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Platform guide

Which AI platform? It depends — here's on what.

The AI landscape changes every month. Instead of chasing the newest tool, start with your data, your existing systems, and what your people need to get done. This guide is vendor-neutral; we don't accept referral fees.

Four kinds of AI tools. Most organizations need one or two.

AI assistants for your team

Chat-based assistants for writing, research, analysis, and summarizing. The fastest way to give staff safe, everyday AI.

ChatGPT Business / EnterpriseClaude Team / EnterpriseMicrosoft 365 CopilotGemini for Google Workspace

Choose a business or enterprise plan — not personal accounts — so you get admin controls and contractual data protections.

Automation platforms

Connect apps and move data between them, with AI steps for classifying, extracting, and drafting.

Microsoft Power AutomateZapierMaken8n (self-hostable)

Watch the permissions: automations often hold broad access to email and files. Scope them tightly.

Cloud AI services

For custom solutions: build assistants and agents inside your own cloud with enterprise security and data residency.

Microsoft FoundryAmazon BedrockGoogle Vertex AIDirect model APIs

Best when you need custom integrations, strict data control, or will scale beyond a few users.

Open & private models

Open-weight models that can run on your own hardware or private cloud, so data never leaves your control.

LlamaMistralGemmaQwen

Trade-off: maximum privacy and control, but you own the upkeep, security patching, and quality testing.

Product names are trademarks of their respective owners and are listed as common examples, not endorsements. Plans, features, and data terms change often — verify current terms before purchasing.

Platform picker

Get a starting point in 30 seconds. Your answers never leave your browser.

Answer four questions and we'll suggest which category to look at first. It's a starting point for a conversation, not a final answer.

What do you already use for email and documents?
What's the main goal?
How sensitive is the data involved?
Who will manage it day to day?

Ask these before you buy. Any vendor should answer clearly.

QuestionWhy it mattersWhat good looks like
Is our data used to train your models?Training can expose your information in ways you can't undo.No by default, in writing, for your plan
How long do you keep prompts and files?Longer retention means more exposure if the vendor is breached.Configurable retention; deletion on request
Do you support SSO and MFA?Shared or personal logins are the most common way access goes wrong.SSO with your identity provider; enforced MFA
What admin controls and audit logs exist?You need to see who's using what and switch off risky features.Admin console, usage logs, feature controls
Which security certifications do you hold?Independent audits are evidence of mature security practices.SOC 2 Type II and/or ISO/IEC 27001; ISO/IEC 42001 is a plus
Will you sign a DPA (or BAA for health data)?Contracts define your legal protections and the vendor's duties.Standard DPA available; BAA if you handle PHI
Where is data stored and processed?Some data and contracts require U.S. residency.Clear regions; U.S. residency option
How do we get our data out?Avoid lock-in when needs or prices change.Export tools and documented APIs

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