New integration
Define the API or file contract, source of truth, mapping, authentication, timing and exceptions before implementing the connection.
Interface Engineering
Make interfaces trustworthy for the people who use the data.
Connect systems and make existing data flows reliable: APIs, files, jobs and webhooks across ERP, CRM, MES, EAM, reporting and cloud tools. EAM is one possible endpoint.
For application owners, integration leads and implementation partners. Start with one broken flow or a clearly defined connection that needs building.
Tiravera
Build the connection. Verify the operational result.
Existing interface
Trace missing, duplicate, late or out-of-sequence records. Check retries, reconciliation, monitoring and ownership against representative examples.
Accepted result
Receive the implemented connection or a diagnosed issue map, depending on the agreed package, with test evidence, operating notes and an explicit list of remaining work.
Delivery
From a clear scope to an accepted result.
Agree the work package
Define the problem, systems, access, owner, deliverables and acceptance criteria. We agree effort, timing and commercial terms before work starts.
Diagnose
Trace representative records and the current workflow. An audit delivers an issue map and priorities; implementation is scoped separately when the findings call for it.
Build and verify
Implement the agreed change or pilot. Check expected and actual results across normal, difficult and exception cases with the people who use the workflow.
Hand over and decide
Hand over the change record, test evidence, operating notes and remaining risks. Agree ownership and whether to deploy, harden, integrate or stop.
Tiravera
Bring one data flow.
Systems and evidence
Source and target systems, a representative record, logs or timestamps, the current workaround and the people who can confirm the intended result.
Tiravera
See the work behind the offer.
Selected material by Lukas Paul Streiff: demonstrations, technical explanations and self-initiated prototypes.
Interface engineering approach
Trace the data meaning, timing, retries and downstream result. Lukas explains why a successful API call is only one part of a reliable operational interface.
Read the approachPrototypes: applied machine learning
Lukas's self-initiated prototypes explore patterns in water-pressure data and visual anomalies in hoof images. These examples illustrate candidate use cases; customer pilots require their own evaluation.
Explore the prototypesDemo: EAM inbox configuration
Lukas demonstrates AI executing an EAM configuration through the browser under expert direction. A concrete example of the boutique working method.
Watch the demoBring one concrete problem.
Describe the workflow, share an example and say what should improve. The first 20-minute conversation is free; we agree the scope before paid work starts.