The AI discovery process, gap analysis and ROI in one flow
Run a repeatable AI discovery process that ends in gap analysis and ROI projections.
Most consultants run AI discovery with one tool to assess, another to build the business case, and a late night in slides to stitch them together. Audity Pro runs the whole discovery in one place: the client's documents, your stakeholder interviews, cited recommendations, a stakeholder analysis, a scored gap analysis, an ROI model and a prioritized roadmap, delivered as a client-ready report, slide deck and Stakeholder Memos under your brand. You run the same process on every client, so every discovery you sell comes out at the same standard.
What a two-tool stack gives you
A dedicated assessment platform and a dedicated ROI or business-case tool can each do their one job well. If you've already standardized on a survey tool and a separate financial model, and the handoff between them is clean, that stack works. The real question is whether your discovery and your business case should live in two systems that don't share any data, or whether running them as one flow gives your client a better deliverable and takes less of your time.
Where a two-tool stack strains for AI discovery work
- The assessment tool and the ROI tool don't share data, so you re-key findings by hand from one into the other.
- The gap analysis lives in one tool, the dollar figures live in another, and you build the client deliverable by hand in slides.
- There's no repeatable process. Every client means stitching the same two tools together again, so each discovery is rebuilt from scratch.
- The ROI projection isn't connected to the specific gaps you found, so the business case reads as generic instead of grounded in this client.
- The manual deliverable work at the end eats hours you could spend with the client.
How you run the whole discovery in Audity Pro
- A repeatable discovery process you run the same way on every client, instead of rebuilding it each time.
- Document intake for the client's SOPs, security policies, marketing plans, org charts and even their own slide deck.
- Stakeholder interview questions generated to fill the gaps in the documents, with contradictions flagged where the documents and the people disagree.
- Every recommendation cited: it quotes the document line or interview quote it's based on. When your reputation's on the line, you can see why each one is there.
- Interview analysis that shows the gap between what's written down and what actually happens.
- Stakeholder analysis: key concerns, points of consensus, who's for or against AI, the change champions who could lead AI inside the client, and the political dynamics of who influences the buying and who gives final approval.
- A scored gap analysis on your frameworks, grounded in the client's own documents and interviews.
- ROI projections built from the gaps you found, on the numbers you provide. We don't make up numbers.
- A short, medium and long term roadmap with an impact matrix of impact against cost. You edit the priorities and choose which items go into the deliverables.
- Deliverables under your brand: a PDF report with the content you select, a fully editable slide deck, a .docx export of the raw data, and Stakeholder Memos for every person you interviewed.
- Nothing leaves the platform without your explicit approval.
- 5 AI Discoveries a month on Pro, each a complete billable engagement.
A two-tool stack vs running discovery, gap analysis and ROI in Audity Pro
| Dimension | two-tool stack | Audity |
|---|---|---|
| Discovery process | Assessment tool, set up again for each client. | One repeatable process you run the same way every time. |
| Document intake | Read separately, outside both tools. | The client's documents read and analyzed for you. |
| Stakeholder interviews | Questions written by hand. | Questions generated from the gaps in the documents. |
| Recommendations | Written up by hand from your notes, with no source attached. | Each one cited to the document line or interview quote behind it. |
| Stakeholder analysis | Pieced together from memory after the interviews. | Concerns, consensus, change champions and political dynamics, from the interviews. |
| Gap analysis | Scored in the assessment tool, exported by hand. | Scored on your frameworks, grounded in the client's documents and interviews. |
| ROI projections | Built in a separate tool, re-keyed from the assessment. | Built from the gaps found in this client. |
| Prioritized roadmap | Assembled by hand in slides. | Short, medium and long term, with an impact matrix you can edit. |
| Client deliverable | Stitched together across two tools into a deck. | A PDF report, editable slide deck, .docx export and Stakeholder Memos from the same data. |
| Repeatability | Every client means rebuilding the same stack. | The same process on every client, at the same standard. |
A two-tool stack is the right call when
- You've already standardized on tools you won't replace.
- Someone else owns the business case and prefers their own system.
- You run discovery rarely enough that the manual handoff isn't a bottleneck.
- You don't need one branded deliverable out of the process.
Running the whole discovery in Audity Pro is the right call when
- You sell AI discoveries and want to run each one the same way, not rebuild it every time.
- You want ROI projections built from the specific gaps you found, not generic figures.
- You want one branded, client-ready deliverable, not a hand-stitched deck.
- You want the client's documents and stakeholder interviews checked against each other.
Common questions
Run your next discovery the way you'll run every one after it.
Start on Audity Pro, or watch a guided tour of a full discovery first.
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