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Use case · Consultancy

Fifteen people. Nine subscriptions. One bill nobody reads.

A small consultancy bills expertise. AI is now inside every deliverable, and every consultant expensed their own.

What this is

These figures describe an expected pattern for a practice of this size, not a named customer’s claim. Fifteen people can stand one up in an afternoon and see their own.

The situation

Fifteen consultants, all senior, all billing. Each of them found the tool that suits their work and put it on expenses. Nine subscriptions, three of which do the same job.

The work is better and faster. Research that took a day takes two hours. The problem is that the founder cannot answer two questions: what are we actually paying, and what did it buy.

At this size there is no procurement function to solve this. There is a founder, a bookkeeper, and a card statement.

What runs where

  • Vendor account

    All nine subscriptions on one record, with the three that overlap named.

  • Developer machines

    One pasted command per laptop. Local coding and research sessions report, subscription seats included.

  • API gateway

    The two client-facing tools the practice built, attributed per request rather than per month.

What Oabo shows in the first 30 days

  • Every AI subscription in one place, with the seats nobody has signed into in sixty days.
  • The three overlapping tools, priced, so the founder can cancel two with a reason.
  • Cost per client engagement, so a project that leans hard on AI carries its own cost.
  • Research and drafting hours absorbed, kept as hours in their own register.

What to expect

Cash saved
$9,400
Per year. Cancelled overlapping subscriptions and dormant seats, net of the signed hold-back.
Capacity created
780 hrs
Per year of research and drafting. Billable or not is your decision, not a number Oabo prints.

Two units, two blocks. Cash is money your ledger moved. Capacity is time your people got back. Oabo never adds them together.

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