You've Been Asked to Develop an AI Strategy for Your IP Program. Now What?
Internal IP teams are getting the mandate to integrate AI, but don't have the frameworks to respond strategically.
We help you develop coherent AI integration strategies—from workflow analysis and build vs. buy decisions to implementation roadmaps and executive communication.
We develop AI integration strategies that create value for your organization.
The mandate is clear: "Integrate AI into patent workflows."
But most IP leaders are stuck between the ask and the answer:
Where should AI actually fit in our processes?
When should we build on internal platforms vs. buy external tools?
How do we design an approach that gets adopted, not ignored?
What does success actually look like? How do we measure and communicate it?
We answer these questions with a strategic framework tailored to your organization—then implement it to prove the value.
Establishing your path.
Every AI integration strategy we develop addresses four core questions
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Where in our patent workflows will AI deliver the most meaningful impact?
What can our internal AI platforms handle effectively, and where do we need specialized third-party tools?
How do we work with outside counsel to leverage AI in their services while maintaining quality and reducing costs?
What does sustainable adoption look like, and how do we design for it?
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Which quick wins will build momentum and prove the approach works?
What strategic capabilities will unlock the most long-term value?
Where do gaps require external tools, and what's the ROI threshold for purchasing them?
Which capabilities become viable when enterprise-wide access removes cost barriers?
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What's the right phased rollout strategy with clear milestones and dependencies?
How do we integrate new AI capabilities with existing workflows without disruption?
What organizational barriers exist, and how do we address them through change management?
How do we ensure responsible AI use and mitigate risks through governance and quality controls?
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Which efficiency and quality metrics demonstrate ROI to leadership?
How do we measure new capabilities that weren't previously possible?
What adoption signals tell us whether the approach is actually working?
How do we communicate results to executives in terms they care about?
Why This Matters
Most Organizations Are Making These Mistakes
Buying tools before defining the strategy
Piloting technologies without a coherent philosophy
Focusing on AI capabilities instead of business outcomes
Treating this as an IT project instead of a strategic initiative
Our Approach
We help you avoid these pitfalls by starting with strategy, not tools.
Define your AI integration philosophy first
Make build vs. buy decisions strategically, not reactively
Tie every capability to measurable business value
Treat this as organizational change, not just technology deployment
Our Process
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01 Audit & Strategy Development
We map your current patent workflows and assess your enterprise AI capabilities against your actual needs.
What we evaluate:
· Current workflows
· Enterprise AI platform capabilities
· Supporting tools and utilization rates
· Cultural readiness and organizational dynamics
You receive:
· Comprehensive AI integration strategy document
· Clear decision framework for build vs. buy
· Implementation roadmap with clear priorities
· Executive presentation materials
Est. Time: 8-12 weeks
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02 Test & Implementation
We prioritize activities to identify short-term wins and longer-term process shifts and implement the first phase of your roadmap to confirm the approach delivers value.
We build and deploy:
· Custom workflows on your enterprise AI platforms
· Integrations with existing tools and processes
· Governance frameworks and quality controls
· Measurement dashboards and reporting
You receive:
· Production-ready capabilities in action
· ROI documentation for leadership
· Validated approach ready to scale
Est. Time: 12-16 weeks
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03 Optimize & Expand
We continue to measure, refine, and expand your AI capabilities as your needs evolve and platforms advance.
· Continuous measurement and reporting
· Strategy refinement as platforms evolve
· New capability development
· Executive business reviews
Est. Time: Ongoing
Who is this for?
Who need a coherent answer to "what's our AI strategy?"
Chief Patent Counsel
Responsible for justifying innovation investments to the C-suite
General Counsel
Tired of piloting tools or processes that never scale and need measurable results
IP / Patent Directors
Who need systematic approaches to capture innovation from ongoing work and future opportunities
R&D / Technology Managers
Why Murgida & Co.
Strategy That Gets Implemented
Most consultants hand you a report and move on. We develop your AI integration strategy, then work with you to implement it—whether that's hands-on delivery, ongoing support, or running capabilities for you long-term.
What makes us different:
Strategic framework development - Not generic consulting, but tailored integration philosophy based on your workflows, culture, and business objectives
Build vs. buy expertise - 20+ years of hands-on experience with enterprise IP operations—we know which tools deliver ROI and which don't
Implementation capability - We prove the strategy works by building it—production-ready workflows, not PowerPoint decks
Enterprise platform fluency - Deep knowledge of what Microsoft Copilot, Google Gemini, and similar platforms can actually do for patent workflows
Business outcome focus - Every recommendation ties to measurable value—cost reduction, quality improvement, or new capabilities unlocked
Ready to Build Your AI Strategy?
You've been handed the mandate. Now you need a framework that works.
We help IP leaders develop coherent AI integration strategies—then implement them to deliver measurable results..