Autonomous customer support systems
Autonomous infrastructure for mission-critical customer conversations
Conveau.ai gives support teams an operating system for AI agents that reason, act, and escalate with precision across chat, email, and internal workflows.
Live orchestration surface
Policy aware
Queue pressure
Low drift
The agent absorbs repetitive demand before it reaches the team.
Decision layer
Intent, memory, action
Rules, retrieval, and escalation logic working in one path.
Active outcome
91.6%
Orders resolved, refunds routed, and edge cases handed off cleanly.
Web chat, email, CRM, and internal tooling connected in a single control surface.
Every response is grounded in policy, customer context, and explicit actions.
Fast enough for teams that need a result this quarter, not after a replatform.
Product
Three agent surfaces working in one operating layer
Support, sales, and analytics share the same orchestration core so teams can answer, convert, and learn from every conversation in one system.
01
Support agent
Resolve order questions, delivery issues, branch requests, and repetitive support demand in real time.
Explore support workflows
02
Sales agent
Turn live buying intent into larger baskets with reorder nudges, cross-sell plays, and checkout guidance.
Explore sales workflows
03
Analytics agent
Turn conversations and on-site behavior into weekly insight, friction detection, and prioritized improvement paths.
Explore analytics workflowsIndustries
Configured for sectors where conversation quality moves revenue and service
Each deployment pattern is tuned to the workflows, compliance constraints, and buying moments that shape the industry.
01
Accommodation
Handle booking questions, guest requests, and upsell opportunities before and during the stay.
See accommodation use cases
02
Furniture
Guide high-consideration discovery, answer fit questions, and support bigger room-set decisions.
See furniture use cases
03
Healthcare
Reduce patient friction around appointment routing, service clarity, and next-step guidance.
See healthcare use cases
04
Retail
Grow basket value, answer product questions, and keep post-purchase support moving without delays.
See retail use casesSystem
Designed like infrastructure, not a glossy chatbot wrapper
Reasoning mesh
Blend prompts, business rules, and retrieval into a single decision plane.
Memory lattice
Carry customer state, prior outcomes, and company context across channels.
Action runtime
Call APIs, update systems, create tickets, and trigger operator handoffs.
Evaluation loop
Measure drift, compare policies, and improve agents with real production traces.
Workflow
A support flow that feels deliberate end to end
Observe demand
Capture language, metadata, and customer history in real time.
Choose the path
Decide whether to answer, act, clarify, or escalate.
Execute cleanly
Push updates into systems without losing auditability.
Refine the model
Feed outcomes back into evaluations, prompt changes, and policy tuning.
Proof
The value is operational, not theoretical
Teams use Conveau to compress queue time, lower cost per resolution, and keep edge cases under control without sacrificing brand tone.
Security
Enterprise controls without losing speed
Auditability, approval gates, role-based access, and human review are part of the core workflow, not an afterthought.