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 call

2 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 services

Frequently 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