01 / GuidelyPro.AI
Help shoppers decide what to buy.
A product match engine that asks relevant questions, matches stated needs to catalogue information and explains its recommendations.
AskMatchExplain
See the project story
Independent Swiss strategy and implementation partner
Make the right AI and customer-experience moves — then make them real.
ad bonum helps leaders turn unclear priorities into focused decisions, better customer journeys and working AI solutions.
A focused fit conversation. The work is scoped only after the context, evidence and constraints are understood.
From uncertainty to working change
01
EvidenceCustomer, business and operational signals
02
DecisionA priority, boundary and reason to proceed
03
ImplementationA tested change with clear ownership
One coherent path from question to next learning loop
Zug, Switzerland
ad bonum AG
ad bonum AG
Clarity · Strategy · Results
Decide · Improve · Build
Decide · Improve · Build
Published perspective
Contributor to The AI Opportunity
Contributor to The AI Opportunity
Member of
Clarity · Strategy · Results
Start with the business question — not the technology.
The promise maps to three practical starting points: decide for clarity, improve through strategy and build towards useful, testable results.
01 / Clarity
Decide where AI can create value
For leaders facing many ideas, competing priorities or an unclear path from ambition to action.
AI opportunity and transformation strategy → 02 / StrategyImprove a critical customer journey
For services and touchpoints that create avoidable effort, confusion or inconsistency.
Customer experience and service design → 03 / ResultsBuild a viable use case into practice
For teams that need to test, govern and implement a focused AI-enabled solution.
AI systems and implementation →One working model
Evidence becomes a decision. A decision earns the right to become a build.
The sequence adapts to scope, but the logic stays visible: frame the problem, diagnose the evidence, decide what matters, build what is useful and embed the learning.
01
Frame
Which decision, journey or use case is blocked?
Output: shared problem statement02
Diagnose
What evidence and constraints should shape the choice?
Output: evidence and constraint map03
Decide
What is worth doing now—and what is not?
Output: priority and pilot decision04
Build
What works under relevant conditions?
Output: tested change or pilot evidence05
Embed
Who owns the next decision and learning loop?
Output: ownership and next-step planThe depth of each stage adapts to the decision, available evidence and implementation context.
Explore the approachExecution Lab
Proof that strategy can become something people use.
These live products and digital experiences show how a clear problem can become a focused, working experience.
02 / heilmann.swiss
Professional services made easier to navigate.
A live private-office website shaped around brand expression, service architecture and clear consultation paths.
See the project story
03 / conata.app
Contact details that stay current between connections.
A privacy-oriented contact-management experience in which a person updates a shared profile once and approved connections receive the current details.
See the project storyWhy ad bonum
Clarity without the performance.
A calm, evidence-led way to connect an executive decision with the work needed to test and implement it.
01Independent
The business and customer problem comes before a preferred platform or fashionable use case.
02Analytical
Evidence, constraints and decision criteria are made explicit before a recommendation is framed.
03Execution-minded
Connect advice to a test, product or working digital experience.
A visible point of contact
Speak directly with Stephan Heilmann.
Stephan Heilmann is Managing Partner of ad bonum AG. He works with leaders on AI strategy, customer experience and implementation, connecting business decisions with practical execution.
Contributing co-author
The AI Opportunity brings together perspectives from 33 contributors on AI, work and society.
Read the book noteBefore the first conversation
Useful questions, answered plainly.
Where can the work start?
With a blocked decision, a customer journey that needs attention or a viable use case that needs testing. You do not need to force every problem into an AI project.
Do we need a finished AI use case?
No. Strategy work can help reduce a long list of ideas to a defensible priority. Implementation work should begin only when the use case, evidence and constraints are clear enough to test.
Do you advise only, or also build?
ad bonum supports both strategy and implementation. The Execution Lab shows products and websites that make this practical delivery capability visible.
What happens in the first call?
The 30-minute session explores your need, considers potential options and identifies a useful path forward. The next step depends on the situation and proceeds only by mutual agreement.
How are data and privacy handled?
This website does not ask you to submit confidential business information. Data handling for any later engagement is defined against the actual use case, systems and legal requirements.
Free 30-minute introduction
Bring the decision, journey or use case that is currently blocked.
Use the first conversation to clarify the context, the evidence available and whether ad bonum is the right fit.
Book a free 30-minute call01
Share the problem and relevant context.
02
Test fit, constraints and possible starting points.
03
Agree the most useful next step—if any.