Public affairs work carries reputational, legal, and political risk. DiscourseIQ is designed so coordinated AI work stays inspectable, approvable, and under customer control.
The workspace can research, propose options, and assemble work—but consequential actions remain under human veto. Your team accepts, edits, or rejects before work becomes external commitment or institutional record.
Discourse-sensitive claims should stay connected to sources teams can review. Provenance and review paths support counsel that is useful under pressure—not free-floating generation.
Organization work is scoped for tenant separation. Customer data and governed memory are treated as customer-controlled assets—not a generic shared corpus. Technical security controls and policies are maintained in-product and may evolve with deployments.
Product security detail: app security policy.
Model providers and external tools are used as infrastructure under platform governance. Customer information is not the product we sell. Training, retention, export, and deletion commitments are defined in the Privacy Policy and related legal documents—and we will expand this page as enterprise controls and partner terms are published for procurement.
We describe direction and shipped controls honestly. Multi-specialist automation, empty-workspace “instant compounding,” or enterprise features that are still in progress will not appear as present-tense guarantees. Questions for procurement belong on a demo or security review with your team.
