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> case studies

What we've built

Real automations. Real results. Built on real tool stacks.

> climate finance — operations team

From 20 hours of manual work to zero

The client

A growing climate finance company with a lean operations team. Strong deal flow, ambitious pipeline — but their ops infrastructure hadn't kept pace. Every new deal created more manual work.

The challenge

  • Deal presentations created manually for every prospect
  • Email activity captured inconsistently — ~60% at best
  • Compliance screening done ad-hoc, no standard process
  • Call insights trapped in recordings, never actioned

Impact

MetricBeforeAfter
Manual hours per week~15–20 hrs0
Presentation creation time15–30 min< 1 min
Email activity capture rate~60%100%
Compliance screening coverageAd-hoc100%
Cost per automated action~$25–50 (analyst time)< $0.05
15–20 hrs/wkeliminated
< 1 minto generate a deal presentation
100%compliance coverage
$0.02cost per presentation

The ecosystem

01

AI-Powered Deal Presentation Generator

Problem

Creating a deal presentation took 15–30 minutes per deal. Slides were inconsistent, often outdated, and entirely dependent on one analyst.

Solution

n8n workflow triggered by HubSpot deal stage change. Pulls deal data from CRM, generates formatted slides via GPT-4o and Google Slides API, uploads to Drive, and posts to Slack.

< 1 min generation time. $0.02 per presentation.

02

Zero-Friction Email Activity Tracker

Problem

Only ~60% of email activity was making it into HubSpot. Reps weren't logging calls. Deal history was incomplete.

Solution

Automated Gmail → HubSpot sync via n8n. Every email sent or received is parsed and associated with the correct contact and deal automatically.

100% capture rate. Zero manual logging.

03

Automated Compliance Screening

Problem

Compliance checks were ad-hoc and inconsistent. New deals might go unscreened for days.

Solution

n8n workflow triggered on new HubSpot deal. Runs adverse media search via Serper API, summarizes findings with GPT-4o, and delivers a structured report to Slack.

100% of deals screened. Flags in < 2 minutes.

04

AI Seller Communication Extraction

Problem

Valuable insights from sales calls lived in recordings — inaccessible and unsearchable.

Solution

Ingests Fireflies and Sybill transcripts, extracts structured deal signals with GPT-4o, and writes back to HubSpot custom fields.

Currently in validation.

Technical stack

HubSpotn8nGPT-4oGoogle Slides APIGoogle Drive APIApps ScriptSerper APISlackFirefliesSybill
> coming soon

E-commerce Operations

Case study in progress.

> coming soon

SaaS Revenue Ops

Case study in progress.

> coming soon

Professional Services

Case study in progress.

> the automations

See each workflow in detail

Every automation built for this client — what it does, how it works, and what changed.

AI-Powered Deal Presentation Generator

Every time a deal went live, someone had to manually copy-paste 15+ data fields into a slide template. We automated the whole thing — from CRM trigger to finished Google Slide — in under 60 seconds.

GPT-4o rewrites the raw seller description into polished buyer-facing copy. A master-file architecture means the presentation URL never changes across updates, and full version history is preserved in every file.

15–30 min
before: time to make one slide
< 60 sec
after: fully automated
$0.02
cost per presentation
triggersAI failssuccessDeal goes ActiveHubSpotFetch 15+ data fieldsCRM APIAI copywritingGPT-4oFallback templateif AI failsReplace 22 fieldsGoogle SlidesURL saved to CRMDone

Ready to stop doing things manually?

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