Netting Solutions
A system of AI agents proposes three campaign options per niche and product from customer and past campaign data.
- Sector
- Marketing technology
- Service
- AI integration and training
- Running since
- July 2026
- Origin
- Chía · 4.86° N
- Destination
- 4.71° N · 74.08° W
- Distance
- ≈ 17 km
What changed
- 1–2 days → 15 minto generate 3 campaign options for a niche and a product (MVP).
- 12 hof AI training for the Netting team, plus a workshop to take the demo to an MVP.
- The demo was presented to the end client and met all of its requirements.
StatusThe end client decided to consolidate its AI projects into a single initiative, so the MVP has not gone into production.
Situation
Netting Solutions runs marketing for a multinational software company. To propose a campaign for each business unit, its team had to search several data sources, review which past campaigns had worked and verify everything. A campaign draft took 1 to 2 days.
What we did · TRAZO Method
T · Trace the workflow
We mapped how a campaign was born: which data was queried, who verified it and where the time went.
R · Rules or AI?
Data queries are read-only and follow rules; interpreting results and proposing campaigns per niche and product is work for AI.
A · Agent and human
A system of agents receives the request, queries customer and past campaign data, and proposes three options. An auditor agent checks that every proposal is consistent with the data before delivering it. The marketing team decides which one to use.
Z · Safe zone
The agent can only read the data, never change it, and every recommendation shows where it comes from.
O · Objectives measured
Time per draft and compliance with the end client's requirements.