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Kısa bilgiler
- Fiyat
- $499.00 USD
- ERPNext versiyonları
- —
- Kurulum süresi
- 30 dk.
- Lisans
- Bir kerelik kalıcı
- Diller
- 11 language
Tek Seferlik Satın Alma
AI HR Assistant & Policy Chatbot
A conversational AI assistant, built into ERPNext, that answers employee HR-policy questions and drafts leave and payroll queries grounded in your company handbook and live ERPNext data. ECOSIRE builds, installs and supports it for you after a scoping call — this is a build-to-order engagement, not an off-the-shelf download.
$499.00USD
Şimdi ödeme yok. Bu, ekibimize bir teklif talebi gönderir — fiyat ve sonraki adımlarla e-posta ile dönüş yapacağız.
Temel Özellikler
Retrieval-augmented policy Q&A: handbook files are chunked, embedded and cited, so answers quote your actual `HR Knowledge Document` text rather than the model's general knowledge
Grounded leave-balance lookups via a whitelisted `@frappe.whitelist()` method that reads `Leave Ledger Entry` scoped to `frappe.session.user`
Latest-payslip and salary-component queries backed by read-only `Salary Slip` access, never exposing another employee's records
Custom DocTypes: `HR Knowledge Document`, `HR Assistant Conversation`, `HR Assistant Message` for auditable, threaded chat history
`hooks.py` `on_update` doc event re-indexes and re-embeds a handbook whenever a knowledge document is saved or superseded
Hourly `scheduler_events` job reconciles the vector store and prunes stale or orphaned chunks
Onboarding FAQ automation that answers new-hire questions (documents to submit, probation terms, IT setup) from your own onboarding pack
Draft generation for HR letters and employee responses — experience letters, warning letters, policy clarifications — always as a review-first draft, never auto-sent
Permission-aware answers: the assistant honors ERPNext role profiles and user permissions, so it can only surface what the employee is already allowed to read
Pluggable LLM provider (self-hosted, OpenAI, Anthropic, Azure OpenAI) configured in a single `HR Assistant Settings` DocType with no code change
Client script chat widget mounted in the Frappe desk plus an optional whitelisted REST endpoint for a portal or web-form surface
Full prompt/retrieval/answer audit log for every conversation, satisfying HR data-governance and traceability requirements
Fallback and escalation path: low-confidence or out-of-policy questions route to a human HR officer instead of hallucinating
Compatible with Frappe/ERPNext v15 and v16, delivered as a versioned, `bench`-installable app
Bu Ürün Hakkında
HR teams spend a disproportionate share of the week answering the same repetitive questions: "How many annual leave days do I have left?", "What is the notice period in my contract?", "When is the payroll cut-off this month?", "How do I claim medical reimbursement?". ERPNext already holds the underlying data in Leave Ledger Entry, Salary Slip, Employee and HR Settings, and most companies keep their rules in a handbook PDF — but ERPNext core has no conversational surface that connects the two. Employees either dig through the Frappe desk (which most non-HR staff never learn), raise a ticket, or interrupt an HR officer. ERPNext gives you the records and the workflows; it does not answer questions in plain language and it does not read your policy documents.
Neden AI HR Assistant & Policy Chatbot
Retrieval-augmented policy Q&A: handbook files are chunked, embedded and cited, so answers quote your actual `HR Knowledge Document` text rather than the model's general knowledge
Grounded leave-balance lookups via a whitelisted `@frappe.whitelist()` method that reads `Leave Ledger Entry` scoped to `frappe.session.user`
Latest-payslip and salary-component queries backed by read-only `Salary Slip` access, never exposing another employee's records
Custom DocTypes: `HR Knowledge Document`, `HR Assistant Conversation`, `HR Assistant Message` for auditable, threaded chat history
`hooks.py` `on_update` doc event re-indexes and re-embeds a handbook whenever a knowledge document is saved or superseded
Hourly `scheduler_events` job reconciles the vector store and prunes stale or orphaned chunks
ECOSIRE builds an ai_hr_assistant Frappe app that adds a chat surface inside ERPNext and grounds every answer in two sources: your uploaded handbook documents and the requesting employee's own live records. On the retrieval side we ingest handbook files attached to a custom HR Knowledge Document DocType, chunk and embed them, and store the vectors so a policy question is answered from your actual text with the source section cited — not from the model's general knowledge. On the data side, whitelisted server methods (@frappe.whitelist()) expose narrow, read-only lookups such as leave balance and latest payslip, always scoped to the logged-in user via frappe.session.user, so the model never receives raw SQL access and one employee can never read another's payroll.
Technically the app is a proper Frappe module: new DocTypes (HR Knowledge Document, HR Assistant Conversation, HR Assistant Message), a Frappe REST/whitelisted API layer for the chat client script, and hooks.py doc events that re-index a handbook whenever a HR Knowledge Document is saved. A scheduler_events hourly job reconciles embeddings and prunes stale chunks. Access is enforced with ERPNext permissions and role profiles — the assistant honors the same read rights the employee already has, and every drafted HR letter or response is a review-first draft, never an auto-sent action. The LLM provider (self-hosted, OpenAI, Anthropic or Azure) is configurable in a single HR Assistant Settings single DocType, and all prompts, retrieved chunks and answers are logged for audit.
Because scope, handbook content, integrations and the chosen LLM differ for every organisation, this is a build-to-order engagement. After a short scoping call we confirm the exact DocTypes, policies, guardrails and provider, then build against your Frappe/ERPNext v15 or v16 instance. Typical delivery is 2–4 weeks from confirmed scope. We build on staging, run UAT with your HR team, hand over the git repository and installable app, and provide a post-go-live support window. Nothing is generic: the assistant answers from your handbook, over your data, under your permission model.
Ne elde edeceksin
- Installable source code for your version of the `ai_hr_assistant` Frappe app (v15 or v16), delivered as a bench-installable package
- Installation and configuration on your instance, including LLM provider setup and initial handbook ingestion
- Technical documentation: DocType reference, whitelisted API methods, hooks and scheduler events, and provider configuration
- User guide plus a live training session for your HR team and administrators
- UAT on a staging environment with a documented test plan and a rollback plan before production cutover
- Git repository handover with full commit history and branch/tag for your release
- Post-go-live support window for defect fixes and configuration adjustments
- Prompt, guardrail and escalation configuration tuned to your policies during the engagement
Bu kimin için
HR Operations Manager
Owns the HR shared inbox and fields the same policy and leave questions every day. Needs a self-service assistant that deflects repetitive queries accurately while keeping a human escalation path and a full audit trail.
People / HRIS Administrator
Runs the ERPNext HR module and cares about permissions, data governance and provider choice. Needs the assistant to respect role profiles, keep payroll data private per user, and let them swap the LLM provider without a rebuild.
CHRO / Head of People at a scaling company
Watching headcount grow faster than the HR team. Wants to cut response time on employee questions and free officers for higher-value work, with the assistant grounded strictly in the approved handbook to avoid inconsistent guidance.
IT / ERPNext Systems Owner
Responsible for what gets installed on the Frappe bench. Needs a properly structured app with clean DocTypes, hooks and scheduler events, staging UAT, a rollback plan, and the git repository handed over for maintainability.
Kuruluma genel bakış
ECOSIRE'dan indirin
Lisansı ecosire.com adresinden satın alın ve hesap kontrol panelinizden AI HR Assistant & Policy Chatbot uygulamasının ZIP dosyasını indirin.
Uygulamayı bankınıza ekleyin
ZIP dosyasını tezgahınızın uygulamalar klasörüne çıkarın veya çıkarılan uygulamanın yolunu içeren "bench get-app" komutunu çalıştırın.
Sitenize yükleyin
AI HR Assistant & Policy Chatbot yüklemek ve şemasını uygulamak için `bench --site SITE_NAME install-app APP_NAME` komutunu ve ardından `bench move'u çalıştırın.
Lisansınızı etkinleştirin
Sitenizdeki ECOSIRE Lisans ayarlarını açın ve lisans anahtarınızı etkinleştirin. Ücretsiz ecosire_connect ve ecosire_license_client uygulamalarını gerektirir.
AI HR Assistant & Policy Chatbot Nasıl Karşılaştırılır
| Kriter | ECOSIRE | Özel Yapı | Rakip | Odoo Yerlisi |
|---|---|---|---|---|
| Policy question answering | RAG grounded on your handbook with cited sections | Depends on in-house build; often ungrounded | Generic chatbot, rarely reads your documents | |
| Live ERPNext data lookups | Whitelisted read-only methods scoped per user | Possible but must design permissions yourself | Usually no ERPNext data integration | |
| Data privacy / permissions | Honors role profiles; per-user session scoping | Only as strong as your own guardrails | Often bypasses ERPNext permission model | |
| Fit to your policies | Built to your confirmed scope and handbook | Fully bespoke but you carry all the work | One-size-fits-all, limited configuration | |
| Provider choice / self-host | Configurable: self-hosted, OpenAI, Anthropic, Azure | Whatever you wire yourself | Locked to the vendor's LLM | |
| Delivery model | Build-to-order, 2–4 weeks from scope, staging UAT | Weeks to months depending on your team | Instant install but generic | |
| Maintainability | Clean DocTypes/hooks + full git repo handover | Varies with your engineering discipline | Closed source, vendor-dependent | |
| Ongoing support | Post-go-live support window + optional contract | You own all maintenance | Subscription support, limited customization |
AI HR Assistant & Policy Chatbot hakkında Sıkça Sorulan Sorular
+Is this a ready-to-download app from the Frappe Cloud Marketplace?
No. This is a build-to-order engagement. ECOSIRE builds, installs and supports the `ai_hr_assistant` app for your specific ERPNext instance, handbook, guardrails and chosen LLM provider. There is no instant download — we build it to your confirmed scope.
+How long does delivery take?
Typical delivery is 2–4 weeks from confirmed scope. The scoping call fixes the DocTypes, policies, integrations and provider; the timeline depends on the size of your handbook, the number of data lookups, and any portal or web-form surface you want beyond the desk chat widget.
+How is employee payroll and leave data kept private?
Every data lookup runs through narrow, read-only whitelisted server methods scoped to `frappe.session.user`, and the assistant honors your existing ERPNext permissions and role profiles. The LLM never gets raw SQL access, and one employee can never read another employee's payslip or leave records.
+Will the assistant make up answers to policy questions?
Answers are retrieval-augmented and grounded in your uploaded handbook documents, with the source section cited. Low-confidence or out-of-policy questions escalate to a human HR officer rather than guessing. Drafted letters and responses are always review-first, never auto-sent.
+Which LLM provider does it use, and can we self-host?
The provider is configurable in a single `HR Assistant Settings` DocType — self-hosted/open-weight models, OpenAI, Anthropic or Azure OpenAI. If data residency requires it, we can wire a self-hosted model so no HR data leaves your environment.
+Which ERPNext versions are supported?
Frappe/ERPNext v15 and v16. We build and test against your target version and hand over a versioned, bench-installable app tagged for your release.
+What kind of support and updates do we get after go-live?
The engagement includes a post-go-live support window for defect fixes and configuration adjustments, plus the full git repository so your team can maintain or extend the app. Longer-term maintenance, version upgrades and new features can be arranged as a separate agreement.
Teklif isteyin
AI HR Assistant & Policy Chatbot
A conversational AI assistant, built into ERPNext, that answers employee HR-policy questions and drafts leave and payroll queries grounded in your company handbook and live ERPNext data. ECOSIRE builds, installs and supports it for you after a scoping call — this is a build-to-order engagement, not an off-the-shelf download.
- Retrieval-augmented policy Q&A: handbook files are chunked, embedded and cited, so answers quote your actual `HR Knowledge Document` text rather than the model's general knowledge
- Grounded leave-balance lookups via a whitelisted `@frappe.whitelist()` method that reads `Leave Ledger Entry` scoped to `frappe.session.user`
- Latest-payslip and salary-component queries backed by read-only `Salary Slip` access, never exposing another employee's records
- Custom DocTypes: `HR Knowledge Document`, `HR Assistant Conversation`, `HR Assistant Message` for auditable, threaded chat history