Automated workflows to explore

Throughput: intake → posting

Before:~12 days→After:~2 days

Days Sales Outstanding (DSO)

Before:~50 days→After:~30 days (-21 days)

Time per invoice

Before:12–15 min manual→After:1–2 min spot check

Data Entry

Before:Manual data entry from PDF invoices→After:Automatic OCR extraction with AI validation

Lead Evaluation

Before:Manual evaluation by sales→After:AI-based scoring with 50+ data points

Order Processing

Before:15-20 minutes manually→After:Under 1 minute automated

Tooling

Before:Data source, sequencing tool, CRM and a spreadsheet in between→After:One Odoo instance, one database, one contact base

Outreach

Before:Same newsletter to everyone→After:1:1 by stage & preference

Content Creation

Before:Manual, 4-6 hours per article→After:AI draft in minutes, team review

First Response Time

Before:2-24 hours→After:Under 10 seconds

Knowledge Search

Before:20–30 min across Confluence, Jira, chats→After:One question, answer in seconds

Understanding

Before:One corporate language many only half-master→After:Everyone reads and hears in their own language

Admin Time

Before:15 hours per new hire→After:1.5 hours per new hire

Document Flow

Before:Email chains→After:Central document management

Coordination

Before:Excel across dozen teams→After:Central cutover dashboard

Time per Letter

Before:30–45 minutes→After:~5 minutes (with physician approval)

Searching the systems

Before:Manual, one system after another→After:Four agents search in parallel

Overview of AI in use

Before:A spreadsheet nobody updates→After:Self-updating AI registry

Access

Before:shared admin key for everything→After:dedicated, narrow credentials per agent

Model choice

Before:one large model for everything→After:routed to fit per step