PRODUCTS / PRISM

Know what you are putting to work.

Examine AI behavior through the lens of your use case. Turn testing into evidence your teams can act on.

Discuss Prism Explore the capabilities

A SCOPED BLUE LOTUS OFFERING

BLUE LOTUS / CAPABILITY WALKTHROUGH↗

PRISM / EVALUATION DESIGN

Evidence, in context.

Test plan

Groundedness

Evaluate

Instruction following

Evaluate

Robustness

Evaluate

Safety boundaries

Evaluate

◈

From observation to action

Document evidence. Assign a priority. Define a retest.

Illustrative test dimensions; bar lengths are visual examples, not results.

ILLUSTRATIVE CAPABILITY WALKTHROUGH

Prism

A benchmark score is one piece of the picture. Useful evaluation asks whether the system is appropriate for the job.

WHAT IT MAKES POSSIBLE

Make the important
details actionable.

Shape the approach around your use case, available evidence, and operating environment.

Use-case evaluation

Define quality criteria, test scenarios, and acceptance thresholds around the actual task and its consequences.

Generative AI testing

Evaluate groundedness, instruction following, harmful outputs, and resistance to adversarial inputs where relevant.

Fairness and robustness

Examine performance across meaningful groups and conditions, subject to appropriate data and context.

Findings that lead somewhere

Connect observed issues to severity, possible mitigations, owners, and retesting priorities.

FROM CAPABILITY TO OUTPUT

Something concrete
to move forward with.

The final scope is agreed at the start. An engagement can include:

Evaluation plan and acceptance criteria
Documented test set and methodology
Findings, limitations, and risk analysis
Remediation priorities and retest plan

THE PATH FORWARD

A considered approach.

Define good behavior

Understand your starting point and agree on the decision this work needs to support.

Test the boundaries

Develop the assessment, structure, or workflow in collaboration with the relevant teams.

Document the evidence

Review the outputs, document limitations, and agree on the next practical steps.

A FEW USEFUL DETAILS

Questions,
answered.

What kinds of systems can be evaluated?

The evaluation can cover traditional models, generative AI applications, retrieval workflows, or agents. Methods depend on the system, available access, and the decision being supported.

Is red teaming included?

Adversarial testing can be included in the agreed scope, with defined targets, permissions, and boundaries. It is one part of a broader evaluation approach.

Does a successful evaluation guarantee safety?

No. Tests provide bounded evidence under stated conditions. The report should explain limitations, unresolved risks, and when reassessment is needed.

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