How to Choose an AI Consulting Firm for Professional Services

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   Choose an AI consulting firm by evaluating three things: whether they build and deploy systems or just deliver strategy, whether they have specific experience in your industry, and what their clients say about results 6-12 months post-engagement. Firms that sell strategy documents without implementation accountability are the industry's most expensive bottleneck.

Does the firm build working systems, or just deliver strategy?

Use these questions in your evaluation to quickly differentiate serious implementation firms from strategy shops. • What does the engagement produce - what will we have on the last day that we didn't have on the first? • Do you handle integration with our existing CRM and tools, or do we need an internal team for that? • What happens when an automation breaks or needs updating - is that included or additional scope? • Can you show us a case study from a firm similar in size and industry to ours, with specific before/after metrics? • Who on your team will be hands-on in our environment - and what are their implementation credentials? • What's your methodology for prioritizing which processes to automate first?

Which red flags should rule a firm out?

The AI consulting space moves fast and has its share of firms that are better at selling engagements than delivering them. These signals should slow you down. • Heavy use of AI and automation buzzwords without specific outcome examples from professional services clients • Proposals that start with technology selection ('we'll implement X platform') rather than workflow audit • No clear ownership of implementation - if they're coordinating your internal team rather than doing the work, clarify that upfront • Vague success metrics - 'improved efficiency' and 'streamlined operations' without numbers are not accountable commitments • No post-deployment support plan - implementations that aren't maintained degrade within 60-90 days