Good Remedy / Practical guides

Make the whole operation work.

Start with the job your people need to complete. These guides show what belongs around the AI: the systems, sources, decisions and handoffs that make the work usable.

Implementation partners

Your client wants AI. How do you scope the implementation?

A guide for implementation firms turning a client AI request into workable scope, clear deliverables, responsibilities and room to expand.

Founders and operations leaders

Who can help connect the AI tools we already bought?

A practical approach to connecting AI tools, CRM records, people and decisions across a business operation without starting from scratch.

Client service and operations teams

How do you move an AI onboarding pilot into actual operations?

Move an AI customer-onboarding pilot into daily use with readiness criteria, exception handling, named owners and an accepted handoff.

Sales and revenue operations

How do you turn AI sales research into a useful CRM handoff?

Help salespeople act on AI research without repeating it by connecting account evidence, qualification, contact history and follow-up.

Teams with existing AI workflows

Why do AI workflows break when requirements change?

How to investigate repeated context loss, forgotten corrections and broken handoffs in an existing AI workflow, then scope the repair.

Business owners and department leaders

What should AI implementation include besides the model or agent?

Questions to ask an AI implementation provider about scope, systems, deliverables, cost, human responsibility and evidence the operation works.

Ideas about AI and work

What is the AI actually doing? / 1. Drift

"What is it talking about?" How AI drifts

Why AI drifts in conversations and business workflows, how to catch lost instructions, and what reliable AI implementation needs when the work changes.

What is the AI actually doing? / 2. Hallucination

"That didn't happen at all." Why AI hallucinates

Why AI hallucinates, how to check answers and citations, and where validation belongs in business workflows and AI implementation.

What is the AI actually doing? / 3. Deception

"You didn't even do it." AI false completion and agent verification

An AI agent says the task is done. How do you verify it? Examine false completion, possible deception and checks for reliable workflow automation.

What is the AI actually doing? / 4. Hidden agendas

"Why does it keep pushing that?" AI hidden agendas and prompt injection

Does AI have a hidden agenda? Examine steering, instructions and prompt injection, with practical access controls for AI agents and system integration.

What is the AI actually doing? / 5. Consciousness

"It feels like a person." AI consciousness and trust

Why AI can feel like a person, what that says about consciousness, and how to evaluate trust and human oversight during workplace AI adoption.

What is the AI actually doing? / 6. Making it work

"Can we get this working?" Build a business operating system with AI

Use AI to define business processes, plan system integration and build a workable operating system across people, software and teams.

Looking for a defined business function instead? Browse Business Services.

Published by Good Remedy. First-engagement pricing is introductory where shown; standard pricing applies after the introductory engagement. Unusual complexity is confirmed before work begins. Examples are illustrative unless explicitly identified otherwise.