Cashlume
Financial operations for growing Indian businesses.
- Live multi-bank cash position
- Auto-matching with confidence scores
- GST-ready invoicing and reminders
An AI support agent that knows your business and asks before it acts.
An AI support agent grounded in your help center, policies and live order data. It drafts cited answers, takes approved actions like refunds, and hands off to humans with full context.
Order status, returns, delivery dates and invoices make up the bulk of tickets. Agents copy-paste from macros and switch between five tabs to find an order. Generic chatbots either hallucinate or deflect.
Ansora retrieves from approved sources only, calls tools like Shopify or the shipping provider, cites what it used, and follows playbooks with explicit limits. Anything outside them goes to a person.
Real interface states, drawn as working UI — not stock illustrations. Switch between screens.
A drafted reply with citations, the data sources used, and the actions the agent is allowed to take.
Connected sources, sync status, coverage and the questions that still lack a good answer.
A refund playbook as explicit steps, with guardrails and a dry-run trace.
The customer side: instant answers with actionable cards and a clear way to reach a person.
Hybrid search (vector + keyword) over approved sources, with citations on every claim.
Typed tools for order lookup, address change, refunds and tracking — each with its own permissions.
Confidence and policy thresholds decide whether to send, draft for approval, or escalate.
Website widget, WhatsApp and email feed one inbox with shared context.
PII redaction, topic limits, tone rules and spend caps per playbook.
A regression set of real questions scored on every prompt or model change before release.
Clusters unanswered questions so the team knows exactly what to document next.
Help center, docs and Shopify connected with read-only scopes.
Run 200 historical tickets through the evaluation suite.
Agent drafts, humans approve — trust is earned per topic.
Topics with consistently approved drafts move to auto-send.
People spend their time on the conversations that need judgment.
A stack chosen for this product's constraints — realtime, offline, compliance or AI — not a default template.
If this were your product, this is the scope we'd propose for a first release that proves value — with everything else in a ranked backlog.
About outcomes. Ansora is a concept product, so we don't publish usage or performance numbers for it. When we show client work, it will come with real, verifiable outcomes.
Financial operations for growing Indian businesses.
A CRM that tells the team what to do next.
Every shipment, vehicle and exception on one live map.
Tell us about your users and the problem. We'll come back with how we'd approach it and what a first version could include.