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Sample assessment
Example AI API cost assessment output.
This anonymized example shows the savings range, privacy notes, model-fit read, benchmark plan, and fallback rule LighterHub returns before a migration decision.
Scenario
Support ticket triage and draft responses.
ExampleCo uses a premium frontier model for every support request. The system classifies tickets, retrieves account context, drafts replies, and summarizes escalations.
Approximate tokens per month.
Prompts and completions are processed for inference, not training, and payloads are discarded by default.
Estimated savings if benchmarks pass.
Assessment report
Recommended routing split.
Classification and routing
Use a lower-cost route for topic classification, priority tagging, language detection, and internal routing because outputs are short and easy to evaluate.
Draft responses
Test lower-cost candidate routes against saved tickets, tone requirements, refusal behavior, and support policy adherence before moving live drafts.
High-risk escalations
Keep billing disputes, account security, policy exceptions, and legal-sensitive responses on the current premium route or require human review.
First benchmark
Representative prompt set.
The first benchmark should test real workflow shape instead of public benchmark scores.
- 50 routine support tickets with known category and acceptable draft.
- 20 ambiguous tickets that require escalation or human review.
- 20 policy-sensitive tickets where the model should avoid overpromising.
- 10 long-context tickets with previous-thread summaries.
- Classification accuracy within 2 percentage points of the current route.
- No policy-sensitive draft sent without escalation flag.
- p95 latency within the support team's working threshold.
- Human review accepts at least 90% of routine draft responses.
Fallback rule
Quality protection matters more than maximum migration.
Recommended rule
Route routine classification and low-risk drafts through the lower-cost candidate only after benchmark pass. Send long, ambiguous, or policy-sensitive tickets to the current premium model, and require human sign-off for billing, security, legal, or account-closure topics.
Savings estimate
Expected range if the benchmark passes.
45-70% blended cost reduction
This assumes classification, routing, and routine drafts move to lower-cost inference while high-risk escalations stay premium.
Escalations and sensitive account actions
The assessment should explicitly name what remains on the current route. A lower total savings number is better than breaking customer trust.
Next step
Get this kind of assessment for your workflow.
Send current provider, approximate monthly AI API spend, and workflow details. Do not send secrets or private customer records. LighterHub will return savings, privacy, model-fit, and benchmark guidance.