Wednesday, May 15, 2013

Measuring Levels of Raw Intelligence in Your Processes

As processes become more intelligent, we will likely like to measure the level of intelligence This will give organizations an idea where they are in a continuum in trying to becoming a smarter business over time. This posting will cover the "I" portion "ISAA"

I propose the following five levels of raw intelligence that build on each other:

Handling Expected Business Logic:

The policies/rules of expected traditional conditions and actions typically handled by a preplanned process that leverage sets of orchestrated applications/services. This is typical of traditional ensconced best and standard practices. This is action oriented intelligence that is burned-in base intelligence that can change from time to time.

Recognizing Emerging Events and Patterns:

Processes that can recognize events of opportunity or threat are a step above processes that can just act on normal conditions and expected exceptions. Once an emerging event or pattern of events is recognized, a smarter process can notify, in case where no action logic exists and act with preplanned responses. Quite often exceptions, opportunities and threats can be taken advantage of in a timely fashion to the benefit of a business.

Analyzing Alternatives with Poly Analytics:

Processes that can analyze, either on demand or in line, emerging patterns are a step above processes that can just recognize situations that may require attention and action. Processes that have several analytics built-in to run in real time will have a better chance to intelligently anticipate and determine the next best action for process in-flight. Processes instrumented with multiple (poly) analytics are will be smarter

Machine Assistance/Learning:

Processes that can suggest the right analytics to use in the right combination based on goals that are set at the moment are a step above processes that can just analyze. A process that can suggest actions based upon it's own analysis to process operators and participants will be invaluable for situations were managed agility is required.

Digital Direction:

Processes that can think and act on their own within predetermined constraints are the ultimate in intelligent processes. These constraints could be goal models that are either static or dynamically calculated and assisted by intelligently balanced analytics or heuristics. Constraints can also be boundaries that are set up for non-violation. This kind of process will require great care in setting boundaries.

Net; Net:

There are definite levels of raw intelligence that processes can posses.  We will need learn to utilize various levels of intelligence over the coming years.

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