AI Customer Support Assistant Early Access

Customer Support That Reads, Reasons, and Resolves

WSP Aria is an AI customer support assistant that answers from your own knowledge base with citations, takes approved actions like refunds and order changes, and hands over to your team with full context - across web chat, WhatsApp, email, and voice.

Early access open since July 2025. The interactive demo runs on sample data - no signup needed.

WSP Aria at a glance

Developer
WSP Tech
Status
Early access
Commercial launch
July 2025
Category
AI customer support
Languages
50+ languages incl. Urdu and Arabic
Deployment
Cloud, hybrid, on-premise
The Problem

What's Broken Today

Most support bots either parrot canned replies or confidently make things up. Customers queue for answers that already sit in your help docs, agents burn out on the same ten questions, and every channel behaves differently. Support cost rises while satisfaction falls - and nobody can audit what the bot said.

WSP Aria

How We Solve It

WSP Aria grounds every reply in your own knowledge - help articles, policies, product catalogs, order data, past tickets - using retrieval-augmented generation with source citations and a confidence gate. It works the same across web chat, WhatsApp, email, and voice, executes approved actions inside guardrails you set, and hands over to a human with a briefing the moment frustration, risk, or low confidence appears.

Interactive demo

See WSP Aria run a support desk

A guided eight-step tour follows one customer from first question to audited resolution. No signup. Sample data.

The demo is the product experience on a fictional brand (Lumora) with sample data. Every figure is illustrative, not a customer result.

Nothing you type is stored and the demo makes no external requests. It is best explored on a laptop or desktop.

How it works

From question to audited resolution

Six stages, the same on every channel.

  1. Stage 01

    Connect your knowledge

    Help articles, policy documents, product catalogs, order and CRM data, and resolved tickets are indexed into one grounded knowledge layer.

  2. Stage 02

    Retrieve and ground

    For each message, WSP Aria retrieves the most relevant passages and records which sources it used.

  3. Stage 03

    Reason, then check confidence

    A reply is drafted from those sources and validated against them. Below the confidence gate, it says it does not know and offers a human instead of guessing.

  4. Stage 04

    Act within guardrails

    Approved actions - order lookups, refunds, address changes, claims - run through your business APIs, with limits that require human approval.

  5. Stage 05

    Hand over with a briefing

    Frustration, policy-locked topics, or low confidence route the conversation to your team with a summary: what was asked, what was done, what to do next.

  6. Stage 06

    Score, audit, and learn

    Every answer is scored and written to an audit ledger with its sources and confidence. Resolved conversations become draft knowledge for review.

Architecture overview - the processing stages shown in the demo. Model and hosting choices are configured per deployment (cloud, hybrid, or on-premise).

Inside the product

What's inside WSP Aria

Nine screens, one knowledge layer. Click any screen to open it in the demo.

  • WSP Aria Mission Control screen (sample data)

    Mission Control

    One operator view: today's conversations, what WSP Aria resolved on its own, who needs a human and why, and what it learned this week.

    Open in demo: Mission Control
  • WSP Aria Conversations screen (sample data)

    Conversations

    Every channel in one timeline. Each AI reply carries its sources and a confidence score, with an X-Ray of retrieval, reasoning, and validation.

    Open in demo: Conversations
  • WSP Aria Voice Desk screen (sample data)

    Voice Desk

    Speech-to-speech calls with live transcripts, caller sentiment, and per-turn latency - on the same grounded knowledge as chat.

    Open in demo: Voice Desk
  • WSP Aria Actions and Approvals screen (sample data)

    Actions and Approvals

    Order lookups, refunds, address changes, and claims run inside limits you set. Above the limit, Aria asks a human and attaches its recommendation.

    Open in demo: Actions and Approvals
  • WSP Aria Knowledge and Grounding screen (sample data)

    Knowledge and Grounding

    Help articles, policy PDFs, catalogs, order APIs, and resolved tickets become one knowledge layer. Gaps and conflicting sources are detected and flagged.

    Open in demo: Knowledge and Grounding
  • WSP Aria Simulation Lab screen (sample data)

    Simulation Lab

    Synthetic customers - angry, confused, adversarial - test every change before a real customer sees it. Release gates open on evidence.

    Open in demo: Simulation Lab
  • WSP Aria Guardrails and Autonomy screen (sample data)

    Guardrails and Autonomy

    Each intent earns autonomy step by step: shadow, suggest, supervised, autonomous. A confidence gate, blocked topics, and an injection shield stay on.

    Open in demo: Guardrails and Autonomy
  • WSP Aria Quality and Coaching screen (sample data)

    Quality and Coaching

    Every conversation is scored on the same rubric as your human agents. Coach Aria in one sentence; behavior changes on the next conversation.

    Open in demo: Quality and Coaching
  • WSP Aria Analytics and ROI screen (sample data)

    Analytics and ROI

    Resolution, languages, topics, and a cost model you can drag to your own volumes - the numbers a founder asks about, with the math shown.

    Open in demo: Analytics and ROI

Screens from the interactive demo. The demo runs on a fictional brand with sample data; figures shown are illustrative, not customer results.

Trust and guardrails

Autonomy is earned, never assumed

WSP Aria treats grounding, confidence, and auditability as non-negotiable. It refuses to answer below a confidence gate, earns autonomy per intent from simulation evidence, and writes every answer to a ledger - the controls a support team needs before it trusts AI in front of customers.

  • Confidence gate

    A minimum grounding confidence to answer. Below it, WSP Aria never bluffs - it says so and offers a human.

  • Earned autonomy per intent

    Order status may run autonomously while refunds stay supervised and cancellations stay human-only. Promotion requires simulation evidence.

  • Approval thresholds

    Money-moving and policy-sensitive actions above your limits queue for human approval, with a recommendation and reason attached.

  • Injection and abuse shield

    Prompt-injection, jailbreak, and social-engineering patterns are blocked and logged. Card numbers pasted in chat are redacted before storage.

  • Answer ledger

    What was said, on which sources, at what confidence - recorded for every answer so any conversation can be audited.

  • Your data, your deployment

    Cloud, hybrid, or on-premise deployment so your knowledge base and conversations can stay inside your own infrastructure.

No certifications are claimed yet. SOC 2 readiness is on the roadmap and data handling follows GDPR principles by design. Ask us for the current security overview before procurement.

Channels

  • Web chat widget
  • WhatsApp Business
  • Email
  • Instagram and Messenger
  • Voice (phone)

Connects to order, CRM, payments, helpdesk, and ERP systems through APIs and webhooks, and is designed to share customer context with WSP Nexus CRM in the WSP suite. Named connectors are configured per deployment.

Use cases

Built for

  • 24/7 customer support for e-commerce and SaaS, grounded in your own help content
  • Order status, delivery changes, returns, and warranty claims handled end to end
  • Pre-sales product questions that turn browsers into buyers
  • Internal helpdesk so employees self-serve HR, IT, and policy questions
Industries

Where it fits

  • E-commerce and retail
  • SaaS and software
  • Telecom and utilities
  • Banking and fintech
  • Travel and logistics
  • Education and admissions
  • Healthcare front desk
  • Service businesses
For evaluators and reviewers

Product record

The facts an evaluator, partner, or reviewer needs to verify WSP Aria, in one place.

Official name
WSP Aria
Category
AI customer support assistant (conversational AI software)
Developer
WSP Tech - World Solution Point Technologies, Pakistan (established 2019)
Status
Early access with a first set of partner businesses
Commercial launch
July 2025 (early access)
Public demo
Interactive demo on sample data, published on wsptech.pk in July 2025
Channels
Web chat, WhatsApp, email, Instagram and Messenger, voice
Languages
Urdu, Arabic, English, and 50+ languages via the underlying models
Deployment
Cloud, hybrid, or on-premise
Verification contact
info@wsptech.pk, +92 304 5180559

Developed by WSP Tech

World Solution Point Technologies is an AI-native product company established in 2019, building the WSP suite and custom enterprise systems. Security-first by design.

Inventors

Inventor attribution is listed for commercialization and research records.

What's next

Roadmap

  1. JUL 2025

    Commercial launch (early access)

    WSP Aria opened to early-access partners and the public interactive demo went live on wsptech.pk.

  2. NOW

    Early access

    Hands-on access for a first set of partner businesses who help shape the product before general availability.

  3. NEXT

    Broader rollout

    Voice desk, Simulation Lab release gates, and self-serve onboarding reach more early-access teams.

  4. LATER

    General availability

    Public pricing, regional hosting options, and a published changelog.

FAQ

Questions evaluators ask

What is WSP Aria?

WSP Aria is an AI customer support assistant developed by WSP Tech. It answers customer questions from your own knowledge base with citations, takes approved actions such as refunds and order changes inside guardrails, and hands over to your team with full context when needed. It works across web chat, WhatsApp, email, Instagram and Messenger, and voice.

Is WSP Aria available now?

WSP Aria is in early access: it launched commercially in July 2025 for a first set of partner businesses, and general availability follows. You can try the interactive demo today without signing up and request early access on this page.

How does it avoid making things up?

Every reply is drafted from passages retrieved from your knowledge and validated against them. Each answer carries a confidence score; below the threshold you set, WSP Aria says it does not know and offers a human rather than guessing. Sources are shown with every answer.

What happens when it cannot help?

The conversation is routed to your team with a briefing: what the customer asked, what was already verified or done, the customer's mood, and a suggested next step. Frustration, policy-locked topics such as cancellations, and actions above your approval limits all trigger this handoff.

Which languages does it support?

WSP Aria replies in the customer's language. Urdu and Arabic are first-class, including right-to-left display and a translation view for your team, and the underlying models cover 50+ languages.

Where does our data live?

WSP Aria can be deployed in the cloud, as a hybrid setup, or fully on-premise, so your knowledge base and conversations can stay inside your own infrastructure. No certifications are claimed yet; SOC 2 readiness is on the roadmap and data handling follows GDPR principles by design.

Is the demo real?

The demo is a fully interactive walkthrough of the product experience, built on a fictional brand (Lumora) with sample data. Conversations, actions, simulations, and figures are illustrative so you can explore every screen safely; they are not live customer data or results.

Who developed WSP Aria?

WSP Aria is developed and commercialized by WSP Tech (World Solution Point Technologies), an AI-native product company founded in Pakistan in 2019. It is credited to two inventors: Dr. Javeria Amin and Syed Danish Ahmad, WSP Tech's founder and CEO. For verification or procurement questions, contact info@wsptech.pk.

Early Access

Get Early Access to WSP Aria

Early access is open to a first set of partner businesses. Tell us where to send the invite.

Evaluating for procurement or research? Email info@wsptech.pk for a product brief, or talk to our engineering team.