The Most Expensive Mistake Is Automating the Wrong Thing First
Most automation projects do not fail because the technology was wrong. They fail because nobody mapped how the work actually runs before building, only how the org chart says it runs.
So a team spends four months automating a process that saves $10,000 a year, while the $200,000 leak two steps upstream stays exactly where it was. Or they automate a process that still changes depending on who is doing it, and spend the next year maintaining exceptions.
Before anything is built, someone has to answer three questions honestly: where does the value actually leak, what should be automated, and what should deliberately stay human.
A Blueprint You Could Hand to Any Competent Team
The Process Audit & Solution Blueprint is a fixed-scope diagnostic of one important process. It ends in an implementation-ready plan: what to build, in what order, at what cost, with which assumptions and risks stated on the page.
It is deliberately useful whether MIS builds the solution or somebody else does. A blueprint that only works if you hire us is a sales document, not an audit.
Rules, Interpretation, and Judgment, Decided Step by Step
Every step in a process is one of three things, and each wants a different kind of solution:
- Rules: calculations, validation, permissions, routing, transactions. These want dependable software, where behaviour is predictable and testable.
- Interpretation: reading documents and email, classification, retrieval, natural language. This is where AI earns its place.
- Judgment: exceptions, approvals, negotiation, sensitive communication, consequential decisions. This should usually stay with a person, supported rather than replaced.
Most real processes are a mixture. The audit goes through your process step by step and says which is which, which is the difference between a system that holds up and one that needs babysitting.
Eight Deliverables, One Defined Process
- A current-state map of how the work actually happens today, including the exceptions
- Bottlenecks, duplicated work, and control risks, each located at a specific step
- Automation suitability step by step: deterministic, AI-assisted, human, or hybrid
- Data, integration, and access requirements, the things that quietly decide feasibility
- A future-state workflow and high-level architecture
- Recommended phases and priorities, with assumptions and risks stated explicitly
- An expected value model with every assumption labelled, so you can disagree with it
- Implementation scope, budget range, and the decision points along the way
$5,000, Fixed, for One Defined Process
A fixed fee for a fixed scope. Two to four weeks, depending on how many people we need to talk to.
The deliverable is yours to keep and to share: with your team, your board, or another vendor.
Operations With Enough Volume to Justify Getting It Right
This is worth doing when a process consumes real hours every week, when more than one system or team touches it, and when getting the sequence wrong would be expensive.
It is not worth doing if you already know exactly what you want built and can describe it. In that case, tell us the process and we will quote the build.
