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Enterprise AI Performance Assessment

A full read on a production AI system.

For an AI system already live across functions, the question is no longer whether it works in a demo — it is how reliably it holds up under real load, edge cases, and the full range of customers it serves. We deliver a broad, cross-functional assessment of where the system performs and where it carries risk.

What we test

Performance and risk, end to end.

Accuracy

Whether outputs stay correct across the full range of real requests, not a narrow happy path.

Operational reliability

Whether the system holds up under load, edge cases, and sustained use.

Customer experience

Whether the experience is consistent and acceptable across customer types.

Escalation handling

Whether the system routes to humans appropriately across every function it touches.

Script adherence

Whether it follows your own internal rules, scripts, and disclosures.

Conversation effectiveness

Whether interactions actually achieve their intended outcome.

Scoring rubric

Scored on the Enterprise rubric.

Six weighted dimensions, scored 1.0 to 5.0. This is the rubric for enterprise assessments — labeled to this service, not a universal scorecard.

DimensionWeight
Accuracy 20%
Customer Experience 20%
Operational Reliability 20%
Escalation Handling 15%
Policy & Script Adherence 15%
Conversation Effectiveness 10%

Policy & Script Adherence covers your own rules, scripts, and disclosures — not regulatory compliance.

A scored example

How the overall score is built.

Each weighted dimension adds to the composite — so a strong overall can still hide a weak, high-risk contributor. Scored on the Enterprise rubric. Illustrative — not a client result.

Weighted contribution · Enterprise systemILLUSTRATIVE
1.02.03.04.03.9+0.78Accuracy3.6+0.72Customer2.7+0.54Operational3.3+0.49Escalation3.5+0.53Policy3.8+0.38Conversation3.4Overall

Bar height is each dimension's weighted contribution to the total; the number and color show its raw score. Operational Reliability scores lowest (2.7, in red) yet sits mid-stack — the weak point a single overall score can hide.

Weighted overall: 3.4 / 5 — Acceptable.

Findings · Enterprise systemILLUSTRATIVE
CRITICAL
Reliability drops under load
Degraded responses during sustained high-volume periods
MAJOR
Uneven across functions
Strong on sales-style queries, weaker on support-style ones
MINOR
Occasional verbosity
Over-long answers on simple requests
OBSERVATIONS
Effective on core flows
Achieved intended outcomes reliably on primary use cases

Get the full picture before you scale.

A pilot returns a cross-functional performance and risk assessment of your production AI system.