Custom AI Agents We Built Around Your Business Goals
Standing among the prominent AI agent creation companies for small and medium businesses and large industry giants, we craft smart AI agents for different purposes. Whether you need multi-agent systems or a rule-specific agent, our custom AI agents solutions development is designed for every business use case, target audience, and complexity level.
#1Multi-Agent Systems
Different AI agents perform specialized roles in a multi-agent systems(MAS). In one system, an agent may collect information, another may analyze it, and yet another may act on it. These MASs are more flexible when implementing a layered workflow that spans multiple departments. For example, order fulfillment in a system designed to interlink the sales, inventory, and shipping departments may require multi-agent systems.
#2Task-Specific AI Agents
Task-specific AI agents are designed to accomplish a specific task more rapidly than a generalized system. These AI agents may perform very well at generating sales reports, evaluating resumes, or responding to customer tickets. Multi-agent systems may be more complex than task-specific structures, and as enterprises grow, many may begin to utilize task-specific agents.
#3Rule-Based Agents
Rule-based agents create a rigid structure to perform a task. These AI agents may utilize an “if/then” approach and, because of their rigid structure, are more predictable. A more predictable structure is preferable when an enterprise operates within highly regulated industries. These agents may be used for compliance checks or to route customer tickets.
#4Model-Based Reflex Agents
This kind of AI agent solution maintains an internal representation of its environment. The model-based reflex agents are more complex than simple reflex agents, which carry out tasks based solely on current external inputs. These agents may be utilized when responding to customer requests that may require a more complex understanding of that customer’s history and the support that they have previously received.
#5Utility-Based Agents
If you need AI agents to perform multiple tasks, utility-based agents are the most optimal choice. They determine which option provides the most value to the business. Utility-based agents consider goals like cost-effectiveness, efficiency, and the potential risk and utilization of resources. They are the most appropriate choice for planning, logistics, scheduling, and optimizing the entire enterprise.
#6Learning Agents
Would you like to have an AI agent that responds more intelligently as your business expands? The learning agents’ ability to analyze and respond to new user feedback and interaction data allows these agents to respond more intelligently. This enables organizations to improve automation, the customer experience, and corporate decision-making without having to redesign the system completely.
#7Goal-Based Agents
We create goal-based agents that analyze various pathways to complete a task in order to reach a predetermined outcome. As a result, these agents are ideal for automation of business processes, workflow orchestration, and complex business planning and scheduling.
#8Domain-Specific AI Agents
To meet the distinct business regulations, processes, terminologies, and needs in various sectors, we create domain-specific AI agents. By providing industry-based knowledge to agents, these AI agents provide support to the healthcare, finance, insurance, retail, and logistics sectors. This helps improve accuracy, compliance, and performance at work.
#9AI Voice Agents
75way focuses on developing voice AI agents that automate conversations with customers and employees. Our voice AI agents can carry out both inbound and outbound calls, provide answers to queries, fulfill requests, qualify potential customers, and schedule appointments all through voice interactions that are human-like and will be carried out 24/7.
