AI Assessment

Future-Proof Your Business

Executive Summary

Trend Micro is showing promising momentum in AI adoption within Marketing Operations. Your marketing team demonstrates solid skills with AI tools and has embraced technologies like copilots, PathFactory, and 6sense for data enrichment. However, your progress faces significant barriers: disconnected systems, restricted data access, absence of lead-to-account matching, and lack of a structured implementation plan. On the positive side, your leadership shows interest in AI applications, and you’ve established responsible-use policies with moderate executive backing. Based on our comprehensive evaluation, your organization currently sits at Level 2 of AI adoption: individual team members use AI tools, but these capabilities aren’t yet woven into your shared workflows. By addressing system integration challenges, creating a clear strategic plan, and establishing formal ownership, you can advance to Level 3 where you’ll see consistent automation and measurable business results.

We recommend focusing on these key priorities:

Establish formal leadership and cross-functional partnerships for AI initiatives
Develop an actionable roadmap with specific 90-day goals followed by phased expansion
Implement Openprise to consolidate data, expand enrichment beyond 6sense, and resolve lead-to-account matching issues
Launch three strategic pilots: enhanced lead scoring/routing, SDR handoff support, and accelerated campaign creation
Implement regular training sessions and create standardized playbooks to transform experimental approaches into repeatable processes

As Senior Director for North America Marketing at Trend Micro, you lead marketing efforts within a large enterprise of over 15,000 employees. Your team shows enthusiasm for AI experimentation and has already taken steps toward responsible implementation through policy development. However, your progress is constrained by challenges with data accessibility and system integration.

To properly assess your AI maturity, we evaluate organizations across four distinct adoption levels:

Level 1: Random AI usage without clear policies or strategies, resulting in isolated impacts
Level 2: Individual team members apply AI for specific tasks like analysis or content creation, with minimal coordination across departments
Level 3: AI supports regular workflows through automation for activities such as persona classification, sentiment analysis, and personalized communications
Level 4: AI fully integrates across all teams, enabling highly personalized customer interactions and significantly faster go-to-market execution

Your organization currently operates at Level 2. Team members are individually using AI tools, but these applications remain disconnected from your core marketing workflows. With targeted improvements to data infrastructure and clearer governance, you show strong potential to advance to Level 3. This progression would substantially reduce manual workloads, improve handoff efficiency, and enhance conversion rates by ensuring accounts reach the right teams at the optimal time. Your most significant opportunities for improvement lie in implementing Openprise, establishing lead-to-account matching capabilities, and creating a shared roadmap with clear ownership and measurable objectives.

Team &
Skills

01

The foundation of any successful AI implementation rests on your team’s capabilities and organization. At Trend Micro, we observe several strengths in your current setup.

Your marketing team demonstrates mid-level AI proficiency with consistent experimentation and genuine interest in expanding their capabilities. You’ve wisely established formal guidelines for responsible AI usage, reducing potential risks. Your team already uses copilot technologies to assist with content creation and task management, showing practical application of AI tools.

Despite these strengths, several key gaps need attention. Training happens sporadically, leading to uneven skill distribution and missed opportunities to share effective practices. Your marketing team has limited collaboration with Revenue Operations, which prevents you from implementing cross-functional AI use cases. Without formal AI leadership, your prioritization process lacks consistency and standardization.

To address these challenges, we recommend:

Implementing a structured quarterly training program with role-specific modules for Marketing Operations, Revenue Operations, SDR leadership, and field marketing teams covering prompt techniques, quality assurance procedures, and privacy/security guidelines
Creating an AI Champions group with representatives from Marketing Operations, Revenue Operations, Sales Operations, and Analytics that meets every two weeks to review experiments, develop playbooks, and discontinue ineffective approaches
Developing practical resources including prompt libraries, campaign creation checklists, and data verification processes that combine AI capabilities with human oversight
Establishing controlled testing environments with pre-approved datasets and tools to allow experimentation without creating risk or fragmenting your data

01

Strategy

02

A coherent strategy provides the framework for successful AI implementation, ensuring your technology investments align with business goals and deliver measurable value.

At Trend Micro, you’ve engaged an agency to help shape your AI roadmap, and your leadership has shown support with moderate sponsorship. However, we’ve noticed multiple competing strategies operating simultaneously, creating confusion and hindering progress. You currently lack a unified roadmap or structured process for evaluating and prioritizing AI use cases.

To create a more focused approach, we recommend:

Forming a dedicated steering committee with clear decision authority, including yourself as Senior Marketing leader, along with representatives from Revenue Operations, Sales Operations, and IT/Data teams
Creating a concise charter document outlining your purpose, principles for responsible AI use, expected outcomes (such as reduced cycle times, improved SLA performance, and pipeline growth), and reporting schedule
Developing a detailed 90-day implementation plan:
- First 30 days: Finalize priority use cases, create a data readiness assessment, and assign ownership
- Days 31-60: Build pilot solutions, conduct user acceptance testing, and develop adoption resources
- Days 61-90: Launch your pilots, measure results, and determine which initiatives to scale
Establishing clear criteria for prioritizing initiatives based on value (time savings, revenue impact), feasibility (data availability, integration complexity), and risk factors (privacy considerations, brand impact)
Allocating budget for essential elements including Openprise configuration, data projects, staff time from Marketing Operations, Revenue Operations and IT, with optional spending for conversation intelligence or routing tools if needed

02

Data

03

The quality, accessibility, and integration of your data systems form the backbone of effective AI implementation in marketing operations.

Your current technology platforms at Trend Micro provide a solid foundation but suffer from integration limitations, with isolated systems and restricted access. While your privacy and security controls are robust, you aren’t leveraging AI for data preparation tasks and rely exclusively on 6sense for data enrichment. The absence of lead-to-account matching capability negatively impacts your routing and reporting processes.

To strengthen your data foundation, we recommend:

Following a structured integration sequence:
1. Stabilize the synchronization between your CRM and marketing automation platform
2. Connect 6sense intent and firmographic data with your core systems
3. Implement Openprise as your central data operations platform
Using Openprise to manage key data functions:
- Implement tiered deduplication rules for contacts, accounts, and leads
- Standardize and normalize critical fields including industry classifications, job functions, and geographic information
- Add at least one additional data provider beyond 6sense to improve coverage and accuracy
- Create lead-to-account matching using multiple identifiers (domain, company name, location) and intent signals, with appropriate confidence thresholds and a review process
Improving data accessibility by creating shared, read-only views for Marketing and Revenue Operations teams, publishing a comprehensive data dictionary, and establishing service level agreements for data freshness
Carefully introducing AI-assisted data preparation, starting with classification suggestions for job functions and product interests, along with text standardization, while maintaining human review
Establishing monthly tracking for key data metrics including match rates, field completion rates, deduplication effectiveness, record completeness, and routing accuracy

03

Efficiency

04

Operational efficiency represents one of the most immediate opportunities for AI to deliver tangible value in your marketing operations.

Currently at Trend Micro, your automation capabilities show limited implementation with only incremental improvements across campaign execution, lead routing, and audience segmentation. While copilot technologies assist with individual tasks, they aren’t integrated into key workflow checkpoints. Real-time analysis capabilities remain unused.

To demonstrate AI’s efficiency benefits, we recommend launching three targeted pilot initiatives:

Enhanced lead scoring and prioritization system
- Combine multiple data dimensions: firmographic information (from CRM/6sense), intent signals (from 6sense), and engagement metrics (from your marketing automation platform) into a unified scoring model
- Use Openprise to calculate and update these scores, and work with Revenue Operations and sales leaders to test appropriate thresholds
- Measure success through 15-25% improvement in MQL-to-SAL conversion rates, increased sales acceptance, and reduced time-to-contact
Intelligent lead routing and SDR support
- Create automatic assignment rules based on territory definitions, account ownership, and demonstrated product interest, with alerts for SLA violations
- Provide SDRs with AI-generated contact summaries and conversation recommendations, including links to relevant PathFactory content
- Track improvements in time-to-first-contact, SLA compliance rates, and meeting scheduling effectiveness
Campaign production assistance and quality control
- Develop a streamlined workflow that generates email drafts and landing page content from campaign briefs, with integrated quality checks for links, naming conventions, segment alignment, and tracking parameters
- Aim for 30-40% reduction in campaign production time, fewer build errors, and reduced rework requirements

04

Customer
Experience

05

While internal efficiency gains are valuable, AI’s most significant potential lies in transforming how your customers experience your brand and offerings.

At Trend Micro, your personalization efforts remain at a basic level, without AI applications for journey mapping, feedback analysis, or account-based marketing. PathFactory represents your only customer-facing AI touchpoint, while other platforms’ AI capabilities remain either unused or limited to internal functions.

To enhance customer experience through AI, we recommend:

Improving your segmentation foundation with cleaner data on industry classifications, company size, buying stage indicators, and problem themes (sourced from 6sense and form submissions), then using these fields to drive content rules
Leveraging PathFactory to build specialized content sequences by industry and buying stage, integrated with your marketing automation platform to suggest optimal content when engagement reaches defined thresholds
Creating targeted account-based marketing initiatives triggered by 6sense signals, coordinating email outreach from account executives with retargeting and customized PathFactory content tracks. Start with your top 50 accounts to refine your approach
Analyzing various feedback sources including call notes, chat transcripts, support tickets, and survey responses to identify objections and product interests by segment, then incorporating these insights into messaging and sales conversations
Implementing basic journey analytics tracking three critical transitions: first touch to MQL, MQL to initial meeting, and first meeting to stage 2 opportunities, with monthly reporting to Marketing and Sales leadership

05

Conclusion

Based on our assessment, we recommend pursuing three parallel workstreams to advance your AI capabilities:

Skills Development
- Conduct role-specific training sessions for Marketing Operations, Revenue Operations, and SDR leadership teams covering effective prompting techniques, quality assurance practices, privacy/security considerations, and use case examples
- Establish regular office hours for your AI Champions group to review experiments and document proven approaches
Use Case Implementation
- Execute the three recommended pilot projects: enhanced scoring/prioritization, improved routing with handoff support, and campaign production assistance
- Define clear performance metrics and report results to your steering committee biweekly
Strategic Planning and Infrastructure
- Complete your AI roadmap with your agency partner, prioritizing your 90-day plan followed by phase-two initiatives focused on journey analytics, sentiment analysis, and expanded account-based marketing
- Implement Openprise to address lead-to-account matching, enhance data enrichment through multiple sources, and improve overall data accessibility

With your team’s evident curiosity, established policies, and leadership backing, Trend Micro can realistically advance from Level 2 to Level 3 AI adoption within six months by focusing on system integration, formal governance, and high-impact use cases. These improvements will substantially reduce manual workloads, enhance your routing and handoff processes, and enable faster action through better data quality and simplified workflows.