Quick facts
- Price
- $599.00 USD
- dynamics_365_business_central versions
- —
- Setup time
- 45 min
- License
- One-time perpetual
- Languages
- 11 languages
One-time Purchase
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.
$599.00USD
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Key Features
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
About this Product
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.
Why Choose AI Copilot Insights & Anomaly Detection for Business Central
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
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.
What you get
- 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
Who this is for
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.
Installation overview
Download from ECOSIRE
Buy the license on ecosire.com and download the AI Copilot Insights & Anomaly Detection for Business Central 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 Copilot Insights & Anomaly Detection for Business Central, 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 Copilot Insights & Anomaly Detection for Business Central Compares
| Criterion | ECOSIRE | Custom Build | Competitor | Odoo Native |
|---|---|---|---|---|
| Finance-specific anomaly and fraud detection (duplicate payments, out-of-band journals) | ||||
| Natural-language queries restricted to safe parameterized data access (no free-form SQL) | ||||
| Installed as an upgrade-safe per-tenant AL extension and supported by the vendor | ||||
| Tailored to your chart of accounts, dimensions and posting groups | ||||
| Late-payment risk scoring and automated variance narratives | ||||
| You own the full AL source code with no lock-in | ||||
| Choice of inference provider (Azure OpenAI in your subscription vs Microsoft Copilot) with data-residency control | ||||
| Dataverse / Power Platform integration for Power BI and Power Automate |
Frequently Asked Questions about 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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Lifetime Updates
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Related Modules
Request a quote
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