Roadmap + Signals

Signals that show
what customers need next.

Composed AI already answers from your business knowledge. Next, Signals will turn conversations into a ranked operating view of gaps, escalations, intent, and quality risks.

Available Now

The foundation is already useful.

Start with trusted answers, visible conversations, handoff, and quality checks before adding more automation.

Knowledge-grounded answers

Assistants answer from uploaded docs, website pages, policies, and approved business content.

Website chat widget

Deploy one lightweight widget and review conversations from the dashboard.

Human handoff

Give visitors a clear path to a person when the conversation needs direct support.

Quality controls

Run AI Readiness checks, review failures, and keep model behavior measurable.

Coming Next

Signals turns chat logs into a work queue.

Signals will summarize what customers are trying to do, where the assistant is missing context, and which conversations deserve human attention.

Create account
Signal 01
Unanswered questions customers ask repeatedly
Signal 02
Knowledge gaps by product, policy, or workflow area
Signal 03
Conversations that should have escalated sooner
Signal 04
Costly prompts, long contexts, and model fallback patterns
Signal 05
High-intent sales or support moments worth follow-up
Later

Approved actions, not uncontrolled automation.

Workflow automation will come after permissions, confirmation, audit logs, and safe fallback behavior are in place.

Create support tickets after customer confirmation
Lookup order, booking, or subscription status through connected tools
Draft replies or CRM notes for human approval
Trigger controlled workflows with audit trails and rollback paths

Build the knowledge layer now.

Signals and approved actions become more powerful when your assistant is already learning from real customer questions.