Use cases
How companies use afrodev — short reads for the products we ship. Filter from a platform page, or browse the full set.
Agents that run the workflow — not a chatbot on the side
A mid-size ops team wants routine work handled without hiring another layer of process. They run afrodev Agents on the workflows that burn hours — with ownership, guardrails, and deployment they can trust. Outcome: reliable automation in throughput and cost, not another demo that never leaves Slack.
Clean data first — then agents that don’t guess
Agents · Data & Analytics Platform (DAP)
You want agents in the workflow, but the sources are messy. Start with the DAP (automated data processing), then Agents on top. Combined: automation that acts on trusted data — ownership, security, and measurable impact instead of confident nonsense.
Agents inside tools your team already opens
An agent that lives in a chat window nobody uses won’t change the business. Adopt a Workspace app surface, then run Agents inside those workflows with integrations and guardrails. Combined: automation where the work happens, not beside it.