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ConsultantAI vs the status quo

Doing it manually vs doing it with ConsultantAI

Same starting point: a market to size, a competitor to map, a diligence chapter to draft. Different finish lines: one is a week of manual research and a single slide; the other is a sourced deliverable in an afternoon. Here's the honest side-by-side.

DimensionManually (or with a junior analyst)With ConsultantAI
DeliverableA week of tabbing between sources, then a slideA sourced deliverable (market sizing, SWOT, diligence chapter) with sources attached to every claim
Who does the workA junior analyst (or you) pulling sources by handThe AI runs the research and first-draft; you review, judge and decide
Time to first answer2–5 days for a market size or competitive scanAn afternoon for a first pass with sources
Research qualityDepends on how thorough someone is that weekEvery claim traces to a source you can open, or a written assumption
Cost modelAnalyst hours at $50–150/hr, billed against a tight timelineFree tools to start; platform pricing sized to your team (see the ROI calculator)
CapacityOne analyst, one project at a timeRun multiple analyses in parallel; scale without hiring
Vendor lock-inNone, but the work is manual every single timeTry free, export your work, no proprietary format trap

FAQ

Is AI consulting research better than a human analyst?

It is faster and more consistent at the retrieval-and-first-draft work. The judgement (deciding what matters, defending the assumptions, owning the recommendation) still sits with you. That is the split we design for.

Does this replace hiring analysts?

It removes the grunt-work portion of the role: the tabbing between sources, the first-draft slides. Teams typically use the saved capacity for more engagements or deeper analysis, not to stop hiring.

How much time does it actually save?

Our ROI calculator models a 45% reduction in research-and-first-draft time, which is consistent with industry benchmarks for AI-augmented consulting workflows. Put in your own numbers to see your firm’s figure.

How do I know the AI is not making things up?

Every claim is either traced to a source you can open or labelled as an assumption. We designed the product around the citation-verification problem specifically: see the blog on why AI fails in consulting.