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We are considering hiring an outsourced AI agency to build custom automations for our operations, but their technical pitches are incredibly dense. How do we evaluate their proposals from an owner's perspective to ensure we are buying real enterprise value rather than expensive vaporware?

Many AI consultants rely on complex jargon to hide the fact that they are building fragile systems that will break the moment you stop paying them. To protect your business and your cash flow, you must evaluate their proposals through a practical, owner-focused lens.

When reviewing a pitch from an outsourced AI agency, ignore the technical slides and focus on three specific criteria:

First, demand a clear definition of ownership. Who owns the code, the custom prompts, and the integration workflows? If the agency insists on hosting the system on their own servers or keeping the prompts proprietary, walk away. You must own the intellectual property outright so it adds to your enterprise value.

Second, ask for the maintenance protocol. AI models update constantly, which can cause prompts to break. The agency must provide a simple, written plan for how your internal team will maintain the system without needing ongoing support. If the system is too complex for your team to run, it is a liability, not an asset.

Third, tie their payments to operational milestones, not hours billed. Do not pay for development time. Pay for delivered results, such as a fully integrated tool that successfully processes five hundred mock orders with a ninety-five percent accuracy rate. By holding the agency accountable to these business results, you ensure you get real enterprise value rather than a half-finished science project.

Category: AI-Powered Operations

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