Plan & Proof
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Step 2 · Make the plan

Digital strategy and target architecture

Two lenses and one target architecture. We rethink without bias, respect what you have today, and build the bridge between the two.

Duration

10-12 weeks

Pricing model

Fixed price

You end up with

An adopted target architecture and roadmap where every decision has value, an owner and a sequence.

For you if you

Need to decide where to improve and where to leap. Face an ERP or platform change. Or have put AI on top of the old processes without the work changing.

Price and payment

Fixed price with five decision points. You can start with a 1-2 day clean sheet workshop for one value stream.

What it includes

01Input template, interviews and maturity for all business areas
02Clean sheet workshops per value stream: from the future backwards
03Diagnosis in eight steps from business drivers to systems: from today forward
04One decision per capability: keep, consolidate, replace, build or rethink
05Target architecture in six layers with architecture principles
06Roadmap in four waves, business cases and roles

Two lenses and a bridge

Lens 1

From the future backwards

If we built the company today with AI, agents and data products, how would it work? Start with the customer, no system names. Agents execute, people decide.

Lens 2

From today forward

What do we have, what works, and what blocks what we want? From business drivers to data and systems, an honest diagnosis, and day-to-day operations protected.

The bridge

Target architecture and roadmap

One decision per capability, target architecture in six layers and a roadmap in four waves. Bold where AI changes the work. Realistic where the existing works.

The target architecture in six layers

The core systems stay. Intelligence moves up into data products, domain services and agents.

Strategic themesThe architecture follows the business's strategic themes
Experience layerRole-based interfaces across channels: workspaces, customer portal, mobile, partners
Business capabilitiesDomain services execute, AI agents orchestrate
Access layer (MCP)One secure and auditable access point for agents and systems
Data platformData products, shared data model and master data: reliable data for AI and operations
Source systemsERP, CRM, production and external data: connected source systems that stay

Five decisions in 10-12 weeks

The two lenses run in parallel and meet in the bridge, where leadership decides. Execution is agreed separately afterwards.

Week 0-10. MobiliseLink to the strategy, scope, sponsor and steering committeeG0
Week 1-31. Understand needsInput template for all business areas, interviews, maturity and digital potentialG1
Week 3-62. Two lensesClean sheet workshops per value stream and diagnosis in eight steps, in parallelTwo tracks
Week 6-83. The bridgeDecision per capability: keep, consolidate, replace, build or rethinkG2
Week 8-114. Target and roadmapTarget architecture in six layers, principles, roadmap in waves and business casesG3
Week 11-125. AnchorRoles and operating model, presentation to the executive team, the first 100 daysG4

How we can work together

Find the value

Clean sheet workshop

1-2 days for one value stream

Today, clean sheet and the benefit side by side. Can be part of a Readiness Check.

Outcome: A clear picture of what AI can change

Make the plan

Digital strategy and target architecture

10-12 weeks

Two lenses and the bridge, target architecture in six layers, roadmap in waves and business cases.

Outcome: An adopted target architecture and roadmap

Deliver the proof

First wave and governance

3-12 months

Programme management and PMO, architecture and governance in operation, first value stream rethought and measured.

Outcome: The first measurable results

Read more

ArchitectureTwo lenses give a target architecture that is both bold and realisticExampleSee an example of a data and AI strategy →
← Previous stepData & AI strategyNext step →Mobilisation and lighthouses

Facing a decision on digital, data and AI?

A new CIO, a new group strategy, an ERP change, many pilots and few in production, or a board asking about AI. Call when the decision is approaching.

Book an introductory meeting