Business Rules & Test Readiness
The Business Requirements
For the infrastructure policy chapter, the deliverables are:
business rules
machine classification rules
readiness rules
scan / agent posture rules
exception rules
test scenarios
test box requirements
acceptance criteria
demo validation checklist
risk and gap summary
This answers:
What decisions must the system make, and how do we know they are correct?
Automation Readiness
This is where the policy engine lives.
Deliverables become:
process mapping
asset intake model
evidence requirements
input/output definition
policy-as-data files
rule engine prototype
test cases
sample machine records
assessment report output
documentation and handoff notes
This answers:
What must exist before automation is safe, explainable, and testable?
Data & Content Cleanup
This is the quiet third leg. The policy engine still needs clean source material.
For infrastructure work, this means:
inventory review
asset field cleanup
owner field cleanup
machine type taxonomy
zone naming cleanup
duplicate / unknown asset flags
normalized asset records
review-required flags
repeatable update workflow
This answers:
Is the information clean enough to support decisions?
So the three services are not separate silos. They are a progression:
Data & Content Cleanup
↓
Business Rules & Test Readiness
↓
Automation Readiness
Or in plain goblin:
Clean the pile.
Name the rules.
Automate the boring bits.
The infrastructure policy project is a case study
This current “WTF is this box?” work can become a named example under your services.
Something like:
Example Engagement: Infrastructure Readiness & Policy Automation
For teams that need to classify systems, assess onboarding readiness, and decide how infrastructure may be scanned, monitored, or automated.
Possible deliverables:
machine readiness policy
scan / agent posture policy
asset intake template
evidence source matrix
zone-to-policy mapping
exception model
test box matrix
sample assessment output
lightweight policy engine prototype
handoff documentation
That is very coherent. Not scattered. Not scope-creep soup. It is the same creature wearing steel-toed boots.
The better service framing
I’d slightly sharpen the three services like this:
1. Data & Content Cleanup
Make the source material usable.
2. Business Rules & Test Readiness
Make the decisions explicit and testable.
3. Automation Readiness
Make the process repeatable without pretending the machine understands magic.
And the bridge sentence:
I help teams turn messy information, unclear rules, and half-formed workflows into structured, testable, automation-ready systems.That covers Get Smart, recipe cleanup, content audits, demo readiness, infrastructure policy, and this new policy-engine beastie. Same path. Better lantern.
Yes. Policy-engine beastie. Technical term. Very peer-reviewed. 🪲
It means:
A small rules-driven system that eats messy evidence, applies policy, and spits out a traceable decision.
For this case, the beastie would consume:
machine record
owner
role
zone
machine type
evidence sources
risk flags
vendor / legacy / OT constraints
Then apply:
Machine Readiness Policy
Scan / Agent Posture Policy
Zone Mapping
Exception Rules
And produce:
readiness status
scan posture
agent posture
confidence
matched rules
recommendations
exceptions
next step
The important bit is traceability. Not just:
Approved.
But:
Approved with limitations because rules RDY-004 and TCH-004 matched; evidence came from inventory + owner attestation; scan posture is controlled; agent posture is restricted; reassess in 90 days.
That is the beastie’s little paper trail. Tiny claw marks all the way back to the evidence. 🪲