The Implementations Journal

Papers, not promises.

Each implementation we design, written up the way we’d want to read it: the problem, exactly what we built, how it works, and the result in hours or euros. No slideware — the working notes of how this gets done.

These are representative implementations. Result figures are indicative ranges based on the workload each automation removes; we agree the baseline and report the real numbers with you during a pilot.

Featured paper

Revenue & CRMSalesforce · FirefliesMar 20267 min read

Turning every sales call into an updated CRM and a drafted follow-up

Sales reps lose a large share of their week to post-call admin: logging the call, updating fields, and writing the follow-up. We deployed an agent that ingests the call transcript, extracts the entities that matter, writes them straight into Salesforce, and drafts the follow-up email for one-click sending.

Read paper
4–6 hrsrecovered per rep / week
StackSTT webhook · entity extraction · Salesforce API · email drafting
HubSpot · ClearbitFeb 20266 min read

Dynamic lead scoring and routing, with a first reply in minutes

Enrich, score against your ICP, route to the right rep and hand them a personalized opener — before the lead cools.

Minutesto first response, not days
Read paper
SalesforceJan 20266 min read

A five-point account briefing before every renewal

An agent reads the whole account so the CSM walks into the renewal informed, not blind.

5-point briefper account, auto-generated
Read paper
SAPMar 20267 min read

Supplier invoices that read, validate and post themselves

OCR plus extraction, validated against the purchase order, posted automatically — humans see only the exceptions.

Hours/weekof admin time removed
Read paper
SAPFeb 20266 min read

Asking your ERP a question in plain language

“Margin by business line, Q1 vs last year” — answered in seconds, without a ticket to IT.

Self-serveanswers in seconds
Read paper
HoldedJan 20266 min read

A 30/60/90 receivables forecast that updates itself

Cross-reference payment history with open invoices to forecast collections — with a probability per customer.

30/60/90cash forecast, auto-updated
Read paper
Implementations — Badia Partners