Spark GenAI Agent Development​
Every process can be automated — just take the first step on your automation journey.​
Do you have a business process or tedious task you'd like to automate? You're in the right place. GenAI agents unlock next-level automation possibilities, delivering an exceptional ROI (Return on Investment) compared to traditional methods. Instead of attempting to create a 'one-size-fits-all' solution, task-specific GenAI agents deliver reliable and targeted results. And we’re here to help you make that happen.
All the Buzz, but How Does it Work in Practice?
For example: Automatic financial processes can be highly effective
How to get started – Case Sales Team Automation:​
It all starts with data architecture. The data must be accessible and relatively intact; otherwise, the first step is to get the fundamentals in order. To maximize the effectiveness of GenAI agents, they need to be as close to the data as possible. Fortunately, Databricks provides an ecosystem perfectly suited for this purpose. With Databricks Mosaic AI, LLM models can be seamlessly applied to individual agents, enabling the creation of tailored guardrails and constraints. Additionally, monitoring works almost out-of-the-box, making the solutions both measurable and reliable.​
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By leveraging Databricks as the platform, we can build a robust agent ecosystem tailored to meet your specific needs and requirements.
Understand the Problem – Break it Down into Tasks that Can be Automated.​
The first step is to understand the problem and identify the value that GenAI agents need to deliver through automation. This also involves assessing potential risks and considering critical factors. Not everything can be automated, and even when it can, it might result in a costly operation. In the context of a Sales Team, it could look like this:
Building Scalable Solution
To move from PoC stages to production, solutions must be as robust and scalable as possible to accommodate evolving needs. This is an iterative process where quality continuously improves. For this reason, the solution is built modularly, allowing components to be easily swapped out — for example, replacing an LLM model. Some models excel at coding, while others are better suited for generating high-quality, fact-based text.​
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Additionally, the solution's structure matters — whether to use multiple agents or a single agent per task. Here, the golden rule applies: simplicity drives effectiveness. Optimizing agents for dedicated tasks ensures consistent quality; otherwise, their performance can degrade quickly.​
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Here’s an example of a solution architecture featuring multiple agents tailored to the needs of sales and marketing teams. This modular, task-specific approach ensures scalability, flexibility, and consistently high performance.
Act Now — Stay Ahead of the Curve
Now that we’ve outlined the process at a high level, it’s time to move from idea to action. GenAI agents can revolutionize virtually any business process — the only limit is your imagination. By automating repetitive and mundane tasks, you free up time and unlock new opportunities to create value through automation.​
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At Ikidata, we’re at the forefront of GenAI agent innovation, helping businesses integrate them seamlessly into their operations. Don’t wait for others to catch up — secure your competitive edge today and transform your data from a cost center into a source of business value with GenAI automation!