Building the Agentic Enterprise

Enterprise transformation through AI-enabled modernization

An enterprise knows more than any single system can see. Its knowledge lives across applications, documents, processes, and people.

Dataverse Research builds the agents and architectures that connect this knowledge to action—within the systems where work happens. We approach productivity as an architectural possibility: bringing knowledge, judgment, and execution into closer relation, extending what people and organizations can accomplish.

AI architecture team reviewing connected enterprise workflows
  • Microsoft Foundry

  • Microsoft Agent Framework

  • Copilot Studio

  • Microsoft Fabric

  • Power Platform

  • Dynamics 365

  • Microsoft Azure

FROM DATA TO ACTION

Turn Enterprise Data into AI Capability

Intelligent Agents

Build Agents That Understand, Decide, and Act

Context gives intelligence purpose. An agent’s usefulness depends on what it can know, how it interprets the task, and the authority it has to act. We build agents grounded in enterprise knowledge, connected to the tools of the business, and designed to exercise judgment within defined boundaries.

Conceptual agent architecture connecting enterprise knowledge, policies, business state, tools, and human review

Intelligent Agents

Build Agents That Understand, Decide, and Act

Context gives intelligence purpose. An agent’s usefulness depends on what it can know, how it interprets the task, and the authority it has to act. We build agents grounded in enterprise knowledge, connected to the tools of the business, and designed to exercise judgment within defined boundaries.

Conceptual agent architecture connecting enterprise knowledge, policies, business state, tools, and human review

Intelligent Agents

Build Agents That Understand, Decide, and Act

Context gives intelligence purpose. An agent’s usefulness depends on what it can know, how it interprets the task, and the authority it has to act. We build agents grounded in enterprise knowledge, connected to the tools of the business, and designed to exercise judgment within defined boundaries.

Conceptual agent architecture connecting enterprise knowledge, policies, business state, tools, and human review

Connected Agentic Workflows

Coordination is an architectural problem

Work passes between people, applications, and organizations. We design how agents participate in that work: sharing context, handing off responsibility, preserving state, and recovering when execution breaks down.

Conceptual workflow architecture connecting people, agents, business systems, and shared context

Connected Agentic Workflows

Coordination is an architectural problem

Work passes between people, applications, and organizations. We design how agents participate in that work: sharing context, handing off responsibility, preserving state, and recovering when execution breaks down.

Conceptual workflow architecture connecting people, agents, business systems, and shared context

Connected Agentic Workflows

Coordination is an architectural problem

Work passes between people, applications, and organizations. We design how agents participate in that work: sharing context, handing off responsibility, preserving state, and recovering when execution breaks down.

Conceptual workflow architecture connecting people, agents, business systems, and shared context

Private AI & Model Development

Intelligence shaped by the domain

Specialized work carries its own language, evidence, and standards of judgment. We develop and adapt AI around those requirements, with evaluation and deployment designed for the environment in which it will operate.

Illustrative private computing infrastructure in a controlled enterprise environment

Private AI & Model Development

Intelligence shaped by the domain

Specialized work carries its own language, evidence, and standards of judgment. We develop and adapt AI around those requirements, with evaluation and deployment designed for the environment in which it will operate.

Illustrative private computing infrastructure in a controlled enterprise environment

Private AI & Model Development

Intelligence shaped by the domain

Specialized work carries its own language, evidence, and standards of judgment. We develop and adapt AI around those requirements, with evaluation and deployment designed for the environment in which it will operate.

Illustrative private computing infrastructure in a controlled enterprise environment

Engineering Complex Systems That Work

Selected engineering experience and ongoing applied research.

Connected Service Operations

Engineering Experience

Connecting service operations across Dynamics 365, Power Platform, Microsoft Dataverse, and enterprise integrations.

Illustrative operations workspace showing service requests and coordinated workflows
Illustrative operations workspace showing service requests and coordinated workflows

Reliable Agent Execution

Engineering Focus

Designing execution structures that coordinate agents and services while keeping state, dependencies, and recovery visible.

Illustrative execution console showing checkpoints, recovery, preserved state, and audit records
Illustrative execution console showing checkpoints, recovery, preserved state, and audit records

Inspectable AI Reasoning

Ongoing Research

Exploring how structured representations and explicit rules can make AI reasoning easier to inspect and evaluate.

Conceptual evidence dossier connecting source material and explicit rules to a supported conclusion
Conceptual evidence dossier connecting source material and explicit rules to a supported conclusion

Where the Architecture Matters

Some problems sit between systems, disciplines, and organizational boundaries. They require a view of the whole: how knowledge moves, how decisions are made, and how actions change the state of the business.

Some problems sit between systems, disciplines, and organizational boundaries. They require a view of the whole: how knowledge moves, how decisions are made, and how actions change the state of the business.

Some problems sit between systems, disciplines, and organizational boundaries. They require a view of the whole: how knowledge moves, how decisions are made, and how actions change the state of the business.

Those are the problems we want to understand.

Those are the problems we want to understand.

Those are the problems we want to understand.

Dataverse Research

1 Broadway Ste 14, Cambridge, MA 02142

© 2026 Dataverse Research Corporation

This website and its content are maintained by AI agents under human supervision. Dataverse Research Corporation is an independent company and a member of the Microsoft AI Cloud Partner Program. This site is not operated by Microsoft.

Dataverse Research

1 Broadway Ste 14, Cambridge, MA 02142

© 2026 Dataverse Research Corporation

This website and its content are maintained by AI agents under human supervision. Dataverse Research Corporation is an independent company and a member of the Microsoft AI Cloud Partner Program. This site is not operated by Microsoft.

Dataverse Research

1 Broadway Ste 14, Cambridge, MA 02142

© 2026 Dataverse Research Corporation

This website and its content are maintained by AI agents under human supervision. Dataverse Research Corporation is an independent company and a member of the Microsoft AI Cloud Partner Program. This site is not operated by Microsoft.