AI agent services for ERP and CRM
Rand Group provides AI agent services that help organizations automate work across ERP, CRM, finance, operations, sales, and service. Our experts help you implement and optimize native AI agents in Microsoft, NetSuite, and Sage solutions or build custom AI agents around your unique business processes.
Put AI agents to work across your business
AI agents are goal-oriented AI systems that can analyze information, interpret context, make decisions within defined boundaries, and take action. Unlike traditional automation that follows fixed rules, AI agents can coordinate multi-step work and respond to changing conditions. They also go beyond generative AI that answers questions or creates content by helping move real business processes forward across finance, supply chain, sales, customer service, and operations.
Rand Group helps you turn these capabilities into practical business results. We identify high-value use cases, enable native agents available in your ERP and CRM systems, connect agents with existing workflows, and extend capabilities when standard tools are not enough. Our team brings expertise across Microsoft, NetSuite, Sage, integrations, data, security, governance, and custom software development to help you deploy AI agents with the right controls in place.
Coordinate multi-step work
AI agents can move beyond automating a single task to coordinate work across multiple steps, applications, and data sources. This helps reduce the manual handoffs that slow down finance, sales, service, and operational processes.
Respond to changing conditions
Traditional workflows follow predefined paths, while AI agents can evaluate context and determine the appropriate next step. This allows agents to identify exceptions, adapt to new information, and bring users into the process when human judgment is needed.
Scale execution with human control
AI agents can handle repetitive, high-volume work while your employees focus on decisions that require their expertise. Defined permissions, approval points, and escalation rules help your organization increase automation without giving up oversight.
Turn AI agents into measurable business value
AI agents create the most value when they solve a defined business problem and work within the systems your teams already use. Rand Group can help you identify the right opportunities, deploy the technology, and connect AI agents to the processes and data needed to deliver results.
AI agent consulting and implementation services
Successful AI agent adoption takes more than turning on a new feature. Rand Group provides AI agent consulting and implementation services across the full lifecycle, from identifying where agents can create value to deploying, governing, and improving them over time.
- AI agent strategy and use case identification: Evaluate business processes and prioritize opportunities where AI agents can reduce manual effort, improve execution, or support better decisions.
- AI readiness and process assessment: Review workflows, data, integrations, security requirements, and technical dependencies before deployment.
- Native AI agent enablement: Configure and deploy agents already available in Microsoft, NetSuite, Sage, and connected business applications.
- Workflow and system integration: Connect AI agents with ERP, CRM, third-party applications, APIs, data sources, and business processes.
- Security, governance, and testing: Define permissions, human review points, escalation paths, testing requirements, and controls around agent actions.
- Optimization and adoption: Monitor agent performance, refine workflows, train users, and identify new opportunities as your needs and AI capabilities evolve.
Custom AI agents built around your business
Off-the-shelf AI agents can address common processes, but they cannot cover every workflow, system, or industry requirement. Rand Group develops custom AI agents that work with your applications, data, APIs, business rules, and approval processes to support the way your organization actually operates.
- ERP and CRM workflow agents: Automate processes that depend on transactions, customer records, financial data, or operational activity.
- Cross-system agents: Coordinate work between ERP, CRM, productivity tools, industry applications, and other business systems.
- Finance and accounting agents: Support transaction review, reconciliations, reporting, collections, approvals, and other financial processes.
- Sales and service agents: Assist with lead management, customer communications, case handling, research, and follow-up activities.
- Operations and supply chain agents: Monitor exceptions, coordinate purchasing and inventory tasks, and support operational decision-making.
- Multi-agent workflows: Design groups of specialized agents that work together across different tasks while following defined business rules and human approval points.
Microsoft AI agents across Dynamics 365
Microsoft is expanding AI agents across its Dynamics 365 ERP and CRM applications. Rand Group helps organizations identify the right agents, prepare their data and controls, configure capabilities, and integrate them into existing Microsoft workflows.
- Dynamics 365 Business Central: Sales Order Agent processes customer order requests, Payables Agent handles vendor invoices, and Expense Agent supports expense processing and reporting.
- Dynamics 365 Finance and Operations: Account Reconciliation Agent identifies reconciliation exceptions and recommends actions, while Procurement Agent supports supplier communications and evaluates purchase order changes.
- Dynamics 365 Project Operations: Time and Expense Agent helps create time entries and process expenses, while approval agents can review transactions against defined policies before final approval.
- Dynamics 365 Sales and Dynamics 365 Customer Insights: Agents can research and qualify leads, nurture prospects, analyze opportunities, and help sellers prioritize where to focus.
- Dynamics 365 Customer Service and Dynamics 365 Contact Center: Agents support case management, customer intent, quality evaluation, knowledge management, and automated customer service interactions.
- Dynamics 365 Field Service: Scheduling Operations Agent helps dispatchers optimize technician schedules as priorities, availability, and service requirements change.
NetSuite AI agents and intelligent automation
Oracle NetSuite is expanding AI and agentic capabilities across NetSuite and NetSuite Enterprise Performance Management. Rand Group helps clients identify the right capabilities, prepare their data and controls, configure AI features, and integrate them into existing financial and operational workflows.
- Ask Oracle and NetSuite Next: Ask Oracle lets users search, analyze, and act on NetSuite data using natural language, including breaking complex requests into multiple tasks.
- NetSuite Account Reconciliation: AI-powered matching and assignment assistance helps predict transaction matches, recommend assignments, and reduce manual reconciliation work.
- NetSuite Profitability and Cost Management: The Profitability and Cost Management Agent uses conversational commands to support modeling, allocations, and related workflow tasks.
- NetSuite planning, reporting, and analysis: AI capabilities support forecasting, financial analysis, natural-language questions, and automated narratives and summaries.
Sage AI agents for finance and accounting
Sage is adding purpose-built AI agents to Sage Intacct to automate finance and accounting work. Rand Group helps organizations identify the right agents, prepare their data and controls, configure the capabilities, and integrate them into financial workflows.
- Finance Intelligence Agent: Analyze Sage Intacct financial data using natural-language questions and receive explainable answers, insights, and recommendations.
- Close Agent: Track month-end close tasks, identify blockers, and surface issues that may delay the close.
- AP Automation Agent: Automate invoice entry, matching, coding, duplicate detection, and other accounts payable tasks before review and approval.
- Financial Assurance Agent: Analyze journal entries and flag unusual activity based on historical patterns and materiality thresholds.
- Time Agent: Generate timesheets from work activity to reduce manual entry and improve project billing and cost accuracy.
Not sure where to start with AI agents?
The right AI agent strategy starts with understanding your processes, systems, data, and business priorities. Rand Group's AI assessment can help you identify high-value opportunities, evaluate your readiness, and define a practical path for using native or custom AI agents across your organization.
Why partner with Rand Group for AI agent services
Business technology expertise
Rand Group has delivered business technology solutions since 2003 and completed more than 3,000 successful engagements. Our experience across ERP, CRM, software engineering, integrations, data, and AI helps us evaluate agent opportunities within the broader technology environment they depend on.
Long-term client partnership
With a 90% client retention rate, Rand Group builds relationships that extend beyond deployment. We provide ongoing support, optimization, and strategic guidance to help your AI agents continue delivering value as your processes, systems, and available AI capabilities evolve.
Cross-platform AI expertise
Rand Group works across Microsoft, NetSuite, and Sage, giving our team experience with AI capabilities across leading ERP and CRM platforms. We help you use native agents, extend existing capabilities, and connect custom AI solutions with your broader technology stack.
Business process expertise
Our consultants understand finance, accounting, sales, supply chain, service, operations, and industry-specific workflows. This business knowledge helps us define what an agent should do, what data it should use, and where human review, approval, or intervention should remain.
Frequently asked questions (FAQs)
What is an AI agent?
An AI agent is a software system that uses artificial intelligence to pursue a defined goal and complete work on behalf of a user or business process. It can analyze information, interpret context, determine next steps, and take actions within defined rules and permissions.
How do AI agents work?
AI agents use data, instructions, AI models, business rules, and connected tools to understand a task and determine what to do next. Depending on the use case, an agent may provide a recommendation, complete an action, coordinate several workflow steps, or ask a person to review an exception.
What is the difference between AI agents and generative AI?
Generative AI primarily creates or summarizes content, while AI agents can use AI to complete or advance a task. An agent may use generative AI as part of its reasoning, but it can also interact with systems, evaluate business context, and take actions toward a defined outcome.
How can AI agents be used in ERP and CRM systems?
AI agents for ERP and CRM can automate transaction processing, reconciliations, purchasing, sales activity, customer service, scheduling, reporting, approvals, and other workflows. Because they work with business data and processes, they can help reduce repetitive work while keeping users involved where judgment or approval is required.
What AI agents are available in Microsoft Dynamics 365?
Microsoft Dynamics 365 includes AI agents across ERP and CRM applications such as Dynamics 365 Business Central, Dynamics 365 Finance, Dynamics 365 Supply Chain Management, Dynamics 365 Project Operations, Dynamics 365 Sales, Dynamics 365 Customer Service, and Dynamics 365 Field Service. Available agents support processes such as order entry, payables, reconciliation, procurement, sales qualification, case management, and scheduling.
What AI agents and intelligent automation are available in NetSuite?
NetSuite provides agentic and AI-powered capabilities through NetSuite Next, Ask Oracle, and NetSuite Enterprise Performance Management. Current capabilities support natural-language analysis, account reconciliation, profitability and cost management, forecasting, reporting, and other financial processes, with availability depending on the client’s NetSuite environment and licensed products.
What AI agents are available in Sage Intacct?
Sage Intacct offers AI agents for financial analysis, month-end close, accounts payable, financial assurance, and time capture. These include the Finance Intelligence Agent, Close Agent, AP Automation Agent, Financial Assurance Agent, and Time Agent.
Can Rand Group build custom AI agents?
Yes. Rand Group can design and build custom AI agents when native ERP or CRM agents do not address your business requirements. Custom agents can connect with your applications, APIs, data, workflows, business rules, and approval processes, including multi-agent workflows that coordinate work across several systems.
Are AI agents secure?
AI agents can be deployed securely when access, permissions, data, and governance are designed correctly. Rand Group helps define what an agent can access, what actions it can take, when human approval is required, and how its activity should be tested, monitored, and governed.
How do I get started with AI agents?
Start by identifying a specific business process where AI could reduce manual work, improve response time, or support better decisions. Rand Group can assess your processes, systems, data, and existing AI capabilities to identify the best opportunities and build a practical roadmap for implementation.
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