Solution
Intelligent customer support lifecycle
Accurate answers from your live data. Clear timelines customers can trust. And proof — a record you can show when customers, regulators, or leadership ask what happened.
Minutes → weeks
Case durability without losing state
One case ledger
Voice, chat, email, web in one truth
Quality scorecards (IQA) every touch
Conversation quality is operational, not gut feeling
Proof on demand
Which policy version, when, outcome
From queues without memory to case-centric events
Legacy support runs on ticket IDs, channel-specific playbooks, and CRM fields that never quite match the conversation. Sentient Agents replaces "one queue per channel" with a continuous decision loop — signals in, context built, agent decides, guardrails enforce, deterministic actions, wait for reality, repeat.
Legacy — queues & silos
Cold starts
Each touch ignores prior context — customers repeat themselves every time.
Siloed channels
Chat promise ≠ email thread ≠ phone notes — conflicting guidance, trust collapse.
SLA theater
Clocks tick without system truth — breach notifications that feel unfair.
Weak proof
No consistent QA story — regulatory risk and brand inconsistency.
Sentient — case & events
Real-time signals
Payment, shipment, and case truth before the next promise.
One conversation + case model
Voice, chat, email, web all reference the same case and prior context.
Calendar-aware scheduling
Regulatory windows, follow-ups, and SLA clocks modeled explicitly.
Guardrails + governance + proof
Measurable improvement, not silent drift — policy flags on every record.
Tracked against real dates and deadlines
Same lifecycle, different nouns
Support is the work of restoring confidence — answers that match reality, commitments that survive handoffs, and outcomes that can be explained when emotions run high. The same intake → diagnose → act → wait for reality → prove pattern appears in every vertical. Integrations and policy packs change; mechanics stay aligned.
Retail & e-commerce
What breaks
Orders, shipments, refunds
Connects to
OMS, WMS, payments, loyalty
Travel & hospitality
What breaks
Itineraries, disruptions, compensation
Connects to
PNR, policy rules, partner SLAs
Telco & utilities
What breaks
Plans, outages, billing
Connects to
Network events, usage, field ops
Healthcare (service)
What breaks
Access, coverage, billing nav
Connects to
EHR/billing, privacy tooling
Insurance (policy service)
What breaks
Claims status, coverage questions
Connects to
Policy admin, FNOL, fraud signals
SaaS & technology
What breaks
Bugs, entitlements, onboarding rescue
Connects to
Product telemetry, IAM, contracts
Logistics & mobility
What breaks
Shipments, driver issues, safety
Connects to
Tracking, dispatch, incident workflows
Financial services
What breaks
Servicing, complaints, disputes, hardship
Connects to
Core banking, identity, regulatory clocks
Platform in conversation
9 industries, one platform
Banking, e-commerce, travel, telco, healthcare, SaaS, insurance, logistics.
Aria · Web chat
Card dispute, regulatory clock running — Sunita reports an unrecognised ₹4,200 charge on her credit card via web chat. The agent authenticates her, raises a formal dispute as a tool action, explains RBI liability rules, and gives her a trackable reference — no hold queue needed.
Hover to pause · click any industry above · auto-advances through all 9
The support journey
Five stages — one continuous case
Cases enter through inbound and system-driven paths — both are normal. What matters is a single case ledger so every channel references the same truth. Playbooks are strategies, not brittle scripts.
Entry
Inbound & signals
Customers open chat, email, or call at 9:12; a shipment webhook opens a proactive case at 9:13. Both land in one case ledger — prior purchases, open complaints, recent failed payments all visible.
Triage & auth
Right depth, right path
Operators define strategies — triage depth, self-serve first vs assisted paths, escalation thresholds. Platinum vs standard, language, and product line route to different agents without forking code.
Execute
Tools & channels
Agents propose; guardrails enforce. A pending refund becomes a dated expectation with wait/verify behavior — not a vague CRM note — until money movement confirms.
SLA & waits
Calendar truth
First-response windows, resolution clocks, follow-ups after no-reply, regulatory spacing — modeled explicitly, not as accidental chat length. State survives restarts because it belongs to the workflow layer.
Terminal outcomes
Documented exits
Resolved, resolved with remedy, escalated to specialist, withdrawn, duplicate, or chronic/vulnerable routing. Each exit carries documentation implications — especially in financial services.
Terminal outcomes — every case closes into one of these
Financial services
What "great" must include in regulated support
Financial services buyers ask for outcomes that sound operational but are deeply trustproblems. These six requirements map cleanly to the platform's governance layer — same primitives as every other vertical, calibrated for servicing, complaints, disputes, hardship, and identity-sensitive workflows.
Truth from systems of record
Balances, transactions, disclosures, and timelines that match what the customer sees in the app — not stale CRM fields.
Complaints & regulatory clocks
Acknowledgements within mandated windows, versioned documentation, and compliance templates with severity flags that survive supervisory review.
Vulnerability-aware routing
Not just sentiment — policy for how to escalate and what not to automate. Hardship signals trigger human review before the agent continues.
Fraud & social engineering resistance
Guardrails prevent "helpful" agents from bypassing authentication or leaking sensitive patterns — even under pressure.
Disputes — cards, ACH, and beyond
Tool actions and case records tie evidence to the dispute; he-said/she-said becomes a timestamped audit trail.
Evidence on demand
What was said, what was offered, which template version applied — retrievable for internal QA and supervisory review.
Not only banks: financial services sits alongside retail banking as a high-trust variant. The same customisation primitives — suites, templates, events, tools — apply to insurance service, wealth ops, and adjacent regulated verticals. The integrations and policy packs change; the mechanics stay aligned.
Governed improvement, not silent drift
Self-evolvingmeans operational learning with controls, not a model silently changing phrasing. Conversation quality scorecards (IQA) define weighted dimensions so quality is repeatable — not someone's gut. Template and agent lifecycles ensure changes are traceable.
One touch
Realtime
- ✓Ingress + routing
- ✓Agent + guardrails
- ✓Channels / tools
Minutes to hours
Near-line
- ✓Conversation quality scorecards (IQA) + analysis
- ✓Compliance template evaluation
- ✓Scores & flags on record
Days to quarters
Slow loop
- ✓Template & agent revisions
- ✓Human calibration
- ✓Coaching & program KPIs
Conversation quality scorecards (IQA) — what good looks like, made repeatable
Weighted dimensions (empathy, clarity, resolution quality, disclosure completeness) run on every interaction, scoped to suites — e.g., support vs sales. Human calibration closes the loop when models and phrasing must track local regulation and brand nuance.
Memory that matches business reality
Short-term
Active session — coherent troubleshooting this conversation
Long-term & profile
Stable customer facts; respect prior commitments
Case & conversation store
The journey is the unit of truth — not one chat window
Intelligence artifacts
Scores, flags, analyses — operational memory for coaching & audits
The platform does not pretend that one chat window equals business truth. It binds memory to cases, tools, and documents — the same architectural stance that makes long-running service work auditable.
White papers & sneak-peek demos
Separate narratives for financial services and non-financial audiences. Drop PDFs into public/whitepapers/ when ready.
Intelligent customer support lifecycle
Servicing, complaints, disputes, hardship, and identity-sensitive workflows — truth from systems of record, template versioning, and supervisory-ready evidence.
Download PDFPlace file at public/whitepapers/intelligent-customer-support-lifecycle-financial.pdf
Support across retail, travel, telco, SaaS & more
Same case + conversation + reliable workflows + governance story — retail orders, travel disruptions, SaaS entitlements, and adjacent verticals without core-banking framing.
Download PDFPlace file at public/whitepapers/intelligent-customer-support-lifecycle-general.pdf
Sneak-peek demo videos
Placeholder players — wire YouTube, Vimeo, or Mux embeds in production.
Support lifecycle walkthrough
Ingress through terminal outcomes — case creation, omnichannel outreach, and SLA-aware waits.
Request full demo reel →Specialist handoffs & approvals
Vulnerability routing, summary-first context for tier-2, approval flow, and full audit trace.
Request full demo reel →Conversation quality (IQA) & compliance console
Scorecards, compliance template flags, and calibration workflows — quality that's operational, not anecdotal.
Request full demo reel →Accurate answers. Clear commitments. Proof when it counts.
Intelligent customer support is not more automation for its own sake. It is proof when customers, regulators, or executives ask what happened — with reliable long-running workflows, omnichannel execution, and governance as first-class capabilities.