ENGINEERING THE FUTURE OF AI
Build the Agentic Enterprise
We build AI agents and agentic workflows across enterprise data and systems.
Enterprise AI Orchestration
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Connected Workflows
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Enterprise Data Agents
Private Model Inference
Business Application Workflows
Microsoft Cloud Integration
ENGINEERING THE FUTURE OF AI
Build the Agentic Enterprise
We build AI agents and agentic workflows across enterprise data and systems.
Enterprise AI Orchestration
Connected Workflows
Enterprise Data Agents
Private Model Inference
Business Application Workflows
Microsoft Cloud Integration
ENGINEERING THE FUTURE OF AI
Build the Agentic Enterprise
We build AI agents and agentic workflows across enterprise data and systems.
Enterprise AI Orchestration
Connected Workflows
Enterprise Data Agents
Private Model Inference
Business Application Workflows
Microsoft Cloud Integration
Microsoft IQ
Work IQ
Fabric IQ
Foundry IQ
Web IQ
Microsoft Foundry
Microsoft Agent Framework
Microsoft Copilot Studio
Microsoft Fabric
Power Platform
Dynamics 365
Microsoft Azure
Microsoft IQ
Work IQ
Fabric IQ
Foundry IQ
Web IQ
Microsoft Foundry
Microsoft Agent Framework
Microsoft Copilot Studio
Microsoft Fabric
Power Platform
Dynamics 365
Microsoft Azure
Microsoft IQ
Work IQ
Fabric IQ
Foundry IQ
Web IQ
Microsoft Foundry
Microsoft Agent Framework
Microsoft Copilot Studio
Microsoft Fabric
Power Platform
Dynamics 365
Microsoft Azure
Microsoft IQ
Work IQ
Fabric IQ
Foundry IQ
Web IQ
Microsoft Foundry
Microsoft Agent Framework
Microsoft 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
We engineer production AI agents with Microsoft Agent Framework, Microsoft Foundry, and Copilot Studio—grounded in enterprise context, connected to tools, and designed to act across business systems.
Enterprise data, context, and knowledge grounding
Microsoft Agent Framework, Foundry & Copilot Studio
Governed actions, evaluation & production deployment
ORDER OPERATIONS AGENT
Enterprise policy and approved tools verified.
Update order #1048 and notify account team.
OP
Approved context retrieved
ERP API → Order updated
CRM API → Team notified
Exceptions → Human review
Audit trail · Policy checks
Audit trail · Policy checks
ORDER OPERATIONS AGENT
Enterprise policy and approved tools verified.
Update order #1048 and notify account team.
OP
Approved context retrieved
ERP API → Order updated
CRM API → Team notified
Exceptions → Human review
Audit trail · Policy checks
Audit trail · Policy checks
ORDER OPERATIONS AGENT
Enterprise policy and approved tools verified.
Update order #1048 and notify account team.
OP
Approved context retrieved
ERP API → Order updated
CRM API → Team notified
Exceptions → Human review
Audit trail · Policy checks
Audit trail · Policy checks
AGENT WORKFLOW
Policy controlled
Data + knowledge
Approved context
CRM / ERP APIs
Scoped tool access
Human review
Exception approval
Business apps
Governed actions
Orchestrator agent
Task · Policy · Routing
Execution
0%
0%
AGENT WORKFLOW
Policy controlled
Data + knowledge
Approved context
CRM / ERP APIs
Scoped tool access
Human review
Exception approval
Business apps
Governed actions
Orchestrator agent
Task · Policy · Routing
Execution
0%
0%
AGENT WORKFLOW
Policy controlled
Data + knowledge
Approved context
CRM / ERP APIs
Scoped tool access
Human review
Exception approval
Business apps
Governed actions
Orchestrator agent
Task · Policy · Routing
Execution
0%
0%
CONNECTED AGENTIC WORKFLOWS
Connect Agents to the Systems That Run Your Business
We connect and govern AI agents with Microsoft Agent 365, Microsoft IQ, Dynamics 365, Power Platform, and enterprise APIs—enabling coordinated work across enterprise systems and B2B ecosystems.
Multi-agent and workflow orchestration
Microsoft IQ, Dynamics 365 & Power Platform integration
Agent 365 governance, human oversight & controlled execution
PRIVATE AI & MODEL DEVELOPMENT
Build Private AI Around Your Data and Domain
We develop and adapt domain-specific AI models with Microsoft Foundry, deploy them within controlled enterprise environments, and evaluate them against the work they are built to perform.
Microsoft Foundry model development and adaptation
Private deployment, enterprise data, and access controls
Evaluation, benchmarking, and continuous improvement
MICROSOFT FOUNDRY · PRIVATE AI
Adapted
Domain model
98.4%
Task quality
1.2s
P95 latency
Illustrative evaluation · Domain task benchmarks
Domain data
Approved
Model adaptation
Benchmarked
Private deployment
Access scoped
MICROSOFT FOUNDRY · PRIVATE AI
Adapted
Domain model
98.4%
Task quality
1.2s
P95 latency
Illustrative evaluation · Domain task benchmarks
Domain data
Approved
Model adaptation
Benchmarked
Private deployment
Access scoped
MICROSOFT FOUNDRY · PRIVATE AI
Adapted
Domain model
98.4%
Task quality
1.2s
P95 latency
Illustrative evaluation · Domain task benchmarks
Domain data
Approved
Model adaptation
Benchmarked
Private deployment
Access scoped
SELECTED WORK
Engineering Complex Systems That Work
Selected client work, engineering experience, and ongoing applied research.
Enterprise Systems
Agent Systems
Applied AI Research
CONNECTED SERVICE SYSTEMS
Case data
Knowledge
Applications
Service orchestration
Data
Logic
APIs
Dynamics 365 · Power Platform · Dataverse
Cases
Routing
Workflows
Modernizing Complex Service Operations with Microsoft Business Applications
Designed and implemented connected service workflows across Dynamics 365, Power Platform, Dataverse, routing, knowledge, and enterprise integrations for complex regulated operations.
DYNAMICS 365 + POWER PLATFORM
Enterprise applications, automation, and integration
FOCUS
Customer service transformation, workflow automation, data integration, and AI-assisted operations.
DETERMINISTIC AGENT RUNTIME
Task queue
Scheduler
Events
Agent coordination
Agent A
Agent B
Agent C
Explicit state · constrained execution
Execute
Recover
Observe
Deterministic Multi-Agent Execution for Complex Operational Workflows
Architected agent-based execution systems using explicit task queues, constrained scheduling, event-driven coordination, and compensation logic for high-reliability operational workflows.
AGENT ARCHITECTURE
Deterministic execution, orchestration, and recovery
FOCUS
Agent coordination, constrained scheduling, exception handling, observability, and reproducible execution.
NEURAL + SYMBOLIC ARCHITECTURE
Domain data
Models
Rules
Structured reasoning
Learned
Symbolic
Reasoning
Representations · rules · model inference
Trace
Evaluate
Audit
Advancing Structured and Auditable Agent Reasoning
Ongoing research explores neurosymbolic methods that combine learned models with explicit representations, rules, and structured reasoning for more traceable and testable AI systems.
NEUROSYMBOLIC AI
Structured reasoning, evaluation, and auditability
RESEARCH FOCUS
Agent reasoning, private models, structured representations, and methods for making AI decisions easier to inspect and evaluate.
SELECTED WORK
Engineering Complex Systems That Work
Selected client work, engineering experience, and ongoing applied research.
Enterprise Systems
Agent Systems
Applied AI Research
CONNECTED SERVICE SYSTEMS
Case data
Knowledge
Applications
Service orchestration
Data
Logic
APIs
Dynamics 365 · Power Platform · Dataverse
Cases
Routing
Workflows
Modernizing Complex Service Operations with Microsoft Business Applications
Designed and implemented connected service workflows across Dynamics 365, Power Platform, Dataverse, routing, knowledge, and enterprise integrations for complex regulated operations.
DYNAMICS 365 + POWER PLATFORM
Enterprise applications, automation, and integration
FOCUS
Customer service transformation, workflow automation, data integration, and AI-assisted operations.
DETERMINISTIC AGENT RUNTIME
Task queue
Scheduler
Events
Agent coordination
Agent A
Agent B
Agent C
Explicit state · constrained execution
Execute
Recover
Observe
Deterministic Multi-Agent Execution for Complex Operational Workflows
Architected agent-based execution systems using explicit task queues, constrained scheduling, event-driven coordination, and compensation logic for high-reliability operational workflows.
AGENT ARCHITECTURE
Deterministic execution, orchestration, and recovery
FOCUS
Agent coordination, constrained scheduling, exception handling, observability, and reproducible execution.
NEURAL + SYMBOLIC ARCHITECTURE
Domain data
Models
Rules
Structured reasoning
Learned
Symbolic
Reasoning
Representations · rules · model inference
Trace
Evaluate
Audit
Advancing Structured and Auditable Agent Reasoning
Ongoing research explores neurosymbolic methods that combine learned models with explicit representations, rules, and structured reasoning for more traceable and testable AI systems.
NEUROSYMBOLIC AI
Structured reasoning, evaluation, and auditability
RESEARCH FOCUS
Agent reasoning, private models, structured representations, and methods for making AI decisions easier to inspect and evaluate.
SELECTED WORK
Engineering Complex Systems That Work
Selected client work, engineering experience, and ongoing applied research.
Enterprise Systems
Agent Systems
Applied AI Research
CONNECTED SERVICE SYSTEMS
Case data
Knowledge
Applications
Service orchestration
Data
Logic
APIs
Dynamics 365 · Power Platform · Dataverse
Cases
Routing
Workflows
Modernizing Complex Service Operations with Microsoft Business Applications
Designed and implemented connected service workflows across Dynamics 365, Power Platform, Dataverse, routing, knowledge, and enterprise integrations for complex regulated operations.
DYNAMICS 365 + POWER PLATFORM
Enterprise applications, automation, and integration
FOCUS
Customer service transformation, workflow automation, data integration, and AI-assisted operations.
DETERMINISTIC AGENT RUNTIME
Task queue
Scheduler
Events
Agent coordination
Agent A
Agent B
Agent C
Explicit state · constrained execution
Execute
Recover
Observe
Deterministic Multi-Agent Execution for Complex Operational Workflows
Architected agent-based execution systems using explicit task queues, constrained scheduling, event-driven coordination, and compensation logic for high-reliability operational workflows.
AGENT ARCHITECTURE
Deterministic execution, orchestration, and recovery
FOCUS
Agent coordination, constrained scheduling, exception handling, observability, and reproducible execution.
NEURAL + SYMBOLIC ARCHITECTURE
Domain data
Models
Rules
Structured reasoning
Learned
Symbolic
Reasoning
Representations · rules · model inference
Trace
Evaluate
Audit
Advancing Structured and Auditable Agent Reasoning
Ongoing research explores neurosymbolic methods that combine learned models with explicit representations, rules, and structured reasoning for more traceable and testable AI systems.
NEUROSYMBOLIC AI
Structured reasoning, evaluation, and auditability
RESEARCH FOCUS
Agent reasoning, private models, structured representations, and methods for making AI decisions easier to inspect and evaluate.