Security Code case

Security Code is a Russian developer of information-security products. We are rolling DODVIR in step by step: first an operational unit - the warehouse - then personal AI agents for employees.

Context

A large product company has many processes where manual coordination is expensive: warehouse, procurement, knowledge transfer between departments. We started where the effect is easiest to measure - the warehouse.

The second, deeper problem is the gap between sales and engineering. Sales sell what is technically hard to build, while engineers build what the market does not really need. Both sides work honestly - but without shared context this gap costs the company money.

Phase 1: warehouse optimization - in progress

• Mapping warehouse processes: receiving, putaway, picking, stocktaking.
• Finding the bottlenecks where an agent replaces manual coordination and spreadsheets.
• Building a process model of the warehouse so automation lands on real flows, not on top of chaos.

Phase 2: an AI agent for every employee - ahead

After the warehouse we start rolling out personal agents. This phase has not started yet - and it is the one that solves the communication problem:

• Every employee gets an AI agent tuned to their role.
• Sales agents know the technical state of the product - and do not promise what is hard to build.
• Engineering agents see the market context - and do not build what the market does not need.
• The agent loop becomes a communication layer between departments: agreements are recorded, context is not lost.

What it brings

Status

The project moves in phases: the warehouse is in progress now, personal agents start after it. We will extend this case with numbers as results land.