AI Artifacts

An AI artifact is a product or tool created using artificial intelligence techniques, designed to solve specific business problems or automate tasks. These can include things like chatbots, recommendation engines, predictive models, or custom AI assistants. Each artifact applies AI logic to deliver insights, decisions, or actions—often integrated into a user-friendly application.

The following are the typical AI Artifacts that we deliver as part of our engagements:

Custom GPT

A Custom GPT is a bespoke version of OpenAI’s powerful large language model (GPT-4), configured with specific instructions, knowledge, and capabilities to serve a particular business or user need. It behaves like a smart assistant—able to answer questions, perform tasks, or simulate expertise—based on the custom rules and context that we provide it.

Business Use Cases

• Internal Assistant:
  Answer employee questions instantly using internal policies, handbooks, or training docs.
• Customer Support Agent:
  A 24/7 AI support assistant trained on your help center content.
• Sales & Ops Assistant:
  Auto-generate emails, summarize CRM notes, or suggest next steps.
• Content Generator:
  Write articles, briefs, or posts in your company’s voice.

Advantages:

• No hosting or operating expenses
• Natively multilingual
• Fast development

Disadvantages:

• User must have a ChatGPT license (Free, Plus, Team, Pro or Enterprise). Free version of ChatGPT only allows a few interactions per day, and is limited to GPT v3.5
• Extremely limited branding possibilities
• Limited knowledge capacity and limited integration options
• Availability and reliability may be affected by the state of OpenAI's infrastructure
• No usage analytics

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Copilot Chatbot

A Microsoft Copilot chatbot is an intelligent conversational assistant built using Microsoft’s Copilot Studio. It enables users to interact with business data, systems, and processes through natural language—automating answers, tasks, and workflows directly within Microsoft 365 and beyond.
It behaves like a smart assistant—able to answer questions, perform tasks, or simulate expertise—based on the custom rules and context that we provide it.

Business Use Cases

• IT Helpdesk Bot:
  Answers common tech support questions or helps users reset passwords.
• HR Assistant:
  Guides employees through onboarding steps, leave policies, or benefits info.
• Sales & Ops Bot:
  Pulls customer records, generates proposals, or provides quick sales data.
• Project Copilot:
  Helps teams track tasks, update project statuses, or generate summaries from chats or docs.

Advantages:

• Allows control of the logic paths taken by the chatbot, and can also leverage GPT for smarter, more flexible responses
• Extensive branding possibilities
• Integrates tightly with your Microsoft environment and with external systems via connectors or APIs
• Support for multiple data sources, including SQL, Dataverse, API, etc.
• Collects usage and quality analytics

Disadvantages:

• Hosting cost depends on the number of conversational interactions
• Extremely limited branding possibilities
• Natural Language Understanding (NLU) engine is not as good as GPT-4

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Similarity Sandbox©

This is a Techmien-developed AI-powered tool that we use to prototype the logic that may be included in an application.
Similarity logic helps match entities (people, items, or ideas) based on how closely related they are—using advanced language understanding rather than just keywords, and recommends the best matches from an existing list, based on semantic similarity.

Business Use Cases

• Proof of Concept and prototyping
• Evaluate and select AI models
• Validate data, logic and settings
• API testing and parameter tuning (max-tokens, temperature, guardrails, etc.)
• Estimate operating expense

Advantages:

• Controlled and monitored environment
• Language agnostic, hence multilingual
• Batch or step-by-step operation

Disadvantages:

• N/A

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