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Vesper Digital

AI agents that do the work humans don't have time for.

We design and ship AI use cases inside privately held companies — on a fixed fee, on a fixed timeline. Assessment in two weeks. Implementation in eight.

Built on the same AI-driven operating system that runs the practice itself. See how.

Fit check

See if we're a fit. Five questions, two minutes.

Most boutique consulting sites tell you who they work with. This one shows you whether your business profile lines up, and what an engagement would likely focus on if it does.

Question 1 of 7

If you decide to move forward with an AI initiative, how many people need to sign off?
Select an option to continue

Who this is for

Built for the people running the business.

The offer

Three products. Defined scope. Fixed fee.

Most engagements start with an Assessment, move to a fixed-fee Implementation, and end at go-live. Operating support extends month-to-month if you want it.

Product 1

Assessment

Fixed scope · Two weeks

A two-week AI readiness audit and 12-month roadmap. Each use case scored, costed, and tied to a payback number.

Product 2

Implementation

Fixed fee · Eight-week baseline

Single all-in fixed fee for a defined-scope engagement: Gap Sprint diagnostic, Phase 1 build, post-launch operating support. Scope and number locked at signature.

Product 3

Managed Services

Month-to-month · Optional

Operating support extends month-to-month after Implementation if you want it. Most clients absorb operations in-house after the 30-day post-launch window. We don't push it.

See how we work

Without outside help

Where most internal AI rollouts stall.

  • Vendor selection takes 3–6 months because you have no benchmark for what counts as a fit.
  • Integration burden falls on lean IT teams already running the business.
  • Slow rollout means the opportunity cost compounds — every month delayed is revenue or efficiency unrealized.

The engagement model exists to compress this timeline. Eight weeks from kickoff to go-live.

Case Study Zero

I run my practice with AI.

AI runs most of the back office of this practice. Strategy decks, market analysis, client intake, proposal drafting, session logs. The work that used to require a team.

See how

Where we focus

Built for privately held companies across multiple industries.

The approach transfers cleanly across privately held companies with manual back-office work that AI can replace or augment: manufacturing (especially custom and fabrication), distribution (especially specialty), B2B services, and niche operator-driven businesses.

Three verticals carry the deepest case-study base:

Trucking — carriers running TruckMate, Samsara, Tenstreet or similar.

Mechanical contracting — HVAC, fabrication, ASME, pipefitting.

Tax services — tax-form distribution, prep, e-filing, compliance.

Where would you like to start?

The fit scorer is the fastest read. The maturity model is the deeper one. A direct email lands if you're ready to talk.