Customer-facing agents
Support agents that resolve real issues — grounded in your knowledge, connected to your systems.
Platforms & Products
Customer Experience AI
Reduce handle time, improve CSAT, and scale customer-facing teams with AI that knows your products and policies.
- 70%of routine contacts resolved by AI
- +15 ptsCSAT lift on AI-assisted flows
- 24/7coverage across every channel
Capabilities
CX that scales without feeling scaled
Support, sales and success copilots that deliver personalized customer experiences.
Agent-assist for humans
Suggested answers, summaries and next actions inside your service desk.
Omnichannel consistency
Chat, email, voice and in-app — one brain, one tone, every channel.
Quality and insight analytics
Every conversation scored and mined for product and process insight.
How it works
Resolution, not deflection
Customers don't want to be deflected — they want their problem solved. We build AI that actually resolves, and escalates like a professional when it can't.
Real resolution
Agents that fix the issue, not recite the FAQ
Connected to your order, billing and account systems, AI agents check status, process changes, issue credits within policy and confirm the outcome — with guardrails on every action.
- Actions in your systems, not just answers from docs
- Policy-bounded authority with approval escalation
- Warm handoffs with full context when humans take over
Summarize open claims above $50k and draft escalation emails.
query_claims_db
draft_email
✓ policy_check
Found 12 claims. 3 need escalation — drafts are ready for your review.
Human approval requiredReview →
Human amplification
Your best agent's knowledge, in every agent's hands
For contacts that need people, AI drafts responses, surfaces relevant knowledge and history, and writes the wrap-up — cutting handle time while raising consistency.
- Suggested replies grounded in resolved similar cases
- Auto-summaries eliminating after-call work
- Real-time knowledge surfacing during conversations
Copilot
Draft renewal summary for Acme Corp
3 accounts show churn risk — view analysis
Ask anything…
Voice of customer
Every conversation becomes intelligence
Conversations are scored for quality and mined for signal: emerging issues, product friction, churn risk, policy gaps — delivered to the teams that can fix root causes.
- Automated QA scoring on 100% of interactions
- Emerging-issue detection ahead of ticket spikes
- Insight feeds to product, ops and leadership
99.9%Uptime
1.2sp95 latency
$0.021Cost / task
QualityCostLatencyDrift
Use cases
Where customer experience ai delivers value
Tier-1 support automation
Order status, account changes and troubleshooting resolved end-to-end.
Email and ticket handling
Drafted or fully automated responses with policy compliance built in.
Voice AI
Natural phone experiences for status, scheduling and simple transactions.
Proactive outreach
Delay notifications and renewal reminders sent before customers ask.
In-product help
Contextual assistance that resolves issues inside your app.
QA and coaching
Every conversation scored, with coaching insights for team leads.
Delivery
How we build it
We start from the business outcome, then design agents, models, tools and guardrails that can survive production — not just a demo.
- Production-ready architecture
- Secure tool integrations
- Measurable business KPIs
- Operate & improve playbooks
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1
Discover
Map workflows, data, constraints and ROI.
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2
Architect
Define models, tools, memory and trust boundaries.
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3
Build
Ship a production-ready system with evals and observability.
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4
Scale
Optimize cost, quality and adoption across teams.
We resolved 68% of chat contacts automatically within a quarter — and CSAT went up, not down, because the AI actually fixes things and knows when to get a human.
Works with your stack
Built on the tools you already run
We integrate with your models, clouds, data platforms and enterprise systems — no rip-and-replace.
- Anthropic Claude
- OpenAI
- Zendesk
- Salesforce Service Cloud
- Intercom
- Genesys
- Twilio
- Five9
- Shopify
- Stripe
- Pinecone
- Datadog
FAQ
Common questions
Will this hurt our CSAT?
Done right, it raises it. The keys: resolve rather than deflect, escalate gracefully with context, and measure CSAT per flow from day one. We gate rollout on quality metrics, expanding scope only as scores hold.
How does the AI know our policies?
Grounded retrieval over your policy and knowledge base, plus action guardrails encoding hard limits — credit ceilings, verification requirements. Policies change? Update the source; the agent follows.
What happens on sensitive or angry contacts?
Sentiment and topic triggers route those conversations straight to humans, with a summary and suggested approach attached. The AI's job includes knowing when it shouldn't be the one talking.
Can it work in our voice channel?
Yes — modern voice AI handles natural conversation for well-scoped intents. We typically prove flows in chat first, then extend to voice with latency-optimized models.
Next step
Give customers answers, not queues
Pick your highest-volume contact type — we'll show you what real resolution automation looks like.