What Should a Buyer Measure After an AI Consultant Leaves?
Use a 30/60/90 scorecard and an owner-run failure drill to decide whether an AI workflow is ready to continue after the consultant leaves.
Topic collection
AI buying decisions
Scope pilots and choose between consultants, agencies, platforms, and internal teams.
When Is AI Consulting the Wrong Purchase for a Capable Internal Team?
Use a six-factor worksheet to decide when a capable internal team should reject AI implementation consulting and keep ownership inside.
Why Do AI Consulting Engagements Fail to Transfer Capability?
Use five handoff tests to tell whether an AI consulting engagement transferred capability or only delivered a working demo and a folder of documents.
How to Assess Team Capability Before Buying an AI Platform
A filled capability worksheet shows what to assess before an AI platform purchase, when capability work comes first, and the veto condition.
What Evidence Proves an AI Partner Made the Team More Capable?
A capability-transfer scorecard for proving an AI partner left the team able to perform, explain, verify, and improve the work alone.
What Should an AI Training Proposal Include? A Buyer Scorecard
Use this buyer scorecard to test whether an AI training proposal builds role-specific capability, not just attendance, demos, or topic coverage.
How to Calculate Total Cost of Ownership for an AI Platform
Calculate AI platform TCO with a reproducible model for usage, people, controls, support, and exit across platform, internal, and consultant builds.
What Should an AI Pilot Handoff Include?
Use a buyer-side AI pilot handoff packet with eight artifacts, named owners, acceptance tests, a transfer exercise, and a written next decision.
How to Run a Buyer-Side AI Engagement Acceptance Rehearsal
A buyer-run rehearsal tests whether the incoming owner can rerun, change, recover, and accept an AI capability before handover.
What Should Procurement Ask When AI Tutoring Is Hard to Quantify?
A buyer-ready scorecard for turning a qualitative AI tutoring goal into proxies, pilot evidence, privacy checks, and a stop or renew rule.
Why AI Services Proposals Hide Ownership After Handover
A dated red-team matrix shows why AI proposals transfer the build more clearly than the monitoring, training, incident, and exit work.
How to Run a Capability-First AI Consulting Kickoff
A capability-first kickoff leaves a buyer with an owned workflow, a safe first test, a review date, and a handoff the team can repeat without the consultant.
What Evidence Distinguishes AI Tutoring From Implementation?
A matched-task test shows how to tell capability transfer from a working handoff before buying AI tutoring or lightweight implementation.
How to Buy an AI Pilot Without Platform Lock-In
Score an AI pilot by what you can export, price the exit before signing, and protect the handoff when a vendor owns the fast path.
How to Check an AI Vendor's Data Retention Before Buying
Use a 12-row worksheet to verify prompts, files, caches, abuse logs, deletion, and model-improvement use before an AI vendor sees sensitive work.
How to Compare AI Consulting Proposals
A practical, evidence-backed way to normalize AI consulting proposals, expose missing acceptance evidence, and choose what to sign.
How to Set a Budget for an AI Agent
Set an AI agent budget from measured task cost, expected volume, tool limits, and outcome value, then enforce what happens when the cap is reached.
How to Choose an AI Consultant, Agency, or Internal Team
Choose the resourcing model that closes your real gap: a consultant for decisions, an agency for delivery capacity, or an internal team for permanent ownership.
Should I Build or Buy an AI Agent for My Business?
A practical build-versus-buy framework for choosing a packaged AI agent, a custom system, or a hybrid path without hiding the real operating work.