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Mastering SAP · Collaborate Singapore · 14–15 May 2026 · VOCO Orchard

What an 8-week S/4HANA program really demands.

From Evolution to Execution — and the AI team member hiding in plain sight.

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Mastering SAP · Singapore 2026
The shift in one paragraph

S/4HANA delivery is accelerating. With models like GROW with SAP, organisations are now expected to go live in weeks, not years — but speed doesn't reduce complexity, it shifts it.

In fast-track programs, success depends less on technology and more on organisational readiness. Decisions must be made faster, scope must be controlled earlier, and data and business teams must be ready to operate at a completely different pace.

If you remember three things

Three commitments for an 8-week launch.

  1. 01
    Fast, structured decisionsClear ownership, guardrails, and a named decision-owner per workstream.
  2. 02
    Data readiness as a core streamNot a late-stage scramble. Treat it like Build.
  3. 03
    Operate at the new paceAlign business teams, controls, and cutover to accelerated timelines.
Steve Turner

Steve Turner

SAP Certified Public Cloud Consultant

Your presenter

Twenty years inside the SAP finance stack.

  • SAP CertifiedPublic Cloud Finance · Management Accounting
  • SAP ActivateProject Management certified
  • 20+ yearsSAP FICO implementation experience
  • Director, CoreFi PartnersSpecialist · S/4HANA Cloud Public Edition
Today's journey

Eight stops across thirty years of SAP.

01The Old World of ERP
0230-Year SAP Evolution
03GROW with SAP
04SAP GROW Fast — the 8-week motion
05AI as a team member
06The reality check
07The proof: TEI & case wins
08Looking forward · Singapore & SEA
Chapter One

The Old World.

When ERP took years, and the blueprint took months.

ERP the old way · 1990s — early 2010s

Eighteen to thirty-six months. Sometimes more.

0months to go-live
0of projects exceeded budgetPanorama Consulting
0months in blueprintbefore a single line of config
  • Heavy customisation locked clients into permanent technical debt.
  • Business disruption stretched across multiple fiscal years.
  • Outcomes were variable. Cost was not.
The ASAP Era

Structured.
But slow.

  • Five phases, heavy phase-gates
  • Lengthy blueprint documents
  • Custom builds increased risk
  • 18–24 month average duration
  • High cost, variable outcomes
18–24 months · phase-gate ritual
Chapter Two

Thirty years,
faster every time.

30 years of SAP implementation evolution

Five eras. One direction.

1995
ASAP
Phase-gate waterfall methodology
2003
ASAP 2003
Faster implementation cycles
2016
Activate
Agile fit-to-standard approach
2023
GROW with SAP
Mid-market SaaS offering
2026
GROW Fast
8-week rapid delivery program
SAP Activate Methodology

Agile. Standard. Faster.

Excluding Discover and Run · the four phases that shape every modern engagement.

Prepare
Scope and mobilise team
Explore
Fit-to-Standard workshops
Realize
Configure and test iteratively
Deploy
Go-live and hypercare
Chapter Three

GROW.

Public Cloud ERP, for the mid-market — adapt the business to the platform.

GROW with SAP

Cloud ERP,
built for the mid-market.

  • 2023 Launched for mid-sized firms
  • SaaS S/4HANA Cloud Public Edition
  • TCO Lower than on-premise solutions
  • Releases Quarterly innovation, included
  • Target 3–6 month implementation
A quick clarification

"GROW" means three different things.

Clarifying that early avoids a lot of project confusion.

Commercial Journey

GROW with SAP / SAP GROW

The offer and journey for net-new ERP customers starting fresh in Public Cloud.

Implementation Method

SAP Activate

The six-phase framework with fit-to-standard, tools, accelerators, and delivery guidance.

Discover · Prepare · Explore · Realize · Deploy · Run

Delivery Motion

GROW Fast

A qualified-partner, standardized fast-start approach for rapid, low-risk go-lives.

GROW is not just an 8-week plan. It is package + platform + playbook.
Chapter Four

GROW Fast.

The eight-week ambition — and the discipline that makes it real.

Executive takeaway · the core message

Launch a clean, standard Public Cloud foundation — not a custom ERP rebuild.

The 8-week plan works only when the organization accepts a launch mindset: adopt SAP standard, configure what is necessary, extend only where essential, and stabilize quickly after go-live.

1
Standardize
Use SAP Best Practices and fit-to-standard workshops as the design baseline.
2
Accelerate
Compress SAP Activate phases into focused, timeboxed delivery cycles.
3
Stabilize
Go live with controlled scope, daily hypercare, and a post-go-live backlog.
Implementation north star: keep the core clean, make decisions fast, and defer non-critical complexity.
Methodology definition

What SAP GROW Fast means.

A compressed SAP Activate delivery model for SAP S/4HANA Cloud Public Edition.

Public Cloud
SAP S/4HANA Cloud Public Edition as the target ERP platform.
Activate + ALM
SAP Activate tasks and deliverables tracked through SAP Cloud ALM.
SAP GROW Fast
Best Practices
SAP standard processes become the default design baseline.
Controlled scope
Launch scope is fixed early; complexity moves to backlog.
What it is not Blueprint-heavy custom build · Unlimited integrations · Legacy process clone
Delivery model

SAP Activate compressed into 8 weeks.

Discover is substantially complete before Week 1; the implementation compresses Prepare, Explore, Realize, Deploy, and Run.

Before W1
Discover
Confirm SAP GROW direction and initial scope
W1
Prepare
Mobilize, set governance, lock launch scope
W2–W3
Explore
Fit-to-standard workshops and backlog closure
W4–W6
Realize
Configuration, data loads, SIT, UAT, training
W7–W8
Deploy / Run
Readiness, cutover, go-live, hypercare
Fit-to-standard is the design engine; SAP Cloud ALM is the delivery control tower.
End-to-end plan

The 8-week roadmap.

A controlled launch sequence: scope lock → standard-process validation → build → testing → readiness → go-live.

W1
Mobilize
& scope lock
W2
Fit-to-
standard 1
W3
Fit-to-
standard 2
W4
Configure
& load 1
W5
SIT &
integration
W6
UAT &
training
W7
Readiness
& rehearsal
W8
Go-live
& hypercare
Governance
Kickoff, scope, decisions, weekly steering, daily standups
Process
Standard demos, business decisions, backlog triage, SOP foundation
Build
CBC configuration, roles, migration cycles, integrations, reports
Validation
SIT, UAT, training, readiness checklist, cutover rehearsal
Control points

Seven gates. Zero surprises.

The plan stays on track through formal gates, daily issue control, and weekly sponsor decisions.

G1
Mobilized
G2
Fit-to-std complete
G3
Baseline ready
G4
SIT passed
G5
UAT ready
G6
Go-live ready
G7
Live + hypercare
Daily standupBlockers, decisions, workstream status
Workstream checkpointDetailed process, data, security, testing updates
Defect triageSeverity, owner, target date, business impact
Weekly steeringExecutive decisions, scope/risk escalation
Readiness reviewFormal go/no-go evidence and acceptance
Implementation safeguards

Risk is predictable. So is the cure.

The most common causes of delay are predictable; each needs an owner and mitigation from Week 1.

Scope creep
Strict launch scope and change control
Legacy process mindset
Fit-to-standard facilitation and sponsor backing
Slow decisions
Named decision owners and daily decision log
Poor data quality
Data owners, early extracts, mock loads
Integration delays
External parties engaged in Week 1
Excessive extensions
Clean-core hierarchy and approval gate
Training left late
SOPs built from test scripts and process decisions
Unrehearsed cutover
Mandatory rehearsal before go/no-go
Escalate early: an unresolved Week 2 decision can become a Week 7 go-live blocker.
Minimum Viable Scope · Based on 1,500+ implementations

Seventy things that almost every business needs.

  • 70 SAP-validated scope items
  • 54 Prescribed core process items
  • 16 Baseline activation platform items
  • Cover Finance · Sales · Procurement · Core Enterprise
  • Window Core used first 36 months
54 prescribed 16 baseline
Finance & FICO · What's included

The finance backbone ships with the box.

Core components

  • Universal JournalSingle source of truth for all financial data
  • AP & AR AutomationIntelligent workflows built into the core
  • Asset AccountingFully configured lifecycle management

Key outcomes

  • Faster period close50–70% reduction in closing time
  • Real-time reportingLive cost-centre analytics instantly
  • Bank integrationAutomated statement reconciliation
AI-First from Go-Live · the SAP side

Joule is not an upgrade. It's the operating system.

  • Day 1 Natural-language navigation across all modules
  • AP Automated PO matching and exception alerts
  • Finance Intelligent financial anomaly detection
  • 2025 Over 400 AI features targeted by end of year
  • 75% Of SAP users report measurable AI value
Chapter Five

AI as a team member.

Public Cloud is bounded enough that AI's opinions are worth listening to.

A point of view
"Public Cloud is actually the ideal SAP delivery model to weaponise AI on. The very things that make it feel constrained to old-school FICO consultants — the standard process inventory, locked-down CBC, quarterly releases, fit-to-standard discipline — are exactly the structural features that let AI add leverage at every phase." — Steve Turner · CoreFi Partners

Greenfield ECC is too bespoke for an AI to predict outcomes reliably. Public Cloud is bounded. Bounded means actionable.

Operating model

AI across every phase of SAP Activate.

Not a tool bolted on to one workstream — an always-on team member shaping outputs from Discover to Run.

Discover
& Prepare
Scope item shortlist · BCQ drafts · gap heatmap
💬
Explore
Workshop co-pilot · delta docs · test scripts
⟨/⟩
Realize
BTP extensions · iFlows · TAT · migration
Deploy
& Run
Hypercare AI · release impact · compliance
Cross-cutting: CoreFi knowledge base (MD corpus) · Claude Code (local, secure) · Project-trained Claude project · Reusable extraction templates
Phase 1 · Discover & Prepare

Walk into Workshop 1 already knowing the answer.

AI does the long-context synthesis the senior consultant used to do on a Sunday afternoon.

Pre-workshop synthesis

  • Ingest client process maps, prior-state ECC docs, CoA samples, integration inventories.
  • Output a draft scope item shortlist per workstream — e.g. J58, 1GA, BEI, 1SG.
  • Map to Fiori apps and probable gap areas with extension-approach hints.
  • Flag intercompany, group reporting, or country friction before the workshop.

BCQ acceleration

  • Pre-populated Business-Driven Configuration Questionnaire drafts.
  • SG-contextualised: IRAS GST, ACRA, MAS, SGD base CoA.
  • Client edits a draft rather than fills a blank — closes in days, not weeks.
  • Same pattern extends to AU (BAS/FBT), NZ (IRD), US (sales tax) variants.
Phase 2 · Explore

A silent AI co-pilot in every Fit-to-Standard workshop.

Transcript in, four artefacts out — by close of business, not next week.

0
Explore phase compression
Fewer workshops, better-prepared workshops, and a pre-configured demo tenant turns Explore from discovery into confirmation.
1
Delta documentGaps ranked by extensibility approach: key-user · in-app · side-by-side · build-code.
2
Decision logEvery scope-related call captured with rationale and owner.
3
TraceabilityClient requirement → scope item → Fiori app → test scenario.
4
Tailored test scriptsDrawn from the 2,663-scenario library, edited to the client's master data.
Phase 3 · Realize

Claude Code becomes the second technical consultant.

Mechanical work moves to AI. Senior consultants supervise and validate.

BTP / CAP

Side-by-side extensions

CAP services, CDS data models, Fiori Elements annotations, deployment manifests. 2 weeks → 3 days.

Integration

CPI iFlows + harnesses

iFlow content from descriptions. Test harnesses for free — synthetic payloads, edge cases, error scenarios.

TAT

Test automation

SAP Test Automation Tool cases from natural-language process descriptions. Coverage in 1 week instead of 4.

Data

Migration Cockpit

Transform messy legacy extracts into staging-table format. Validation rules, cutover checklists, reconciliation reports.

Forms

Analytics & output

Custom CDS views, embedded analytics tiles, Adobe Forms variants. Mechanical work, AI speed.

Reuse

A living test library

The TAT library becomes an asset CoreFi reuses across every future engagement.

Phase 4 · Deploy & Run

The under-loved frontier: always-on, project-trained AI.

Hypercare

Project-trained Claude on tap

Every "where do I find…" and "why won't this post" logged. A Claude instance trained on the project's actual configuration answers in the client's own language and master data context.

Senior consultant becomes the trainer of the AI, not the tier-1 responder.

Quarterly

Release-readiness workflow

Ingest SAP "What's New", release notes, deprecations. Cross-reference against the client's actual scope items and apps. Output: a one-page impact assessment + recommended regression set.

A productisable quarterly subscription for CoreFi clients.

Compliance

Continuous compliance drift

SG IRAS / GST · ACRA · MAS · AU BAS/FBT · NZ IRD. A Claude agent watches for policy changes, cross-references the client's tax configuration in S/4, and flags drift to the CFO.

Beyond the methodology

Five ideas worth prototyping this quarter.

👤

The synthetic Steve

A Claude instance trained on every paper, decision, and tailored test script. Available to junior consultants and clients between formal engagements. Codifies the partner's judgement.

Pre-sales estimation engine

Trained on every CoreFi proposal and actual outcome. Triangulates effort from a short client questionnaire. Directionally better than gut feel on a Tuesday.

Demo-on-demand

Claude Code spins a tailored S/4HANA Public Cloud tenant configuration script populated with prospect-relevant master data, with a guided walkthrough generated from the prospect's pain points.

The Fit-to-Standard adjudicator

When a client insists "we have a unique requirement," Claude argues the other side — three comparable clients who solved it within standard, plus the long-term cost of the extension being commissioned.

📚

Self-tending knowledge base

The MD corpus stops being a static snapshot. A Claude Code agent refreshes against SAP Help Portal, Notes, and release notes, then notifies the partner of meaningful deltas.

Operating model

A team of five performs like a team of twelve.

AI does not replace consultants. The team reshapes around it.

Senior consultant
CoreFi
Throughput roughly doubled. Role shifts toward judgement, client relationship, and AI supervision.
Junior / functional
consultant
Validation and quality-checking AI output against SAP-standard discipline. Less mechanical, more meaningful.
Claude
team member
Synthesis, drafting, mechanical configuration support, test generation, documentation. Always-on, supervised.
Claude Code
developer
BTP development, integration scripting, data migration tooling, test automation. Supervised technical lead.
Net effect: a CoreFi 5-person Public Cloud team performs at the throughput of a tier-1 SI's 12-person team — with better consistency, because AI doesn't have bad days.
The honest guardrails

Senior practitioners earn their fees partly by knowing what not to do.

🔒

Client data confidentiality

Sensitive data stays in tenanted environments. Claude Code runs locally against approved corpora. Don't upload client G/L to a public AI tool.

SAP licensing & IP

SAP-proprietary content (Notes, full Best Practice under licence) doesn't enter a publicly searchable AI corpus. The MD corpus is derivative summary, not verbatim reproduction.

The Fiori app hallucination problem

Claude will occasionally confidently name a Fiori app that doesn't exist. The senior consultant verifies, always. AI accelerates; it does not authorise.

Quarterly release exposure

AI-built BTP extensions need the same regression discipline as standard processes. The AI that built them is also the AI that tests them — but a human signs off.

Additional topic · The talent challenge

The rare profile is not "an SAP consultant."
It is someone who can run standard-first design at sprint speed.

That blend is narrower than the market often assumes.

What that means in practice

  • Knows SAP standard well enough to say "yes", "no", or "phase 2" quickly
  • Can run fit-to-standard workshops without letting every issue become a redesign
  • Keeps decisions, dependencies, and actions moving week by week
  • Guides business users through change without sounding dismissive
A great configurator is not automatically a great GROW Fast consultant.
Additional topic · The hidden constraint

Fast projects compress calendar time.
They do not reduce business effort.

Month-end still happens. Payroll still runs. Operations still need decisions.

The client still needs to provide

  • Empowered key users in workshops
  • Fast process, data, and role decisions
  • Timely UAT and sign-off
  • Training participation and change champions
  • Availability around operational peaks
The real risk is usually not consultant hours. It is client bandwidth.
A practical option

50% effort. 2× the duration.
Same discipline. Gentler tempo.

Option A

The 8-week sprint

  • Best for a highly available sponsor and key users
  • Tight MVP scope and fast decisions
  • Minimal collisions with BAU peaks
Option B · recommended

The 16-week glide path
~20 hours / week

  • Same standard-first rules and scope discipline
  • More room for business reflection and sign-off
  • Easier fit with month-end, payroll, and BAU
  • More manageable pace for UAT, training, and review
Longer elapsed time helps humans. Strong governance still prevents scope creep.
Fit-to-Standard · Essential gaps only

A filter. Not a scavenger hunt for every difference.

Capture now if it is

  • Legally, audit, or control critical
  • A true blocker to doing the job
  • Materially important for reporting or integration

Defer or drop if it is

  • Preference or familiarity
  • Cosmetic or comfort-driven
  • A rare edge case with better phase-2 value
Work as if you could go live in 16 weeks — then use the extra time for training, rehearsal, data confidence, and executive review.
Additional topic · Readiness

Maybe the system could go live in 8 weeks.
The people might not.

That is not failure. That is useful honesty.

Readiness check

  • Empowered decision-makers available weekly
  • Key users can attend workshops and test promptly
  • Scope is genuinely MVP
  • Data owners are named and active
  • Leaders are willing to say "no" to nice-to-haves
  • Change management is active, not assumed
If several answers are "not yet", choose a longer runway. Good governance beats artificial speed.
Chapter Seven

The proof.

Fifteen-hundred go-lives. Real numbers. Real customers.

The business case at a glance

Three eras. One direction of travel.

MetricTraditional ERPGROW with SAPGROW Fast
Timeline18–36 months3–6 months8 weeks
Cost$500K – $5M$75K – $500KFixed price
CustomisationHeavyStandardMinimal
RiskHighMediumLow
AI from Day 1✗ No◐ PartialYes
Proven financial impact · Forrester TEI — GROW with SAP

$3.1M of measured value. Three-year window.

$630K+
Infrastructure & labour savings
$443K
Disaster recovery cost avoidance
$370K
Profit lift from real-time decisions
0
Revenue growth increase
0
Efficiency gain for heavy users
$3.1M
Total financial improvement
over 3 years
Recent wins · 2024–2025

Six industries. Six fast go-lives.

Western Sugar
USA · Manufacturing
25% faster
AP automation · Ariba integration
TOPS
Manufacturing
75% faster
Monthly financial close
Wefabricate
Industrial
10 weeks
Go-live · GROW Fast cloud-first
Brussels Airport
Transport
Streamlined
Operations
FineField
Services
Real-time
Reporting
Rajasthan Barytes
Mining
3 months
ERP implementation
The consultant's new role

From technician strategic advisor.

Before

Technician mindset

  • Writing long functional specifications
  • Managing custom development builds
  • Testing bespoke code configurations
After

Advisor mindset

  • Guiding critical scope decisions
  • Driving adoption and change management
  • Advising on Wave-2 scaling strategy
"The value is in the advisory, not the configuration."
After go-live · Wave 2 & beyond

Three waves to a full digital core.

01
Wave 1MVS core live · Finance & Supply Chain
02
Wave 2Extended modules · HR · CX · Analytics
03
Wave 3Advanced AI · industry-specific add-ons

Scaling strategy

  • Wave 1Establishes a solid MVS core foundation
  • Wave 2Adds specialised extended modules
  • Wave 3Deploys advanced AI capabilities
  • SAP BTPEnables clean-core custom extensions
  • QuarterlyContinuous innovation release cycle
GROW Fast · Singapore & Southeast Asia context

A mid-market moment for the region.

ECC maintenance ends Dec 2027The clock is the headline driver across APAC ERP refreshes.
SG & SEA mid-market fitSingapore SMEs, regional HQs, and ASEAN subsidiaries are ideal GROW Fast candidates.
Key sectorsManufacturing · Logistics & Maritime · Financial Services · Industrial Services.
Strong partner ecosystemEDG-supported digitalisation, mature SAP partners across Singapore and the region.
Key takeaways

Six things to carry back to the office.

  1. 01ERP is now delivered in weeks, not years.
  2. 02GROW Fast delivers MVS live in 8 weeks — and a 16-week glide path is a legitimate, often better, alternative.
  3. 03Joule AI is standard from Day 1, not an add-on.
  4. 04Public Cloud is the ideal substrate for AI as a team member across every Activate phase.
  5. 05Forrester TEI: $3.1M measured improvement over three years.
  6. 06The consultant role is now strategic advisory — fit-to-standard, change, AI supervision, Wave 2.
Discussion

Questions &
Discussion.

Mastering SAP · Collaborate Singapore · 14–15 May 2026 · VOCO Orchard

Thank you.

Steve Turner SAP Certified Public Cloud Consultant · CoreFi Partners