AI Agents

Build Copilot AI Agents That Deliver Real Business Impact

We help businesses get the most out of Microsoft Copilot Studio - from strategy and use case design to implementation and scale.

Whether you’re just exploring AI agents or ready to build your first one, our workshops help you turn potential into performance.

talk to a rocker

75%

Less time on manual work

35%

Fewer repetitive tasks

79%

Are already using AI agents

30%

Faster custom builds

Why AI Agents Fail? (and What to Do Instead)

Most AI agents don’t fail because the tech doesn’t work.

They fail because they’re built in isolation - no data context, no governance, no connection to real business needs.

Microsoft Copilot Studio makes it easy to create a working prototype. But if you want something that lasts (something people actually use) you need more than a tool.

You need:

The right starting point (high-friction process, clear value)
Clean, connected data
Architecture that scales
Guardrails for risk, compliance and performance

That’s what we help with. From strategy to deployment, we design AI agents that don’t just look good in a demo - they hold up in the real world.

design your ai agent

Copilot AI Agent Use Cases

Here’s what we’ve seen them do (and helped build) in real organizations.

HR & Talent Management

Interview Screening Agent Reviews resumes, highlights top candidates, and automatically schedules interviews with hiring managers.

Onboarding Agent Kicks off personalized onboarding journeys across HR, IT, and facilities - tailored to role, location, and start date.

Resume Review & Action Agent Filters applicants using predefined criteria, flags promising candidates, and notifies recruiters instantly.

Finance & Operations

Expense Agent Automates expense report validation, policy checks, and multi-level approval routing.

Invoice Intake Agent Extracts, validates, and processes invoice data from PDFs or emails - ready for your ERP system.

Procurement Agent Handles purchase requests, vendor lookups, and order tracking - all in one conversation.

Sales & Customer Success

Sales Handoff Agent Transitions qualified leads into accounts, capturing context and next steps for the Customer Success team.

Web Customer Meeting Agent Summarises meetings, captures action items, and auto-generates follow-up emails or CRM updates.

Support Agent Delivers instant, AI-powered responses to common support questions - and gets smarter with every resolved case.

Project Management & Reporting

Project Status Report Agent Pulls real-time updates from tools like DevOps, Jira, or Planner to generate project summaries for stakeholders.

RTI Agent Integrates with Microsoft Fabric to surface key metrics and trends without digging through dashboards.

Safety Agent Automates incident capture, documentation, and escalation workflows to support compliance and rapid response.

Advanced Use Cases: Orchestrated & Persona-Based Agents

Some AI agents do more than handle single tasks - they coordinate multiple actions, systems, or teams. These orchestrated agents are ideal for cross-functional processes, while persona-based agents tailor automation to individual roles across your business.

Examples Include:

Persona Agent

Delivers relevant knowledge, tools, and actions based on the user’s role - whether they’re in Sales, Finance, or HR. Agents can be chained together for smarter, reusable workflows.

Sales Agent

Tracks opportunities, summarises contracts, and keeps your CRM up to date - without manual input.

Time Off Agent

Checks remaining holiday balance, logs requests, and routes them for approval - all within Teams.

Innovation Hub Agent

Crowdsources ideas from employees, gathers feedback, and supports the evaluation process from idea to implementation.

Where to Start

You’ve seen what AI agents can do. Now it’s time to build your own - with expert guidance, hands-on prototyping, and support that’s grounded in your business reality.

AI Data Readiness Assessment

AI is only as good as the data behind it. This workshop shows you where yours actually stands, and what to fix first.

What you get:

A plain-English AI readiness score for your data environment

A clear view of the gaps in quality, governance, and architecture

A prioritized action plan, ordered by what to fix first

Clarity on which AI use cases are viable for you right now

Assess your Data Readiness

Copilot Studio Governance & Compliance Framework

Copilot Studio shouldn't roll out faster than the controls around it. This puts the roles, guardrails, and compliance policies in place up front, so you scale AI agents without losing visibility or handing security a mess to retrofit.

What you get:

A governance framework built around how you actually use Copilot Studio

Clear roles, permissions, and guardrails so agents don't go rogue

Compliance playbook covering data handling, audit logging, and risk controls

Operational handbook for monitoring and managing agents long-term

Get Your Governance Framework

Well-Architected Agent Framework

Most AI initiatives stall before they ever ship. This 2–3 week workshop finds your best opportunity, builds a working prototype, and gives you a plan to scale it.

What you get:

An audit of your automation opportunities, ranked by impact

A working agent prototype, built and tested in your environment

An agent framework matched to your business and tech stack

A scaling roadmap so you know exactly what to build next

Explore the Agent Framework

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Real Results: $4M in ROI Identified

An enterprise client uncovered $4 million in ROI ( including $2.5 million from their support team alone) by identifying automation opportunities through this approach.

This short video shows what’s possible when you align the right processes with the right tools.

Microsoft Copilot Studio Agents FAQs

What’s the difference between an AI agent and a chatbot?

Chatbots typically follow scripts or simple decision trees. AI agents, built with Microsoft Copilot Studio, can understand context, pull data from connected systems, and take meaningful actions - like routing requests, triggering workflows, or summarising information.

How much can I actually automate with an AI agent?

More than you think, but it depends on your setup. AI agents can handle anything from answering FAQs and routing tickets to kicking off approval workflows or fetching reports. The real value comes when they’re connected to your systems and tailored to your processes.

Do I need Copilot for Microsoft 365 to use Copilot Studio?

No, Microsoft Copilot Studio is a separate tool within the Power Platform. You don’t need Copilot for M365 to start building your own custom AI agents.

Can AI agents connect to our existing systems (like Salesforce, SharePoint, or SAP)?

Yes, Copilot Studio supports integration with hundreds of Microsoft and third-party services, especially when paired with Power Automate. Some integrations may need custom configuration or connectors, which is where we can help.

How do AI agents know what to say or do?

They rely on triggers, topics, knowledge sources (like SharePoint or Dataverse), and business rules you define. You can also use AI to summarise content or generate responses, and include human oversight where needed.

Is it really low-code? Can our team build these on their own?

Copilot Studio is built for low-code development - but successful, scalable solutions usually require more than just the out-of-the-box UI. That’s where we help: with architecture, integrations, governance, and all the stuff that makes an agent actually usable across your organization.