Conversation Architecture
Introduction
Wholegrain's Conversation Architecture combines leading practices in communication, knowledge acquisition, formulation and utilization with the scale and speed of generative AI systems. This innovative framework doesn't just incrementally improve efficiency; it creates the ultimate meeting environment for clients and project team members, scaling the expertise of the most experienced consultants by hundreds of percent.
By modeling and amplifying the valuable skills of top talent, our system offers consulting firms an instant competitive advantage. It enables a quantum leap in the depth, scale, and speed of consulting services, moving beyond AI as a mere support tool to position it as a core multiplier of a firm's most valued expertise and capabilities.
Mastering Conversation in AI
The Conversation Architecture is a multi-agent system primarily designed to monitor and manage conversation quality and flow. Each agent in the framework has a role, model of thinking and responsibilities, not dissimilar to that of a human consulting team in a meeting process or collaborative analysis task, with a key difference being the speed at which the agent team members can operate.
With practical constraints of human interaction removed, we have architected the ultimate conversation environment for consulting, one that has every valuable role in the conversation at the same time, thinking and analysing available information to determine what is best to ask next.
The Wholegrain Conversation Architecture extends individual conversations by providing the means for agents to share knowledge, providing a model of working much like that of a consulting team.
Furthermore, each agent maintains memory from individual conversations, enabling recall by other agents delivering a unique and personalised experience.
Conversation Architecture in Practice
Wholegrain comprises agents that engage client and project team members for Interviews, Analysis and Reporting project.
Interview agents are designed to streamline and scale the process of gathering information from people, documentation and other AIs, while intelligently incorporating the consultant's unique skill, knowledge and experience. Its strength lies in its use of advanced questioning techniques, ability to store and recall memories across conversations, and operating complex meeting processes with care and precision.
Analysis agents are engineered to interpret and analyze information across hours of interviews in minutes, employing foundational analysis techniques such as Logic Tree and Grounded Theory, to recognize patterns, formulate conclusions and build reports. This collaborative agent works alongside you to complete work with exceptional accuracy and insight, from summary to detail.
Report agents operationalize analysis agent work and content compiled outside of Wholegrain, by professionally communicating with those making decisions or taking action. These agents work alongside clients to format, navigate and comprehend analysis, adapting to the needs of the user for an enhanced experience‐such as language preference, presentation format and level of detail.
Conclusion
The current landscape of generative AI in consulting is characterized by incremental gains. Most firms have adopted generative AI tools that save team members 10-15% of their time by automating low-value tasks. While useful, this approach barely scratches the surface of AI's potential in consulting. Wholegrain's Conversation Architecture, by contrast, represents a paradigm shift:
- Scaling Expertise, Not Just Efficiency: Our system models and scales the valuable skills of your most experienced team members, multiplying their impact by hundreds of percent.
- Instant Competitive Advantage: By dramatically expanding the capacity to deliver expert-level insights and solutions, consulting firms can gain a significant edge in the market.
- Transformative Gains: Unlike traditional AI implementations offering modest efficiency improvements, Wholegrain's approach fundamentally changes what's possible in terms of depth, scale, and speed of consulting services.
Wholegrain's Conversation Architecture moves beyond the current paradigm of AI as a support tool, positioning it as a core multiplier of your firm's expertise and capabilities. By embracing this technology, consulting firms can redefine what's possible in their industry, delivering unprecedented value to their clients and securing a leading position.
Agent Features
Interview Agent
Designed to streamline and scale the process of gathering information while intelligently incorporating the consultant's unique skill, knowledge and experience. Its strength lies in its use of advanced questioning techniques, ability to store and recall memories across conversations, and operating complex meeting processes with care and precision.
Agent configuration options include:
- Objective: The objective for the conversation.
- Topics: The topics the agent must cover in the meeting.
- Context: Context for the meeting that may be useful for the agent to know.
- Skills: The skills the agent will use to support the conversation.
- Rules: Rules that must be adhered to during the conversation.
- Memory: Memory to store and recall information between conversations.
- Target Meeting Length: The approximate period of time for the meeting.
- Autonomous Mode: AI interviewee connection information.
Analysis Agent
Engineered to interpret and analyze information across hours of interviews in minutes, these Agents employ foundational analysis techniques such as Logic Tree and Grounded Theory, to recognize patterns and formulate conclusions. This collaborative Agent works alongside you to complete work with exceptional accuracy and insight, from summary to detail.
Agent configuration options include:
- Objective: The objective for the conversation.
- Connected Agents: The Interview Agents this agent can connect with.
- Analysis Report Templates: Pre-defined target report templates to be used in compiling analysis.
- Skills: The skills the agent can call upon throughout the conversation.
- Rules: Rules that must be adhered to during the conversation.
Report Agent
Operationalize analysis agent work and content compiled outside of Wholegrain, by professionally communicating with those making decisions or taking action. These Agents work alongside the user to format, navigate and comprehend analysis, adapting to the needs of the user for an enhanced experience‐such as language preference, presentation format and level of detail.
Agent configuration options include:
- Objective: The objective for the conversation.
- Topics: The topics the agent can support the user to explore.
- Connected Agents: The Analysis Agents this agent can connect with derive report content.
- Reporting Data Sets: Externally compiled content that this agent can use to report.
- Rules: Rules that must be adhered to during the conversation.
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