82Labs › How to Apply AI in Your Work — A Practical Guide for Industry & Finance
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.
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.
Step 2 — Off-the-shelf tool vs. a system built in code
| Approach | Best when | Limit |
|---|---|---|
| Off-the-shelf (Copilot, ChatGPT, n8n) | General tasks, fast pilot, small team | Stalls on deep integration or precision at scale |
| Built in code (dedicated agent) | Core process, real load, ERP/internal integration | Needs 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, $100M+ in operations runs on systems 82Labs has built, and 1,500+ engineers have been trained by the team.
FAQ
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.
Talk to us
Projects from $8k · Retainers from $5k/mo · Free scoping call