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Start-up launch phase: handling customer calls on a tight budget

Published on 2026-11-11

Launching a product without a customer service team: how a young company can cover its calls and pay for results with HARX's TAAS model.

The problem: calls to handle before there is even a team

At launch, a start-up has few resources and many unknowns. The first customers call to understand, to complain, to ask for a demo. Founders either answer themselves at the expense of the product, or calls go unanswered and early users drift away.

TAAS: pay only when the result is approved

TAAS, short for Transaction-as-a-Service, is one of the two offers brought together on HARX.ai. The principle: the company defines the expected result and its price, and only pays when that result is approved. A mission is called a gig, and it is carried out by a network of certified customer service professionals, human or AI.

For a start-up, this logic suits the uncertainty of a launch: instead of a fixed cost, you pay for a specific result. Each interaction is evaluated in real time, which gives visibility on quality. The COMPANY space, where a gig is published, is announced as coming soon, so it should not yet be counted on today.

Meanwhile, the start-up can rely on HARX Telephony, for example Company Full Scope In & Out, to have a number from its own country, reception and voicemail without waiting to build a team.

Good practices for supporting a new product

A successful launch combines fast learning with controlled spending. HARX's TAAS approach fits that logic by tying payment to the result obtained. Start small, measure what each interaction actually delivers, and expand only once the pattern is clear.

Frequently asked questions

What is a gig in TAAS?

A gig is a mission: the company describes the expected result and its price, and only pays if the result is approved.

Can I publish a gig right now?

The Publish a gig function in the COMPANY space is announced as coming soon.

Who carries out the missions?

A network of certified customer service professionals, human or AI.

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