Build a 90-day path to a lower cost base

The opportunity

The cost is in the workflow, not in the model

Illustrative first candidates across the cost base. Each is repeatable, countable and tied to a cost metric:

• Finance & accounting

  AP intake and coding; invoice matching; collections and cash application

  Cost per transaction

• Procurement & vendors

  Spend classification; renewal control; supplier onboarding and outreach

  Overheads / savings

• Customer service

  Tier-1 resolution; order and return status; case routing and knowledge retrieval

  Cost per case

• Operations & supply chain

  Order entry and validation; shipment exceptions; replenishment alerts

  Cost per order / exception

• HR & people ops

  Employee onboarding; payroll and benefits queries; policy requests

  Cost per employee request

• IT service desk

  Access requests; software provisioning; tier-1 troubleshooting

  Cost per ticket

• Sales & RevOps

  Lead and account research; CRM hygiene; quote and proposal assembly

  Cost per qualified lead

• Marketing operations

  Content adaptation and localization; performance reporting; approvals

  Agency spend / cycle cost

The workshop

One workflow becomes a cost-out decision in two hours

1. 01

   Baseline the cost

   Volume, people-hours, external spend, rework, errors and overheads.

   Output: current unit cost

2. 02

   Eliminate first

   Remove redundant steps, reports, approvals and handoffs before automation.

   Output: lean workflow

3. 03

   Design the agent

   Tasks, integrations, human approvals, exceptions and budget guardrails.

   Output: control map

4. 04

   Quantify the case

   Target unit cost, savings assumptions, 90-day path and go / no-go.

   Output: decision

The path forward

Continue only when the cost case is real

1. Day 0

   Workshop

   Select one workflow and frame the cost question.

2. Week 1–2

   Value diagnostic

   Validate the baseline, data, controls and integration fit.

3. Week 3–8

   Configure + integrate

   Build, connect and test with people in control.

4. Week 9–12

   Managed run

   Operate, monitor, retrain and report unit-cost delta.

Your host

Vadim Fintinari

Chief AI Officer, RebelDot · Cluj-Napoca, Romania

Vadim Fintinari is the Chief AI Officer at RebelDot, where he leads one of Eastern Europe's largest dedicated AI & Data Engineering teams. He focuses on applying artificial intelligence to real-world business challenges, helping organizations leverage modern AI technologies to create practical value. Based in Cluj-Napoca, Romania, he works hands-on across engineering and innovation teams to drive AI adoption and strategy.

What you leave with

• A clear, example-driven understanding of what AI agents actually are.
• Where the opportunity for agent adoption sits in your own business — and how to measure it.
• A concrete next step: deploy your first AI agent in the business next week.