Enterprise AI buyer guides

One question. An owner. A starting measure.

Use company records, human judgment and past results to investigate one question. Nodes connects that knowledge in a company-owned graph. Begin with analysis; agree implementation and expanded authority separately.

No company dataset is required for the first conversation.

The shared evaluation

Agree on the work before comparing platforms.

Inspect a question or relevant change, its sources, a local correction and compared options. Ask what the brief delivers, what implementation needs and how later results will be measured.

  1. 01Work

    Which question or workflow has an accountable owner and a useful first measure?

  2. 02Signals

    Which internal records and external developments matter? How often should Nodes check them?

  3. 03Context

    Who validates local relevance, corrects assumptions, and fills information gaps?

  4. 04Authority

    What may each person or agent read, recommend and change? Who approves and handles exceptions?

  5. 05Results

    What are the starting business result, cost and team effort? Over what period will you compare them?

People in the evaluation

Give each participant a clear responsibility.

Name the business, local process, system and exception owners before access. One person may cover several roles. If implementation follows, agree handoffs and the support teams need to use the new process.

Executive or AI sponsor

Choose the business priority.

Choose one business question and why it matters. Bring the accountable domain owner into the evaluation before access begins.

Bring to the reviewA business objective and a starting scope
Process owner

Own the decision and its scope.

Agree the question, task quality, exception limits and authority. Use evidence and total cost to expand, hold or narrow delegated work.

Bring to the reviewOne question, its baseline and decision rights
Local expert

Explain what the records miss.

Explain local practices, past decisions and exceptions. Challenge assumptions and confirm whether an external change applies.

Bring to the reviewLocal requirements and relevant exceptions
Team member

Shape the help people receive.

Inspect sources, flag missing context and practice the agreed process. Explain where guidance fails and which exceptions need the owner.

Bring to the reviewA real task, sample questions, and feedback
IT and security

Set the access and operating boundary.

Agree sources and checking frequency, record visibility, supported models and deployment. Separate permission to read, recommend and act.

Bring to the reviewAn access plan and deployment requirements
Finance

Agree how value will be measured.

Agree the business, cost and effort baseline and comparison period. Compare estimated impact with later results, actual cost and retained team effort.

Bring to the reviewA baseline, comparison period and calculation
A concrete review

Make the proposal inspectable.

  • The agreed workflowQuestion, sources and checking frequency, access and recommendation scope, permitted changes, and approval and exception owners.
  • A worked exampleFinding, source evidence and gaps, local correction, options, assumptions, estimated action and inaction costs, and recommended next steps.
  • The operating planSeparately agreed implementation, integration dependencies, owners, employee guidance, exception handling and required approvals.
  • The measurement planBusiness, cost and effort baseline, quality evidence, exception limits and review period. Compare actual results and costs before the owner expands, holds or narrows scope.
Specialist questions

Go deeper where the decision needs it.

Finance and security can inspect their requirements alongside the shared workflow review.

The first conversation

Bring one question and its owner.

Explore the product without a dataset. A first decision brief returns findings, evidence gaps, options, estimated costs and next steps within 72 hours of complete agreed data access. Setup typically takes 1-2 weeks; implementation is separately scoped and scheduled.

Optional historical validation and earlier guides

Decision Replay is a separate, read-only evaluation of an accepted historical dataset. It has its own eligibility, evidence bar, and written terms. It is optional when historical testing fits your evaluation.

Read the Decision Replay conditions