Audit scope
- Before
- The company has ideas but no ranked first workflow.
- After
- Leadership sees value, feasibility, risk, and the recommended next paid step.
AI PRICING
AI consulting cost should follow the operating risk and workflow complexity. A focused audit can start in the low thousands. A blueprint costs more because it aligns teams, vendors, data, and governance. Implementation and managed support cost more because they launch and maintain real workflows.
USE THIS WHEN
These criteria help qualify whether the next move should be a score, audit, blueprint, sprint, or a direct no-fit answer.
PRICE AND TIMELINE
The first paid step should be large enough to answer the real workflow question and small enough to avoid a tool-first overbuild.
SAMPLE WORKFLOWS
Vague AI interest becomes useful when it is tied to a recurring job, an owner, a review standard, and a measurable before state.
COMPARE THE OPTIONS
Low price is not a win if the engagement skips privacy review, user adoption, source control, human approval, or post-launch support.
RELATED AI PATHS
Use these role, function, industry, and service pages to move from a general AI question to the specific workflow in front of you.
RELATED INTELLIGENCE
Use these pages to move from a commercial question into workflow selection, cost, readiness, and implementation detail.
A practical explanation of pricing by scope and risk.
How pricing models change incentives and scope control.
How to avoid overstating value before implementation.
FAQ
Human Renaissance publishes ranges: audits start at $4,500-$7,500, blueprints at $15,000-$25,000, implementation sprints at $35,000-$90,000+, and monthly support at $3,000-$25,000 depending on scope.
Implementation includes workflow design, build or configuration, permissions, review rules, training, rollout, measurement, and support planning.
Use the score when the first workflow is unclear. Use a paid audit when leadership is ready to inspect workflows, risks, and next steps with an operator.
Complexity rises with more systems, sensitive data, customer-facing output, integration needs, compliance risk, user groups, and post-launch support requirements.
Use a triage call to decide whether this should be an audit, blueprint, sprint, or focused workflow build.
Price the first AI step