What Menler learners build

Twenty real projects shipped during Menler fellowships — AI agents, RAG pipelines, automations and internal tools built with Claude across product, finance, sales, operations, HR and engineering.

Projects

  • CEO decision-intelligence agent — Founder's Office. Pulls from Slack, Asana, GitHub, finance docs & reports — synthesises a Monday-morning briefing on what changed, what's at risk, and what to decide. Outcome: 15-min briefing replaces 90-min catch-up
  • Deal-flow triage agent — Finance Operations. Ingests pitch decks, founder emails, and public data, then outputs a partner-ready memo on fit, market, traction, and follow-up questions. Outcome: Cuts initial screening time by 70%
  • Insights-to-PRD pipeline — Product Management. Synthesises user interviews, support tickets, NPS comments, and sales notes into structured product requirement docs and themed opportunity stacks. Outcome: 5× faster discovery → PRD turnaround
  • PMO status agent — Product Management. Reads sprint boards, code commits, and stand-up notes — drafts the weekly leadership update with risks, slippage, and the asks for next week. Outcome: Saves 6+ hrs/PM/week of status writing
  • Production RAG pipeline + custom MCP — Engineering. Document ingestion → vector DB → grounded Claude service, with caching, RAGAS evals and a remote MCP exposing internal tools to Claude Desktop. Outcome: <800ms p95, ship-ready to enterprise
  • Research synthesis & insight engine — Analyst. Multi source agent across PDFs, web data, and internal reports produces a competitive landscape with citations and contradictions flagged for review. Outcome: Days → hours per research cycle
  • SOP automation suite — Human Resource. Replaces six manual checklists with a single audit-ready agent that intakes, triages, and escalates exceptions across customer support and ops. Outcome: Reclaims 8–12 hrs/manager/week
  • Always-on content & outreach engine — Marketing & Sales. Turns one strategic brief into a coordinated multichannel campaign — blog, email, LinkedIn, ads, and sales sequences — with brand voice enforced. Outcome: 3× output velocity, single-author voice
  • Retail support RAG service — Engineering. Ingests product catalogs, SOPs and past tickets into a vector store, serving a grounded Claude assistant that answers retail ops queries with sources attached. Outcome: ~55% fewer escalations to senior engineers
  • API doc summariser agent — Engineering. Crawls internal API references and changelogs, then drafts integration guides and flags breaking changes for downstream engineering teams. Outcome: Integration ramp-up cut from days to hours
  • Internal engineering copilot — Engineering. An agent over internal repos and docs that scaffolds code, runs retrieval-grounded reviews, and drafts design notes without leaving the IDE. Outcome: Design-to-first-PR time down ~40%
  • Quote-to-order automation engine — Finance Operations. Reads inbound quotes, validates them against catalog and pricing rules, auto-creates clean orders, and raises Jira stories only for the exceptions. Outcome: ~70% of standard quotes processed untouched
  • Requirement-to-dashboard pipeline — Analytics. Turns raw stakeholder notes and source tables into a structured BRD, then scaffolds the BI dashboard spec and a first-pass EDA for review. Outcome: Requirement-to-dashboard cycle roughly halved
  • Incident management auto-sync — Analytics. Connects ServiceNow to Google Sheets via API and Apps Script, classifies incidents, and refreshes live dashboards with no analyst input. Outcome: ~10 hrs/week of manual logging eliminated
  • AI job-matching workflow — Human Resource. Parses candidate resumes against open roles, scores fit with reasoning, and routes ranked shortlists straight into the recruiter queue. Outcome: Shortlisting effort per role down ~80%
  • Account research & solutioning agent — Marketing & Sales. Gathers public company signals, synthesises an account brief, and drafts a tailored solution narrative plus a first-cut sales deck for the deal team. Outcome: Pre-meeting prep cut from ~4 hours to 30 mins
  • CRM hygiene autopilot — Marketing & Sales. Captures call and meeting transcripts, summarises outcomes, and updates CRM fields and next-step tasks without any rep data entry. Outcome: ~5 hrs/week recovered from CRM admin per rep
  • End-to-end SEO content agent — Product Management. Takes a topic brief, researches and drafts on-brand articles, then publishes straight to the CMS with metadata and internal links in place. Outcome: Content output 4× with no added headcount
  • Inbound email triage agent — Product Management. Screens incoming emails, classifies intent, drafts context-aware replies, and queues CRM follow-ups for one-click human approval. Outcome: First-response handling automated for ~90% of inbound
  • Insight-on-demand data agent — Analytics. Turns plain-English business questions into SQL, runs them against the warehouse, and returns narrated insights and charts for leadership. Outcome: Self-serve analytics for the CEO's office — zero wait