Versioned assets
Establish trusted inputs, ownership, and clear access boundaries.
TECHNOLOGY / AI
Operate AI with evidence rather than intuition.
ARCHITECTURE GUIDE / 08HOW THE TECHNOLOGY CONNECTS
REFERENCE DESIGNTHE PRACTICAL VIEW
A successful prototype must become an observable production workflow.
Versioned prompts and models, evaluation datasets, trace analysis, deployment gates, and feedback loops. The right design depends on data characteristics, operating constraints, risk, and the people who will maintain it.
Baseline task quality; test regressions; stage releases; monitor drift, latency, cost, and tool failures.
ARCHITECTURE RESPONSIBILITIES
Establish trusted inputs, ownership, and clear access boundaries.
Make this responsibility explicit, observable, and independently testable within the overall workflow.
Make this responsibility explicit, observable, and independently testable within the overall workflow.
Make this responsibility explicit, observable, and independently testable within the overall workflow.
Define acceptance checks and ownership of the resulting information or action.
TECHNOLOGY OPTIONS
MLflow, experiment tracking, evaluation harnesses, OpenTelemetry
Examples describe architectural options, not Travinto partnerships, certifications, or confirmed integrations.
Does the pattern solve a specific workflow problem?
Can access, quality, and source evidence be verified?
Can the team observe, recover, and manage the system?
Can usefulness and cost be evaluated against a baseline?
START WITH YOUR CONTEXT
Explore the opportunity, assess your current landscape, and agree a focused scope with clear success criteria.
Discuss MLOps, LLMOps & agent evaluation ↗X2X / PRODUCTS
Explore proposed product experiences for code, data, BI modernization, agent-assisted ingestion, and accountable operations.
All offerings are product designs. Final scope, availability, source/target coverage, and integrations require confirmation.