governance could create risk
Which use cases should move forward now
Which ideas should wait, and why
Exactly what needs to happen in the next 90 days
After the sprint
What comes next is your choice.
The sprint stands on its own, and your roadmap is yours to execute however you choose. Many clients bring Celeriti back to design the target architecture, set up governance, deliver the SAP work or oversee their implementation partners. Our findings are never shaped by what we might sell next.
See delivery servicesFrequently asked
Is this only for SAP customers?
No. It's designed for ERP-centric enterprises, and most of our clients run SAP. We assess any ERP, data and AI landscape.
Do you recommend specific AI vendors?
We recommend what fits your requirements, and we earn nothing from platform selection.
Can the sprint cover one business area?
Yes. We can focus on finance, supply chain, HR, asset management or wherever AI pressure is highest.
Make your next AI decision with clarity.
Book a readiness call