01
What is an AI process and workflow assessment?
It is a structured review of how work moves from trigger to outcome: who owns each step, which systems are used, what information is required, where exceptions occur, what gets rekeyed or chased and what controls must remain human.
02
Why assess the process before AI automation?
Automation scales the process it is given. If the process has unclear ownership, unnecessary steps or inconsistent data, AI can make those problems faster and harder to see.
03
What does GrowAILab map?
- Trigger: what starts the work.
- People: who decides, approves, performs and receives the output.
- Systems: where the source data and records live.
- Handoffs: where work crosses teams or platforms.
- Exceptions: what breaks the happy path and requires judgement.
- Measurement: time, volume, cost, errors, delay, leakage or risk that can be baselined.
04
How do native AI and existing automation affect the assessment?
The assessment checks whether current software already contains a usable feature, whether configuration would solve the problem, or whether integration is the missing layer. New custom work comes later in the decision order.
05
What decisions should come out of the assessment?
GrowAILab uses five decision states so technology follows the business case rather than the other way around.
The existing software already solves the requirement adequately.
The capability exists but needs setup, rules, permissions, knowledge or process redesign.
The value lies in connecting systems, data and handoffs.
There is a genuine capability gap and the economics justify custom work.
The process, readiness, economics or risk do not justify intervention yet.
06
Is this the same as the AI Ownership Audit?
No. A process assessment can focus on one workflow. The AI Ownership Audit is broader: it can compare multiple opportunities, ownership, governance, readiness and economics to produce a ranked investment roadmap.
QUESTIONS
Common questions
Can you assess one process without auditing the whole company?
Yes. A clearly bounded workflow can be assessed directly when the decision is already narrow enough.
What if the process should be redesigned rather than automated?
That is a valid outcome. Process redesign may be the highest-value recommendation before any AI implementation.
What happens after the assessment?
The next step may be configuration, integration, implementation, an AI Ownership Audit, or no project at all.