Token spend is not a business metric
Cost must be attached to a customer workflow, tenant, endpoint, model route, and successful outcome.
Specialist engineering audit · fixed scope
Know what every AI workflow costs—and how it fails.
Measure model usage by endpoint and workflow, then review routing, caching, latency, retries, rate limits, fallbacks, observability, and evaluation coverage.
No mandatory callSenior-reviewedDeveloper-ready output
3–5 daysTypical review
Named seniorAccountable owner
EvidenceDeveloper-ready
AccessRead-only first
The decision before delivery
Generic reviews miss the risk inside the workflow.
A specialist audit follows the real domain and production paths instead of applying a generic checklist.
Cheaper can be less reliable
Caching, smaller models, and batching need quality, freshness, latency, and failure acceptance criteria.
Retries can multiply cost and harm
Unbounded retries, agent loops, rate failures, and tool timeouts create both spend and operational risk.
Exact output
A specialist report with a bounded next step.
Findings explain exposure, evidence, remediation, acceptance criteria, dependencies, and effort.
Cost-per-workflow model
Model, tokens, tools, retrieval, storage, infrastructure, retries, and human review by workflow.
Model-routing analysis
Where smaller, larger, local, or specialist models are justified.
Caching and batching plan
Prompt, semantic, retrieval, and batch opportunities with invalidation rules.
Reliability findings
Timeouts, rate limits, retries, circuit breakers, fallbacks, and degradation behavior.
Observability design
Tenant, endpoint, model, cost, latency, quality, and failure evidence.
Savings and implementation roadmap
Expected impact, risk, acceptance criteria, and sequencing.
How the work happens
Go deeper where the business can actually fail.
The method adapts to the audit domain while preserving the same evidence and accountability standard.
01Build the unit economics baseline
Tie usage and infrastructure to workflows, tenants, endpoints, and successful outcomes.
PASS 0102Trace routing and context
Review model selection, prompt size, retrieval, tools, structured output, and human review.
PASS 0203Test failure behavior
Inspect limits, timeouts, retries, loops, fallbacks, and degraded operation.
PASS 0304Model responsible savings
Estimate savings only where quality and reliability acceptance can be tested.
PASS 0405Deliver the control plan
Prioritize changes and define the dashboards and evaluations that keep savings real.
FINALAn honest boundary
Know when this is—and is not—the right product.
Qualification protects both teams and prevents a compact review from being sold as certification, incident response, or an enterprise programme.
RIGHT FIT
Use this audit when the specialist risk is material.
- AI spend is growing faster than usage
- Latency or rate limits affect customers
- Agents or tools fail unpredictably
- You need unit economics before scaling
NOT THIS PRODUCT
Use a different qualified path when the need exceeds scope.
- A generic cloud-cost review with no AI workflows
- Early prototype with no representative use
- Model research detached from a product outcome
- A promise to cut cost without quality evidence
Code, access, and accountability
Your code stays yours.
Read-only first
Access starts at the minimum level required to establish evidence.
NDA available
Confidentiality can be agreed before repository access is granted.
Access removed
External access is revoked at delivery or at the agreed audit-window end.
Named senior review
Automation collects evidence; a senior engineer owns and signs the decision.
Connected resources
Use the smallest useful next step.
Free tools reduce uncertainty before purchase. Service and lane links explain what happens when implementation is required.
Straight answers
Before access is granted.
Is a call required?
No. The direct audit path is designed to begin from a short intake, approved access, and checkout. A conversation remains available as a separate option.
Will Zenveus make changes during the review?
Not unless the product explicitly includes a repair sprint. Reviews begin read-only and separate findings from implementation.
Can our own team use the report?
Yes. Findings are written with evidence, remediation, acceptance criteria, and effort so another qualified team can implement them.
Is this certification or a penetration test?
No. Engineering readiness can prepare a product for specialist review, but it does not replace legal advice, certification, or a formal penetration test.
Start without a meeting
Send the minimum we need to begin.
This review form is ready for the secure checkout and repository-access integration. The page remains a draft until those commercial systems are connected.
The next decision
Make the specialist risk visible and fixable.
Start from evidence, receive a written decision, and choose implementation only after the scope is clear.