Quick facts
- Price
- $499.00 USD
- dynamics_365_business_central versions
- —
- Setup time
- 30 min
- License
- One-time perpetual
- Languages
- 11 languages
One-time Purchase
AI Resume Screening & Candidate Matching for Dynamics 365
AI-powered resume parsing and job-to-candidate semantic matching that ranks applicants and auto-shortlists directly inside your Dynamics 365 Business Central recruiting flow — built, installed, and supported by ECOSIRE as a per-tenant AL extension.
$499.00USD
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Key Features
LLM resume parsing (PDF/DOCX) into structured AL table fields via a background job queue — name, contact, skills, history, education, certifications
Semantic job-description-to-candidate matching that produces a numeric fit score per requisition
Automated shortlist ranking that re-orders candidate list pages so top matches surface first
Bias-aware screening: optional masking of protected attributes from the scoring prompt plus full decision audit logging
Skills-gap and fit-summary generation in plain language attached to each candidate record
Native page and table extensions on the Human Resources / candidate area — no separate app to switch into
Configurable AI gateway: bring your own Azure OpenAI / Anthropic key or use an ECOSIRE-managed endpoint, credentials in isolated storage
Dataverse / Power Platform integration so scores and shortlists feed Power Automate and Power BI
BC REST/OData v4 endpoints for pulling parsed data and scores into external ATS or recruiter tooling
Permission sets that scope visibility of AI scores, rationales, and unmasked candidate data by role
Event subscribers that trigger re-scoring automatically when a job description or candidate profile changes
Configurable matching weights (must-have skills, experience, location, certifications) tuned to your hiring criteria
About this Product
High-volume recruiting teams on Dynamics 365 Business Central lose hours manually reading resumes, re-keying candidate data, and guessing at fit. This extension brings AI screening into the native BC flow so your recruiters work the shortlist, not the inbox.
Why Choose AI Resume Screening & Candidate Matching for Dynamics 365
LLM resume parsing (PDF/DOCX) into structured AL table fields via a background job queue — name, contact, skills, history, education, certifications
Semantic job-description-to-candidate matching that produces a numeric fit score per requisition
Automated shortlist ranking that re-orders candidate list pages so top matches surface first
Bias-aware screening: optional masking of protected attributes from the scoring prompt plus full decision audit logging
Skills-gap and fit-summary generation in plain language attached to each candidate record
Native page and table extensions on the Human Resources / candidate area — no separate app to switch into
ECOSIRE builds this as a per-tenant AL extension installed directly on your Business Central environment (cloud or on-prem). It adds page and table extensions to the Human Resources / candidate records, an AI parsing engine, and a scoring layer that surfaces ranked candidates inside the pages your team already uses.
How it works. When a resume (PDF/DOCX) is attached to a candidate, a job queue entry hands the document to an LLM that extracts structured fields — name, contact, skills, employment history, education, certifications — and writes them back to custom AL tables via table extensions. A semantic matching pass compares each candidate's profile against the target job description and produces a fit score, a skills-gap summary, and a plain-language rationale. An automated shortlist ranking ordering then sorts candidates so recruiters see the strongest applicants first.
Built honestly, integrated properly. The AI calls are routed through a configurable gateway (your Azure OpenAI / Anthropic key, or an ECOSIRE-managed endpoint) with credentials held in isolated storage. Data exchange uses the BC REST/OData v4 API and supports Dataverse / Power Platform integration so screening results can feed Power Automate flows or a Power BI hiring dashboard. Permission sets scope who can view scores and rationales. Bias-aware controls let you mask protected attributes from the scoring prompt and log every decision for audit.
This is build-to-order: scoped to your recruiting process, your job templates, and your compliance rules — not a generic one-size download. ECOSIRE delivers, installs, validates in a sandbox, and supports it after go-live.
What you get
- Per-tenant AL extension (.app) built to your recruiting process, installed on your Business Central sandbox then production
- Page and table extensions on the HR/candidate area plus custom scoring and parsing tables
- Configured AI gateway wiring (your Azure OpenAI/Anthropic key or ECOSIRE-managed endpoint) with isolated credential storage
- Permission sets for recruiter, hiring-manager, and admin roles
- Job queue setup for asynchronous resume parsing and re-scoring
- Optional Power Platform package: Power Automate flow templates and a Power BI hiring dashboard wired to Dataverse
- Source AL code, deployment package, and an admin/user runbook documenting configuration and matching weights
- Sandbox validation sign-off and post-go-live hypercare support window
Who this is for
Staffing Firm Operations Lead
Runs high-volume req pipelines on Business Central and needs AI to triage hundreds of inbound resumes into ranked shortlists without adding headcount or a second ATS.
In-House Talent Acquisition Manager
Wants screening, fit scoring, and skills-gap summaries inside the BC records the team already lives in, with bias controls and audit logs to satisfy HR compliance.
BC IT / Solution Administrator
Owns the tenant and cares about clean per-tenant extension deployment, permission-set scoping, controlled AI credentials, and OData/Dataverse integration rather than bolt-on SaaS.
Installation overview
Download from ECOSIRE
Buy the license on ecosire.com and download the AI Resume Screening & Candidate Matching for Dynamics 365 module ZIP from your account dashboard.
Upload to Odoo
Extract the ZIP into your Odoo custom addons folder on the server (or upload via Apps > Install from file on Odoo.sh / runbot).
Install the module
Activate Developer Mode, open Apps, click Update Apps List, search for AI Resume Screening & Candidate Matching for Dynamics 365, and press Install.
Configure settings
Open the new menu, paste your ECOSIRE license key, connect any external credentials (Shopify, Amazon, Stripe, etc.), and save.
Verify & go live
Run the built-in connection test, sync your first 10 records, and schedule the recurring cron. Contact support if anything fails.
How AI Resume Screening & Candidate Matching for Dynamics 365 Compares
| Criterion | ECOSIRE | Custom Build | Competitor | Odoo Native |
|---|---|---|---|---|
| AI resume parsing into structured BC candidate fields | ||||
| Semantic job-to-candidate matching with fit scoring | ||||
| Automated shortlist ranking inside native BC pages | ||||
| Bias-aware controls plus full decision audit logging | ||||
| Fitted to your hiring criteria, job templates, and compliance rules | ||||
| Installed and supported by the vendor on your tenant | ||||
| Dataverse / Power Platform integration (Automate + Power BI) | ||||
| Bring-your-own AI key with isolated credential storage |
Frequently Asked Questions about AI Resume Screening & Candidate Matching for Dynamics 365
+Is this an instant download from Microsoft AppSource?
No. This is a build-to-order per-tenant AL extension. ECOSIRE scopes it to your recruiting process, builds it, validates it in your Business Central sandbox, then installs it in production. There is no instant AppSource link — you get a solution fitted to your job templates, matching criteria, and compliance rules.
+What is the typical delivery lead time?
Most builds are delivered in roughly 3 to 5 weeks from a confirmed scope, depending on the complexity of your matching rules, Power Platform/Dataverse integration, and compliance requirements. We confirm a firm timeline after a short discovery call, then deliver in stages: sandbox build, validation sign-off, production install.
+How are ongoing support and updates handled?
After go-live you get a hypercare window plus an ongoing support arrangement. ECOSIRE maintains the extension against new Business Central release waves, adjusts matching weights as your hiring needs change, and updates the AI gateway or model configuration when needed. Support and update terms are agreed before delivery.
+Which AI model and credentials does it use, and is candidate data safe?
The extension routes AI calls through a configurable gateway — you can bring your own Azure OpenAI or Anthropic key, or use an ECOSIRE-managed endpoint. Credentials are held in isolated storage, never in plain AL code. Bias-aware controls can mask protected attributes from the scoring prompt, and every screening decision is logged for audit.
+Does it work with our existing Power Platform and reporting?
Yes. Parsed fields and fit scores are exposed via the BC REST/OData v4 API and can sync to Dataverse, letting you drive Power Automate flows and a Power BI hiring dashboard. We can deliver an optional Power Platform package with flow templates and a dashboard as part of the build.
Why Customers Trust ECOSIRE
SOC 2 Aligned
GDPR Compliant
Secure Stripe Payment
30-Day Money Back
Lifetime Updates
LGPL-3.0 License
Related Modules
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AI Resume Screening & Candidate Matching for Dynamics 365
AI-powered resume parsing and job-to-candidate semantic matching that ranks applicants and auto-shortlists directly inside your Dynamics 365 Business Central recruiting flow — built, installed, and supported by ECOSIRE as a per-tenant AL extension.
- LLM resume parsing (PDF/DOCX) into structured AL table fields via a background job queue — name, contact, skills, history, education, certifications
- Semantic job-description-to-candidate matching that produces a numeric fit score per requisition
- Automated shortlist ranking that re-orders candidate list pages so top matches surface first
- Bias-aware screening: optional masking of protected attributes from the scoring prompt plus full decision audit logging