Before AI can operate in your organization, it has to understand your organization.
AI will change how organizations operate at scale. Dotwork gets you ready.
Enterprise agents
Agents purpose-built for enterprise operations. Create custom agent types, run evaluations before deploying, and use models securely with AWS Bedrock.
Knowledge graph
Future-proof your operations data. With a knowledge graph as its foundation, Dotwork is the only platform of its kind purpose-built for AI agents.
Operating ontology
The ontology helps agents understand your organization. It provides deep context to agents and evolves over time as your organization changes.
The looming enterprise problem with AI is not the implementation of the technology, it's preparing the context, retaining memory, and enabling long-term activities.
Agents need a map of their environment to operate effectively at scale.
Go beyond searching your frontline tools.
Make AI actionable higher-level context for agents to operate with.
500+ Integrations, enriched with Dotwork Context
Reach any system with smart integration levels. Connect everything from Jira to data lakes.
A foundation for enterprise AI.
Agents that coordinate, remember, and operate with a deep understanding of the organization.
A suite of powerful tools for AI agents.
Create, evaluate, and deploy agents with confidence on a graph-native platform.
Agent
Status Update Agent
Just now
Custom agent swarms
Seamlessly collaborate with AI agents that understand your organizational context and goals.
Full control over context & behavior
Automatically align work with organizational goals and track progress in real-time.
Test agents & run evaluations
Get AI-powered insights that help identify risks and opportunities early.
On a graph-native platform
Build a comprehensive knowledge graph that connects all your organizational data and insights.
Deep context of your ontology
Create and customize AI workflows that match your unique processes.
Enterprise-grade security
Enterprise-grade security with full control over your data and AI operations.
Powerful agent types lay the foundation
for specific agents built for your unique use cases.
Agents that specialize in collecting information by having conversations with others. Often, having many simultaneous conversations with the goal of collecting similar data. Like unstructured surveys that turn into structured data.
Status Updates
Proactively gather and communicate progress updates across teams and projects automatically
Surface Dependencies & Risks
Identify and surface potential blockers, dependencies, and risks before they impact delivery
OKR Check-ins
Facilitate regular objective and key result reviews with automated progress tracking
Strategy Alignment
Ensure all work and decisions align with organizational strategic goals and priorities
These Agents take an input and return an output. For example, I pass in context and get back a summary. They work with a predictable structure which makes them great for use in fields, views, and jobs that require converting unstructured data to structured data.
Summarize
Automatically generate concise summaries from lengthy documents, meetings, and data sources
Generative Fields
Intelligently populate form fields and data entries using contextual organizational information
Process Data
Transform, clean, and structure raw data into organized formats for analysis
Make Updates
Automatically apply changes and updates across systems based on predefined rules
Agents that analyze data and generate actionable insights for decision making.
Swarm Insights
Aggregate collective intelligence from multiple agents to generate comprehensive organizational insights
Weekly Reports
Automatically compile and deliver regular reports on key metrics and progress
Tailored Notifications
Send personalized alerts and updates based on individual roles and responsibilities
Spot Trends
Identify emerging patterns and trends in organizational data for strategic planning
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