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. Built to order by ECOSIRE for Dynamics 365 BC (build-to-order) — indicative price from $499.00 USD; request a quote for a scoped proposal.
示意预览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.
无需自行搭建——由 ECOSIRE 构建、安装并提供支持的可用应用。
以一次性构建价格开始。我们在启动时与您共同确定范围。
ECOSIRE 在您的 Dynamics 365 Business Central 上构建、配置并安装。
约 2–4 周内上线,并提供上线后的支持期。
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.
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.
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.
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.
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.
| 标准 | 伊科西尔 | 定制建造 | 竞争对手 | 奥杜本机 |
|---|---|---|---|---|
| AI resume parsing into structured BC candidate fields | 包含 | 部分支持 | 部分支持 | |
| Semantic job-to-candidate matching with fit scoring | 包含 | 部分支持 | 部分支持 | |
| Automated shortlist ranking inside native BC pages | 包含 | 部分支持 | 不包括在内 | |
| Bias-aware controls plus full decision audit logging | 包含 | 部分支持 | 不包括在内 | |
| Fitted to your hiring criteria, job templates, and compliance rules | 包含 | 包含 | 不包括在内 | |
| Installed and supported by the vendor on your tenant | 包含 | 不包括在内 | 部分支持 | |
| Dataverse / Power Platform integration (Automate + Power BI) | 包含 | 部分支持 | 部分支持 | |
| Bring-your-own AI key with isolated credential storage | 包含 | 部分支持 | 不包括在内 |
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.
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.
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.
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.
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.
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.