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§ Agent · Microsoft Dynamics 365 Finance

The Microsoft Dynamics 365 Finance data agent that acts the way you would.

It keeps an eye on your Dynamics 365 Finance data alongside your bank and external revenue sources, on a schedule you set or whenever fresh data lands. When something needs attention, it tells you, or handles it the way you'd want.

D
DefiniteAPP9:14 AM · #finance-alerts
⚠️ Intercompany payables out of balance by $87,400 across 3 legal entities

Vendor transactions posted in entity US-002 and US-005 this week don't net to zero against the eliminating entity. 14 vouchers totaling $87,400 are unmatched, up from your typical ~$6,000/wk residual.

Review & approve Dismiss
Vendor Transactions + Main Accounts + Companies · reconciled to bank feed · audit log

How an agent works

An agent watches one thing and acts on it. Not a workflow, just a standing watch that usually does nothing and acts the moment it should.

◄ repeats on the schedule you set ►

You stay in control

An agent does what you'd do, and only what you've authorized.

The same trusted numbers

It acts on the same governed metrics as your dashboards, and every action is logged and traceable.

You approve anything that writes

It alerts and recommends on its own; anything that changes data is yours to approve.

Try it on a test channel first

Point a new agent at a throwaway channel and watch its judgment before it touches anything real.

No false alarms

It remembers what it already flagged and waits before acting again, so it won't alert you about the same thing twice.

What you can put an agent on

ReconcileACROSS YOUR SOURCES

Tie your GL to the bank and your revenue sources

It reconciles your Dynamics 365 Finance general ledger and vendor transactions against your bank feed and external revenue data, and flags the gaps before close. The numbers on your board deck match the cash that actually landed, across every legal entity.

Main AccountsVendor TransactionsCompanies
Payables

Catch payables aging before it becomes a cash problem

When vendor invoice aging breaks its trend, it tells you which vendors are affected, how much cash is at risk, and whether the invoices tie back to the right GL accounts. You see the exposure before it surprises you at close.

Vendor Invoice HeadersVendor Invoice LinesVendors
Consolidation

Flag intercompany imbalances across legal entities

When postings across your companies don't net correctly, it surfaces the unmatched vouchers, the entities involved, and the dollar impact, so your consolidation is clean before anyone has to ask.

CompaniesMain AccountsChart of Accounts
Custom

Run any Python it needs to get the job done

Beyond alerts and write-backs, an agent can run arbitrary Python, so it can do whatever the task actually requires: call an API, kick off a job, reshape the data, or wire into your own tooling. The action space is yours to define.

Why not just build it yourself?

You could rig one of these with a cron job and a Slack webhook in an afternoon. The watching is the easy part. Here's what you'd own forever, and don't, here:

  • The cross-source join: not one tool's data, but it reconciled against the rest of your stack
  • A trusted, consistent metric: the same number your dashboards use
  • The investigation into why, when something fires
  • A full audit trail of everything it did
  • The upkeep, when the schema drifts or the script breaks at 2am

The data it works from

Every Microsoft Dynamics 365 Finance object, modeled and query-ready the moment you connect.

Customers
customerrevenue_financesales
Vendors
revenue_financeoperations
Vendor Invoice Headers
revenue_financeoperations
Vendor Invoice Lines
revenue_financeoperations
Vendor Transactions
revenue_financeoperations
Main Accounts
revenue_finance
Chart of Accounts
revenue_finance
Tax Transactions
revenue_financeoperations
Products
productoperations
Product Categories
productoperations
Departments
operations
Companies
operationsrevenue_finance

It runs on your real Dynamics 365 Finance environment (partial postings, intercompany residuals, multi-entity quirks and all), not a tidy demo.

Where it acts

Slack

A message in the channel you choose, with the context and a button to act on it.

Email

A summary in the inbox of the people who need to see it.

Webhook

A payload to your own systems, to wire the agent into whatever you already run.

Warehouse write-back

A flag written back to your warehouse for everything downstream to pick up.

Hand off to Fi

Kick the question to Fi to investigate the why and propose the fix.

MCP

Expose it to your own agents and tools over MCP, and drive it from your stack.

Run it in your own VPC or fully self-hosted. Everything it does is pure SQL and Python you can inspect.

Build your agents with Fi

Fi is your AI analyst. It helps you build and customize everything in Definite, including the agents that watch and act.

Fi

Your AI analyst. Ask questions in plain English, and let it help you build and customize everything in Definite, including your agents.

Meet Fi →

Agents

The watchers and actors. Once you've built one, it runs on its own, keeping an eye on what matters and acting the way you would.

Autonomous agents →

Get started

  1. 1Connect Microsoft Dynamics 365 Finance, and the sources it needs to reconcile against. Synced and modeled in an afternoon.
  2. 2See the numbers tie out to what you already trust.
  3. 3Put an agent on one thing you can't afford to miss. Fi helps you build it.
§ FAQ

Common questions

You set the schedule, and it also re-checks whenever fresh Microsoft Dynamics 365 Finance data lands. Each agent watches the one thing you point it at, nothing else.
It alerts and recommends on its own. Anything that writes, whether to a tool, your warehouse, or a customer, is yours to approve. You can also point a new agent at a test channel first and watch its judgment before it touches anything real.
When something fires, it can hand off to Fi to investigate, drilling into the data it has across your connected sources to find what's behind the move, and showing its work.
Copilot answers questions about Dynamics data when you ask. This watches continuously, reasons across your GL plus your bank and external revenue sources, and hands off to Fi to investigate why, so you find out before close, not after.

Your answer engine
is one afternoon away.

Book a 30-minute call and watch us build your first dashboard live, with your own data.