Greet customers with context, not scripts. Pollax Context Engine unifies memory, live signals, and outcome-driven personalization so every call gets sharper than the last.
Priya Sharma
Student · Fee reminder journey
₹12,400
2 days ago
Recent thread
Tie every call, chat, and message to one person so the agent picks up where the last conversation left off.
Own your memory layer — permissioned, retained on your terms, and exportable to your warehouse.
Pull purchases, fees, tickets, and account state into the agent so every reply starts with full history.
Respond to payments, logins, campaign replies, and account changes as they happen — not hours later.
Stay aware between conversations: reassess each customer as new events arrive and decide when to act.
Replace brittle rules with AI that optimizes for your outcomes — collections, bookings, retention — inside guardrails.
One person, one memory — across voice and messaging — so the agent never asks them to start over.
Whether the last touch was a call, WhatsApp, or SMS, the agent already knows the open issue, promises made, and preferred channel.
Durable memory
Permissioned · Exportable · Tenant-owned
Integrate fees, orders, appointments, and account status so every reply is grounded in the same truth your ops team trusts.
Priya Sharma
Student · Fee reminder journey
₹12,400
2 days ago
Recent thread
Proactively engage from real-time behavior — then weigh each signal against full customer context.
Payment failures, portal visits, campaign replies, and status changes stream into context so the agent can call, message, or wait with intent.
Live signals
StreamingPayment failed
UPI decline · retry window open
Portal login
Viewed fee statement 3×
Campaign reply
WhatsApp “call me after 6pm”
Context Engine reassesses each customer as new information arrives — so follow-ups are timely, relevant, and respectful of quiet hours.
Live signals
StreamingPayment failed
UPI decline · retry window open
Portal login
Viewed fee statement 3×
Campaign reply
WhatsApp “call me after 6pm”
Optimize for your outcomes with AI — while non-negotiable policies stay enforced.
Define the goal — collect, book, retain, resolve — and let the agent choose the best move from full context, not a brittle flowchart alone.
Outcome + guardrails
Goal
Collect fee without hurting NPS
Protect NPS, margins, brand voice, and escalation policy. The agent optimizes freely — but never past the boundaries you set.
Outcome + guardrails
Goal
Collect fee without hurting NPS
Every business has the data. The hard part is getting the right piece to the right agent in time to act. Context Engine turns that into a moat that grows with every interaction.
Durable, permissioned memory for every customer.
Next best action weighed against full context.
Guardrails keep outcomes inside your policy.
Transcripts are one conversation. Context Engine keeps durable customer memory across calls and channels, merges live signals, and feeds the next best action — so the agent never starts from zero.
You do. Memory is tenant-scoped, permissioned, and exportable. Pollax does not share your customer memory with other customers.
Yes. Pull identity and account fields from systems of record via tools and APIs so the agent sees the same history your team does.
You define non-negotiables — policy, margin, brand, escalation rules. The agent pursues outcomes like fee collection or bookings only inside those lines.
Yes. Context is shared with Omni-channel agents so WhatsApp, SMS, and voice stay on one thread for each customer.
Wire memory, signals, and guardrails into your agents — then watch every conversation compound.