Auren Studios
00 / automation

Halved onboarding time.

Replaced a 14-step manual onboarding workflow with an AI-routed pipeline.

client · [anonymized · enterprise saas]engagement · ai automation · 6 weekstech · Next.js · Supabase · OpenAI · Slack API
01 / problem

what was broken.

> rfc / problem

The internal ops team ran a 14-step onboarding process by hand for every new enterprise customer. Average time-to-first-value was 11 days, with 30% of accounts stalling on a single manual approval step.

Each rep was spending around 4 hours per onboarding inside their CRM, copying data between systems and emailing internal teams to chase approvals.

02 / solution

what we shipped.

> rfc / solution

We built a pipeline that ingests CRM signal at deal close, routes the new account through a tree of AI-judged steps (auto-approve / human-review / escalate), and pushes status back to the rep's dashboard in real time.

Reps now intervene only on edge cases. The dashboard surfaces stalled accounts as a single live counter, and a slack thread is opened automatically when human review is needed.

03 / results

numbers, measured.

01 / metric
0 %
reduction in time-to-first-value
02 / metric
0 hrs
saved per rep, per onboarding
03 / metric
0 %
auto-approved without review
04 / metric
0 incidents
in production since launch
04 / outcome

what changed.

The ops team reallocated 60% of their onboarding hours to retention work. Three months in, accounts are activating in 5 days on average and the dashboard has become the team's primary working surface.

05 / next

want results like these?

bring us the next one. ↘