Centralised client and consultation management
Client profiles, consultation history, appointments and communication are managed in one product workflow.
Digital product case study
Astral Foresight
Cross platform consultation, AI assisted reports and real time engagement for a Jyotish practice.
Astral Foresight is a Jyotish consultation business built to help Pandit ji manage clients, consultations, reports, and follow ups through a modern digital platform. The business needed a cross platform application that could support both client engagement and practice management.
Project classification: This project showcases a cross platform consultation and client engagement product for a Jyotish practice.
Faster preparation of repeatable report formats
AI assisted templates reduce repeated preparation across consultation summaries and guidance formats.
More consistent appointment and follow up workflows
Booking, notifications and follow up tools support a more consistent client journey.
01 / Business context
Who needed the solution
Astral Foresight is a Jyotish consultation business built to help Pandit ji manage clients, consultations, reports, and follow ups through a modern digital platform. The business needed a cross platform application that could support both client engagement and practice management. Clients needed an easier way to book appointments, ask questions, receive Jyotish guidance, and connect with Pandit ji in real time. At the same time, the Jyotish consultation team needed a centralized system to manage client records, generate reports, handle communication, and support users across multiple countries.
02 / Challenge
What needed to change
The main challenge was that the Jyotish consultation business did not have a structured digital system to manage growing client demand and consultation workflows.
Consultations were managed across calls and messaging appsClients mostly connected through calls, WhatsApp, and informal messaging channels.
Client records and histories were scatteredClient records were scattered and difficult to maintain in one place.
Report preparation required repeated manual effortKundali analysis and Jyotish report preparation required significant manual effort.
Appointment coordination and follow up were unstructuredAppointment scheduling was unstructured and depended on manual coordination.
International client engagement was difficult to manage consistentlyInternational client onboarding was difficult to manage consistently.
03 / Workflow transformation
Before and after
Previous workflow
- Consultations were managed across calls and messaging apps
- Client records and histories were scattered
- Report preparation required repeated manual effort
- Appointment coordination and follow up were unstructured
- International client engagement was difficult to manage consistently
Structured workflow
- Centralise onboarding and profiles
- Generate AI assisted reports
- Enable booking and communication
- Operate recurring engagement
- Review structured outputs
04 / Solution
How we approached it
We designed Astral Foresight as an AI enabled Jyotish and client engagement platform with cross- platform access for users and a structured management layer for the consultation business. The solution combined client onboarding, AI based Jyotish report generation, appointment booking, in app communication, secure calling, subscription workflows, and chatbot based support.
Centralise onboarding and profiles
Create one client record for consultations, details, history and follow up.
Generate AI assisted reports
Support repeatable Jyotish report formats and personalised guidance preparation.
Enable booking and communication
Bring appointment requests, chat and secure calling into the product.
Operate recurring engagement
Support subscriptions, notifications and continuous client interaction.
05 / Example workflow
From input to reviewable output
1Centralise onboarding and profiles
2Generate AI assisted reports
3Enable booking and communication
4Operate recurring engagement
5Review generated guidance
6Practitioner consultation and follow up
06 / Delivery scope
What the delivery covered
Business and product workflow
- Cross Platform Client Engagement Layer
- Multi Nation Client Onboarding
- AI Based Jyotish Report Generation
AI, data and automation
- Structured AI workflow
- Data processing and validation
Application and cloud engineering
- React
- React Native
- Node.js
- AWS
Scope boundary
AI assisted content supports practitioner preparation and review; it does not provide scientific, medical or guaranteed predictive validation.
07 / Architecture and controls
How the system is organised
React
React Native
Node.js
AWS
Amazon SES
Professional review boundary
AI assisted reports support the practitioner and do not replace professional consultation or guarantee outcomes.
Authenticated client access
Client profiles, appointments and communication are managed through authenticated product workflows.
Communication controls
In app chat, calling and notifications keep consultation activity within a structured client journey.
08 / Business value
Expected operational value
1Projected
Centralised client and consultation management
Client profiles, consultation history, appointments and communication are managed in one product workflow.
2Projected
Faster preparation of repeatable report formats
AI assisted templates reduce repeated preparation across consultation summaries and guidance formats.
3Projected
More consistent appointment and follow up workflows
Booking, notifications and follow up tools support a more consistent client journey.
4Projected
In app communication across the client journey
Chat and calling features keep communication connected to the client record.
5Projected
A scalable foundation for international and recurring engagement
The cross platform architecture supports recurring services, subscriptions and future expansion.
09 / Technology
Every component, with its role in the delivery.
Technology choices from the supplied project brief, mapped to the workflow each component supports.
React
Reviewer or product user interface
React Native
Cross platform mobile application
Node.js
Backend and integration services
AWS
Cloud infrastructure and managed services
Amazon SES
Transactional email and alert delivery
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