Muthoot Finance lifts branch-visit conversion 150% with Blue MachinesRead more

Conversational agents

Talk to your customers.

Inbound and outbound across voice, SMS, web chat and email. Carry the context from one conversation to the next.

Recorded voice demos

Hear the conversation. See the work.

Try a voice agent

Find a payment plan

Understand the customer's situation, discuss repayment options and arrange a handoff.

Account contextPayment plansHuman handoff

Every channel, one memory

Customers move between voice, SMS, web chat and email. The agent doesn't: one agent, one memory, so nobody repeats themselves. Change it once and it changes everywhere.

Shared Memory / Maria Garcia
Illustrative · 1 memory · 4 channels
  • Day 1 · VoiceWants to renew. Asked to pay in three parts.
  • Day 2 · SMSOpened the link. Picked the 3-part plan — nothing re-explained.
  • Day 3 · Web chatMade the first payment. The 3-part plan was already on screen.
  • Day 9 · EmailReceipt and schedule sent automatically. Record closed.
Speech & Entity Recognition / Heard → Captured
Illustrative · Live call
“nine four one oh seven”
✓ 94107ZIP code
“P as in Paul, seven seven one, four two”
✓ P-771-42Policy no.
“¿cuándo vence mi pago?”
✓ Due dateIntent · Spanish

Follow the conversation across languages

Understands ZIP codes, alphanumeric policy numbers and regional accents out of the box — in English and Spanish, and follows the customer mid-sentence when they switch.

Controls built into the workflow

Configure consent, contact hours and disclosure checks for each workflow. Hold or route a conversation for review when a configured check fails.

Guardrail Engine / Pre-send verification
Illustrative · Before every message
  • Configured contact windows in the customer's time zoneChecked
  • Recorded consent, suppression lists and contact frequency limitsChecked
  • Required disclosures for the configured workflowChecked

✓ Messages or calls that fail a check are automatically held or blocked

Back-office agents

Run your processes.

From the first document to a review-ready case, inside your systems of record. Keep people in control of consequential decisions.

Goal Execution / Prepare an application for review
Illustrative · Running
  1. Receive the applicationSMS · document received
  2. Extract document fieldsOCR · source attached
  3. Validate against the recordRules · missing fields flagged
  4. Update the CRM caseCRM · evidence linked
  5. Route to underwriting reviewHuman review · awaiting decision
  6. Share the approved next stepSMS · after approval

Source documents → validated fields → CRM record → human approval

Turn documents into work ready for review

Collect a document, extract its fields and check them against your records. Agents assemble the evidence and update the case; your team reviews exceptions and approves the next step.

Grounded in your systems

Ground responses in connected systems of record. Retrieve amounts, dates and addresses, then retain the source and action history so your team can trace what happened.

Workflow Receipt / System of record lookup
Illustrative · Verified
“Maria, your premium of $48 [1] is due on the 28th [2], charged to the Visa ending 4412 [3].”
  • [1] Monthly premiumpolicy_admin.premium
  • [2] Due datebilling.next_due_date
  • [3] Payment methodpayments.card_on_file

Analytics & assist agents

Support your team in the moment.

Review connected conversations, surface the next action and help your people handle the moments that need attention.

Surface the conversations that need attention

Review connected conversations against your quality criteria. Surface customer concerns, potential policy issues and moments that need a supervisor's second look.

Live Call Fleet / 1,000 concurrent calls
Illustrative · 38 flagged
Collections QA score82 / 100
Renewals QA score76 / 100
Customer service score88 / 100
Inbound sales score71 / 100
Real-Time Agent Assist / Chris · Service
Illustrative · 02:41 live
Customer toneRising friction · Supervisor alerted
Customer said“Why is there an extra charge on my bill? Nobody told me about this.”
Suggested next line

Explain the fee waiver policy, then offer a monthly payment plan.

Suggested response grounded in the configured policy

Help in the moment

When a live call gets hard, your people are not alone. The assist agent surfaces the exact policy and next best line on screen, and alerts a supervisor in real time.

Model Failover / Keep a fallback ready
Illustrative · Model fallback

Configure an alternative model for degraded service. Monitor latency and route eligible requests to the fallback while retaining conversation context.

Primary LLM (Latency spike · 2.1s)Degraded
↳ Routing to the configured fallback
Failover model (Serving live turn)Active
Version review / Tested before it ships. Better every day.
Illustrative · 1-click rollback

Every change is tested on synthetic customers built from past calls before going live. Then the agent learns on the job and brings you evidence-backed upgrades to approve.

v1 · Tested on 1,420 calls · 4/4 gates passedShipped
v1.1 · Slowed down amount line after 312 repeatsShipped
v2 · Monthly payments · approved by JordanLive

Put Agents to work.

Bring us your first use case. We’ll map the path from your current stack to production.

How we operate