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TECHNOLOGY / AI

MLOps, LLMOps & agent evaluation

Operate AI with evidence rather than intuition.

ARCHITECTURE GUIDE / 08

HOW THE TECHNOLOGY CONNECTS

REFERENCE DESIGN
01Versioned assets
02Evaluation suite
03Release gate
04Runtime traces
05Feedback + refinement
CONTROL PLANEIdentity · governance · observability

THE PRACTICAL VIEW

Understand the pattern.
Then choose the tools.

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

01

Versioned assets

Establish trusted inputs, ownership, and clear access boundaries.

02

Evaluation suite

Make this responsibility explicit, observable, and independently testable within the overall workflow.

03

Release gate

Make this responsibility explicit, observable, and independently testable within the overall workflow.

04

Runtime traces

Make this responsibility explicit, observable, and independently testable within the overall workflow.

05

Feedback + refinement

Define acceptance checks and ownership of the resulting information or action.

TECHNOLOGY OPTIONS

Architecture first.
Tools with a purpose.

MLflow, experiment tracking, evaluation harnesses, OpenTelemetry

Examples describe architectural options, not Travinto partnerships, certifications, or confirmed integrations.

Fit

Does the pattern solve a specific workflow problem?

Trust

Can access, quality, and source evidence be verified?

Operate

Can the team observe, recover, and manage the system?

Value

Can usefulness and cost be evaluated against a baseline?

Where this pattern
can come into focus.

The connected technology landscape

Explore adjacent architecture patterns and their responsibilities.

All technologies ↗

START WITH YOUR CONTEXT

Make the next step
a practical one.

Explore the opportunity, assess your current landscape, and agree a focused scope with clear success criteria.

Discuss MLOps, LLMOps & agent evaluation ↗

X2X / PRODUCTS

Modernization and operations.
Designed around the work.

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.