No, our agents do not sound like robots. The technology used by Norfolk AI, combined with the advanced training of our AI Agents, enables natural and fluid conversations, ensuring a humanized and efficient interaction. It is also important to remember that AI Agents are connected with very powerful resources including leading LLMs, AI voice platforms, and of course, your custom knowledge base -- and one or more prompts developed by our prompt engineering and GTM folks.

While Marcela and other agents do not sound or behave like voice portals or robots, Agentic AI technology allows for a very fluid conversation, always based on a mission given to the agent so they do not stir off course.

You will find out as you interface and engage with Agentic AI like what we do at Norfolk that talking to conversational agents is better than voice portals driven by machine language, and different than talking to humans. There is no doubt that you will in a few seconds feel that you are not talking to a human, however, as it happens with other forms of AI, you will find value and will benefit from the conversation.

Moreover we here at Norfolk AI follow principles defined as Super Conversations, which were gathered into a system by one of our founders. At the core of Super Conversations is the idea of showing respect for the caller, be them a lead or a customer, show that you understand what they need, the level of urgency, be aware of the call sentiment (positive or negative), and always provide feedback that the agent understands and wants to help. And of course use all resources available to provide meaningful answers. Super conversations also drive questions which many times are sales oriented, and the agents are trained to be flexible and respectful of the callers goals and timing for the call.

Our agents can record and transcribe all calls depending on your preference. These transcriptions are summarized and provided to you to not only get the data points associated with the call, that correspond to fields in your CRM, but also much more in the form of conversation summaries.

Our experience is that there is tremendous value in these summaries and often are the perfect tool to debrief a human who will be meeting with the lead or client as scheduled by the AI agent.

So, no, we do not sound like a robot from Lost in Space or Star Wars (but just as smart). We do our best to sound and behave as trained according to your guidance. Our agents evolve quickly and you can expect more as agentic artificial intelligence moves forward.

Marcela and other AI agents keep an eye on conversations to see if a caller wants to talk to a human. During business hours, calls are transferred to a human. Outside business hours or if there's an issue, a message is sent to your company and an email to the caller. Norfolk AI also offers advanced technology that lets AI agents transfer calls to each other based on their expertise, allowing them to collaborate effectively. This feature isn't part of the basic options but can be customized with our team.

Yes. Our AI Agents integrate with the leading CRMs on the market, including HubSpot, Salesforce, Pipedrive, and Go High Level. And if we don't yet support the CRM your company uses, we can build the integration to meet your needs.

Our AI engineering team is well versed in connecting not only to CRMs but also databases from which we can both pull information and write information to custom defined fields. This advanced functionality is not part of our basic packages but is possible after a conversation with our business development team.

Our AI Agents create authentic conversations by seamlessly adopting your brand's unique voice and communication style. Through sophisticated natural language processing and sentiment analysis, these agents adapt their tone, vocabulary, and communication patterns to match your established brand persona. This personalization extends beyond simple template responses to create genuinely adaptive interactions based on the context of each conversation.

These agents leverage your provided brand guidelines and customer data through custom knowledge bases built specifically for your business. The system continuously learns from each interaction, refining its understanding of your products, services, and customer preferences over time. This evolutionary learning creates increasingly personalized experiences that strengthen customer relationships with each engagement.

By integrating with your existing CRM and databases, combined with advanced LLM technology, our agents deliver natural, contextual responses that feel genuine to your customers. They can access basic customer information in real-time, providing a responsive service experience that maintains consistency across touchpoints.

While our standard package offers powerful single-agent functionality, several advanced capabilities require our premium tier solutions. These enhanced features include:

• Agent-to-agent transfers and multi-agent coordination
• Leveraging past conversation history for context-aware interactions
• Advanced customer journey tracking and personalization

To implement these more complex interactivity features, we recommend scheduling a consultation with our business development team at Norfolk AI who can design a custom solution tailored to your specific business requirements and customer journey needs.

Most importantly, Norfolk AI handles the entire implementation and management process, requiring no additional work from your IT team. Our turnkey solution includes ongoing optimization, performance monitoring, and system updates that ensure your AI agents continue to evolve alongside your business needs and customer expectations.

Our AI Agents excel at addressing complex questions through a sophisticated understanding of context and intent. Using advanced natural language processing and semantic analysis, these agents can interpret multi-faceted inquiries and identify the underlying customer needs, even when questions are ambiguous or contain multiple parts.

These agents access custom knowledge bases built specifically for your business that contain comprehensive information about your products, services, policies, and procedures. This enables them to provide detailed, accurate responses to specialized questions without needing to transfer callers unnecessarily.

By leveraging foundational LLM technology combined with your business-specific data, our agents can decompose complex questions into manageable components and address each part systematically. This analytical approach ensures thorough responses that satisfy the caller's complete information needs.

Our standard package includes robust single-agent functionality to handle a wide range of complex inquiries within defined domains. For situations requiring even greater sophistication, our premium tier solutions offer enhanced capabilities such as:

• Agent-to-agent transfers for specialized expertise
• Access to past conversation history for contextual awareness
• Advanced reasoning capabilities for particularly complex scenarios

To implement these more advanced interactivity features, we recommend scheduling a consultation with our business development team at Norfolk AI who can design a custom solution tailored to your specific requirements and the complexity level of your customer inquiries.

Most importantly, Norfolk AI manages the entire implementation and ongoing optimization process, requiring no additional work from your IT team while ensuring your AI agents continuously improve their ability to handle complex questions effectively.

An Agentic AI company builds AI systems that can act independently to achieve goals, not just follow step-by-step commands. These AIs are like digital assistants that can:

• Perceive: Gather information from emails, websites, and other sources.

• Reason: Make decisions and create plans.

• Act: Carry out tasks like scheduling or form-filling.

• Learn: Improve over time with feedback.

Key Differences from Traditional AI:

• Proactive, not just reactive.

• Takes action, rather than just generating content.

• Needs minimal supervision.

• Learns and adapts over time.

What They’re Good For:

• Automating repetitive tasks.

• Managing entire workflows.

• Operating 24/7.

• Adapting to changes without breaking.

• Reducing the need for human experts.

Real-World Examples:

• Adept AI: Uses apps like a human assistant.

• Moveworks: Solves IT/HR issues on its own.

• Aisera: Autonomous customer and IT support.

• Bud Financial: Smart financial management.

• Darktrace: Automated cybersecurity.

• UiPath: Combines automation with decision-making.

In Simple Terms:

If traditional AI is a bicycle (you steer and pedal), agentic AI is a self-driving car — you just tell it the destination, and it handles the journey.

1. Perceive

The AI gathers information from various sources:

• Emails

• Documents

• Websites

• Databases

This is similar to how a human checks their inbox, browser, or files to understand a situation.

2. Reason

Next, the AI:

• Analyzes the data

• Plans the steps needed to achieve a goal

• Makes decisions based on context and priorities

Think of this as the AI figuring out a to-do list and deciding what to tackle first.

3. Act

The AI then takes actual actions to complete tasks, such as:

• Scheduling meetings

• Filling out forms

• Sending emails

• Logging into apps and performing tasks (just like a human would)

It doesn't just suggest what to do — it actually does it.

4. Learn

Finally, the AI:

• Observe what worked and what didn’t

• Learns from outcomes and feedback

• Improves over time

The more it's used, the smarter and more effective it becomes.

The Big Picture:

Agentic companies design AI that behaves more like a digital employee than a simple tool. Instead of needing detailed instructions every time, the AI can:

• Understand a goal

• Figure out how to accomplish it

• Adapt when things change

It’s built to handle complex, multi-step processes, often with little or no human input along the way.

Agentic AI distinguishes itself from other types of AI through several key characteristics:

1. Autonomy and Proactivity: Traditional AI systems typically operate reactively, responding to specific inputs or queries. In contrast, agentic AI systems are designed to function autonomously, proactively pursuing objectives without continuous human intervention. They can analyze situations, make decisions, and execute tasks to achieve defined goals.

2. Complex Decision-Making: While conventional AI excels at handling well-defined, singular tasks, agentic AI is equipped to manage complex, multi-step problems. It employs sophisticated reasoning and iterative planning to navigate intricate scenarios, adapting its strategies based on real-time data and environmental changes.

3. Adaptability and Learning: Agentic AI systems possess the ability to learn from interactions and outcomes, continuously refining their performance. This adaptability enables them to adjust to evolving contexts and unforeseen challenges, enhancing their effectiveness over time.

4. Integration with External Tools: Unlike some AI models that operate in isolation, agentic AI can integrate with various tools and systems, allowing it to perform a broader range of actions. For instance, it can interact with software applications, access databases, and utilize APIs to accomplish tasks.

5. Goal-Oriented Behavior: Agentic AI focuses on achieving specific objectives, orchestrating multiple actions and decisions to fulfill its goals. This goal-oriented approach contrasts with AI systems that provide outputs based solely on immediate inputs without considering broader objectives.

In summary, agentic AI represents an evolution in artificial intelligence, characterized by autonomous operation, complex problem-solving capabilities, adaptability, integration with external systems, and a focus on achieving defined goals.