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Accelerate from the information age to the relevant information age
Your unique AI Assistant’s inner workings
01
Data gathering
You have control over data indexation – managing access and directing your AI Assistant to the most actionable knowledge.
Data can be gathered from a variety of sources (Google Drive, OneDrive, ServiceNow, etc.) using predefined connectors.
AssistCraft Suite automatically checks for changes in data, and re-ingests it when necessary.
User interaction
Your Assistant uses LLMs to understand complex user questions and its context.
Then AI Assistant checks the knowledge base and connects to real-time sources through APIs.
AI assistant ensures that data used for creating the answer can be access by the current user.
LLMs are used to create an easy to understand reply, while QA module ensures reply is accurate, compliant, and with no hallucinations.
Feedback loop
Your admins get performance and usage stats that give them a high-level picture of AI Assistant’s impact.
They can do semantic analysis of underperforming topics to find areas of improvements.
Based on the insights, AI Assistant can be improved — knowledge based updated, real-time source connectors upgraded, or AI components tweaked.
01
Data gathering
You have control over data indexation – managing access and directing your AI Assistant to the most actionable knowledge.
Data can be gathered from a variety of sources (Google Drive, OneDrive, ServiceNow, etc.) using predefined connectors.
AssistCraft Suite automatically checks for changes in data, and re-ingests it when necessary.
User interaction
Your Assistant uses LLMs to understand complex user questions and its context.
Then AI Assistant checks the knowledge base and connects to real-time sources through APIs.
AI assistant ensures that data used for creating the answer can be accessed by the current user.
LLMs are used to create an easy to understand reply, while QA module ensures reply is accurate, compliant, and with no hallucinations.
Feedback loop
They can do semantic analysis of underperforming topics to find areas of improvements.
Based on the insights, AI Assistant can be improved — knowledge based updated, real-time source connectors upgraded, or AI components tweaked.
Why AssistCraft Suite over BigTech options?
Setup adaptability
Control of indexing, RAG options, and LLMs choice. No limits on document structure and database size.
Feedback scalability
AI Assistant that evolves with your business
Updates with your knowledge base
Your in-house admins can update knowledge base and new content is automatically used by the AI Assistant without the need for any further setup.
Technology agnostic
Your AI Assistant is decoupled from any specific AI product, instead it looks for the optimal AI resource to answer your employee’s query.
Compliance-ready
Integrates easily to your ecosystem
Multimodal inputs and outputs
Your AI Assistant is able to take in more than just a text, and provide more than text. Think your employee screenshotting an IT problem, and getting back the remedy steps table and links.
Future proof
The AI landscape is rapidly evolving. To remain competitive, the product needs to keep pace with changes. AssistCraft is built on composable architecture that allows for seamless integration of new technologies and AI models as they emerge as well as existing IT ecosystems.
A user-friendly interface designed to facilitate seamless interaction with AI assistants.
A multifaceted admin page interface, incorporating various modules designed to facilitate streamlined system management. These modules include Chat Assistant, Knowledge Transform, Insights, all accessible through a centralized control panel.
Intuitive knowledge transformation process setup and monitoring.
Support for various sources, destinations, and embedders.
Deployed AI Assistants
Medical company
Pre-contact IT support
Client problem
- Worldwide pool of employees
- Overwhelmed IT support team
- Lost productivity
Our solution
- Leverages client’s IT support knowledge base and protocols
- NLP module understands employee’s ask
- GenAI produces potential remedies
- If remedies fail, AI Assistant creates IT support ticket
Impact it made
- Virtually zero marginal cost of serving all employees
- Less time spent looking for information
- Quicker response time if ticket is sent
- Higher employee satisfaction
- Less Level 1 IT support staff
Medical company
Enhanced IT support operations
Client problem
- Large volume of customer IT support tickets
- Customers spanning multiple time zones
- Sensitive health-related topics
Our solution
- Based on the company’s IT support protocols and known issues
- Provides instant remedy suggestions to IT support staff
- Provided remedies can be tweaked before sending to customers
- Stays up to date with product and tech developments
Impact it made
- Shorter responses time
- Higher first-contact resolution
- Increased productivity of IT support staff
- Service consistency and customer satisfaction
Steps to deploy your AI Assistant
Business analysis
Map business processes, understand business goals and needs, and detect business bottlenecks and AI opportunities as a basis for collecting requirements..
Current IT infrastructure audit
Assessment of data assets and AI readiness, provisioning of cloud and on-premise AI infrastructure, and CI/CD pipeline setup.
Implementation strategy
Prioritize potential initiatives, set milestones and define success metrics of the implementation.
Build AI assistant
Using the AssistCraft Suite, the AI assistant is designed, coded, tested, and refined. The product is tested by the target audience to ensure user acceptance.
Handover to your team
Improvements and upgrades
Ready to build your own AI Assistant?
Tomislav, CBO @Ingemark
Ozren, Head of Sales @Ingemark