Phase 1 · Awareness Enterprise architecture and ecosystem integration

Agentic ERP: autonomous workflows inside Dynamics 365 Finance and Supply Chain

How AI agents, connected through Copilot and the Model Context Protocol, change what a core business application does, and the controls a CIO should demand first.

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The short answer

An agent earns its place when the task is repetitive, the data is already in the ledger, and a person can still approve the outcome. Start with one workflow, give the agent the narrowest permissions that work, and log every action it takes.

Stages

From a manual task to a governed agent

  1. 1
    Pick one workflow Choose a task that repeats daily, such as matching vendor invoices, chasing late receipts or classifying bank lines.
  2. 2
    Expose only what it needs Give the agent read and write access to the specific tables and actions the task needs, through the platform's own security roles.
  3. 3
    Keep a person in the approval path The agent proposes. A named role approves anything that posts, pays or changes a master record.
  4. 4
    Log every step Record what the agent saw, what it proposed and who approved it, so an auditor can replay the decision.
  5. 5
    Measure, then widen Review accuracy and exceptions for a full month before the agent takes on a second workflow.
Decision points

Three questions that change the answer

Does the task post to the ledger or move money?

YesKeep human approval in the path and log the approval.

NoA supervised agent can act, with sampling and exception reports.

Is the source data clean and owned?

YesProceed with a pilot on that data.

NoFix the data first. An agent will repeat bad data faster than a clerk.

Can you explain the decision to an auditor?

YesGo live behind a feature flag.

NoDo not deploy. An unexplainable decision is a control failure.

Milestones

What done looks like, and when

  1. Weeks 1 to 2 Workflow chosen, success measure written, security roles drafted.
  2. Weeks 3 to 6 Agent built in a sandbox environment with sample and masked data.
  3. Weeks 7 to 10 Supervised pilot with a named approver and a daily exception review.
  4. Week 12 Go or no-go review against the success measure and the audit trail.
Principles we hold to
  • Treat an agent as a user: it has a role, a scope and an owner.
  • Narrow permissions beat clever prompts.
  • Approvals stay with people for anything that posts, pays or changes masters.
  • No audit trail, no go-live.

Frequently asked questions

What is agentic ERP?

ERP in which AI agents carry out multi-step tasks, such as matching, classifying or following up, on the ledger and the supply chain, under the permissions and approvals you set.

Is agentic ERP safe for finance?

It can be, when the agent works inside security roles, a person approves anything that posts or pays, and every action is logged.

Take this to your own programme. Tell us where you are. We will tell you plainly what this means for your estate and what we would do first. Book a consultation Next: Clean core and dual-write: extending Dynamics 365 without breaking the upgrade path →
How an engagement runs

It starts with a 45-minute consultation, then a discovery and fit-gap workshop on your own processes. You receive a written fit-gap and a phased plan before a programme is agreed. Four phases follow, each with something you can use and review.

01

Discover

Process workshops, data audit, and a fit-gap against the standard product.

02

Design

Solution blueprint, integration map, and the extensions we will actually need.

03

Deploy

Configuration, migration rehearsal, role-based training, UAT and phased cutover.

04

Support

Hypercare, managed services, client portal, scheduled optimisation reviews.

What drives the cost: users, legal entities and currencies, integrations, data migration and the gaps found against standard. See how pricing works, run the three-minute readiness score, or book a consultation.

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