Consulting ‘AI Audit’ Offering
A repeatable consulting product has emerged: short, paid ‘AI audits’ that map business processes, identify inefficiencies, and recommend tools — typically pitched as $1,000 for a two-hour deliverable with clear upsell potential. That packaging is a simple way for consultants to monetise AI advisory work and create a scalable entry point for larger transformation projects. (x.com)
A lot of “AI consulting” is being repackaged into something much smaller: a fixed-scope audit that can be sold in one call, delivered in days, and priced like a low-friction test instead of a six-figure strategy project. One live example is a public “AI Audit” offer priced at $1,000, and other firms are selling similar “AI audit” or “AI readiness” packages with short timelines and roadmap-style outputs. (aifirstbusiness.ai) (theaiconsultinglab.com) The pitch is simple because the buyer’s problem is simple: most companies do not know which task to automate first, which tool to buy, or which team should own the work. Deloitte said in its 2024 year-end survey of about 2,800 leaders that access to generative artificial intelligence remained limited to under 40% of the workforce. (deloitte.com) That same Deloitte research found that more than two-thirds of respondents expected 30% or fewer of their current experiments to be fully scaled within three to six months. In other words, companies are testing tools quickly, but changing real workflows slowly. (deloitte.com 1) (deloitte.com 2) A short audit fits that gap because it sells diagnosis, not transformation. The consultant interviews staff, maps the steps in a process like sales follow-up or proposal writing, and then turns that into a shortlist of “quick wins” and a roadmap. (theaiconsultinglab.com) One firm advertising this format says its audit produces “2 to 3” quick-win opportunities and a 90-day plan after interviews with leadership and front-line staff. Another enterprise-focused version from Precisely includes data maturity, governance, and change-management recommendations inside a six-week assessment. (theaiconsultinglab.com) (precisely.com) The reason consultants like this packaging is that it turns vague advice into a product with a price tag. Instead of saying “we can help with artificial intelligence strategy,” they can sell a defined first step, then use the audit findings to upsell implementation, training, software integration, or governance work. (precisely.com) (pwc.com) The reason clients buy it is that the software itself is now cheap enough to try. OpenAI lists ChatGPT Business at $20 per user per month on annual billing and $25 per user per month on monthly billing, which makes the expensive part less about model access and more about deciding where to use it. (openai.com) (help.openai.com) That shifts the bottleneck from “Can we afford the tool?” to “Which workflow breaks first, and what data, approvals, and people sit inside it?” Precisely’s launch materials say only 12% of organizations believe their data is ready for artificial intelligence, and that weak data quality and governance still derail projects. (precisely.com) Deloitte’s survey points the same way from another angle: nearly 74% of respondents said their most advanced initiative was meeting or exceeding return-on-investment expectations, but regulatory compliance and real-world errors remained major barriers. So the winning offer is not “we know the best model,” but “we can tell you where the risk, return, and process friction actually are.” (deloitte.com) That is why the small audit is spreading. It is cheap enough to approve on a manager’s budget, concrete enough to feel different from a generic workshop, and narrow enough to repeat across dozens of clients with the same template and a different set of workflows each time. (aifirstbusiness.ai) (theaiconsultinglab.com)
