Where generative AI focusses on delivering output based on input, Agentic AI and AI Agents focus on completing tasks, interacting and making decisions. It is exciting to see how fast AI technologies are developing but the key to succes is finding the right balance between autonomic AI and human intervention.

TechRebels developed a 9 step service where we will build AI Agents customized for your situation to support your operations. We give you hands-on experience with AI Agent for Operations and run it for you. We help you to succesfully implement this in your operations and optimize it for your business. The AI Agent for Operations service takes you by the hand and creates the right starting point for you to get on an ever lasting AI Innovation journey.

STRATEGIZE AI

First we need to get on the same page in terms of understanding AI concepts and technologies. Most fundamentals on AI are not about the technology but about the human interaction. For operations human interactions are needed to make the end to end processes work and this is where inefficiencies occur. Agentic AI is capable of fulfilling tasks that humans normally do, examples are master data search, monitoring process controls, making decisions and creating a sales order in ERP. AI Agents go one step further by autonomously managing a process by setting certain goals and conditions. Looking into your operations, we find that ERP is demanding in terms of accuracy, time and consistency and this is where human intervention is needed to make it work. Replacing these with AI Agents creates a enormous business case for operations in terms of efficiency (ie saving manual hours), effectivity (ie first time right and decreased lead times) and customer value (ie improved experience).

DEVELOP & INTEGRATE

Building AI Agent for Operations means in practice bringing together a number of AI building blocks, customizing this according to your situation and specific requirements, and integrate it in your IT landscape to make them work. Creating succes is about selecting the right use case and involving process experts, we focus on the specific ERP inefficiencies such as the sales order process, the purchase order process and finance processes. ERP sets the requirements of the data model, you set the business rules and controls and AI will do the rest, 24/7.

OPERATE & OPTIMIZE

Switching on AI Agents and hoping for the best leads to resistance in the business and project failures. Making AI Agents work in practise is about orchestration of process execution, process controls and continuous evaluation. Similar like today's practise, this is managing your team, managing individuals and managing supporting tools and systems. AI Agents should be seen as replacements of team member activities. We run the AI Agents for you so no concerns about security, data privacy and scalability. Once you experience AI Agents for Operations you will want to tune it, change it and extend it, further optimising the underlying processes. This is best organised by the creation of a AI Roadmap which prioritises, aligns and plans your next AI Agents for Operations.

AIOTIC

AIOTIC is the name for the AI Agent we have developed for Sales Order Entry. It is a perfect example where manual workload can be eliminated by AI for organisations that have various ways to receive orders from customers. Orders coming in via emails, pdfs or phone calls are labour intensive because in most case the data is not complete, consistent or accurate. AIOTIC receives all these orders in a central location, allocates it for data capturing and data interpretation, maps data elements to the ERP sales order data model and solves any potential data issues by quering your data and systems. When AI is ready processing all inputs, it creates the sales order for you, with or without a human approval.