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From Zero to 15 Paying Users in 14 Days

Archived founder story on early traction with AI-agent workflows. Retained for historical reference; not featured on the enterprise media library.

1:55Founders, early-stage teams
1:55
Key takeaways

What you will learn

  • Early agent workflows validated product-market exploration velocity.
  • Startup narratives differ from enterprise procurement journeys.
  • See executive events for current enterprise positioning.

Related sessions

Events and explainers from the same topic area.

Next step

See the current Zof AI platform

Schedule a briefing on today’s governed autonomous reliability, testing fleets, and enterprise validation.

01Elu arụ ọrụ

Otu elu maka ọnọdụ, arụmọrụ, na ihe chọrọ nlebara anya na-esote.

Ụlọ Zof abụghị dashboard ahịa. Ọ bụ injinia elu arụ ọrụ, QA, na ndị otu SRE na-eji kwa ụbọchị, ọnọdụ dị mma, ọsọ ụgbọ elu, mkpuchi site na modul, yana omume onye ndu kwesịrị ileba anya na-esote.

KPI arụ ọrụ

  • Na-agba ọsọ
  • Mkpuchi
  • Ihe ize ndụ

Bi n'ofe gburugburu ebe niile ị na-ebuga.

SPINE ỌRỤ

  • Nkọwa
  • Nnwale
  • Usoro

Site na nkọwapụta ruo nrụgharị akwadoro.

Nkpuchi

  • RBAC
  • SSO
  • nyocha

Omume ọ bụla sitere na mmadụ akpọrọ aha.

STAGING · LIVE/home
Ụlọ ọrụ iwu ụlọ Zof AI na-egosi 12 na-agba ọsọ na 94% ngafe, 3 mepere emepe dị oke egwu, 84% mkpuchi, ogwe traceability modul anọ, pipeline nkọwa, nhazi oge na-abịa, na-atụ aro omume na-esote na-arụ ọrụ na sidebar na-arụ ọrụ.
Nlele ụlọ · Ọrụ ndenye ọpụpụ · Nhazi · ewepụtara ozugbo na ngwaahịa a.
  • 01 · RUNS · 24H

    94% pass

    12 runs across staging

  • 02 · COVERAGE

    84%

    Across four modules

  • 03 · ACTIVE RUNS

    3 running

    Live on this branch

  • 04 · NEXT ACTIONS

    Recommended

    Triage gaps, new spec

From Zero to 15 Paying Users in 14 Days · Zof AI Videos