Automate the call.
Guide customer conversations through defined workflows, policy checks, and human hand-offs.
Automate customer calls, verify who is speaking, detect synthetic speech, and govern the AI behind every decision.
Guide customer conversations through defined workflows, policy checks, and human hand-offs.
Compare the live voice with an enrolled reference before the workflow advances.
Review speech for synthetic, cloned, or replayed characteristics and preserve the result.
Connect the call, model, controls, and evidence in one traceable decision.
Guide customer conversations through defined workflows, policy checks, and human hand-offs.
Compare the live voice with an enrolled reference before the workflow advances.
Review speech for synthetic, cloned, or replayed characteristics and preserve the result.
Connect the call, model, controls, and evidence in one traceable decision.
Connect every call to identity, authenticity, and a clear hand-off.
Each workflow is scoped with your operating team.
Review the data path, access, evidence, and escalation before deployment.
Where voice is processed, transferred, and retained.
Who can configure, approve, review, and operate the flow.
Which model, policy, and review artifacts must be recorded.
When the decision moves to a human or bank-owned system.
Controls and assurance scope are confirmed for each engagement. No certification or regulatory approval is implied.
Connect model risk, controls, and review evidence across global standards and local requirements.
Map global frameworks alongside requirements such as India's DPDP Act and RBI model-risk guidance. Reference mapping only—not certification, legal advice, or regulatory approval.
Explore AI Assurance