Work & Client Success
Show the problem. Show the engineering. Show the evidence.
Our work section is designed around real client and project outcomes. Each published story should explain the operating challenge, the choices made, the technology delivered and the result that can be verified.
Until a client, metric or testimonial is approved for publication, the website should leave it unpublished rather than replace it with fictional proof.
Proof over promises
The strongest capability story is a real delivery story.
A service page explains what Fuchsius can do. A client-success story should demonstrate what actually happened in a real engagement.
Strong work content connects business context with technical decisions. It should show why a particular architecture, integration, migration, AI approach, interface or operating model was chosen—not only display screenshots.
Where measurable outcomes exist, they should be tied to a clear baseline, period and source. Where outcomes are qualitative, the wording should remain precise and avoid invented percentages.
Selected work
Explore our projects.
Visit a selection of websites from the Fuchsius portfolio.
No published client projects are available yet.
Different levels of proof
Not every project needs the same type of story.
Case Study
The most complete format: named or approved-anonymous client context, challenge, solution, architecture, delivery and verified outcomes.
Best for: Major engagements with strong evidence and client approval.
Client Story
A shorter business-oriented story focused on the problem, collaboration and impact.
Best for: Projects where a detailed technical breakdown is unnecessary or confidential.
Project
A concise portfolio entry showing scope, responsibilities, capabilities and approved visuals.
Best for: Smaller projects or engagements without enough evidence for a full case study.
Technical Story
A technical deep dive on architecture, migration, performance, AI, DevOps or another engineering decision with sensitive client details removed.
Best for: Demonstrating engineering depth while protecting confidential client context.
How we define success
Measure the change that matters to the system and the business.
Business
- Revenue or conversion
- Process cost
- Cycle time
- Operational throughput
- Time to market
Use only when the client can verify the baseline, measurement period and result.
Customer & User
- Task completion
- Adoption
- Self-service
- Retention
- Satisfaction
- Support demand
State how the measure was collected where relevant.
Engineering
- Lead time for change
- Deployment frequency
- Defect rate
- Automated-test coverage
- Build/deployment duration
Avoid presenting engineering activity as business impact unless the connection is supported.
Reliability & Performance
- Availability
- Latency
- Error rate
- Recovery time
- Throughput
- Incident recurrence
Define the workload, time period or percentile when a number could otherwise be misleading.
Data & AI
- Data quality
- Pipeline reliability
- Model/task success
- Retrieval quality
- Human escalation rate
- Cost per interaction
Document evaluation method and representative test set for AI quality claims.
Operations
- Manual steps removed
- Exception rate
- Processing time
- Support volume
- Reconciliation effort
Use actual before/after evidence where available.
Confidential engagements
Useful proof does not require exposing sensitive client information.
When a client cannot be named, Fuchsius can publish an approved anonymous story only when the description is specific enough to be credible and does not reveal confidential information.
Your next case study starts with a real problem
Have a system, workflow or product that needs to change?
Tell us the current situation and the outcome that matters. We can help shape the engineering path.