Conversational AI Scoping & Pricing

Every interaction is unique. If Tony is engaging with your Agent on your website at the exact same time as Steve is, they’re both having unique, original experiences. Personalization can be straight forward. If the AI obtains a name, for instance, it’ll remember and use it throughout the chat. Personalization can also be achieved through thoughtful questions where the AI picks up on individual needs and issues. While the AI is trained to “speak for itself,” we can be very specific on what it says and when. At this point, ask a question about this thing. Then share an insight. Then ask another question. And so on. Throughout this process, the AI is adept at taking the conversation’s essence, mulling it over with what it’s learned from its training materials, and then delivering a fitting response. This might be a direct answer, a helpful link, an invite to drop some contact details, or other actions that drive results.

Your AI can seamlessly integrate with a broad array of processes, including leading CRM and sales systems. Beyond that, stakeholders can be alerted of new conversational activities through email or text, and we can even append these details to a Google doc for effortless export.

As conversations unfold in real-time, our AI is skilled at discerning user intent and key events. We can then tag users based on these insights. This enables your reports to highlight elements the AI identifies as urgent needs, specific interests, potential timelines, or any other pivotal aspects integral to your sales journey.

At present, our services are offered exclusively within the United States. The platforms and systems we utilize, including but not limited to ChatGPT, Claude, Amazon Web Services (AWS), and Google Cloud Platform (GCP), each have distinct privacy and security policies. We ensure these policies are made available to you before formalizing any engagement.

It’s important to highlight that:

• Conversations facilitated by our system are not stored or repurposed for training beyond your specific use case and conversational system. We do not directly use any data for further training of any LLM models in general.
• Both encryption-at-rest and encryption-in-transit are rigorously implemented.
  However, it’s crucial to understand that we cannot be held liable for potential data or security breaches that might occur due to vulnerabilities in our software vendors’ systems. Additionally, any communications produced by the AI, based on the materials you’ve provided, are not under our direct liability.

Presently our capabilities are limited to US English.

Just like with our knowledge base, any materials you provide on company culture will help train your AI. Any materials you possess that shed light on your organizational ethos can be used to fine-tune your AI. At its core, the AI is trained to resonate with your target audience. This could involve understanding their demographics, professions, or any other nuances central to your sales engagements. Guidance on tone like “casual yet professional” is taken to heart, and if you have specific jargon, acronyms, or unique brand expressions, those are integrated seamlessly. If you have a brand style or brand voice guide, we’ll implement it. Additionally, we offer a dedicated ‘Brand Style’ service to fine-tune this communicative approach further.

Should the AI face questions outside its primary function, it’s trained to not make guesses or venture beyond its knowledge base. It’s trained to not speculate, opine or engage. Its training is for responses to stay strictly within the boundaries of its training. Hallucination is a term to describe AI’s tendency to sometimes make up information or stray from its training. We have safeguards in place to, if not eliminate this phenomenon, minimize it significantly.

Before your conversational system is introduced, it undergoes testing, with your team playing a crucial role, to ensure it communicates in a manner consistent with your brand’s standards.

Yes. When the AI encounters a question it can’t answer, our system is primed for assessment and improvement. This often involves refining the AI’s prompt configurations, supplementing its training materials, or reimagining parts of its conversational strategy. This is part of the crucial value of ongoing Monitoring and Optimization.

At this time, icons and colors can be customized. Structural aspects like dimensions or placement on the page aren’t customizable – for now, the AI conversational system will “live” inside a button on the lower right of a website page.

Generative AI platforms, including ChatGPT, and the associated systems we utilize undergo regular updates, although the timeline is beyond our direct control. Rest assured, when significant updates arise that might influence the design or efficiency of your AI conversational system, we’ll promptly inform you and offer relevant recommendations or guidance.

The AI is designed to seamlessly capture essential data that drives your business conversations forward. Think of it as an interactive form: instead of static fields waiting to be filled, our system engages users in a dynamic conversation to gather the same data. This ensures a more user-friendly and engaging experience for your visitors. Moreover, the information collected is easily integrated into other platforms you may be using, ensuring continuous and efficient data flow for your business processes.

Lead prioritization is entirely tailored to your specific needs. We collaborate closely with you to understand your existing sales practices and criteria. By grasping the nuances of your lead qualification, and by recognizing the vital questions that shape your sales scenarios, our AI ensures that every lead is ranked and managed in line with your unique business objectives.

Analytics we capture include:

• Interactions: Total number of engagements users have had with your AI.
• Recognition rate: The percentage of messages understood by your AI, i.e. did not trigger the fallback intent.
• Unique Users: Unique users that have engaged with your AI.
• Unique Sessions: Unique user sessions with your AI.
• Top Intents: The most popular queries users ask your AI.

You can also compare different time periods to see how your AI is performing with each iteration of your assistant. You can then cross reference these analytics with your internal ROI measurement tools to determine how it’s working. We also regularly use this data to improve your AI.

For a dedicated lead-setter or support agent working 8 hours a day to monitor your website and answer questions in real-time, you can expect to pay between $2,500 to $4,000 per month. This estimate typically includes the cost of hiring a skilled professional who can manage customer interactions efficiently, using tools and systems to provide prompt and accurate responses.

While scoping your project, if we identify areas where AI might be problematic—especially concerning sensitive topics—we’ll recommend a human-centric approach. Though our platforms adhere to HIPAA and SOC-2 compliance standards, there are niches, such as within healthcare or finance, where human interaction is irreplaceable. That said, the value of an AI Expert is undeniable in most scenarios. For example, while we won’t design a medical AI for diagnostics, we can craft one to route users to the appropriate medical professionals. Simply – we don’t think AI is yet an appropriate tool for medical, financial, or sensitive advice or processing. We won’t take on projects where we lack confidence in our ability to have a positive impact on you or your users.

All that said, we can create conversations that stay out of the specifics of sensitive advice. AI can easily answer pre-sale questions, for instance, as a part of lead generation.