Operating systems and automations with measured outcomes. Every one ran with clear owners, guardrails, and a human in the loop.
Partner Operations Delivery at Scale
Challenge: Partner intake, scoring, and the handoffs across BD, Legal, and Finance ran on manual coordination, with no repeatable execution system across teams. A sister organization’s external vendor quoted about $30K just to auto-populate partner legal documents.
What ALIPAP delivered: Playbooks, dashboard tracking, and a dependency and risk cadence across Product, Engineering, Infrastructure, Legal, and Growth, plus a homegrown partner-lifecycle system (ClickUp + Zapier) where each stage change auto-creates the next team’s task with a human approval at every gate, and partner legal documents auto-generate. Delivered alongside a company-wide Basecamp to ClickUp migration across a 50-plus person team with zero disruption.
Impact: 200+ partner projects delivered, operational overhead reduced by 100+ hours per month, the $30K vendor quote replaced by an in-house build in under a week, and cross-team coordination time cut about 20%.
Launch and Scale of a Digital Platform
Challenge: A new platform required coordinated launch execution across teams with tight timelines and high safety and cost expectations.
What ALIPAP delivered: Launch planning, owner alignment, a post-launch operating cadence, and escalation workflows, then a config-driven product model so a new branded launch ships by swapping configuration rather than rebuilding, with per-tenant cost controls and user-safety guardrails in place from day one.
Impact: Scaled from 0 to 100,000+ users in 6 months with sustained cross-team delivery, and a repeatable launch model that stands up new offerings from a single intake.
Review Process Redesign, AI in the Loop
Challenge: Two reviewers spent about 25 hours a week processing inbound submissions by hand, plus 4 hours of weekly decision calls, with scoring that varied reviewer to reviewer.
What ALIPAP delivered: A redesigned review workflow supported by an automated scoring pipeline (n8n + Claude). On submission it scores each application against an engineered rubric, drafts a summary, and routes APPROVE / REVIEW / REJECT by confidence to the right channel, with a human in the loop on every edge case. The evaluator was backtested against real reviewer decisions and tuned until its judgments matched the team’s.
Impact: Review time cut from 25 to 15 hours a week and decision calls from 4 to 2, with consistent, rubric-aligned scoring the team trusts.
Automated Outreach & Lead Engine
Challenge: Lead research and personalized outreach were entirely manual, and could not keep pace with the pipeline.
What ALIPAP delivered: A workflow that scrapes target accounts, qualifies leads against defined criteria, enriches contacts from a data source, and drafts personalized outreach, running the campaign only after human approval.
Impact: A repeatable lead engine that runs without manual research, with a human gate before anything sends.
