BUYING GUIDES & COMPARISONS

Honest head-to-heads,
not vendor spin.

The head-to-heads, decision tools, and strategic guides we walk every 30–300 person firm through before they sign an AI contract. No affiliate links, no vendor spin, no platform loyalty — just the math and the workload fit.

Head-to-head

Three comparisons that decide most AI procurements.

Microsoft 365 CopilotVSChatGPT Enterprise

Copilot vs. ChatGPT Enterprise: the honest head-to-head

Pricing math (both land near $30/seat for sub-150-seat firms), workload fit, the 5-dimension decision matrix, and the "buy both" pod case that’s more common than expected.

Best for: Firms picking their primary AI tier; M365 vs Google Workspace shops; teams sizing a power-user pod.

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Microsoft 365 CopilotVSGemini for Workspace

Copilot vs. Gemini for Workspace: the SMB head-to-head

For Workspace-first SMBs: when Gemini is enough, when the M365 + Copilot suite switch pencils, and the four-scenario decision matrix. The grounding-and-Purview gap most buyers under-weight.

Best for: Google Workspace shops weighing whether to switch suites; firms with agent ambitions; regulated verticals.

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Power Automate + AI BuilderVSZapier

Power Automate + AI Builder vs. Zapier: should you migrate?

Most SMBs on Microsoft 365 are paying twice for the same automation capability. The 80/20 migration rule, what moves and what stays, plus 5 AI Builder patterns that pay back in the first month.

Best for: Firms with overlapping Zapier + M365 spend; ops leaders auditing automation TCO; teams looking to add AI to existing flows.

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Power AutomateVSSelf-hosted n8n

Power Automate vs. self-hosted n8n: which SMBs should pick

n8n is free to license and expensive to operate; Power Automate is the reverse. The 60-seat all-in math, where each genuinely wins, and the hybrid pattern we ship most often.

Best for: SMBs with one engineer on staff; teams with non-M365 long-tail SaaS; data-residency-sensitive builds.

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Copilot StudioVSAzure AI Foundry / custom

Copilot Studio vs. custom AI agents: build vs. buy

24-month TCO math for both paths ($70K–$110K Studio vs $190K–$420K Foundry), four signals each way, and the Studio-first-Foundry-later progression we ship most often.

Best for: Firms scoping a first production agent; IT leaders weighing platform choice; teams without a dedicated AI engineer.

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Azure OpenAIVSAWS Bedrock

Azure OpenAI vs. AWS Bedrock for SMB builds in 2026

The platform decision is rarely about model quality. Identity, residency, grounding store and compliance documents — the four differentiators that actually matter at SMB scale, plus the 30-second decision rule.

Best for: Firms scoping a first custom-AI build; EU SMBs with regulatory exposure; teams already anchored to one cloud.

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Run the numbers yourself

Three calibrated decision tools, free.

ROI Lab

Plug in your headcount, suite, and use-case mix. Get a defensible 12-month ROI projection.

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Before you buy anything

Four strategic pieces worth reading first.

The cheapest way we know to kill a bad project before week 2. Five questions, used at every kickoff.

Most 30–300 person firms are paying for 60–80% of the Microsoft AI capability they need. Here’s the map.

Four ROI levers, the trap nobody talks about, and a worked example getting to 3.2× year-one ROI on Copilot.

About a third of the rollouts we triage in month 3 made the same seven mistakes. Recoverable in three weeks.

Want a second opinion on which way to go?

Eight minutes, no obligation. The free AI Readiness Assessment outputs a calibrated recommendation against your specific headcount, suite, use-case mix, and governance posture.

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