05 · The Joule-Native Selective Transition

A path between big-bang RISE and slow ECC death.

Most Nordic SAP buyers in 2026 are stuck choosing between two bad options — full big-bang replatforming (expensive, risky, slow to value) or do-nothing-and-pay-the-extended-support-premium. There's a third path nobody is publishing about: selective transition, with Joule activated progressively as each domain migrates. Forefront can credibly publish this — Joule is already running in production for one of your customers. This is the published version of that POV.

The position

For most Nordic mid-market SAP, selective wins.

The default Nordic conversation in 2026 is binary: big-bang RISE or slow ECC death. Both are wrong for most mid-market accounts. Selective transition — what SAP and BCG sometimes call smartfield or selective data transition — sits between the extremes and is what wins in markets like Sweden where consensus buying, cost discipline, and operating-model continuity all matter more than speed. Forefront can credibly publish this position because (a) the team has the multi-hyperscaler depth to deliver it, and (b) Joule is already running in production for a Forefront customer. Nobody else in the Nordic SAP space owns both. This doc is the published version of that position — a POV Daniel can post under his own name.

The decision

Three paths. One usually right.

The framework below is the simplification we'd publish. Three columns — Big-Bang RISE, Selective Transition, Do-Nothing — scored across the variables that actually drive the Nordic decision. Customer profile inputs determine which column fits; in our experience roughly two-thirds of mid-market Nordic SAP accounts land in the middle column, and the framework defends why.

RISK · ★★★★★

Big-Bang RISE

RIGHT FOR · ~15% OF NORDIC MID-MARKET
  • Cost: 2-3× selective. Largely capex.
  • Timeline: 18-30 months end to end
  • Disruption: full operating-model change
  • AI activation: post-go-live (year 2+)
  • Best fit: clean ECC landscape, strong internal team, business case for full reinvention
  • Worst fit: heavy customization, talent shortage, finance-skeptical
RISK · ★★

Joule-Native Selective Transition

RIGHT FOR · ~65% OF NORDIC MID-MARKET
  • Cost: predictable, phased opex+capex split
  • Timeline: phased value within 6-9 months
  • Disruption: scoped to one process domain at a time
  • AI activation: progressive — Joule on the migrated domains while ECC continues elsewhere
  • Best fit: customization debt, multi-country reporting, hybrid landscape, talent-constrained
  • Risk: requires the partner to actually know how to do it (most don't)
RISK · ★★★★★ (deferred)

Do-Nothing / Extend

RIGHT FOR · ~20% OF NORDIC MID-MARKET
  • Cost: low through 2027, then sharp uplift via extended support
  • Timeline: forced action by 2030
  • Disruption: nil now, severe later
  • AI activation: blocked — no Joule path on ECC
  • Best fit: divestiture or M&A pending; very small footprint
  • Worst fit: literally everyone else

The opinionated claim of the Method: if you're not in the bottom 20% (genuinely about to be acquired or shut down), you should not be choosing between Big-Bang and Do-Nothing. Selective transition is the rational path. The reason most accounts don't already see it that way is that their existing partner doesn't sell it — Big Four push big-bang because that's their billing model, small boutiques push lift-and-shift because that's their capability. Forefront's position: we sell selective because it's the right answer, not because of our cost structure.

The Joule layer

AI activation, phased.

Most "AI on SAP" stories are aspirational — a slide that says you'll get to Joule "after the migration." The Joule-Native version inverts that: Joule activates on each domain as it migrates, so the customer sees AI value in the first phase, not in year three. This isn't theoretical for Forefront — base Joule for Digital Manufacturing is already running in production for a customer. The Method documents how that gets repeated: the data access pattern, the BTP integration plane, the hyperscaler-native services that make it work without a full landscape replacement.

Phase 1 · Digital Manufacturing or Finance

First domain selected based on highest pain × lowest disruption. Migrate process to S/4HANA Cloud (PCE if private cloud needed, public if not), activate base Joule for that domain, integrate via BTP back to ECC for the remaining landscape. Customer sees AI value in 4-6 months.

Phase 2 · Adjacent domains

Sequenced through procurement, supply chain, or HR depending on customer priorities. Each phase activates Joule for that domain. The migrated portion of the landscape grows Joule-native; the un-migrated portion stays on ECC, integrated via BTP.

Phase 3 · Last-mile rationalization

By the time the last domain migrates, the customer is mostly on S/4HANA, mostly on Joule, and the ECC sunset is a clean operational decision rather than a forced cliff. Total elapsed time: 18-24 months in three phases vs 24-36 months for big-bang.

Underlying architecture

BTP as the integration plane (non-negotiable). Hyperscaler-native services (Azure or GCP) for data, identity, AI extension. Clean-core S/4HANA — customizations live in BTP extensions, not in S/4 itself. Joule data access scoped per domain so AI doesn't cross-contaminate ungoverned data.

For LinkedIn, under your own name

Three posts to publish.

A starter set of LinkedIn posts you can publish in your own voice over the next 6-8 weeks. Each is designed to do two things at once: stake the Joule-Native Selective Transition position publicly so Forefront SAP starts owning it, and build Daniel's individual category profile in the Nordic SAP conversation. Edit freely.

POST 01 · The position-staking post
Most Nordic SAP migrations being sold in 2026 are a binary: big-bang RISE, or slow ECC death. Both are wrong for most of the customers I talk to. The right answer for most mid-market Nordic SAP — and the one almost nobody is publishing about — is selective transition. Migrate one domain at a time. Activate Joule on that domain as it goes. Keep the rest of the landscape on ECC, integrated via BTP. Sequence through. Done in 18-24 months instead of 30-36, with AI value showing up in month 4 instead of year 3. We're calling this Joule-Native Selective Transition. We're already running it in production for a manufacturer. Happy to compare notes with anyone in a similar spot. #SAP #S4HANA #SAPJoule #DigitalTransformation
POST 02 · The "stuck-program" post
Pattern I keep seeing in Nordic SAP this year: Customer started a migration program 18 months ago. Picked an SI. Ran Phase Zero. Got to a recommended path. And then... nothing. Funding's debated. Architecture's debated. Operating model is debated. The deadline gets closer. Nobody actually reset. If this is you — or someone you work with — the most useful thing isn't another vendor pitch. It's a 90-minute second-opinion audit on why the program is stuck. We do these for free, no displacement of your existing SI, just a written one-page note on what we'd watch. Send me a DM if useful. The 2027 clock doesn't care about who's "supposed" to fix this. #SAP #ERP #DigitalTransformation #Nordic
POST 03 · The proof post
Three months ago we activated base SAP Joule AI for Digital Manufacturing in a customer's S/4HANA landscape. Live, in production, on Microsoft Azure private cloud. What that actually means in practice: their plant supervisors can ask "why was line 3 below throughput on Tuesday" and get a real answer pulled from the actual data, not a dashboard they have to interpret. Their planners are running scenario analysis on production schedules without writing reports. Their finance team is starting to see real-time margin views per SKU. I don't usually post about specific customer work, but the gap between "AI on SAP" as a slide and "AI on SAP" as a deployed reality has gotten ridiculous. The slide is everywhere. The deployed reality is rare. If you're somewhere on that journey and want to skip a few of the dead-ends we hit, I'm happy to talk. #SAP #SAPJoule #Manufacturing #AI
For your next speaking slot

A talk track. Forty minutes.

Skeleton outline for a Joule-Native Selective Transition talk. The Poznan Joule talk Björn-Henrik already gave is the seed; this is the version positioned for a CFO/CIO audience at SAPSA, an industry event, or a customer roundtable. Forty-minute talk, 20 of those for Q&A.

  1. 01 · 5min Set the binary. Most of the Nordic SAP conversation right now is "big-bang RISE or slow death." Both are wrong for most mid-market customers. Selective transition exists. It just isn't being sold by the SIs who structurally don't profit from it.
  2. 02 · 10min Walk the framework. Three columns — Big-Bang, Selective, Do-Nothing. Cost, risk, timeline, disruption, AI activation. Where each column fits.
  3. 03 · 8min Show the Joule layer. Why phased AI activation changes the business case. Reference the live deployment (with customer permission). Show the BTP integration architecture briefly.
  4. 04 · 5min Be honest about the limits. Selective doesn't fit every account. Be specific about when big-bang really is the answer. This builds credibility — most consultancies pretend their answer fits every customer.
  5. 05 · 12min Open the room. Q&A. Forefront's position is strongest here — Daniel and Björn-Henrik both answer, multi-hyperscaler positioning lands when the audience tries to test it.
A footnote on credibility

This works only because of what's already shipped.

The reason this position is defensible — and the reason it's an asset and not a marketing claim — is that Forefront has actual proof. Joule running in production. Multi-hyperscaler delivery (Azure migration of 70+ servers, GCP Partner of the Year for Sweden via the parent group). 20+ years of transformation depth across the wider Forefront ecosystem. The Joule-Native Selective Transition Method is a published interpretation of work the team is already doing. Other Nordic SIs would need 18-36 months to credibly claim this position. By the time they get there, Forefront should already own the category.