Live engagements. Real outcomes. Discoveries that turned into clients.

An established EU software and consulting firm had an enterprise client roster and a sales team ready to sell, but no AI advisory line of business yet. No methodology, no deliverables, no productized service to pitch.

The newly appointed practice lead saw Audity on a demo call in late 2025. On the first call, she stated the plan out loud: run it internally, put the assessment on the website as a lead magnet, run it into email campaigns. That's exactly what launched, on their timeline, paced around their internal go-to-market readiness.

They ran Audity internally, trained their sales team on sample deliverables, and landed their first paying AI discovery client during the evaluation period. They activated Audity Solo and completed white-label setup so the prospect-facing assessment carried only their own branding.

Their public launch went live as a workshop for the regional market. The mechanic behind it: a white-labeled Audity ReadyLink on their own subdomain, feeding leads into their funnel with every completion. Their logo, their tagline, their contact footer. Prospects never saw Audity.

Our market launch for AI Audits went really well. We've collected leads and had some promising sales conversations. The result looks great. Everything went smoothly.

The launch workshop generated 60 leads on day one. Zero prior pipeline in the service line before it went live. Promising sales conversations already in motion the day after. Off the back of the launch, the firm is now rolling Audity out to the rest of the team.

A UK-based strategic venture designer with a 30+ year consulting career signed up for an Audity trial with a live prospect already on deck. Not a sandbox run. A real non-profit in the middle of a classic transformation challenge, consolidating multiple operational spreadsheets into a single annual reporting workflow.

He had almost no time to prepare. He wanted to know whether Audity could produce a defensible recommendations summary he could bring straight into the client conversation.

He dropped in a discovery-call transcript and two prior annual reports. Audity returned 18 ranked recommendations, each anchored to direct quotes and figures pulled from the uploaded documents, including numbers buried inside chart visualizations, not just plain text.

It was looking at the conversation we had, going into the annual report, pulling out figures, whether they were in charts or whatever, and talking about how we could improve this figure from there to there.

The client's procurement policy capped any single non-competed supplier at a fixed threshold per year. Above that, competitive bidding was required. Rather than pitch a larger engagement and lose on procurement grounds, he used the cap as the on-ramp. He picked the recommendation from the list of 18 that fit inside the non-competed ceiling and scoped his proposal around it. The project was funded. The remaining 17 stayed on the table as pre-scoped competitive bids for the next round.

The real signal isn't whether the tool impressed a veteran consultant in a demo. It's that he closed a live engagement built on Audity's output. Experienced consultants don't sign off on black boxes, and your prospects won't either. Recommendations tied to quotes from their own documents are what let you walk in with proof instead of a pitch.

Ed Krystosik, CAIO consultant and Audity co-founder, was a guest on a podcast about AI in professional services. After the recording wrapped, the host, who ran a mid-size law firm, asked if Ed could come consult for them. They'd been hearing about AI for months without a clear starting point. They'd tried a few tools, none of them stuck, and the host wasn't sure if the problem was the tools or the approach.

The firm knew AI was relevant to their business. They just didn't know how to prioritize it. Every vendor they'd talked to wanted to sell them a specific tool. Nobody had sat down and asked "what are you actually trying to fix." They had pain across document review, client intake, and internal knowledge management. Nobody had mapped those pain points to specific, measurable opportunities.

Ed's opening move: a structured discovery run on Audity, scoped as a low-friction entry point. Stakeholder interviews, process mapping, gap analysis, ROI projections per opportunity. The engagement took a fraction of the time a traditional consulting assessment would have taken. The platform handled the heavy lifting on data collection and analysis, leaving Ed free to focus on the parts that require a human: asking the right questions, reading the room, translating technical possibilities into business language the partners understood.

At the end, the firm got a report with specific recommendations, projected ROI for each one, and a clear implementation roadmap. Not a generic "you should use AI more" deck. A plan they could execute.

Within weeks of delivering the report, they signed a $22K implementation project with Ed to execute the top-priority recommendations. That project opened the door to ongoing advisory work, and the total pipeline from that single relationship grew past $100K. The discovery fee was credited toward the implementation project, which removed the last objection before they signed. That credited-fee on-ramp is a play you can run on your next discovery.