82Labs

Guide

How to Apply AI in Your Work — A Practical Guide for Industry & Finance

The safest way to apply AI at work is to pick one high-friction manual process, ship a focused AI agent or automation as a first release in 2–3 weeks, measure the outcome, then expand. Not a giant project — a small first step that returns value immediately.

82Labs · Haifa, Israel 1 min read קראו בעברית

Step 1 — Pick the right process to start with

The highest-ROI processes are repetitive, eat human hours, and run on text or semi-structured data:

  • Industry & manufacturing: order tracking, production planning, quality control, cross-factory and ERP sync.
  • Finance & accounting: bank reconciliation, invoice reading, expense classification, periodic reporting.
  • Ops & service: ticket routing, meeting summaries, answering recurring questions from internal docs.
A first release in two to three weeks, then expand 01 Map the friction one manual process 02 Ship one release 2–3 weeks 03 Measure against the manual baseline 04 Expand only what the measurement earns
The order matters more than the tooling — measure before you widen the scope.

Step 2 — Off-the-shelf tool vs. a system built in code

ApproachBest whenLimit
Off-the-shelf (Copilot, ChatGPT, n8n)General tasks, fast pilot, small teamStalls on deep integration or precision at scale
Built in code (dedicated agent)Core process, real load, ERP/internal integrationNeeds an engineering partner

Step 3 — Ship a small first release (2–3 weeks)

82Labs' model: Discover (map workflows, find the bottleneck), Build (weekly demos, working software from day one), Launch (clean code, runbooks, handoff). Median time to launch is 6 weeks.

Real examples

Kostika: one MES that replaced spreadsheets and now runs 10+ aluminum factories, integrated with Priority ERP.
Sherman: precision sheet-metal QC on a multi-model architecture (Claude / Gemini / GPT) so no single model outage stops the line.

In total, $500M+ in operations runs on systems 82Labs has built, and 1,500+ engineers have been trained by the team.

Frequently asked

Where should I start applying AI at work?

With one repetitive, frustrating manual process you can describe in clear steps — e.g. bank reconciliation in finance or order tracking in manufacturing. Build a small first release in 2–3 weeks and measure before expanding.

How much does an AI automation project cost?

At 82Labs, projects start at $8k, retainers at $5k/month, and the first scoping call is free. Median time to launch is 6 weeks.

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Projects from $8k · Retainers from $5k/mo · Free scoping call

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