Unified Memory
Voice, text, and email agents share one memory. A call picks up where the last text left off, and an email reflects what was agreed on the phone - creating seamless, personalized experiences on every channel.
Consistent Across Channels
Your agents know what was discussed in every prior call, text, and email - so people never have to repeat themselves when they switch channels.
Full Context, Every Time
Account history, contact preferences, consent status, and past resolutions inform every interaction automatically, whichever channel it happens on.
Learns What Works
Each interaction teaches your agents which channel and message resonate with each person, improving outcomes over time.
Our Voice Agents
AI agents that handle inbound and outbound calls with human-like empathy.
Inbound calls answered instantly
Calls are answered immediately by agents that understand context and intent. Real-time account lookup and verification, payments and scheduling, and seamless escalation to a person when the situation calls for it.
From Training to Production
Three steps to deploy compliant, continuously-improving agents across voice, text, and email - sharing one memory and one set of guardrails.
- Step 01
Discover & train
Agents learn from your own conversations. Upload historical call transcripts, text conversations, and email templates so your agents learn your flows, tone, and compliance requirements on every channel.
- Step 02
Validate safety & compliance
Checked end to end before anything goes live. Review your agents' compliance rate with Krew's safety team, down to pinpoint accuracy on any call, text, or email.
- Step 03
Launch & improve
Live alongside your team, measured against it. Deploy across voice, text, and email, measure uplift via A/B tests, and keep the agents learning with routine audits.
Reach More With Fewer Attempts
Our proprietary ensemble models let you engage consumers up to six times more often, validated on production calls.
Which accounts to dial
Every account scored on how likely the next call is to reach the person, from their own attempt history. Rate of real conversations in each tenth of dials by score, against the overall rate.
The top tenth of dials reached a person at 2.4 times the overall rate and the bottom tenth at 0.4 times, a six-fold spread.
Propensity to engage
Scores every account on how likely the next call is to reach the person, from their own attempt history. On production calls, the consumers it scored highest engaged at 6x the rate of those it scored lowest.
Read the research noteOne consumer’s week, scored slot by slot
Brighter means a call is more likely to reach them, inside permitted hours in their local time.
This week’s plan, in rank order
Tue 17:00 · Mon 16:00 · Sat 15:00 · stops at the first conversation
Best time to engage
Ranks each person’s calling times for the week from their own history. On production calls, the model’s preferred slot had 37% higher odds of reaching someone.
Read the research note“Financial institutions don't need AI demos - they need systems that work under real policy and oversight. Krew is built for that reality in servicing and collections, and it shows.”
Michael Jones - Former President and Chief Operating Officer, TCF Bank