Qu'est-ce que 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. Built to order by ECOSIRE for Dynamics 365 BC (build-to-order) — indicative price from $599.00 USD; request a quote for a scoped proposal.
Les détails du produit sont affichés en anglais. Traductions à venir.
Aperçu illustratifA 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.
Fonctionnalités clés
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
Automated variance narratives that explain budget-vs-actual movements in plain language
Late-payment risk scoring on customers using aged receivable and payment-behaviour history
AL page extensions adding an Insights FactBox and Copilot action to the Finance Role Center and key cards
Event subscribers on G/L Entry, Cust. Ledger Entry and posted documents to capture signals as they post
Scheduled anomaly scans and forecast refreshes via a dedicated Business Central job queue entry
Inference via Azure OpenAI in your own subscription or Microsoft Copilot infrastructure — your choice
Dataverse / Power Platform integration so Power BI and Power Automate can consume the insight signals
Dedicated permission sets and field-level access so only authorized finance roles see insights
Fait sur commande, clé en main
Aucune configuration à faire vous-même — une app fonctionnelle conçue, installée et prise en charge par ECOSIRE.
- 1
Vous commandez
Commencez par un prix de développement unique. Nous cadrons le projet avec vous au lancement.
- 2
Nous développons et installons
ECOSIRE la développe, la configure et l'installe sur votre Dynamics 365 Business Central.
- 3
Mise en ligne + assistance
Vous êtes en ligne en 2–4 semaines environ, avec une période d’assistance après le lancement.
À propos de ce produit
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.
Ce que vous obtenez
- 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
Pour qui c'est
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.
Comment AI Copilot Insights & Anomaly Detection for Business Central se compare
| Critère | ÉCOSIRE | Construction personnalisée | Concurrent | Natif Dynamics 365 Business Central |
|---|---|---|---|---|
| Finance-specific anomaly and fraud detection (duplicate payments, out-of-band journals) | Inclus | Prise en charge partielle | Prise en charge partielle | Non inclus |
| Natural-language queries restricted to safe parameterized data access (no free-form SQL) | Inclus | Prise en charge partielle | Prise en charge partielle | Prise en charge partielle |
| Installed as an upgrade-safe per-tenant AL extension and supported by the vendor | Inclus | Prise en charge partielle | Inclus | Inclus |
| Tailored to your chart of accounts, dimensions and posting groups | Inclus | Inclus | Non inclus | Prise en charge partielle |
| Late-payment risk scoring and automated variance narratives | Inclus | Prise en charge partielle | Prise en charge partielle | Non inclus |
| You own the full AL source code with no lock-in | Inclus | Inclus | Non inclus | Non inclus |
| Choice of inference provider (Azure OpenAI in your subscription vs Microsoft Copilot) with data-residency control | Inclus | Prise en charge partielle | Non inclus | Prise en charge partielle |
| Dataverse / Power Platform integration for Power BI and Power Automate | Inclus | Prise en charge partielle | Prise en charge partielle | Prise en charge partielle |
Foire aux questions sur AI Copilot Insights & Anomaly Detection for Business Central
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 3 to 5 weeks. 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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Demander un devis
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