Storytell is the enterprise AI platform that employees use to get what they want done using AI. Rather than simply providing another chatbot, Storytell delivers a fully autonomous agent system that transforms messy enterprise data into strategic results, enabling knowledge workers to become limitless versions of themselves.

Key benefits

• Autonomous operation: Plans strategies and executes complex tasks without constant prompting

• Universal data compatibility: Works with 80% of enterprise data that never lives in warehouses

• Scalable automation: Transforms one-time analyses into repeatable, enterprise-wide workflows

• Enterprise-grade security: Built for the most demanding security and compliance requirements

The Agentic AI Difference

From Data to Strategic Results

Storytell follows a unique Data → Insights → Strategy → Results flow that sets it apart from traditional AI tools. Instead of requiring users to craft perfect prompts and manage complex workflows, Storytell's autonomous agents handle the entire process:

The 4-Step Autonomous Process:

1. Strategy Planning: AI fully analyzes your request, understands complexity, and creates an execution plan

2. Tool Execution: Automatically calls appropriate tools (web search, knowledge base search, data analysis) based on the strategy

3. Artifact Generation: Creates comprehensive outputs like reports, analyses, and recommendations

4. Automation Enablement: Converts successful workflows into repeatable Actions that run on schedules or triggers

Core Proprietary Technologies

Concepts: Dynamic Knowledge Graph

Traditional enterprise data is trapped in incompatible formats—spreadsheets, presentations, meeting recordings, and documents that can't be queried together. Storytell's @Concepts technology automatically extracts and maps relationships between unstructured data, creating queryable concept objects.

Example: Instead of manually reviewing a CSV file, an hour-long Zoom call, and a 50-slide presentation to understand "Q1 Sales Performance," Storytell creates a Concept that pulls relevant data from each source, giving you a unified view of the topic across all your data.

Read more about @Concepts: Concepts overview

Actions: Automation Engine

Actions transform one-time analyses into repeatable, scalable workflows. When an "AI Ambassador" (knowledge worker) discovers a valuable analysis, they can convert it into an Action that:

• Runs on custom schedules (hourly, daily, weekly)

• Triggers when new data arrives

• Sends results to any destination (email, Slack, Salesforce, etc.)

• Scales across teams without manual intervention

Read more about Actions: Actions overview

DynamicLLM Router: Multi-Step Processing

Storytell's sophisticated routing engine automatically selects the optimal large language model for each query component, using benchmarks to evaluate speed, performance, and accuracy. This "MapReduce for LLMs" approach ensures you get the best possible results while maintaining flexibility to use your own API keys or models.

Data Philosophy

Let Messy Data Stay Where It Lives

80% of enterprise data will never live in data warehouses, and Storytell is designed for this reality. Instead of requiring expensive data migration or complex ETL processes, Storytell creates a dynamic meta-layer that understands your data wherever it lives.

Compatible Data Types:

• Spreadsheets and CSV files

• PowerPoint presentations and documents

• Zoom recordings and meeting transcripts

• Email threads and Slack conversations

• PDFs and text files

• Database queries and API responses

Use Cases Across Industries

Security and Threat Detection

• Log Analysis: Process 450+ terabytes/day of security logs to identify patterns and threats

• Threat Intelligence: Automatically analyze open-source intelligence and security feeds

• Incident Response: Create automated workflows for security event management and response

Business Operations

• Sales Performance: Analyze pipeline data, customer feedback, and market trends for strategic insights

• Customer Success: Identify churn risks and automate retention strategies

• Knowledge Preservation: Capture institutional knowledge when employees leave the organization

Compliance and Governance

• Regulatory Reporting: Automatically generate compliance reports from multiple data sources

• Audit Preparation: Organize and analyze documentation for audit readiness

• Policy Management: Track policy changes and ensure organizational alignment

User Journey: From Discovery to Scale

AI Ambassadors: Discovery Phase

AI Ambassadors are knowledge workers who actively experiment with AI tools to find value. They use Storytell to:

• Analyze complex data sets manually

• Discover insights through natural language queries

• Test different approaches to business problems

• Identify high-value use cases for their teams

AI Admins: Scale Phase

AI Admins take successful discoveries and scale them across the organization. They use Storytell to:

• Convert manual analyses into automated Actions

• Set up enterprise-wide workflows and governance

• Manage team access and permissions

• Monitor usage and optimize performance

The Platform Bridge: Storytell's unique design allows seamless transition from individual experimentation to enterprise automation, ensuring valuable discoveries don't remain siloed.

Enterprise-Grade Platform

Security and Compliance

• Certifications: SOC2 Type 2, HIPAA, GDPR compliant

• Data Governance: Complete data provenance tracking and lineage

• Access Control: Role-based permissions and team management

• Audit Trails: Comprehensive logging of all platform activities

Enterprise Features

• Custom LLM Integration: Bring your own API keys and models

• Advanced Analytics: Usage tracking and performance optimization

• Team Workspaces: Isolated environments for different departments

• Custom Retention Policies: Data lifecycle management