Aviation — aircraft components trading and MRO

Aircraft parts procurement: from inbox chaos to a managed pipeline

An AI agent reads incoming RFQs, compares supplier quotes and checks trace documents; an operations system moves each deal through mandatory stages.

Status
Pilot
Timeline
two phases: AI loop, then the operations system
Stack
  • n8n
  • IMAP
  • Telegram Bot API
  • Google Sheets API
  • React/TypeScript
  • Supabase (PostgreSQL, RLS)

The task

Aircraft component procurement ran on email and spreadsheets: RFQs were parsed by hand, quotes compared manually, and five departments worked in parallel with no stage control or access rules. Delays are expensive here — an AOG request means a grounded aircraft, and every shipment needs FAA 8130-3, EASA Form 1 or COC paperwork checked and alternate P/Ns considered.

What we built

Outcome

Full loop
full AI loop on a live procurement process — from incoming RFQ to team notification; confirmed by the owner
3
types of trace documents checked by the agent: FAA 8130-3, EASA Form 1, COC; counted from the owner's brief
6 × 6
roles and deal stages in the operations system, enforced in the database schema; counted from prototype code
11
screens in the working prototype — from order card with action history to management analytics; counted from code

More cases

Distribution · Partner networks

In production

A sales and support platform for a distributed partner network

Partners ask who on their team is inactive and what blocks the next level — and get numbers for their own part of the network only, enforced at the SQL level.

20 of 21
UAT checks passed on the client's live back-office database (reconciliation protocol); one partial — no last-activity date in the data
10 of 10
question categories from the assistant behaviour spec (~25 scenarios) implemented; one sub-item outstanding (checklist count)

Music tech · SaaS

MVP in operation (closed launch)

Music releases without missed deadlines

Release ops for independent labels: 9-stage lifecycle, pitching deadlines for 12 stores, AI drafts with human approval. Zero to production-grade in 7 weeks.

7 weeks
from first commit to a production-grade stack with Vault, encrypted backups, SLOs and a move to a Russian data centre (265 commits)
16 days
from project start to an investor presentation with a live product demo

IT consulting · Lead qualification

In-house product

A pilot plan for the visitor, a qualified lead for sales

We replaced the contact form with an AI consultant: it interviews the visitor, returns a pilot plan with KPIs and risks, and sales gets a lead with budget and timeline.

1 day
Working MVP — frontend, backend and deploy configs — built in a single day
16 days
From first commit to production with HTTPS and an issued certificate on its own domain

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Have a similar task?

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or email us directly: hello@xteam.pro

or email us directly: hello@xteam.pro