LLM&GPT and Automation Discovery Audit Service
Discover how the LLM&GPT and Automation Discovery Audit can optimize your AI language models and automation processes for maximum business efficiency. Tailored insights to enhance performance, reduce costs, and drive growth.
What it is
The LLM&GPT and Automation Discovery Audit is a customized consulting service designed to evaluate and enhance an organization’s existing AI-powered language models (LLM) and automation systems. The audit examines the current landscape of AI integration, identifies inefficiencies, and suggests improvements for enhanced automation workflows and optimized LLM performance.
How it maps to the customer journey
The service provides actionable insights and clear strategies that support each stage of the customer journey—from discovery through to engagement and retention. By identifying automation opportunities and optimizing language model performance, businesses can streamline customer interactions, enhance personalization, and improve response times across touchpoints.
Awareness
Clear risk framing and regulatory context. We explain what’s at stake (PII, hallucinations, model drift), tailored to your industry.
Consideration
We perform a security audit, reviewing data pipelines, access controls, and prompt injection risks. You get a blueprint for secure deployments.
Adoption
Implement guardrails: usage policies, user roles, model versioning, audit logs, and ethical guidelines. You get a framework to grow responsibly.
Expansion
Establish centralized governance, risk mitigation playbooks, and cross-functional AI steering committees to scale governance as adoption grows.
Optimization
Ongoing review mechanisms, incident response plans, and model performance tracking to ensure long-term trust and performance.
Awareness
Clear risk framing and regulatory context. We explain what’s at stake (PII, hallucinations, model drift), tailored to your industry.
Consideration
We perform a security audit, reviewing data pipelines, access controls, and prompt injection risks. You get a blueprint for secure deployments.
Adoption
Implement guardrails: usage policies, user roles, model versioning, audit logs, and ethical guidelines. You get a framework to grow responsibly.
Expansion
Establish centralized governance, risk mitigation playbooks, and cross-functional AI steering committees to scale governance as adoption grows.
Optimization
Ongoing review mechanisms, incident response plans, and model performance tracking to ensure long-term trust and performance.
How it maps to business departments
The LLM&GPT and Automation Discovery Audit aligns with various business departments
Marketing
Discover GPT use cases in content generation, customer segmentation & campaign automation
Sales
Improves lead generation and sales conversion processes through AI-driven outreach and engagement.
Accounts
Spot automation potential in reporting, client updates, and relationship insights
Service / Product Delivery
Identify tasks for AI agents in coordination, documentation, and real-time updates
Operations
Identifies processes that can be automated, reducing costs and improving operational efficiency.
HR
Uncover automation for onboarding, internal Q&A bots, and candidate screening
Support
Audit ticket triage, knowledge base, and chatbot readiness for AI augmentation
Internal and external use and value
Internal Use
For internal teams, the audit improves productivity, reduces manual tasks, and creates a data-driven foundation for future AI initiatives.
External Use
For customers, the audit enhances service delivery through faster, more efficient AI interactions, boosting customer satisfaction and engagement.
Supports value protection, enhancement, and creation
| Value | Description |
|---|---|
| Value Protection | The audit helps identify risks related to AI models, ensuring that they function optimally and securely while protecting sensitive business data. |
| Value Enhancement | By improving AI efficiency, businesses can streamline processes, reduce costs, and increase customer satisfaction, enhancing brand value. |
| Value Creation | The audit uncovers new opportunities for automation and improved AI interaction, contributing to the creation of innovative solutions and business growth. |
Value Protection
The audit helps identify risks related to AI models, ensuring that they function optimally and securely while protecting sensitive business data.
Value Enhancement
By improving AI efficiency, businesses can streamline processes, reduce costs, and increase customer satisfaction, enhancing brand value.
Value Creation
The audit uncovers new opportunities for automation and improved AI interaction, contributing to the creation of innovative solutions and business growth.
Elevating Value with AI, Tools like Keboola and Make.com
Integrating additional AI capabilities and advanced automation tools further enhances the value of this service. For example
AI
Leveraging advanced deep learning techniques can help improve the accuracy and contextual relevance of LLMs, resulting in more precise interactions and predictive capabilities.
Keboola
This tool can help centralize and optimize the data integration process, improving AI model training with high-quality, structured data.
Make.com
Streamlines workflow automation by connecting various tools and systems, ensuring that business processes are seamlessly integrated and optimized.
AI
Leveraging advanced deep learning techniques can help improve the accuracy and contextual relevance of LLMs, resulting in more precise interactions and predictive capabilities.
Keboola
This tool can help centralize and optimize the data integration process, improving AI model training with high-quality, structured data.
Make.com
Streamlines workflow automation by connecting various tools and systems, ensuring that business processes are seamlessly integrated and optimized.