Microsoft is introducing AI agents across Dynamics 365 applications, including Business Central, Finance, Supply Chain Management, Sales and Customer Service.
These agents can help businesses process sales orders, manage supplier communication, qualify leads, handle invoices and automate repetitive tasks. Businesses can also develop custom AI agents for processes not covered by standard Microsoft capabilities.
However, having Dynamics 365 does not automatically mean your business is ready to implement AI agents.
AI agents depend on reliable data, clearly defined processes, suitable permissions and measurable business objectives. If these foundations are missing, the agent may provide inaccurate results, require constant employee intervention or increase operational risk.
A Dynamics 365 AI readiness assessment helps you determine:
- Which processes are suitable for AI agents
- Whether your Dynamics 365 data is reliable
- Which integrations will be required
- What security controls must be introduced
- Whether to use a standard or custom agent
- What the implementation may cost
- Which project should be prioritised first
This guide explains how to assess your organisation’s readiness before investing in Dynamics 365 AI agents.
Considering AI agents but unsure where to begin? Book a Dynamics 365 AI readiness assessment with .
What Is a Dynamics 365 AI Readiness Assessment?
A Dynamics 365 AI readiness assessment is a structured review of your processes, systems, data, security and internal capabilities.
It identifies whether your organisation has the foundations needed to implement AI agents safely and successfully.
The assessment should not begin by asking, “Where can we add AI?”
It should begin with business questions such as:
- Which process takes too much employee time?
- Where do delays regularly occur?
- Which decisions follow clear rules?
- Where do employees repeatedly collect the same information?
- Which errors create the greatest cost?
- Which process improvement can be measured?
The result should be a practical AI implementation roadmap rather than a general list of possible technologies.
Why Is an AI Readiness Assessment Important?
Businesses can be tempted to activate an agent or start custom development before reviewing the process it will support.
This creates several risks.
An agent may not identify a customer because contact information is incomplete. It may recommend an incorrect product because item descriptions are inconsistent. It may also fail to complete a process because the required information is held in another application.
AI does not automatically correct poor data or an inefficient process. It can reproduce existing problems at a greater speed.
A readiness assessment identifies these gaps before implementation begins. It also prevents the business from investing in a complex custom agent when a standard Dynamics 365 feature may already meet the requirement.
Seven Areas to Review Before Implementing AI Agents
1. Business Use Case
The first step is selecting a specific process with a measurable problem.
Strong initial use cases usually have:
- A high volume of repetitive work
- Clear inputs and outputs
- Documented business rules
- Reliable supporting data
- Identifiable exceptions
- An outcome that can be measured
Examples may include:
- Processing customer order emails
- Checking supplier invoices
- Qualifying new sales leads
- Following up on purchase orders
- Classifying customer service cases
- Preparing field service summaries
- Monitoring overdue customer accounts
“Use AI in our finance department” is too broad.
“Reduce the time spent matching supplier invoices with purchase orders while retaining approval controls” provides a much clearer starting point.
2. Dynamics 365 Environment
Your current Dynamics 365 environment should be reviewed before introducing an agent.
The assessment should consider:
- Dynamics 365 applications and versions
- Cloud or on-premises deployment
- Legal entities and environments
- Custom tables and extensions
- Existing workflows
- Security roles
- Integrations
- Unresolved system issues
- Current upgrade plans
Some Microsoft AI agents are available only for specific or cloud deployments. An organisation using an older version of Dynamics NAV, AX or Business Central on-premises may need to complete an upgrade or cloud migration first.
Existing customisations must also be considered. An agent designed for a standard process may not work as expected when important information is held in custom fields or external applications.
3. Data Quality
need accurate, complete and accessible data.
The assessment should review the quality of relevant:
- Customer records
- Supplier records
- Product descriptions
- Item numbers
- Pricing information
- Contact details
- Inventory records
- Financial transactions
- Knowledge articles
- Business documents
Common problems include duplicate accounts, missing email addresses, outdated prices and inconsistent product descriptions.
For example, an employee may recognise several informal descriptions used by a long-term customer. An AI sales order agent may not match them with the correct items if the supporting records are unclear.
You do not need to clean every record before starting an AI project. You need to improve the data required for the selected use case.
4. Process Consistency
An agent needs to understand what should happen when particular conditions are met.
Review whether the current process is:
- Documented
- Followed consistently
- Supported by clear ownership
- Controlled through suitable approvals
- Able to distinguish standard cases from exceptions
If different employees follow completely different steps for the same transaction, the process may need to be standardised before automation.
The assessment should also identify where human judgement is essential. Not every decision should be delegated to an AI agent.
5. Integration Readiness
The information required by an agent may be spread across Dynamics 365, Microsoft 365 and external systems.
Potential sources include:
- Microsoft Dataverse
- SharePoint
- Outlook
- Ecommerce platforms
- Product information systems
- Banking applications
- Warehouse systems
- Legacy databases
- Custom business applications
The assessment should identify which information the agent needs and whether a secure integration method is available.
A custom connector or API may be required when information is held outside supported Microsoft applications. This can significantly affect implementation cost and timescale.
6. Security and Governance
An agent should have access only to the information and actions needed for its assigned process.
Before implementation, decide:
- Who can create and configure agents
- Which records the agent can access
- Which actions it can complete
- Which activities require employee approval
- How user and agent actions will be audited
- Which data sources are approved
- How external communication will be controlled
- Who will monitor the agent after deployment
Microsoft provides permissions, authentication and Power Platform data policies for controlling agent access, connectors, knowledge sources and publishing channels.
Sensitive activities such as payments, customer credit changes, bank-detail updates and contractual communication should normally require additional verification.
7. People and Operational Readiness
An agent changes how employees perform part of their work. Technical readiness alone is therefore insufficient.
The assessment should identify:
- Process owner
- Agent owner
- Employees who will review exceptions
- Required training
- Concerns about the new process
- Support arrangements
- Escalation responsibilities
- Performance measures
Employees should understand what the agent can do, where it may make mistakes and when they need to intervene.
The objective should be to remove repetitive administration while allowing employees to concentrate on decisions requiring experience and judgement.
Standard Dynamics 365 Agent or Custom AI Agent?
Microsoft provides standard agents for selected business processes. Examples include agents supporting sales orders, payables, sales qualification, supplier communication and account reconciliation.
A standard agent may be suitable when your process closely matches Microsoft’s supported scenario.
A custom AI agent may be required when you need:
- Organisation-specific decision rules
- Custom Dynamics 365 tables
- External system integration
- Additional approval stages
- Industry-specific processes
- A different communication channel
- Actions not included in the standard agent
The readiness assessment should compare both options.
Building a custom agent without first checking standard functionality can increase cost unnecessarily. Equally, forcing a standard agent into a substantially different process may produce poor results.
How to Measure Your Level of AI Readiness
After the assessment, the organisation can be placed into one of three broad categories.
Ready for a Pilot
Your business may be ready when:
- A suitable use case has been identified
- Business rules are clear
- Relevant data is reliable
- Required systems can be connected
- Security and approvals are defined
- A process owner is available
- Results can be measured
The next step is a limited proof of concept or pilot.
Partially Ready
Your organisation may need preparation when:
- The use case is promising but too broad
- Data requires targeted cleaning
- Process steps are inconsistent
- An integration is missing
- Permissions require review
- Ownership has not been assigned
The assessment should provide a remediation plan before implementation.
Not Ready Yet
Implementation should normally be delayed when:
- There is no clear business problem
- Required data is unavailable
- The process changes frequently
- No one owns the proposed agent
- Security concerns cannot be resolved
- Expected value cannot be measured
- The project is driven only by pressure to “do something with AI”
Being assessed as not ready does not mean AI cannot be used. It means the business should strengthen its foundations before investing further.
What Should an AI Readiness Assessment Deliver?
A useful Dynamics 365 AI readiness assessment should provide clear actions rather than a generic presentation.
Expected outputs may include:
- Prioritised AI agent use cases
- Current Dynamics 365 environment findings
- Data-quality gaps
- Process and integration requirements
- Standard-versus-custom agent recommendation
- Security and governance requirements
- Pilot scope
- Indicative implementation timeline
- Cost factors
- Risk and dependency register
- Recommended success measures
- Phased implementation roadmap
This gives decision-makers enough information to determine whether the project should proceed.
How Long Does an AI Readiness Assessment Take?
A focused assessment for one process may take approximately one to two weeks.
A broader assessment covering several Dynamics 365 applications or departments may take three to six weeks.
The timeline depends on:
- Number of processes being reviewed
- Dynamics 365 applications involved
- Number of integrations
- Availability of internal stakeholders
- Existing documentation
- Complexity of data and security requirements
Starting with one department or process normally produces a clearer and more actionable result.
What Happens After the Assessment?
If the business is ready, the next step should be a controlled pilot.
A typical pilot includes:
- Confirming the use case and success measures
- Preparing the required data
- Configuring a standard agent or building a limited custom agent
- Testing normal and exceptional scenarios
- Training selected users
- Monitoring results
- Deciding whether to expand, revise or stop
The agent should initially work with a limited set of transactions, customers or users.
For example, a Business Central Sales Order Agent could begin with selected customers and standard products rather than processing every order received by the business.
Dynamics 365 AI Readiness Assessment with Dynamics Square UK
Dynamics Square UK can help your organisation move from general AI interest to a practical Dynamics 365 implementation plan.
Our assessment can help you:
- Identify high-value AI agent use cases
- Review your Dynamics 365 environment
- Assess data and integration readiness
- Compare Microsoft agents with custom development
- Define permissions and approval controls
- Estimate implementation scope and timeline
- Plan a controlled proof of concept
- Create a phased AI adoption roadmap
Our consultants work across Dynamics 365 Business Central, Finance, Supply Chain Management, Sales, Customer Service, Field Service, Power BI and Power Platform.
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Frequently Asked Questions
What is an AI readiness assessment?
An AI readiness assessment reviews whether an organisation has suitable use cases, processes, data, technology, security and internal capabilities to implement AI successfully.
Why does Dynamics 365 AI readiness matter?
Dynamics 365 agents depend on reliable business data, permissions, integrations and clearly defined processes. An assessment identifies gaps that could affect accuracy, security or project value.
How do I know if my business is ready for AI agents?
Your business may be ready when it has a measurable use case, reliable data, documented rules, suitable security controls and employees responsible for reviewing agent performance.
Does an AI readiness assessment include data quality?
Yes. It should review the data needed by the selected agent, including completeness, consistency, ownership, accessibility and suitability for the intended process.
Should we use a standard or custom Dynamics 365 AI agent?
Use a standard Microsoft agent when it adequately supports your process. Consider a custom agent when you require different business rules, data sources, integrations or actions.
How long does a Dynamics 365 AI readiness assessment take?
A focused assessment may take one to two weeks. A broader assessment involving multiple applications, departments or integrations may take three to six weeks.