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 orgnaization changes.

Screenshot Demo
“The looming enterprise problem with AI is not the implementation of the technology, it's preparing the context. Agents need a map of their environment to operate effectively at scale.”
Jacob Riedel
AI @ Dotwork
Not just access to your frontline tools. Dotwork provides higher-level context for AI agents to operate with.

400+ Integrations, enriched with Dotwork Context

Reach any system with smart integration levels. Connect everything from Jira to data lakes.

Notion
Linear
Jira Software
GitHub
ProductBoard
Google Docs
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Integration Logo 5
Notion
Linear
Jira Software
GitHub
ProductBoard
Google Docs
Integration Logo 1
Integration Logo 2
Integration Logo 3
Integration Logo 4
Integration Logo 5

A foundation for enterprise AI. Agents that coordinate, remember, and operate with a deep understanding of the organization.

Agent-driven Data Collection
Constant awareness of how work is progressing, where risks are forming, and how conditions are changing.
Context-aware Agents
Meaningful insights based on organizational context; who owns what, what work is tied to which goal, where dependencies or drift are forming.
Retain and maintain memory
Dotwork is a knowledge graph that can retain and maintain memory of your organization and its context.
1. Better Data Collection
Make tedous data entry for status updates a thing of the past. Deploy Dotwork agents to handle many asynchronous conversations extracting sttus updates with deep context of those providing the updates..
1. Better Data Collection screenshot
A suite of powerful tools for AI Agents. Create, evaluate, and deploy agents with confidence on a graph-native platform.

Agent

Status Update Agent

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Agent

Status Update Agent

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Status Update Agent

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Custom Agent Swarms

Seamlessly collaborate with AI agents that understand your team's context and goals.

Full control over Context & Behavior

Automatically align work with organizational goals and track progress in real-time.

Agent Evaluations
Live

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.

Graph

Deep Context of Your Ontology

Create and customize AI workflows that match your organization's 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.
Conversational
Agent Type

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.

Conversational agent example

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

Utility
Agent Type

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.

Utility agent example

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

Insight
Agent Type

Agents that analyze data and generate actionable insights for decision making.

Insight agent example

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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