If you're reading this, you've probably already decided you need a governed way for your team to use AI. The question is which platform to use. And if you're a Microsoft shop, the obvious first thought is Copilot Studio — you already pay for M365, it's in the same ecosystem, and Microsoft is a name your board trusts.
That's a reasonable starting point. Let's look at whether it's the right finishing point.
This is an honest comparison. Copilot Studio is a good product for the right organisation. TaylinAI is a different product for a different situation. I'll be specific about where each one wins.
The quick version
Copilot Studio is the right choice if your organisation lives entirely inside the Microsoft ecosystem, you have IT resource to manage Power Platform environments, you're comfortable with consumption-based pricing, and your timeline is measured in months rather than days.
TaylinAI is the right choice if your documents live outside SharePoint (or across multiple sources), you need governance included rather than bolted on, you want flat monthly pricing, or you need to be live this week.
Most organisations I speak to fall into the second category, but not all. Let's go through the detail.
Pricing: flat vs consumption
This is where the biggest misunderstanding lives.
Copilot Studio uses a credit-based consumption model. A tenant licence costs $200 per month for 25,000 Copilot Credits, or you can pay as you go at $0.01 per credit. Every interaction consumes credits — a simple scripted response costs 1 credit, a generative AI response costs 2, an agent action costs 5, and anything grounded in your tenant's Microsoft Graph data costs 10 credits per interaction.
That means a single AI query that searches your company data and returns a generative answer could consume 12 credits or more. At 25,000 credits per month, a team of 10 people each making 20 queries a day would burn through the allocation in roughly 10 working days. You'd then need additional credit packs or move to pay-as-you-go overage pricing.
And that's before accounting for the prerequisite licensing. Copilot Studio requires an underlying M365 licence. If you want M365 Copilot integration (the AI features in Word, Excel, Outlook), that's an additional $30 per user per month on top of your existing M365 subscription.
TaylinAI uses flat monthly pricing. The Starter plan is £75 per month for the team. The Professional plan is £125 per month. That includes governance features, audit trails, and all document source connections. There's no per-user fee, no per-message fee, and no consumption credits to monitor. Your cost next month is the same as this month.
For a team of 10, the monthly cost comparison looks roughly like this: Copilot Studio with M365 Copilot integration could run to $500 or more per month (credit packs plus per-user Copilot licences), before accounting for the Power Platform environment costs. TaylinAI Professional is £125 per month, total.
Setup time: afternoon vs quarter
This is the difference that matters most in practice.
Copilot Studio requires a Power Platform environment, which needs an administrator to configure. It requires DLP (data loss prevention) policies to be set up. It requires capacity allocation. If you want to connect to data sources beyond SharePoint, you'll need connectors, which may require Premium Power Platform licences. The whole process typically involves IT, takes weeks to months for a governed deployment, and requires someone who understands the Power Platform administration model.
TaylinAI is a web application. You sign up, connect your document sources, build an agent, and you're live. One person, one afternoon. There is no environment to configure, no DLP policies to set up, and no IT project to manage. The governance — audit trails, approval workflows, PII detection — is already there from the first login.
This matters particularly for organisations where the IT team is small, stretched, or outsourced. If your IT resource is a managed service provider who charges by the hour, a Copilot Studio deployment becomes a professional services engagement on top of the licensing costs.
Document sources: Microsoft-only vs everywhere
Copilot Studio connects natively to SharePoint and Microsoft Dataverse. Connecting to data outside the Microsoft ecosystem requires building custom connectors, using Power Automate flows, or configuring Microsoft Graph connectors — all of which add complexity and may require Premium licensing.
TaylinAI connects to SharePoint, Google Drive, Dropbox, Box, Confluence, and accepts direct file uploads from any file server. One agent can search across all of them simultaneously. No connectors to build, no Premium licences, no migration.
This is the single biggest differentiator for organisations that don't live entirely inside Microsoft. If your firm uses Google Workspace, or your documents are spread across multiple platforms, or you have legacy file servers that haven't been migrated to the cloud — Copilot Studio can't help you without significant additional work. TaylinAI connects to where your documents already are.
AI models: locked vs flexible
Copilot Studio uses Microsoft's models — currently GPT-based through Azure OpenAI. You use what Microsoft provides.
TaylinAI supports Claude (Anthropic), GPT (OpenAI), and Gemini (Google). You can use TaylinAI's API keys or bring your own. Different agents can use different models based on what works best for the task.
Why does this matter? Model performance varies by use case. Claude tends to perform strongly on long document analysis and nuanced reasoning. GPT is strong on general tasks and code. Having the flexibility to choose — and to switch if a better model appears next quarter — means you're not locked to one vendor's AI roadmap.
Governance: included vs assembled
This is where I need to be careful, because Copilot Studio does have governance capabilities — they're just delivered differently.
Microsoft's governance for AI comes through a combination of tools: Purview for data protection, Entra ID for access control, the Power Platform admin centre for environment management, and DLP policies for controlling what connectors agents can use. It's comprehensive if you have the expertise to configure and maintain it. But it's assembled from multiple tools across the Microsoft stack, each with its own admin console, its own licensing, and its own learning curve.
TaylinAI's governance is built into the product. Approval workflows, PII detection, full audit trail on every query and response, data classification controls, and compliance export — all included from the £75 Starter tier. The person building the agents and the compliance officer reviewing the audit trail use the same platform, the same interface, the same login.
For organisations with a dedicated IT security team who already manage the Microsoft compliance stack, the Microsoft approach works. For organisations where the compliance requirement falls on a single IG officer or IT manager who needs to see everything in one place, TaylinAI's integrated approach is simpler.
Where Copilot Studio genuinely wins
I said this would be honest, so here's where Microsoft has the advantage.
Deep M365 integration. If your primary use case is AI within Word, Excel, PowerPoint, Outlook, and Teams — summarising emails, generating documents, analysing spreadsheets — M365 Copilot does this natively. TaylinAI doesn't sit inside Office applications. It's a separate platform for building document-search agents, not an Office productivity assistant.
Enterprise scale and procurement. For organisations with 1,000+ employees, existing Microsoft Enterprise Agreements, and a dedicated IT team, Copilot Studio fits into an existing procurement and management model. Microsoft's name on the contract may carry weight with your board that a smaller vendor's doesn't.
Power Platform ecosystem. If your organisation already uses Power Automate, Power Apps, and Dataverse extensively, Copilot Studio integrates naturally with those tools. The investment you've already made in Power Platform skills and infrastructure pays forward.
Where TaylinAI wins
Speed to value. Live in an afternoon, not a quarter. No IT project, no environment configuration, no connector development.
Cost predictability. Flat monthly pricing. No consumption credits to monitor, no per-user-per-message fees, no surprise overages.
Multi-source documents. Connect to documents wherever they live — not just SharePoint. One agent searches across all sources.
Model choice. Claude, GPT, Gemini — choose per agent, bring your own keys if you prefer.
Governance included. Audit trails, PII detection, approval workflows, and compliance export from the base tier. Not assembled from multiple admin consoles across the Microsoft stack.
Mid-market fit. Designed for 10-500 employee organisations where there isn't a dedicated platform team. The Operations Manager or Knowledge Manager can build and manage agents without IT involvement.
The decision framework
Ask yourself these five questions:
Are your documents entirely in SharePoint? If yes, Copilot Studio can access them natively. If no — if you use Google Drive, Dropbox, file servers, or a mix — TaylinAI handles that without custom connectors.
Do you have Power Platform expertise in-house? If yes, Copilot Studio will feel familiar. If no, you're looking at a learning curve or a consulting engagement before you can deploy anything.
Is your budget per-user or per-team? If you can justify $30 per user per month for M365 Copilot plus $200 per month for Studio credits, Copilot Studio is viable. If you need flat team pricing that doesn't scale with headcount, TaylinAI's £75-£125 per month is a different cost model entirely.
How quickly do you need to be live? If your timeline is this quarter, Copilot Studio is achievable. If your timeline is this week, TaylinAI is the practical option.
Who is your compliance stakeholder? If you have an IT security team managing Microsoft Purview, DLP, and the Power Platform admin centre, Microsoft's governance model works. If you have one IG officer who needs a single audit trail they can export and review, TaylinAI's integrated governance is simpler.
The bottom line
Copilot Studio is a capable platform backed by the largest software company in the world. For organisations deeply invested in the Microsoft ecosystem with dedicated IT resource, it's a legitimate choice.
For the majority of mid-market organisations I work with — firms with 10-500 staff, documents across multiple platforms, limited IT resource, and a compliance requirement that needs to be met now rather than after a three-month implementation project — TaylinAI solves the problem faster, simpler, and at a lower total cost.
The best way to decide is to try both. Microsoft doesn't offer a trial for M365 Copilot. TaylinAI does — 30 days, no credit card. Connect your documents, build an agent, show your CISO the audit trail, and decide for yourself.
Jason Taylor has spent 30 years building and securing infrastructure for regulated organisations — from the Bank of England and HBOS Treasury to government departments and Lloyd's market insurers. He founded TaylinAI to solve the AI governance gap he saw firsthand.