AI & Modern Work
Networks of AI agents working together in production, not just in demos.
We design and deploy AI agents using Copilot Studio and Azure AI Foundry to automate complex processes such as email classification and routing, on-demand reporting, and intelligent approvals. These agents integrate with Microsoft 365 and collaborate through multi-agent orchestration.
Multi-agent orchestration in production.
Not a chatbot, but a network of specialized agents working together. One classifies, another analyzes, another decides, and another executes, with human oversight where it adds value. While much of the market is still focused on single-agent demos, we are already running multi-agent workflows in production.
- Excessive manual workload: repetitive tasks consume valuable time and create bottlenecks.
- Highly variable processes: non-standard cases require judgment that linear workflows cannot provide.
- Dispersed information: data spread across Outlook, Teams, SharePoint, and internal systems.
- Scalability without increasing headcount: handle growing volumes without expanding teams at the same rate.
- Consistency: responses, approvals, and reports based on consistent and auditable criteria.
Daily operations accumulate friction through low-value manual work, decisions that depend on fragmented expertise, and information scattered across multiple systems. AI agents automate this work by applying judgment, not just rules.
We build agent networks on the Microsoft ecosystem you already use. Each technology adds a specific layer, from reasoning to execution, with seamless Microsoft 365 integration.
Conversational assistants for self-service experiences.
Multi-agent orchestration for complex scenarios such as classification, analysis, decision-making, and action execution, with code-level control.
Models for data extraction, text classification, and entity recognition.
Execution of actions and workflows triggered by agents.
GPT-4o and GPT-4.1 language models as the reasoning engine.
Use case assessment and prioritization
Prioritized use cases with the highest ROI and technical feasibility.
Agent design
Inputs and outputs, business rules, exceptions, guardrails, and human approval checkpoints.
Multi-agent orchestration design
Definition of the required agents, their responsibilities, communication flows, and escalation criteria.
Development and deployment
Development in Copilot Studio and/or Azure AI Foundry.
Integrations
Integration with Microsoft 365, Dataverse, and CRM/ERP platforms through connectors.
Governance
Permissions, auditing, DLP policies, and governance best practices.
Ongoing support and continuous improvement
Monitoring, prompt and rule optimization, and ongoing expansion.
We do not deliver presentations. We deliver operational solutions. By project completion, your team is already working with agents in production, backed by complete documentation.
- Production-ready agents integrated into your daily operations.
- Documented workflows including rules, exceptions, and escalation criteria.
- Quality controls: human reviews where they add value.
- Metrics: processed volume, response times, escalation rates, and efficiency gains.
- Operations guide for administration and future expansion of the agent ecosystem.
We design specialized agents that collaborate and operate as part of your daily business processes, not as proof-of-concept demos.
An AI Agent can understand context, prioritize tasks, draft content, classify information, and make decisions. Traditional automation follows a predefined set of rules and workflows. In addition, AI agents can be chained together in multi-agent architectures to handle complex end-to-end business processes.
Copilot Studio is ideal for conversational and autonomous agents integrated with Microsoft 365. Azure AI Foundry is better suited for multi-agent orchestration scenarios that require greater code-level control and customization. Depending on the use case, we may use one, the other, or a combination of both.