Security questionnaires stall deals
The problem
Every enterprise prospect sends the same 300 questions about data handling, isolation, retention and audit — and engineering answers them from tribal knowledge each time.
How TellParrot solves it
Dedicated per-tenant database isolation, tamper-evident audit chains, retention enforcement and documented data flows give concrete, inspectable answers — the same evidence every time.
→ Security review answered from architecture, not improvisation.
Customer data multiplies faster than governance
The problem
Each customer tenant accumulates entities, integrations and exports; nobody can say per-tenant what data exists, where it flows, or how healthy it is.
How TellParrot solves it
Per-tenant catalogs, lineage, quality scores and job monitoring make each tenant's data estate visible — to you, and where you choose, to the customer.
→ Tenant-level data transparency as a product feature.
Your AI features need an accountability story
The problem
You ship AI features; your customers' risk teams ask what models run, on what data, with what assessments — and the answer is a Notion page.
How TellParrot solves it
The AI governance register documents models, risks, impact assessments, incidents and disclosures, connected to data domains — a live register you can show customers.
→ AI features backed by an inspectable governance register.
Privacy engineering keeps getting deferred
The problem
DSAR handling, deletion propagation and retention live on the roadmap, quarter after quarter.
How TellParrot solves it
Built-in DSAR workflows, retention attached to data domains, and audit-chained deletions — capabilities you inherit rather than build.
→ Privacy obligations met without burning product quarters.