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Build AI agents that can do useful work

Design secure AI agents that can reason, use tools, connect to business systems and support real workflows. We help organisations build agentic automation using Microsoft Copilot Studio, Azure AI Foundry, OpenAI, Claude, custom connectors and enterprise data sources.

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Move from chat to action with secure AI agents

AI Agent Consulting Services

AI agents are most useful when they can support real work, not just answer questions. The right agent can search knowledge, call tools, summarise information, trigger workflows, update systems, assist users and hand over when human judgement is needed.

Synenza helps organisations design and deliver practical AI agents across the Microsoft ecosystem and broader AI platforms. That can include Copilot Studio agents, Azure AI Foundry based agents, OpenAI or Claude powered workflows, custom connectors, enterprise data access and secure internal automation patterns.

What we deliver

Built for the work — not for the deck.

Strategy

AI agent opportunity assessment

Identify where AI agents can create practical value across business processes, internal operations, knowledge work, customer service, field teams, sales support and administrative workflows.

Platforms

Agent platform selection

Choose the right platform for the job, including Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, OpenAI, Claude and other AI services based on security, integration and delivery needs.

Tools

Tool use and custom connectors

Connect agents to approved tools and systems such as Dynamics 365, Dataverse, SharePoint, HubSpot, Notion, internal applications, APIs and workflow platforms.

Automation

Agentic automation design

Design agents that can plan steps, retrieve information, call actions, escalate exceptions and support users through guided workflows without exposing sensitive data unnecessarily.

Engineering

Agent frameworks and app delivery

Build agents and supporting applications using suitable frameworks, secure coding practices, reusable components, controlled environments and deployment pipelines.

Enablement

Citizen developer and catalog enablement

Support governed creation of AI workflows, internal tools and agent-assisted apps with guardrails, approval processes, templates, pipelines and a secure corporate catalog.

How we work

A measured, honest path from idea to production.

Identify

Find the right agent use cases by reviewing business processes, repetitive work, tool usage, data access needs and expected outcomes.

Design

Define the agent pattern, platform, tools, data sources, security model, human handoff points and operating controls.

Build

Develop the agent, connect approved systems, configure workflows, test tool actions and validate responses against business scenarios.

Enable

Prepare users, administrators and makers with guidance, governance, deployment pipelines, monitoring and continuous improvement processes.

Use Cases

Common business scenarios.

Internal operations agent

An agent that helps teams check policies, retrieve records, summarise documents, start approvals, update systems and complete routine operational tasks.

Sales and service assistant

An agent connected to CRM, knowledge sources and customer history that helps teams prepare responses, summarise interactions and identify next actions.

AI workflow and tool agent

An agent that connects to business tools such as HubSpot, Notion, SharePoint, Dataverse, APIs and internal applications to support repeatable work across systems.

Outcomes you can defend

What good looks like.

A clear AI agent strategy aligned to business priorities, security requirements and practical use cases.
A recommended platform approach across Copilot Studio, Azure AI Foundry, Azure OpenAI, OpenAI, Claude or other suitable AI services.
Secure agent designs that connect to enterprise data, business systems, APIs and approved tools.
Reusable patterns for agentic automation, custom connectors, tool use and workflow orchestration.
Governed pipelines for building, testing, publishing and managing AI agents and internal AI apps.
Enablement guidance for business users, makers, administrators and technology teams.

Frequently asked

The questions clients ask first.

What is an AI agent?

An AI agent is a software capability that can understand a request, reason through steps, use tools, access approved data and help complete tasks. Unlike a basic chatbot, an agent can support actions and workflows when designed with the right controls.

Can Synenza build agents outside Microsoft Copilot Studio?

Yes. Synenza can help design and build AI agents using Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, OpenAI, Claude and other suitable platforms depending on the use case, security requirements and integration needs.

Can AI agents connect to business tools like HubSpot, Notion or internal systems?

Yes. AI agents can connect to approved business tools through APIs, custom connectors, workflow platforms and integration services. The design should include identity, permissions, logging, error handling and security controls.

How do you keep company data secure when using AI agents?

Secure agent design includes identity controls, role-based access, approved data sources, tenant boundaries, logging, monitoring, governance policies and clear rules for what the agent can and cannot do.

Can AI agents support citizen developers?

Yes. With the right governance, templates, environments, approval processes and pipelines, organisations can enable controlled creation of AI workflows and internal apps while reducing unmanaged experimentation.

Do AI agents require custom model training?

Not always. Many agent use cases are better served through retrieval, grounding, prompt design, workflow integration and tool use. Fine-tuning or custom model work can be considered when there is a clear need and enough quality data to support it.

Let's scope a first conversation.

Tell us what you're trying to do. We'll come back with a point of view, not a sales pitch.

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