HOW IT WORKS

How we find what your evals miss.

One evaluation system. Domain experts design the benchmark, grade every case, and trace every failure — so you get a structured verdict, not a review doc.

Assess a workflowSee a sample scorecard
THE SYSTEM

One workflow in. One scorecard out.

Benchmark design, expert grading, root cause tracing, failure taxonomy, calibration, and CI/CD export — in a single integrated evaluation loop.

Your agent workflow

Any model, any harness

Omara evaluation engine

Benchmark designExpert gradingRoot cause tracingFailure taxonomyCalibrationCI/CD exportRegression suites

Structured scorecard

Failure codes, severity tiers, remediation targets

THE PROCESS

From first call to continuous evaluation.

1
1–2 daysFree

We study your workflow and design the benchmark.

Point us at an endpoint, share transcripts, or give us staging access. A domain expert studies your agent's behavior — retrieval paths, reasoning chains, cross-reference handling — and designs a benchmark around the failure surface that matters for your next launch decision. Cases are constructed to test edge conditions your internal evals can't reach: jurisdiction-specific traps, cross-document dependencies, adversarial inputs that look routine.

Any model · Any harness · Your production data or synthetic cases

2
1–2 weeksFree

Domain experts grade 35–50 cases end-to-end.

Every case is graded against a rubric designed for your workflow. Experts trace where the agent went wrong — was it retrieval, reasoning, cross-reference traversal, or policy application? Verdicts are calibrated through inter-annotator agreement, not individual opinion. You get a scorecard with failure codes, severity tiers, root cause traces, and a ship-or-fix recommendation.

Calibrated verdicts · Inter-annotator agreement · Root cause tracing

3
OngoingOngoing

Every deploy, re-benchmarked.

When the model or workflow changes, the benchmark re-runs. New edge cases fold in each cycle based on what previous rounds discovered. The failure taxonomy evolves. Structured JSON exports plug into your CI/CD pipeline for automated gating. Over time, the benchmark becomes a living regression suite — purpose-built for your workflow.

Structured JSON · CI/CD gating · Regression suite · Edge case expansion

THE OUTPUT

A structured scorecard. Not a review doc.

FAILURE TAXONOMY

Failure taxonomy

Every failure gets a code and a category. You know exactly what type of problem occurred, not just that something went wrong.

SEVERITY TIERS

Severity tiers

Blocked, review-required, or long-tail. You know what to fix before launch versus what to track for later.

ROOT CAUSE TRACES

Root cause traces

Per-case breakdown of where in the agent pipeline the failure occurred. Retrieval? Reasoning? Cross-reference? Policy? Separates model issues from system issues.

REMEDIATION TARGETS

Remediation targets

Specific, actionable recommendations linked to each failure mode. Not 'improve accuracy' — but 'flag §12.4 deemed-assignment trigger.'

LAUNCH RECOMMENDATION

Launch recommendation

Ship, fix, or block — with clear reasoning. An artifact you can hand to your VP or your enterprise customer's compliance team.

JSON EXPORT

JSON export

Every verdict exports as structured JSON for CI/CD gating, regression tracking, and programmatic access. The scorecard isn't a PDF — it's infrastructure.

Evaluators from Goldman Sachs · McKinsey · Deloitte · AmLaw 100 firms

<5% acceptance rate · 85%+ advanced degrees · Calibrated via inter-annotator agreement

Every evaluator is calibrated through inter-annotator agreement scoring, audit sampling, and continuous performance review.

One workflow. One scorecard.

See what your eval pipeline is missing.

Assess a workflow

or email team@omaratechnologies.com