Introduction

What is Motific.ai?

Motific.ai is a SaaS product empowering IT, security, and compliance teams to deliver Generative AI (Artificial Intelligence) capabilities to your organization’s internal teams. It ensures control over sensitive data, security, responsible AI, and costs. Motific.ai also enables your teams to monitor the usage of the Generative AI (GenAI) applications within your organization.

• Motific.ai empowers your teams to quickly set up AI assistants and streamlined APIs that harness your enterprise data sources, all while enabling you to incorporate policy, security, and cost controls, in just minutes. You can connect to the major Large Language Model (LLM) service providers without any hassle.

• Motific.ai provides comprehensive security and compliance policy controls.

• Motific.ai provides detailed analytics and intelligence on every user-model interaction, helping assess return on investment and recommending more suitable models based on past usage patterns.

Motific.ai features

Language support

Motific.ai supports English language only. You can enable Motific.ai to support other languages, but note that the underlying small language models that power the Motific.ai system are trained with English language datasets.

Security and compliance guardrails

Motific.ai’s security and compliance guidelines empower organizations to establish and maintain controlled GenAI usage across their organizations, ensuring adherence to compnay policies and responsible AI standards. Furthermore, these guardrails and controls incorporate safeguards to protect GenAI applications and their associated data from unauthorized access, modification, or destruction. These safeguards are manifested as policy templates within Motific.ai, granting you the flexibility to tailor the guidelines to suit your specific requirements. These policies must be applied to a GenAI application for them to take effect.

The policies that can be configured with Motific.ai include:

• Code presence
• Adversarial content
• Toxic content
• Malicious URL
• Off-topic content
• Personally identifiable information content

Code presence

The code presence policy, when applied, can detect the presence of code in the input prompts and model responses. Currently this policy is in the experimental stage and supports detection of coding languages like Python, JavaScript, and Java.

Adverserial content

An adversarial content policy, when applied, can block attempts to exploit AI models through prompt injections, SQL query injection, and security threats, ensuring safe interactions with LLMs.

Off-topic detection

Off-topic content policy, when set, helps maintain focused and relevant conversations, preventing misuse of chatbots for unintended purposes.

Personally identifiable information content

Personally identifiable information (PII) content policy prevents the sharing of sensitive personal information with LLMs to safeguard user privacy. It can redact and block the following PII entities: Social Security Number (SSN), credit card number, phone number, physical address, person name, and email addresses.

Malicious URL

Malicious URL and data protection policy prohibits the injection of harmful URLs, protecting the chat interface from cybersecurity risks.

Toxic content

Toxic content policy enforces guidelines for toxic (umbrella term for rude, offensive, sexually explicit content) and unsafe content. It ensures interactions with any LLMs are free from racism, sexism, and other harmful behaviors.

LLM provider connections

Motific.ai offers seamless integration with a range of foundational models from multiple providers including Mistral AI, Amazon Bedrock, and Azure OpenAI and continues supporting more. This flexibility allows Motific.ai administrators to customize and personalize a wide range of GenAI assistants and API endpoints to meet the specific needs of business teams’ use cases.

Retrieval augmented generation service

Motific.ai Retrieval-Augmented Generation (RAG) enables you to attach your own enterprise data to your Motifs. RAG is a hybrid machine learning approach that combines the capabilities of two models: a retriever model that fetches relevant information from a database or document corpus aka enterprise data, and a generator model that creates text based on the retrieved information.

Motific.ai leverages the RAG framework for its enterprise-grade RAG service, enriched by a generative AI toolchain. This toolchain incorporates components such as data source connectors, embedding models, a vector database, and a retrieval system, all designed to facilitate context-aware model inputs and outputs. It enables the incorporation of customized knowledge bases into your GenAI applications, which may include a range of enterprise data sources such as Microsoft SharePoint and accessible websites that house business-critical documents. The RAG service ensures Motific.ai generates responses that are not only accurate but also contextually relevant, utilizing actual data model. Rather than solely depending on the pre-trained knowledge of the model.

Hallucination policy for RAG

In Motific.ai, hallucination detection ensures faithfulness of queries and responses to the context derived from the attached knowledge bases of Motific.ai assistants and API endpoints. Currently, context in user queries outside the Motif’s knowledge base is treated as user prompt and not checked for response faithfulness.

Cost management

Motific.ai provides comprehensive cost management for every customized GenAI application with configurable token budgets and thresholds for each Motif. This cost control functionality enables you to define token usage limits for each application. Should an app exceed its allocated token threshold, it will cease to process further prompts or inputs, preventing users from receiving responses to their inquiries. You have the flexibility to adjust these budgetary constraints to align with weekly, monthly and annual budgets or with changing usage patterns.

Intelligence

Motific.ai offers an Intelligence feature that offers a suite of insights encompassing operational, usage, and business metrics. It equips Motific.ai administrators and business decision-makers with the critical data necessary to make informed investment and operational decisions based on the usage patterns of Motific.ai assistants. The insights offered by the Intelligence feature include a summary of tasks performed by GenAI assistants, analysis of token consumption trends by task categories, estimates of productivity gains and time efficiencies achieved through the deployment of GenAI assistants and recommendations for the most effective model to handle specific tasks.

Dashboard

Motific.ai’s observability dashboard provides real-time monitoring capabilities for AI assistants equipped with configured policies and data sources. It offers insights into key operational metrics such as policy violations and token consumption for both inputs and outputs. It features usage insights, including visualizations of the number of prompts for the top five task categories queried by users across all provisioned AI assistants. Furthermore, the dashboard highlights trends in token usage, comparing data from the current to the previous month.

Monitoring

The monitoring feature enables you to review the summary of policy flags by Motif, over a period of time and by most flags by across assistant users. In addition it also shows a summary of top token consumptions by user and motif.

Shadow GenAI detection is another feature of the monitoring section that enables detection of enterprise endpoints using LLMs across the organization. This capability requires integrating with an existing Cisco Umbrella CASB account.

Prompt history is another feature within the monitoring section that enables review of each individual prompt interaction with the system. This is useful for use cases such as audit trail, policy effectiveness evaluation and end to end system efficiency checks.

Abstract APIs

Our abstracted APIs provide simplified, consistent access to the chosen foundation models. The ease of use of these APIs makes it easy to integrate with your GenAI assistants.

How does Motific.ai work?

Provisioning an AI assistant

By following these steps, IT administrators can effectively set up and manage customized Motifs tailored for their organization’s GenAI applications.

Step 1: Access the Admin Console

• Log in to the Motific.ai admin console.

Step 2: Configure a Motif

Customize the following settings within the Motif:

• Connect your model provider and select the models that will power your Motifs.

• Connect your data sources and create knowledge bases to provide contextual data to your Motifs.

• Create a policy from our templates to improve trust, safety, security, and cost compliance.

• Create a Motif connecting your model, knowledge base, and policies to deliver a trustworthy GenAI assistant.

Step 3: Test a Motif

• Use Motific.ai’s streamlined APIs to interact with your configured Motif.

• Alternatively, evaluate the Motif’s performance on:

  • The dedicated testing page.

  • The chat console.

Step 4: Monitor/Intelligence

• Monitor how your configured Motif is being used.

• Track engagement with LLMs using prompts within the Motif’s framework.

Using the AI assistant

Once the admin setup is complete, authorized team members can utilize the custom GenAI application to boost their work efficiency. You can deploy different applications across different departments, enabling staff from areas such as marketing, finance, or customer support. By incorporating departmental data into a knowledge base, users can interact with the GenAI assistant to access information that is highly relevant and specific to their departmental context.

Who can benefit from Motific.ai?

Motific.ai can benefit any organization wishing to harness the power of GenAI applications to boost productivity in a secure, trusted, and controlled environment.

Which business verticals can benefit from Motific.ai?

Motific.ai is particularly beneficial for key sectors such as Finance, Healthcare, Tech, Telecom, and highly data-focused organizations.

Which personas can benefit from Motific.ai?

Policy and decision makers

The personas like CXOs, VPs and Directors in IT, Security, Compliance, and Data teams who are responsible for business compliance, defining strategic direction to AI deployment, reviewing evaluations of GenAI deployment approaches and approval of GenAI policy controls for the organization can benefit from the PII, toxic content, data loss prevention and security policies that can be defined and applied to apps via Motific.ai.

Administrative users

Central IT, Security, and Data Operations teams responsible for providing employees within the company with access to GenAI services can ensure policy control effectiveness and compliance, fast and frictionless GenAI end-user experience. Motific.ai provides visibility into business and operational metrics and secures GenAI-connected systems and data.

End-users

Knowledge workers and managers in business functions like Marketing, HR, Sales, Customer Support, and Finance can benefit from Motific.ai’s ability to add data-sources and knowledge bases. These functions can leverage GenAI assistants to boost productivity in a compliant manner with the backing of their business data.

IT developers

IT developers can use the provisioned abstracted APIs in business applications to interact with LLMs or RAG configs in a consistent and compliant manner. For more information read Motific.ai API documentation.

Other business functions

Other business functions such as HR, Finance, Marketing, Customer Support, IT Helpdesk can also use Motific.ai to integrate with their existing workflow to increase the operational efficiency such as handling large volumes of customers inquires and speed up the internal knowledge discovery process.