There is a lot of daily work that small businesses have to do: answer emails, make reports, update spreadsheets, organize meetings, process invoices, organize documentation, make follow-ups, etc. Each of these tasks might not look complex, but the sum of all those is consuming a lot of time.
The introduction of AI into the process will help to automate routine activities and allow employees to spend more time on judgment, creativity, client interaction, and strategic decisions.
Disclosures: The post was written with the help of AI and needs to be edited before publishing.
Where AI Plays a Part
AI can become an intelligent intermediate layer between business information and workflows. AI can classify the information, extract relevant data, form recommendations, and initiate the necessary actions.
Business Process
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Data/Information
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AI Processing
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Action/Recommendation
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Employee Review
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Business Systems
For instance, an AI can read the customer's email, understand the purpose, extract data, categorize it based on its urgency, form a response, and generate a follow-up task for the employee to review the result.
Automation Does Not Require Full Autonomy
It is unnecessary for business organizations to empower AI systems with total authority over their activities. It is safer to allocate duties based on risks involved.
Tasks involving low risks, such as sorting documents, summarizing meetings and making reminders can be automated.
For medium risks, such as writing answers to customers, reporting and categorizing potential clients, there should be human involvement as well.
For high risks, such as making financial, legal, employment or security decisions, the task needs to be done by authorized humans only.
The main idea is straightforward:
Automate the process, but not the responsibility.
Integration of Business Systems
AI systems become more useful when they integrate current software solutions, such as email, customer relationship management, accounting, stock, scheduling, and document management platforms.
Customer Request
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AI Classification
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CRM Update
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Knowledge Search
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Drafting Response
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Task Assignment
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Human Verification
It decreases manual coordination and provides a better flow in operations.
Start Small and Measure the Results
Organizations should start with the most frequent, structured and low-risk process. Before it gets automated, measure its current state. Then measure how much time gets saved, error rate, response time, reviews, and even business results.
Automation also demands good quality of data. Unreliable, out-of-date or incorrect data can lead to bad results.
Conclusion
AI automation is not about replacing humans with machines. It is about decreasing repetitive coordination so that employees will be able to do more important tasks.
The optimal strategy is to automate carefully, measure results, control everything by humans and increase efficiency step-by-step.
Automate the routine. Keep humans responsible for decisions.For more insights on AI, IoT, automation, and practical business innovation, visit Aperture Venture Studio.
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