Two-page executive summary
Standalone decision document with management value case, priorities, investment, owners and a 90-day proof plan.
Executive Blueprint · Core premium engagement
Executive AI Transformation Blueprint
Move from fragmented AI activity to a decision-ready transformation architecture in three weeks.
We connect management interviews, operating reality, economic baselines and AI architecture in a CEO- and board-ready Blueprint. It shows what value is attainable, what takes priority, who is accountable and how the first 90, 180 and 365 days should unfold.
Timeframe
15 working days
Primary deliverable
30–45 pages plus separate executive summary
Management decision
What should we stop, build, test and scale?
The management problem
AI activity is not the same as transformation capability.
When pilots, tools and local initiatives do not share a value, architecture and governance logic, leadership cannot prioritise credibly or scale safely.
The Blueprint creates a binding decision architecture. It identifies the few initiatives that deserve management capacity now and the foundations that must be built in parallel.
The Executive AI Transformation Blueprint creates decision capability. The AI Transformation Execution Partnership then creates execution and operating capability.
Binding deliverables
An executive deck that makes investment, accountability and first value proofs decidable.
The Blueprint is not a long report about AI. Every page supports a management decision and distinguishes facts, signals, inferences, assumptions and recommendations.
30–45-page Fassbender executive deck
Diagnosis, operating reality, portfolio, target model, workstreams, roadmap, resources, value measurement and decisions.
Management value case
Evidence-backed or explicitly hypothetical value levers with baseline, target range, logic, owner and review date.
Stop–Foundation–Test–Scale portfolio
Explicit decisions for every assessed AI initiative instead of an unfunded wish list.
Target AI Operating System
Target state across value, work, data, models, integrations, governance, evaluation and roles.
Three to five workstreams
Execution-ready initiatives with value, AI solution pattern, owner, KPI, resources, risks and gates.
90/180/365-day roadmap
Specific first 90 days, a robust 180-day path and strategic direction through day 365.
Executive decision session
Three-hour session to approve the portfolio, value logic, resources, accountabilities and first 30 days.
How a decision becomes defensible
How an AI initiative becomes a management decision.
The Executive AI Transformation Blueprint turns the business problem, evidence, accountability and next steps into a management instrument for a deliberate start, adjustment or stop decision.
Illustrative working example. Not a client project and not a promise of results.
Decision page as a working example
Example: AI support for a quotation and service process
This page shows the structure of one workstream decision. It does not reproduce a client case and contains no client data, budgets or results.
Decision status
Test recommended
Value proof status
Value hypothesis. The current baseline still needs to be collected.
- Process in scope
- Quotation and service clarification: prepare information in a structured form before a responsible employee reviews and approves the customer case.
- Current baseline
- Establish cycle time, manual review effort and quality against a clearly defined baseline.
- Human accountability
- The COO and process owner are accountable for the objective, boundaries and approval. Qualified employees review and decide every customer-relevant item during the test.
- Knowledge and data access
- Use only approved service descriptions, rules, templates and case-specific information. Source, currency and permissions remain traceable.
- Minimal integration
- The test uses a contained workspace and existing documents or approved exports. Broad CRM or ERP integration is not a prerequisite for the first proof point.
- Value and quality gate
- Define the comparison group, baseline, review steps and privacy requirements before starting. The test is measured for professional quality as well as speed.
- Test before scale
- Keep the test focused on a defined case type and a limited period. Scaling is possible only after documented evidence and a renewed management decision.
- First 90-day measures
- Cycle time, review effort and quality against the established baseline. The process owner is accountable for measurement and review.
STOP
Stop the test if the quality or privacy gate is breached, or if the required human review cannot be maintained.
SCALE
Only after evidence of value against the baseline, stable quality, documented controls and conscious approval by the accountable roles.
Three-week sprint
Speed through preparation, parallel work and hard management gates.
The 15 days begin only when sponsor, interviews, data room, scope and 24-hour feedback are confirmed.
01
Week 1 · Understand and focus
Executive kick-off, 6–10 management interviews, evidence review, problem system map and evidence/value sufficiency gate.
02
Week 2 · Decide and design
Value and priority workshop, target AI operating system, workstream design, economics, governance and Blueprint challenge.
03
Week 3 · Distil and decide
Executive deck, separate summary, fact check, pre-read, three-hour executive session and final handover.
04
After the Blueprint · Deliberate execution choice
Internal execution, selective support or an AI Transformation Execution Partnership based on the actual delivery gap.
Scope and accountability
Decision- and launch-ready, without hiding implementation inside the sprint.
The Blueprint defines the target state, workstreams, resources, accountabilities and gates. Technical implementation, data remediation, procurement and ongoing delivery sit outside the three-week sprint.
Included
- deep AI transformation diagnosis
- management value case
- target AI operating system
- execution-ready workstreams
- 90/180/365-day roadmap
- executive decision session
Not included
- technical implementation
- full data remediation
- ongoing programme management
- legal opinion
- guaranteed ROI outcomes
- unlimited scope expansion
Fit and prerequisites
A premium sprint requires access, pace and genuine executive ownership.
The Blueprint fits when
- several AI initiatives require portfolio decisions
- the CEO or leadership team needs a defensible plan
- an executive sponsor owns decisions and resources
- 6–10 interviews can be scheduled in advance
- relevant data and 24-hour feedback are available
It is less suitable when
- only a tool recommendation is required
- management access or data are unavailable
- full implementation is expected in three weeks
- a guaranteed ROI is demanded without a baseline
- every corporate function must be assessed simultaneously
Executive FAQ
Executive FAQ
Confidential engagement review
When the next AI investment requires a management decision, a roadmap alone is not enough.
In a confidential 30-minute conversation, we clarify decision need, scope, sponsor, data access and whether the three-week Blueprint is the right next step.
30 minutes with Dieter Fassbender to clarify fit and the next step, with no obligation to engage.