From AI demos to production operations wey dey
Most AI automation impresses in demos and fails in production. Threada exists to close wey gap.
Di gap between pilots and production
AI pilots impress stakeholders but collapse once real policy constraints, exception handling, and accountability requirements appear. Industry estimates suggest over 40% of agentic AI projects dey abandoned due to cost and unclear value.
Stable primitives, no brittle integrations
Instead of bolting AI onto existing tools, we built composable platform primitives: intake channels, WorkItems, Evidence, Actions, policy overlays, and telemetry. They compose enter any workflow without custom glue code.
Wey we dey
We dey an engineering-led team building dependable work automation infrastructure for Work, trust, operations, and shared services teams wey need AI they fit actually govern.
From di founder
Why we dey building Threada
Most automation tools answer di question and lose di paperwork. Threada dey built so di opposite dey true: every request becomes a record, and every action leaves a receipt. Intake from any channel normalizes enter a governed WorkItem; drafts, escalations, and external actions run against explicit policy; and di whole path from ask to outcome stays auditable. Wey dey di platform we wanted to operate ourselves — work you fit run quickly and still account for later.