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Accelerate from the information age to the relevant information age

AssistCraft Suite is an enterprise-grade AI multi-agent platform that powers multimodal chatting experience by integrating with company data and IT systems.
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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.

02

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.
03

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.

02

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.
03

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.

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

Extensive performance metrics, chatting history for semantic analysis, automatic re-ingesting.
Input flexibility
Support of multiple languages, multiple document types and multimodal inputs by users.

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

AssistCraft Suite is aligned with EU AI Act, ISO27001 and GDPR. We can consult you on the mandatory contractual protections you’ll need from third party providers.

Integrates easily to your ecosystem

We built AssistCraft Suite with seamless integrations in mind. SAP, Microsoft Dynamics 365, ServiceNow, Okta and others.

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.

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, detect business bottlenecks and AI opportunities.

Current IT infrastructure audit

Review data assets, assess readiness for AI implementation, detect organizational AI maturity.

Implementation strategy

Prioritize potential initiatives, set milestones and define success metrics of the implementation.

Build AI assistant

Using AssistCraft Suite, our team designs, codes, tests and tweaks the AI assistant.

Handover to your team

Onboarding and training of your end-users, continuous support per our SLA.

Improvements and upgrades

Add new and refine existing capabilities based on user feedback and your business needs.

Ready to build your own AI Assistant?

Talk with our seasoned AI team on how AI AssistCraft Suite can be deployed in your ecosystem to achieve highest ROI and reach your business goals.
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Tomislav, CBO @Ingemark

Ozren, Head of Sales @Ingemark