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AI that actually helps your team
Microsoft Copilot implementation, Power Platform, and practical AI solutions for businesses ready to work smarter.
What is Microsoft Copilot for business?
Microsoft Copilot is an AI assistant built into Microsoft 365 apps including Word, Excel, Outlook, Teams, and PowerPoint. It uses large language models to draft documents, summarise meetings, analyse spreadsheets, and create presentations from natural language prompts. The licence costs approximately $30 USD per user per month on top of Microsoft 365 E3 or E5. Most businesses see the best ROI by starting with a pilot of 5–10 heavy users before rolling out company-wide.
AI is everywhere right now. Every vendor is promising it will transform your business overnight. Most of that is noise. What actually matters is finding the specific tools that help your people do their jobs better, and implementing them properly.
We focus on Microsoft's AI ecosystem because it integrates with the tools your team already uses. Copilot sits inside Word, Excel, Outlook, and Teams. Power Platform lets you automate repetitive processes without writing code. These aren't science experiments. They're practical tools that save time when they're set up correctly.
The hard part isn't the technology. It's understanding how your team actually works, identifying where AI can genuinely help, and rolling it out in a way that people will actually adopt. That's where we come in.
What we've learned: After helping dozens of organisations adopt AI tools, success comes from starting small, measuring results, and expanding what works. The businesses that try to transform everything at once usually end up with expensive licenses nobody uses.
Power Platform
Automation without the complexity
Low-code tools that solve real business problems.
Power Platform is Microsoft's low-code toolkit for building business applications and automating workflows. Power Automate handles repetitive tasks. Power Apps creates custom applications. Power BI turns your data into dashboards. Together, they let you solve business problems that would otherwise require custom development.
Approval workflows
Route purchase orders, leave requests, and expense claims automatically. No more chasing signatures.
Data entry automation
Forms that populate multiple applications at once, eliminating duplicate entry and reducing errors.
Alert systems
Notify the right people when specific conditions occur in your business data. No more missed deadlines.
Scheduled reports
Reports that generate and distribute themselves. Your team gets insights without lifting a finger.
System integrations
Connect systems that don't talk to each other natively. Your data flows where it needs to go.
Start with one process. Pick something that consumes time and happens frequently. Automate it. Measure the time saved. Then do another. This incremental approach builds momentum and delivers value at each step.
Local AI
AI that stays on your premises
Full control over your data while leveraging AI capabilities.
Not everything belongs in the cloud. For organisations handling sensitive data - legal documents, medical records, financial information, or proprietary research - sending content to external AI services isn't always acceptable. Local AI changes that equation.
We deploy AI models that run entirely on your infrastructure. Your data never leaves your network. You get the productivity benefits of AI - document processing, content analysis, summarisation, and intelligent search - without the compliance concerns of cloud-based services.
Document processing
Extract information from contracts, invoices, and forms. Automate data entry without sending documents to external services.
Intelligent search
Search across your document repositories using natural language. Find what you need without remembering exact keywords.
Content summarisation
Summarise long documents, meeting transcripts, and email threads. Get the key points without reading everything.
Data sovereignty
Meet regulatory requirements that mandate local data processing. Your AI, your infrastructure, your control.
Hardware requirements vary. Local AI can run on existing server infrastructure or dedicated hardware depending on your use case. We assess your needs and recommend the right approach - sometimes that means cloud AI with proper data governance is actually the better fit.
Our approach
Practical AI, not experiments
We're not here to sell you on AI hype. We're here to help you use these tools productively. That means being honest about what they can and can't do, and focusing on implementations that deliver measurable value.
Every AI project starts with understanding your actual workflows. What tasks consume time? Where do errors happen? What would your team do with an extra few hours a week? We work backwards from those answers to find the right tools and approaches.
We also think about adoption. The best AI implementation is worthless if people don't use it. Training, change management, and ongoing support are part of every engagement. We measure success by whether your team actually gets value, not by how many features we've enabled.
50+ Copilot deployments. We've seen teams save around 30% of their time on document-heavy work. Typical timeline from pilot to full rollout is about 4 weeks. But the numbers only matter if the tools actually get used, which is why we spend as much time on adoption as we do on technical implementation.
Get Started
Book an AI Discovery Session
30 minutes to understand your workflows and identify where AI can genuinely help.
