Eliminate Data Entry, Not Strategic Context
Today, we’re announcing major AI capabilities that extend Dotwork’s role as the enterprise operating system for humans and AI agents alike

Our vision is to eliminate data entry for teams, provide a tailored set of agents as strategic partners for leaders, and set Dotwork up as the contextual anchor for aligning agents to strategy.
With the capabilities we’re launching this year, we’re eliminating the need for humans to manually update status, pairing leaders with tailored orchestration agents that know them and their organizations, as well as introducing a rich agent studio for building a suite of strategic partners that can provide guidance, make sense of data, and take action in Dotwork.
Status updates: Your teams should never leave the tools they’re in
The problem: Data entry is painful and wasteful. Teams spend weeks re-entering the same status updates, key result check-ins, and roadmap summaries — 90% of which is repeated information. It’s copy-and-paste hell that provides little value to the people doing the work.
What Dotwork does: Instead of nagging teams for updates, Dotwork agents gather information directly through Slack conversations, using the context it already has to fill in the blanks and create structured updates automatically.
Why it matters: Frontline teams get out of the “regrettable data entry” loop, while leaders still receive the reporting and alignment they need. Less paperwork, more progress.

Tailored Orchestrator Agents: Powerful agents that know you and your organization, woven into the Dotwork experience.
The problem: AI often feels like a bolt-on chatbot that’s disconnected from actual workflows, the real strategy, and you.
What Dotwork does: Dot orchestrates your agents and tools, surfacing insights, exploring the strategy graph, and helping you do tasks in Dotwork. It combines general-purpose assistance with the ability to deploy purpose-built agents for specific workflows, all inside the Dotwork experience.
Why it matters: Instead of juggling fragmented bots, you gain a single, strategy-aware partner tailored to you with access to your frontline tools.

Agent Studio: Build your own enterprise-ready agents to consume, update, and interact with your strategic context.
The problem: Most AI agents today feel DIY . They’re powerful in demos but too fragile, siloed, or insecure for enterprise adoption. They lack governance and can’t work seamlessly across tools.
What Dotwork does: Agent Studio provides a secure environment to design, test, and deploy fit-for-purpose agents. With system-level prompt access, evaluation layers, and governance controls (powered by AWS Bedrock, Claude/OpenAI cloud models, or your own models) you can build agents that interact with context across all your tools.
Why it matters: Enterprises can finally move from experimentation to adoption. Instead of scattered assistants, you get a governed ecosystem of agents that are safe, connected, and enterprise-ready.

Why AI Needs Operating Models, Not Just Data
Humans can operate in implicit environments—filling in gaps through conversation and context. AI agents cannot. Without an explicit operating model, they guess, hallucinate, and misalign.
Dotwork solves this by acting as a digital twin of your organization’s way of working: strategy, priorities, dependencies, and progress. It provides agents with the structured context they need, while giving humans a clear, unified command hub.
This is what makes Dotwork different. The operating knowledge graph and adaptive ontology is the missing foundation for scaling AI inside the enterprise.
Dotwork has always been about connecting the dots in complex operating environments. Now, those same capabilities make it the natural foundation for AI-augmented organizations.