イメージプレビューA custom-built AL extension that adds an AI Copilot to Business Central
— natural-language queries over your ledger data, anomaly and fraud detection, cash-flow forecasting and automated variance narratives. Built, installed per-tenant and supported by ECOSIRE.
AI Copilot Insights & Anomaly Detection for Business Centralとは？
A custom-built AL extension that adds an AI Copilot to Business Central — natural-language queries over your ledger data, anomaly and fraud detection, cash-flow forecasting and automated variance narratives. Built, installed per-tenant and supported by ECOSIRE. Built to order by ECOSIRE for Dynamics 365 BC (build-to-order) — indicative price from $999.00 USD; request a quote for a scoped proposal.
主な機能
受注生産、すべておまかせ
自分での設定は不要 — ECOSIRE が構築・インストール・サポートする実働アプリです。
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ご注文
一回限りの構築料金から始めます。キックオフで一緒に範囲を決めます。
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構築とインストール
ECOSIRE がお客様の Dynamics 365 Business Central 上で構築・設定・インストールします。
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本番稼働 + サポート
約1週間（営業日ベース）で稼働し、本番稼働後2週間のサポートが付きます。納品したコードの不具合は無償で修正します。
この製品について
AI Copilot Insights & Anomaly Detection is a build-to-order extension for Microsoft Dynamics 365 Business Central, written in AL and installed as a per-tenant extension on your own environment — not an instant AppSource download. ECOSIRE scopes it to your chart of accounts, dimensions and posting groups, builds it, deploys it, and supports it.
The extension gives CFOs and controllers a finance-aware AI layer that sits directly on top of native Business Central data. A page extension adds an "Insights" FactBox and an AI Copilot action to the Role Center and key finance pages (Chart of Accounts, Customer/Vendor cards, Cash Flow Setup). Behind it, AL event subscribers capture G/L entries, customer ledger entries and posted documents as they happen, while a job queue entry runs scheduled anomaly scans and forecast refreshes.
The Copilot answers natural-language questions ("which cost centres overspent budget last quarter?") by translating intent into safe, parameterized queries against your tables and the Business Central OData/REST API — never free-form SQL. Anomaly and fraud detection flags duplicate payments, out-of-band journal entries and unusual posting patterns. Cash-flow and sales forecasting blends ledger history with open documents, and every variance is paired with an automated narrative explaining the "why."
Inference can run against the AI provider you choose (Azure OpenAI in your own subscription, or Microsoft Copilot infrastructure), wired through Dataverse / Power Platform where you want Power BI and Power Automate to consume the signals. ECOSIRE provisions permission sets so only authorized finance roles see insights, and respects your data-residency boundaries. Everything is delivered as versioned AL source you own, with a documented upgrade path as your Business Central environment moves through Microsoft's release waves.
得られるもの
- A per-tenant AL extension (.app) built, versioned and installed on your Business Central environment by ECOSIRE
- Full AL source code that you own, in a Git repository handed over at delivery
- Configured event subscribers, job queue entries and Role Center page extensions wired to your finance setup
- Permission sets and a documented role-mapping so insights are scoped to authorized users
- Connection setup to your chosen AI provider (Azure OpenAI in your subscription or Microsoft Copilot) and optional Dataverse/Power Platform wiring
- Admin and end-user documentation plus a handover/training session, and a documented Microsoft-release-wave upgrade path
これは誰のためのものですか
CFO / Finance Director
Wants AI-driven, plain-language insight into cash flow, variances and risk on top of Business Central without exporting data to spreadsheets or third-party BI silos.
Financial Controller
Needs early warning on anomalies, duplicate payments and out-of-band journals, plus automated variance narratives to speed up month-end close and review.
Business Central Administrator
Responsible for a clean per-tenant extension, correct permission sets, job queue health and a supported upgrade path through Microsoft's release waves.
AI Copilot Insights & Anomaly Detection for Business Central の比較方法
| 基準 | エコシエール | カスタムビルド | 競合他社 | Dynamics 365 Business Central 標準機能 |
|---|---|---|---|---|
| Finance-specific anomaly and fraud detection (duplicate payments, out-of-band journals) | 付属 | 部分的なサポート | 部分的なサポート | 含まれていない |
| Natural-language queries restricted to safe parameterized data access (no free-form SQL) | 付属 | 部分的なサポート | 部分的なサポート | 部分的なサポート |
| Installed as an upgrade-safe per-tenant AL extension and supported by the vendor | 付属 | 部分的なサポート | 付属 | 付属 |
| Tailored to your chart of accounts, dimensions and posting groups | 付属 | 付属 | 含まれていない | 部分的なサポート |
| Late-payment risk scoring and automated variance narratives | 付属 | 部分的なサポート | 部分的なサポート | 含まれていない |
| You own the full AL source code with no lock-in | 付属 | 付属 | 含まれていない | 含まれていない |
| Choice of inference provider (Azure OpenAI in your subscription vs Microsoft Copilot) with data-residency control | 付属 | 部分的なサポート | 含まれていない | 部分的なサポート |
| Dataverse / Power Platform integration for Power BI and Power Automate | 付属 | 部分的なサポート | 部分的なサポート | 部分的なサポート |
AI Copilot Insights & Anomaly Detection for Business Central に関するよくある質問
How long until it is live on our Business Central environment?
This is a build-to-order extension, not an instant AppSource install. After a short scoping call to map your chart of accounts, dimensions and AI provider, typical delivery is around one working week. ECOSIRE builds the AL extension, validates it in a sandbox environment, then installs it as a per-tenant extension on your production tenant with your sign-off.
How are ongoing support and updates handled?
ECOSIRE supports the extension on your environment after go-live. Because Microsoft ships two major Business Central release waves a year, we provide a documented upgrade path and recompile/test the extension against new versions under a support agreement. You also receive the full AL source in a Git repository, so you are never locked in — bug fixes, enhancements and version compatibility are covered by the support terms agreed at delivery.
Where does the AI inference run, and is our data sent to a public model?
You choose. Inference can run against Azure OpenAI deployed in your own Azure subscription (so prompts and data stay within your tenant and region) or against Microsoft Copilot infrastructure. ECOSIRE wires it to honour your data-residency requirements; the natural-language layer only ever issues safe parameterized queries against your own Business Central data.
Does this replace native Business Central Copilot or the standard Cash Flow Forecast?
No — it extends them. Native Business Central includes a basic cash flow forecast and some Copilot features, but not finance-specific anomaly/fraud detection, late-payment risk scoring or automated variance narratives over your dimensions. This extension adds those capabilities through AL page extensions, event subscribers and a job queue, working alongside the standard features rather than overriding them.
Will it survive Business Central upgrades and not break our environment?
Yes. It is delivered as a proper per-tenant AL extension using supported extension points — event subscribers, table and page extensions, permission sets — so it does not modify base objects. That is what makes it upgrade-safe. ECOSIRE validates each Microsoft release wave against the extension and ships a recompiled version as part of the support agreement.
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AI Copilot Insights & Anomaly Detection for Business Central
A custom-built AL extension that adds an AI Copilot to Business Central — natural-language queries over your ledger data, anomaly and fraud detection, cash-flow forecasting and automated variance narratives. Built, installed per-tenant and supported by ECOSIRE.
- Natural-language data queries over G/L, customer and vendor ledger entries — intent is mapped to safe parameterized queries, never free-form SQL
- Anomaly and fraud detection: duplicate payments, out-of-band journal entries, unusual posting patterns and weekend/after-hours entries
- Cash-flow forecasting that blends posted ledger history with open sales and purchase documents
- Sales and revenue forecasting by customer, item and dimension/cost-centre