Agency AI Ops Layer

Context

Client type: Agency group.

The product needed a stable digital core, stronger presentation and an operational model that would not fall apart after launch.

Built a workflow layer for briefs, estimates, response drafts and internal approval chains around AI-assisted operations.

Approach

Defined the architecture, user flow, data model and release constraints before going deep into implementation.

Core stack: Python, OpenAI API, n8n, Telegram, PostgreSQL.

Special attention was given to maintainability, admin scenarios and a delivery flow that would remain predictable in production.

Outcome

The system became easier to run, easier to scale and much more convincing as a business-facing product.

The team gained clearer control over operations and a cleaner base for future feature work.