Dust for NetSuite 2025: Scale AI Across Your Enterprise

While the NetSuite AI Connector enables powerful individual interactions with your ERP data, scaling AI across your entire organization requires an enterprise orchestration platform. Dust transforms individual AI capabilities into enterprise-wide intelligence, connecting NetSuite with 50+ business tools for comprehensive, cross-functional insights.

As demonstrated at Grow with NetSuite Paris 2025, Novutech combines NetSuite's AI Connector with Dust to deliver enterprise AI solutions that break down data silos and transform how organizations work.

What is Dust?

Dust is an enterprise AI platform designed for building custom AI agents that connect to multiple business tools simultaneously. Think of it as the orchestration layer that transforms individual AI capabilities—like the NetSuite AI Connector—into enterprise-wide intelligence.

Key Dust Capabilities

No-code agent creation enables business users to build sophisticated agents without programming knowledge using a visual builder interface. Simply define what you want the agent to do, select data sources, and configure permissions.

50+ tool connections allow linking to NetSuite, Salesforce, Google Workspace, Slack, Notion, GitHub, HubSpot, Zendesk, and dozens of other business systems. Each connection respects existing security and permissions, ensuring seamless NetSuite integration with your broader tech stack.

Enterprise security provides role-based access control, comprehensive audit logging, data residency options for regulatory compliance, and industry-standard certifications (SOC 2, GDPR, etc.).

Collaborative development enables teams to share agents across the organization, improve existing agents based on usage patterns, build on proven templates, and scale successes rapidly.

From Single Use Case to Enterprise AI

Successful AI scaling requires a structured approach that builds momentum while managing risk. Here's the proven path from initial exploration to enterprise-wide transformation.

Phase 1: Exploration (Weeks 1-4)

Objective: Prove value with minimal risk and investment.

Start with 1-2 power users who understand both business processes and technology. Connect only NetSuite via AI Connector initially to minimize complexity while maximizing focus. Experiment with simple queries to build confidence and understanding. Document useful prompts, workflows, and lessons learned. Identify 2-3 high-value use cases worthy of deeper development.

Success metrics: Users report time savings of 20%+ on specific tasks. At least 2 compelling use cases identified for Phase 2. User satisfaction score 8+ out of 10.

Phase 2: Integration (Months 2-3)

Objective: Expand scope and demonstrate ROI.

Expand to 5-10 users across different functions (Finance, Sales, Operations). Connect additional data sources beyond NetSuite—Salesforce, Google Drive, internal databases—creating a comprehensive ERP AI automation ecosystem. Build 2-3 custom agents addressing specific business needs identified in Phase 1. Gather systematic feedback through surveys and interviews. Measure time savings, quality improvements, and user satisfaction quantitatively.

Success metrics: Documented ROI showing positive return. 3+ functional agents in regular use. User base growing organically through word-of-mouth. Executive stakeholders requesting demos.

Phase 3: Scale (Months 4-6+)

Objective: Enterprise-wide deployment with governance.

Roll out to broader user groups organized by function or department. Empower departments to create their own agents for specific needs. Connect multiple data sources to create sophisticated cross-functional agents leveraging AI orchestration across your entire business ecosystem. Build a center of excellence to share best practices and templates. Establish governance policies covering data access, usage guidelines, and compliance. Celebrate wins publicly and share success stories across the organization.

Success metrics: 50+ active users across multiple departments. 10+ agents in production. Measurable impact on company KPIs. AI adoption included in performance goals.

Building Cross-Functional Agents

The true power of Dust emerges when agents combine data from multiple systems, breaking down traditional information silos through intelligent AI orchestration.

Sales Enablement Agent

Connected systems: NetSuite (financial data), Salesforce (CRM data), HubSpot (marketing engagement), Zendesk (support tickets), Slack (internal communications).

Example interaction: A sales rep preparing for a customer call asks: "Prepare me for my call with Acme Corp."

Agent response includes:

• Company overview and key decision-maker contacts from Salesforce
• Complete payment history and current AR balance from NetSuite
• Recent marketing email engagement and content downloads from HubSpot
• Open support tickets and satisfaction scores from Zendesk
• Recent internal discussions mentioning the customer from Slack
• Comprehensive briefing with suggested talking points and risk flags

Business impact: Reps enter calls fully prepared through ERP AI automation, leading to more productive conversations, faster deal cycles, and higher win rates.

Finance Intelligence Agent

Connected systems: NetSuite (transactions and accounting), BambooHR (headcount and org data), internal databases (operational metrics), external APIs (market data).

Example interaction: The CFO asks: "Why did our unit economics decline last quarter?"

Agent analysis:

• Revenue trends by product line and customer segment from NetSuite
• Cost structure changes including headcount growth from BambooHR
• Customer acquisition cost trends from marketing systems
• Customer lifetime value calculations combining multiple sources
• Operational efficiency metrics from warehouse and support systems
• Competitive market dynamics from external data sources
• Specific recommendations with projected financial impact

Business impact: Executives receive comprehensive analysis in minutes instead of days through NetSuite integration with enterprise data sources, enabling faster strategic decisions.

Discover how the NetSuite AI Connector enables conversational ERP access

Operations Optimization Agent

Connected systems: NetSuite (inventory and purchasing), warehouse management system, supplier portals, logistics platforms, demand forecasting tools.

Example interaction: Operations asks: "Optimize my inventory levels for Q4 holiday season."

Agent recommendations:

• Demand forecast based on historical patterns and known events
• Optimal inventory levels considering lead times, storage costs, and stockout risks
• Supplier risk assessment flagging potential delays
• Recommended reorder quantities and timing
• Opportunities to consolidate shipments for cost savings
• Alternative supplier options for at-risk items

Business impact: Optimized inventory through ERP AI automation reduces both stockouts (lost sales) and overstock (capital tied up), directly improving cash flow and profitability.

Customer Success Agent

Connected systems: NetSuite (billing and usage), Salesforce (account data), Zendesk (support history), product analytics, NPS survey tools.

Example interaction: Customer Success Manager asks: "Which accounts need attention this week?"

Agent identifies:

• Accounts with declining product usage from analytics
• Increasing support ticket volume or declining satisfaction from Zendesk
• Payment delays or invoice disputes from NetSuite
• Upcoming renewals with risk factors from Salesforce
• Low NPS scores requiring follow-up
• Prioritized action plan for each at-risk account

Business impact: Proactive outreach prevents churn, improves retention, and identifies expansion opportunities earlier through intelligent AI orchestration of customer data.

Dust Demo: Building an Agent in Minutes

One of Dust's most powerful features is how quickly non-technical users can create sophisticated agents for NetSuite integration and beyond.

The No-Code Agent Builder

Step 1: Define Your Agent (2 minutes)
Open the Dust agent builder and provide basic information: agent name (e.g., "Revenue Analysis Assistant"), agent purpose in natural language ("Help finance team analyze revenue trends and answer ad-hoc questions"), intended users or teams.

Step 2: Connect Data Sources (2 minutes)
Select which systems the agent can access: NetSuite for financial transactions, Google Sheets for budget data, Salesforce for customer information, Slack for team communications.

Step 3: Configure Permissions (1 minute)
Define who can use this agent, what actions it can take (read-only vs modifications), what data it can access (filtered by role or department).

Step 4: Add Instructions (2 minutes)
Provide guidance for the agent: "Always include year-over-year comparisons in financial analysis," "Format currency in euros with 2 decimal places," "Highlight variances greater than 10% as noteworthy," "When discussing customers, include payment terms and history."

Step 5: Test and Deploy (3 minutes)
Test the agent with sample queries like "What's our revenue by product line this quarter?", refine instructions based on results, deploy to your team with a single click.

Total time: 10 minutes from start to deployed agent.

Advanced: Dust Frames for Visualization

Beyond text responses, Dust Frames enable AI to generate interactive visualizations from data—similar to Power BI or Tableau but created through natural language.

How Frames work: Instead of the LLM probabilistically rewriting data (which can introduce inaccuracies), Frames use actual data files as inputs.

Example workflow:

1. Upload a CSV export from NetSuite with monthly revenue by customer segment
2. Ask: "Show me revenue trends by segment with year-over-year comparison"
3. Dust generates interactive chart with proper labeling, appropriate chart type, YoY variance visualization, ability to filter by segment
4. Modify by asking: "Add a forecast line based on historical trends"
5. Share the dashboard with your team or embed in presentations

Key advantage: Unlike traditional BI tools requiring hours of setup, this entire process takes minutes while maintaining data accuracy.

Building Your Enterprise AI Strategy

Technology alone doesn't ensure adoption. Creating an AI-first culture requires intentional effort across people, processes, and governance.

Framework for Identifying High-ROI Use Cases

Step 1: Map Pain Points

Gather input from multiple functions and organizational levels:

• Which processes are most manual and time-consuming?
• Where do errors occur most frequently?
• What questions take the longest to answer?
• What decisions are delayed by lack of information?
• Which reports or analyses are repeatedly requested?

Step 2: Assess AI Readiness

For each identified pain point, evaluate feasibility:

• Is necessary data available in accessible systems?
• Is data quality sufficient (accurate, complete, consistent)?
• Do we have necessary permissions and security clearances?
• What's the technical complexity of implementation?
• Are there business rules we can articulate clearly?

Step 3: Calculate ROI

Quantify potential value:

• Time saved per week/month (hours × loaded labor cost)
• Error reduction value (errors × cost per error × reduction %)
• Faster decision-making value (days saved × opportunity cost)
• Quality improvement value (customer satisfaction, retention)

Compare against implementation costs:

• Technology licenses (Dust platform, NetSuite AI Connector)
• Implementation services and customization
• Training and change management
• Ongoing support and maintenance

Step 4: Prioritize and Plan

Create a prioritization matrix balancing impact vs. effort:

• Quick wins: High impact, low effort—start here
• Strategic initiatives: High impact, high effort—plan carefully
• Improvements: Low impact, low effort—do if resources allow
• Time sinks: Low impact, high effort—avoid

Governance & Security

Enterprise AI requires thoughtful governance to manage risks while enabling innovation.

Data Access Policies:
Define what AI can access by default. Establish processes for requesting access to sensitive data. Implement technical controls enforcing policies automatically. Document rationale for all access decisions. Regularly review and update policies as needs evolve.

AI Usage Guidelines:
Create clear guidelines on acceptable AI use including permitted and prohibited use cases, accuracy verification requirements for critical decisions, human review thresholds, and accountability for AI-driven outcomes. Train users on responsible AI usage patterns.

Audit and Monitoring:
Implement comprehensive logging of all AI interactions. Create dashboards showing usage patterns, popular queries, and system performance. Set up alerts for policy violations or unusual patterns. Conduct regular audits of AI usage against guidelines. Address issues promptly and transparently.

Compliance Requirements:
Understand regulatory requirements in your industry (GDPR, HIPAA, SOX, etc.). Implement controls addressing those requirements. Document compliance measures comprehensively. Include AI in regular compliance audits. Update procedures as regulations evolve.

Learn more about NetSuite AI implementation and governance

Pricing & ROI for Dust

Cost Components

Dust Platform Subscription:

Pricing tiers based on number of users and features:

• Starter: $30-40 per user per month (basic features, limited data sources)
• Professional: $50-60 per user per month (full features, unlimited sources)
• Enterprise: $70-90 per user per month (advanced security, dedicated support)

Volume discounts available for larger deployments (100+ users).

Implementation Services:
Initial setup and configuration depending on complexity. Custom agent development per sophisticated agent. Training and change management for comprehensive program.

Related Costs:
NetSuite AI Connector license and LLM provider costs. Integration costs for connecting additional systems. Internal resources for ongoing agent management.

ROI Example: Multi-Department Deployment (20 users)

Current State:

Finance team: 8 hours/week per person on reporting and analysis (5 people)
Sales team: 4 hours/week per person on account research (8 people)
Operations team: 6 hours/week per person on inventory decisions (4 people)
Customer Success: 5 hours/week per person on account monitoring (3 people)

Total: 154 hours/week 

With Dust + NetSuite AI:

60% average time reduction across all use cases through ERP AI automation = 62 hours/week saved

Investment:

Dust platform
Implementation
NetSuite AI Connector

Payback period: 3.3 months

Beyond Quantified Savings

Strategic Agility: Faster access to insights through AI orchestration enables quicker responses to market changes, competitive threats, and customer needs.

Innovation Enablement: Employees freed from manual work have time for strategic thinking, process improvement, and innovation.

Talent Attraction & Retention: Modern AI-powered work environments attract top talent and improve employee satisfaction.

Competitive Differentiation: Early AI adoption creates organizational capabilities competitors struggle to replicate.

Scalability: AI-powered processes scale more efficiently than human-intensive alternatives as business grows.

Getting Started with Dust

Prerequisites

Before implementing Dust, ensure you have:

• NetSuite AI Connector already set up or planned for implementation
• Clear identification of initial use cases and target users
• Executive sponsorship for AI initiative
• Budget allocation for platform and services
• Internal project manager or champion assigned

Proof of Concept Approach

Week 1-2: Foundation

Dust platform setup and configuration. Connect NetSuite via AI Connector and 2-3 additional priority systems. Create 1-2 initial agents for high-value use cases. Train 3-5 power users on agent creation and usage.

Week 3-4: Expansion

Power users create additional agents for their specific needs. Connect more data sources based on emerging requirements enabling broader NetSuite integration. Gather detailed feedback on agent quality and usefulness. Refine agents based on real-world usage patterns.

Week 5-6: Validation

Measure actual time savings and quality improvements quantitatively. Calculate preliminary ROI based on pilot results. Identify additional high-value use cases discovered during pilot. Document lessons learned and best practices.

Week 7-8: Scale Planning

Present results to stakeholders with concrete ROI data. Plan broader rollout by department or function. Establish governance framework and usage guidelines. Create training materials and onboarding process for new users.

Next Steps with Novutech

Novutech provides end-to-end Dust implementation services leveraging our NetSuite AI Connector expertise.

Strategic Consulting:
AI readiness assessment and strategy development. Use case identification and prioritization. ROI modeling and business case development. Change management planning and execution.

Technical Implementation:
Dust platform setup and configuration. Data source connections including NetSuite AI Connector. Initial agent development for priority use cases. Security and governance configuration.

Enablement & Training:
User training on agent creation and usage. Documentation and best practices guides. Internal champion development. Ongoing optimization support.

Ongoing Partnership:
Regular usage reviews and optimization recommendations. New agent development as needs evolve. Training for new users and departments. Strategic guidance on AI expansion.

Explore our complete NetSuite services and expertise

Conclusion

The NetSuite AI Connector opens the door to conversational ERP access. Dust scales that capability across your entire organization through powerful AI orchestration, connecting every business system into unified, intelligent workflows.

Organizations that successfully scale AI don't just implement technology—they transform how work gets done through comprehensive ERP AI automation. They break down information silos. They empower employees with instant access to comprehensive insights. They make better decisions faster. They create sustainable competitive advantages.

The question isn't whether AI will transform your organization, but whether you'll lead that transformation or follow competitors.

Novutech, leveraging experience demonstrated at Grow with NetSuite Paris 2025, combines NetSuite AI Connector expertise with Dust implementation services to deliver comprehensive enterprise AI solutions.

The future of work is AI-powered. Start your enterprise AI journey today.

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