See what the data proves, what still needs testing, and which fix should come first — without assuming that cheaper automatically means better.
Audit depth is agreed before payment. Missing telemetry reduces the certainty of findings; it does not get replaced with confident guesses.
A 20-minute call confirms spend band, workflow count, provider mix, available telemetry, exclusions, and the decision you need to make.
You receive a clear list of required fields, prohibited data, audit limits, transfer method, and deliverables. An NDA is available before any files are shared.
Deterministic tools calculate usage, cost, anomalies, correlations, and evidence tables. Raw files are not pasted into consumer AI chats.
You receive a concise report, recorded walkthrough, prioritized actions, quality-preservation tests, and an optional measurement sheet.
Provider billing data can reveal concentration and anomalies. Workflow-level conclusions require n8n executions, trace identifiers, retry/error fields, and enough sanitized context to connect cost to behavior.
A provider-level view for one OpenAI or Anthropic account when execution telemetry is unavailable or unnecessary.
A deeper audit that connects provider spend to agreed n8n workflows and execution patterns.
Bounded implementation for approved findings, with client-owned credentials and client-controlled production rollout.
Not a general subscription. Offered selectively after an audit when stable telemetry and frequent workflow change create recurring decisions.
The current working method groups cost questions into four areas. Patterns are retained only when real audits show that they produce useful, testable decisions.
A cost becomes avoidable only when the business requirement can still be met at a lower expected cost. Coldcache separates what is measured from what is plausible and what still needs a controlled test.
A measured retry rate, confirmed duplicate execution, calculated cache ratio, or other result that follows directly from supplied records.
A pattern with meaningful evidence but missing business context, such as unusually large inputs or concentrated use of an expensive model.
A conclusion that depends on task requirements, representative outputs, client confirmation, or a controlled comparison.
An audit does not require production credentials. Raw files are processed locally by default, and external processors are disclosed before they receive client information.
Raw client files are stored in a dedicated folder on a full-disk-encrypted device and are not intentionally placed in consumer cloud-sync folders by default.
Raw files are not uploaded to consumer AI chat products. LLM assistance, when useful, is limited to redacted metrics or de-identified summaries through a disclosed arrangement.
Raw files under Coldcache’s control are deleted within seven calendar days after final delivery unless an earlier or different period is agreed in writing.
A Metadata Cost Scan uses provider exports to show model mix, tokens, cache activity, cost distribution, and broad anomalies. It cannot reliably identify the n8n workflow or node that caused the cost. An Execution-Level Cost Audit adds n8n executions, trace identifiers, retry/error fields, timestamps, and sanitized configuration so spend can be connected to workflow behavior where the records correlate.
Not by default. Coldcache asks for the minimum fields required for the agreed audit. Credentials, personal data, unnecessary prompt content, customer messages, and regulated records should not be sent. A narrow, sanitized prompt example may be requested only when it is necessary to validate a specific finding and is separately agreed.
See the full data-handling policy.
Launch support covers common OpenAI and Anthropic API usage for n8n workflows, including supported text or reasoning models, embeddings, caching, batch processing, and reported tool or service-tier charges when the export exposes them. Image, audio, realtime, fine-tuning, reseller, and unusual cloud-hosted setups are separately scoped.
There is no percentage guarantee. Opportunities are presented as estimates or ranges until a change is implemented and measured. A result is called verified only when before-and-after evidence shows lower cost while the agreed business outcome remains acceptable.
Any recommendation that can change model behavior, context, batching, RAG, workflow structure, or agent limits receives a test plan. Representative cases are compared on correctness, formatting, latency, reliability, and cost. A cheaper option is rejected if it fails the client-defined acceptance threshold.
The engagement can be reduced to a Metadata Cost Scan, a temporary low-risk telemetry plan can be discussed, or the deeper audit can be declined. Coldcache will not sell a workflow-level conclusion when the evidence supports only a provider-level observation.
Coldcache does not currently accept regulated or safety-critical workflows, projects that require live credential custody, enterprise procurement, or work where personal data cannot be removed. EU engagements involving personal data are deferred until a reusable data-processing agreement and documented process are ready.
No. Cost Regression Monitor is a selective follow-on trial for clients with stable request-level telemetry and enough recurring workflow change to justify ongoing review. Many smaller or stable workflows may need only a re-audit after a material change.
The best founding-audit candidates have meaningful OpenAI or Anthropic spend, non-trivial n8n workflows, usable sanitized telemetry, and willingness to test at least one recommendation.