You’re probably already feeling how AI is fitting into our software and business workflows: developing with it, collaborating documents, and experiments for marketing and communications at businesses everywhere.
However, there’s a clear distinction in using AI and leveraging AI effectively.
Real value doesn’t come simply from giving the AI a bigger task list, but in finding the best work and process to give the AI, while retaining full human oversight.
Workflows Should Incorporate AI
The simplest approach is to see an AI as a task replacing agent:
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Task AI Output
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But if you see an AI as only one agent in your larger workflow, things become more practical:
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Task
AI Assistance
Human Review
Refinement
Final Output
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This places responsibility firmly on human shoulders for control of the process context, content validation, and decisions for the final output of AI-generated content.
Some tasks you can involve AI in:
Initial drafts
Brainstorming ideas
Summarizing a topic
Technical documentation support
Generic content tasks
Exploring solution possibilities
Organizing data
Use it according to the requirement of the task or process that you want to implement it for and accuracy needs.
You Still Need a Human Review!
AI content may need adjustment. Depending on the use case, it may need to be checked for accuracy, context, or relevance and so on.
Specifically if the output is for customer support, advertising, or important reports - a human element in review is critical.
Need Organizational Standards for AI
As AI gets closer integrated, companies should consider setting some guidelines to use the tools most effectively and securely.
You can ask questions like:
Which tasks can employees currently be supported by AI on?
Which information is sensitive and should never be input into AI tools?
How much of our AI-generated content should be reviewed, and by whom?
Who is responsible for finalizing and taking the AI-generated information from output to final deliverable?
These aren't just questions of tech; they reach into the very core of our communication processes, work flow design, privacy regulations, and internal governance.
Businesses and organizations are pushing for things beyond software development for their GenAI needs
Although much of the initial hype is driven by programmer productivity but many things are moving beyond this already. Communication and content workflows are some of the areas businesses are looking to involve AI in. Take marketing for instance:
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Ideas
Draft Content
Review
Adapt to audience needs
Publish
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All while retaining a layer of control of content creation.
AI and Communications
One very fascinating area of growth is in the relationship between generative AI and business communications-and organizations communicate in more ways than most people realize: websites, emails, customer interactions and supports, internal company platforms, advertising, etc. It will likely have a profound impact across all these areas as it helps teams with the communication and content aspects within workflows. While AI might seem to automate parts of this, it doesn't necessarily mean to remove people, but instead provide a tool that can help add another layer to an already established workflow.
At CommConAI, we analyze how AI intersects with AI and communication; the ongoing impact of innovations in AI on modern work processes.
You can find out more here: https://commconai.com/
What does the future hold for GenAI?
As more businesses gain hands-on experience, their needs are moving from "can we do this with AI" to "how can we optimize workflows with AI".
That transition is significant. It means organizations aren't looking to include AI for it's own sake; they are aiming for truly helpful augmentation that is accompanied by an appropriate level of human oversight.
In summary...
Generative AI is becoming an essential part of various modern work flows, but merely acquiring the software ortool does not guarantee a successful deployment. A successful adoption is about combining:
The unique capabilities of AI + insightful work flows + human expertise
These three element will transform generative AI from another experimental piece of technology to a crucial part of how teams create, communicate and overall-work.
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