Companies today are grappling with how to handle growing volumes of customer enquiries and internal requests without expanding their teams. This is precisely where autonomous digital assistants come in and take over routine communication and information-handling tasks. At Enehano, a dedicated AI team focuses on this domain, deploying agentic technologies directly within the day-to-day operations of our clients.
In this article, you will learn:
- why Enehano established a dedicated AI team and how it works with clients
- in which situations agentic technologies help companies in their daily operations
- which specific projects the team applies agentic approaches to in practice service
Why it makes sense to talk about agentic technologies in operations
AI agents help companies at the moment when operations start hitting their limits. This typically involves a high volume of enquiries, working with information across multiple systems, or the need to respond quickly and consistently.
Enehano’s AI team addresses these situations directly within client projects. The insights gained are then applied when designing further AI agent deployments in live operations. We developed this approach as part of our AI Automation practice.
Without clean and accessible data, AI is nothing but an expensive generator of nonsense. You need to be clear about where your "source of truth" sits and what sources the agent draws its information from.
AI Competence Lead
Why Enehano established a dedicated AI competence
The dedicated AI team was created so that it could focus long-term on what companies actually deal with in their day-to-day operations. The people developing this competence track how client needs evolve and adjust the integration of AI agents into daily workflows accordingly. “Companies today perceive AI agents as a standard part of their everyday operations,” says Roman Kočvara, AI Competence Lead at Enehano.
Who makes up Enehano's AI team
The AI agent projects are driven by people with diverse roles and experience. Team members combine backgrounds in Salesforce administration, analytics, data work, and digital solution design. Salesforce Agentforce certification is a given.
Thanks to this expertise, we are able to integrate AI agents into clients’ real-world processes in a meaningful way, with a clear and tangible benefit for their operations.
AI in the daily workings of companies
The team’s project experience points to a consistent pattern across industries. AI agents help take over routine tasks and free up people to focus on more complex situations and direct customer interactions.
Interview with Roman Kočvara
Our AI Competence Lead, Roman, describes below where companies should start with AI agents and what needs to be in place for a solution to deliver value over the long term.
How can a company tell it is ready to deploy AI in its everyday operations?
A company is ready at the point when its people can no longer cope with the volume of routine tasks and its processes are stable enough to be described by rules. The key is not owning the latest IT tools, but having a clearly defined operational “bottleneck” that is holding back growth.
Example: If you have specialists spending 40% of their time copying data or answering the same questions over and over, you have the ideal conditions for agentic technologies.
Which processes make the most sense to automate first?
Start where there is the highest volume and the lowest added value of human effort — typically customer service, looking up information in internal guidelines, or basic technical support. Based on our experience, an AI Agent can immediately handle up to 93% of common enquiries such as “where is my order” or “how do I submit a warranty claim for my bike”, freeing up senior staff to focus on cases that genuinely require empathy and complex decision-making. The goal is not to replace people, but to rid them of robotic work.
What needs to be in place in terms of data and processes for AI to make sense in the long run?
Without clean and accessible data, AI is nothing but an expensive generator of nonsense. You need to be clear about where your Single Source of Truth lies and what sources the agent draws its information from.
Equally important is defining the boundaries at which the agent hands over to a human. Processes must not be a black box. There must be clear logic governing how the AI makes decisions, along with a mechanism for continuously reviewing and refining its outputs based on real-world operational experience.
What role does team accountability play in operating AI solutions?
AI is not a “set it and forget it” type of project. Someone must bear long-term operational responsibility for the delivered solution — monitoring the accuracy of responses, ensuring security, and adapting to a changing environment over time. Our work therefore does not end with the delivery of code. We help companies establish the governance needed for Agentforce to deliver lasting results.
Projects we are working on
Accell Group
The Accell Group is one of Europe’s largest manufacturers of bicycles and e-bikes. We helped deploy AI agents here to support both customers and the staff of their client centre.
An internal agent assists partners in resolving warranty claims based on historical cases. A customer-facing agent simultaneously helps visitors across 16 websites serving 9 different bicycle brands with product selection and catalogue navigation. The agent also communicates in four languages, enabling consistent support across European markets.
“This confirms that the agentic approach works even in environments with multiple brands and heterogeneous data,” adds David Lorenc, our Senior Business Analyst.
WeFabricate
WeFabricate is a manufacturer of heat pumps. We helped deploy AI agents capable of handling a high volume of service enquiries. One agent communicates with customers on the website, while a second supports internal teams in quickly retrieving the right information. As a result, customer centre staff can concentrate on more complex cases and personal customer interactions.
Beddenbriljant
At Beddenbriljant, a manufacturer of bespoke luxury beds, an AI agent helps manage rapid e-commerce growth. It handles routine enquiries, allowing the support team to focus on individual customer requests.
Interested in discussing AI agent deployment options for your company?
We will review your processes and show you where autonomous agents can take over routine tasks and free your people up for more important work.
