Create Your Company
Create Your Company
Part 1: Creating AI Employees Part 2: Assigning Tasks to Employees Part 3: Independent Employee Views Part 4: Sharing & Merging Conversations Part 5: Continuing Existing Work Part 6: Senior Review of Junior Work Part 7: AI Employee Group Meetings Part 9: Autonomous AI Employees
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Create Your Company
Part 8 of 9

How Senior AI Employees Collaborate to Solve Business Problems Using SIMI

Different AI employees can bring different perspectives to the same business challenge.

In Part 8 of the Veridata demonstration, we create a senior leadership group containing the COO, CEO, and Head of Data Operations.

We then give the three employees a common operational objective and allow them to explore their ideas together.

Watch the video above to see Part 8 of the Veridata AI company demonstration in action.

Creating the Veridata Leadership Group

We click New.

We name the group:

Veridata Leadership Group

We then add:

We click Create.

The leadership group is now ready.

Setting the Leadership Objective

We ask the three senior employees to develop ideas for increasing:

Speed, efficiency, and quality of operations without increasing costs.

All three employees therefore work toward the same objective.

However, each employee approaches the problem from its own role.

Reviewing Individual Contributions

Each agent employee comes up with its own unique contributions.

The COO may approach the challenge from an operational perspective.

The CEO can consider the broader company objective.

The Head of Data Operations can focus on information and data-related considerations.

These individual contributions give us several different approaches to the same problem.

Using Discuss

After reviewing the individual responses, we click Discuss.

This allows the employees to discuss ways to increase speed, efficiency, and quality.

The purpose is to move beyond three isolated answers.

The employees can now explore the ideas together.

Creating a Broader and Richer Output

As the discussion continues, employees can respond to ideas raised by the other participants.

They can expand on recommendations, consider alternative approaches, and build upon the available information.

The final output brings together well-researched answers and thoughtful analysis from all three employees.

The combined perspective produces a broader and richer response.

The Veridata Leadership Group discussing ways to improve speed, efficiency, and quality

The Veridata Leadership Group's combined discussion, comparing pre-validation, auto-dedup, and smart templates.

Applying AI Collaboration to Business Work

This workflow demonstrates how AI collaboration can be structured around a specific business objective.

Instead of asking one AI employee to solve a problem alone, several senior employees can contribute according to their roles.

The group can then discuss the available ideas.

Combining Different Roles

The value of this workflow comes partly from the different roles represented in the group.

A CEO, COO, and Head of Data Operations do not necessarily look at an operational problem in exactly the same way.

Bringing them together gives Veridata several perspectives within one workflow.

From Independent Ideas to Shared Analysis

There are two stages in this workflow.

First, each employee provides its own contribution.

Second, the employees discuss the ideas together.

This allows Veridata to compare individual thinking before producing a more comprehensive combined result.

Conclusion

Part 8 demonstrates how senior AI employees can collaborate on an important business challenge.

We create the Veridata Leadership Group with the COO, CEO, and Head of Data Operations.

We ask them to improve speed, efficiency, and quality without increasing costs.

Each employee provides its own contribution, and we then use Discuss to allow them to explore the ideas together.

The final output combines their perspectives into a broader and richer response.

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