Lever

Find where AI actually fits in your business.

A short structured assessment, then five to eight integration opportunities ranked for your specific business, written so an operator can act on them.

Read on
Use cases
61
Questions
13
Time
~5 min
Cost
Free

01Why this exists.

Operators run businesses with troves of rich data and real, daily pain. Most do not know how to use AI to start improving things.

On top of that, every other email is an AI startup promising to transform your business, with no idea where you would actually start. The anxiety is loud, the advice is generic, and nothing translates to the operation in front of you.

Lever fixes that.

02What Lever is.

  1. i.
    Answer questions

    A short set of questions about how your business actually works. Five minutes, no login.

  2. ii.
    Get recommendations

    Five to eight AI integration ideas, ranked by fit to your specific business, written in plain language.

  3. iii.
    Read the detail

    Each recommendation opens into a one-page brief covering the problem, the solution shape, three ways to deliver it, and the honest limits.

  4. iv.
    Reach out to me

    When you want help putting one of them in, drop me a line. The follow-up maps the idea to your real systems and people.

03How Lever works.

  • A hand-curated taxonomySixty-one AI integration patterns, each written as a specific operator-facing entry: where it fits, the rough year-one cost, the failure modes, the tooling worth shortlisting. Built and maintained by hand, not scraped from a vendor index.
  • An adaptive questionnaireThe early answers shape what the later questions look like. By the time you reach the time-drain and document-work questions, the options on screen are tuned to your industry and location, not a generic SMB checklist.
  • A frontier model doing the rankingYour answers are matched against the full taxonomy by Claude Sonnet, ranked by fit, and each recommendation comes back with a personalised paragraph on why it fits the business you described.
  • A full brief per recommendationEach ranked use case opens into a one-page brief: the problem in plain language, the solution shape, tooling shortlist, the year-one numbers, an implementation roadmap, and the risks worth flagging upfront.

04Who built this.

Siddhanth Banerjee. Oxford MBA, pivoting into AI go-to-market and operator roles. Lever is the by-product of dozens of conversations with founders, operators, and AI buyers, written down as a structured taxonomy so the same thinking can be put in front of any business in five minutes, without me in the room.

LinkedIn / Siddhanth Banerjee->

Begin

Five minutes. A short questionnaire. A real answer.

Start the assessment->
Lever / AI Integration Advisor