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Choosing the Right AI Tools for Finance

Choosing the right AI tools for finance is half the battle. The other half is implementation. Most SMB AI failures trace to the wrong tool selected before the right tool was understood.

Why This Matters for SMBs

You have been pitched a dozen AI platforms this quarter. The pitches sound similar. The actual fit to your stack, your team, and your scale varies wildly. A bad selection wastes a year and tens of thousands of dollars.

Common Scenarios

Three Situations You Might Recognize

Six AI platforms in the demo cycle

Vendor selection paralysis. A placed consultant runs the evaluation against your stack and your scale.

Pilot that did not survive procurement

Vendor cannot show three SMB references in your industry. Implementation methodology is "we will figure it out together." Walk away.

Multi-tool sprawl

Three AI tools, none integrated, each silo-ed. Consolidate to one or two platforms with strong integrations.

How a Placed Consultant Might Approach This

A placed consultant runs a structured vendor evaluation: requirements doc, vendor scoring matrix, three reference calls per finalist, integration verification, and a one-page recommendation with the rationale documented.

Related Project Ideas

Illustrative Projects in This Area

Fractional AI Leadership

A fractional AI-fluent finance leader on your team for as long as you need one.

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