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10 strategies and tactics for Artificial Intelligence

What is Artificial Intelligence strategy?

Team success often hinges on the ability to develop and implement effective strategies and tactics. It's a bit like playing chess, except that you have more than 1 player on each side.

Crafting the perfect Artificial Intelligence strategy can feel overwhelming, particularly when you're juggling daily responsibilities. That's why we've put together a collection of examples to spark your inspiration.

Transfer these examples to your app of choice, or opt for Tability to help keep you on track.

How to write your own Artificial Intelligence strategy with AI

While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI generator below or our more complete goal-setting system to generate your own strategies.

Artificial Intelligence strategy examples

You'll find below a list of Artificial Intelligence tactics. We also included action items for each template to make it more practical and useful.

Strategies and tactics for developing a Marketing Plan for the Artificial Intelligence Conference 2025

  • ⛳️ Strategy 1: Leverage influential partnerships and sponsorships

    • Engage with the Minister of Artificial Intelligence, Omar Al-Olama, for promotional messaging and social media endorsement
    • Collaborate with AI-focused organisations for media partnerships and broader conference reach
    • Secure sponsorship deals with leading AI companies to enhance credibility
    • Coordinate with the Intercontinental Festival City Hotel for co-marketing opportunities
    • Involve high-profile main speakers in the marketing campaigns
    • Utilise sponsorship logos across all promotional materials
    • Create a dedicated webpage listing all sponsors and partners with links to their profiles
    • Produce joint press releases with sponsors and partners to announce the event
    • Highlight partnership benefits and testimonials on social media campaigns
    • Organise pre-event webinars or interviews featuring sponsors and partners

  • ⛳️ Strategy 2: Target AI researchers and academic institutions

    • Compile a list of major universities and academic institutions with strong AI departments
    • Craft and send formal invitation letters to department heads and influential professors
    • Offer special early-bird registration discounts for first 50 researcher sign-ups
    • Promote conference participation via academic journals and newsletters
    • Host an online information session about conference opportunities for researchers
    • Coordinate with universities for potential research paper presentations
    • Facilitate a digital platform for researchers to submit abstracts and papers
    • Engage student ambassadors to promote the conference at their universities
    • Use LinkedIn groups and academic forums to disseminate information
    • Feature accepted research titles on the conference website

  • ⛳️ Strategy 3: Execute a multi-channel digital marketing campaign

    • Develop a visually engaging conference website with registration capabilities
    • Implement a countdown timer and regularly update the website content
    • Utilise social media platforms including LinkedIn, Twitter, and Facebook for targeted advertisements
    • Create a series of email newsletters to update and engage potential attendees
    • Use pay-per-click advertising to reach AI professionals globally
    • Implement search engine optimisation strategies to increase conference visibility
    • Design and distribute digital flyers and banners across AI forums and communities
    • Develop engaging content such as blogs and videos about AI trends and the conference
    • Engage influential AI bloggers and vlogs for endorsements
    • Establish a conference hashtag for social media engagement and tracking
marketing-planai-conferencemarketing-managerevent-coordinatormarketing-teamconference-organizing-team
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Strategies and tactics for becoming an AI and ML Expert

  • ⛳️ Strategy 1: Start with foundational knowledge

    • Research and enrol in an introductory course on artificial intelligence and machine learning
    • Read and understand the basic concepts of computer science and programming languages like Python
    • Study linear algebra, calculus, probability, and statistics to build a mathematical foundation
    • Learn about data structures and algorithms through online resources and textbooks
    • Practise coding regularly using platforms like LeetCode or HackerRank
    • Build a small project applying basic machine learning concepts to real-world data
    • Join online communities and forums dedicated to AI and ML beginners
    • Attend webinars and introductory seminars to gain insight into the field
    • Identify key textbooks and resources recommended by experts in the field
    • Create a timeline with specific milestones for mastering foundational concepts

  • ⛳️ Strategy 2: Engage in hands-on projects and practical experience

    • Download and explore popular AI and ML libraries such as TensorFlow and Scikit-learn
    • Implement simple algorithms like linear regression and k-means clustering from scratch
    • Participate in AI and ML competitions on platforms like Kaggle for practical learning
    • Contribute to open source AI and ML projects to gain collaborative experience
    • Design and execute a project that applies AI to solve a personal interest or problem
    • Utilise platforms like GitHub to track and share personal projects and progress
    • Regularly practise data preprocessing, feature engineering and model evaluation techniques
    • Collect, clean, and analyse datasets to understand data handling and manipulation
    • Utilise online tutorials and blogs to enhance programming skills related to AI and ML
    • Seek mentorship or guidance from professionals in the field to navigate challenges

  • ⛳️ Strategy 3: Stay updated and build expertise

    • Subscribe to AI and ML journals, blogs, and newsletters to stay current with industry trends
    • Attend conferences, workshops, and seminars specifically focused on AI and ML advancements
    • Join professional networks and organisations dedicated to AI and ML specialists
    • Engage in continuous learning through advanced courses and certifications in AI and ML
    • Follow and connect with thought leaders and experts within the AI and ML community
    • Regularly participate in hackathons to apply advanced skills in a competitive setting
    • Track emerging AI technologies and tools that enhance learning and application
    • Write articles or create content on AI and ML topics to deepen understanding and share insights
    • Engage in collaborative projects with peers to explore different perspectives and solutions
    • Regularly review academic papers and case studies to understand application contexts
artificial-intelligencemachine-learningai-specialistdata-scientistresearch-teamdevelopment-team
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Strategies and tactics for exploring the Potentials of the Eurasian Economic Union

  • ⛳️ Strategy 1: Enhance regional collaboration in ICT

    • Establish a regional task force dedicated to the integration of communication technologies
    • Encourage cross-border joint ventures in ICT sectors
    • Organise annual conferences to share technological innovations and best practices
    • Promote open-source software development across member countries
    • Facilitate bilateral and multilateral agreements on ICT policies
    • Develop a shared digital infrastructure for seamless communication
    • Implement a regional regulatory framework for data protection
    • Foster educational exchanges in ICT disciplines
    • Support start-ups and incubators focusing on ICT advancements
    • Coordinate public and private investments in ICT development

  • ⛳️ Strategy 2: Invest in artificial intelligence innovation

    • Create a regional AI research fund to support innovation
    • Establish AI innovation hubs in key member cities
    • Promote cross-country academic collaborations in AI research
    • Develop a centralised database for AI research data
    • Encourage public-private partnerships in AI development projects
    • Organise AI-focused hackathons to spark creative solutions
    • Implement AI in government services for improved efficiency
    • Facilitate access to AI training for local workforces
    • Recognise and reward significant AI innovations with regional awards
    • Advocate for AI-friendly policies to encourage entrepreneurship

  • ⛳️ Strategy 3: Accelerate digital transformation and economy

    • Launch a digital transformation roadmap tailored to EEU needs
    • Standardise digital methods and platforms for trade and commerce
    • Encourage digital literacy programs across all age groups
    • Invest in digital infrastructure such as broadband and 5G networks
    • Support digital finance and fintech innovations
    • Facilitate seamless e-commerce operations across borders
    • Enable access to digital markets for small and medium enterprises
    • Promote digital solutions in traditional industries
    • Measure and track digital economy contributions to GDP
    • Organise workshops and seminars on digital economy trends and opportunities
regional-collaborationartificial-intelligenceict-expertai-researcherdigital-transformation-teaminnovation-hub-team
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Strategies and tactics for leveraging Artificial Intelligence in Legal Services

  • ⛳️ Strategy 1: Integrate AI into legal research

    • Assess current legal research processes to identify areas for AI enhancement
    • Research and select AI tools specialised in legal research
    • Conduct pilot projects using AI tools in specific legal cases
    • Train legal staff on effective AI tool usage for research
    • Establish metrics to measure improvements in research efficiency
    • Analyse feedback from pilot projects to refine AI integration
    • Develop protocols for AI-driven legal research
    • Integrate AI research findings into ongoing legal cases
    • Regularly review AI systems for updates and legal accuracy
    • Publish case studies on improvements due to AI-enhanced research

  • ⛳️ Strategy 2: Automate document review and due diligence

    • Identify repetitive document review processes suitable for AI automation
    • Select AI solutions that specialise in document review
    • Run a small-scale document review automation project
    • Train staff on using AI for document and due diligence processes
    • Implement a feedback loop for AI document review projects
    • Measure time saved and errors reduced by AI document review
    • Scale successful AI document review models firm-wide
    • Ensure AI compliance with legal privacy and confidentiality standards
    • Monitor ongoing AI effectiveness in document review
    • Report on AI impact in document handling and accuracy improvements

  • ⛳️ Strategy 3: Enhance client interaction through AI

    • Evaluate client interaction points for potential AI integration
    • Develop AI-driven chatbots for initial client consultations
    • Integrate AI systems with client management tools
    • Offer clients options for AI-enhanced service delivery
    • Train client-facing staff on AI interaction tools
    • Collect client feedback on AI-driven interaction improvements
    • Use AI analytics to personalise client service offerings
    • Regularly update AI to ensure it aligns with client needs
    • Analyse client retention and satisfaction related to AI services
    • Advertise AI enhancements as part of competitive service offerings
artificial-intelligencelegal-serviceslegal-researcherai-trainerlegal-tech-specialistsclient-relations-team
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Strategies and tactics for addressing AI's Impact on Writing Skills

  • ⛳️ Strategy 1: Empower teachers to recognise AI-assisted writing

    • Conduct workshops to train teachers in recognising AI-generated text
    • Develop resources highlighting common characteristics of AI-written content
    • Encourage collaboration among educators to share strategies for detection
    • Implement software that detects potential AI-assisted writing in assignments
    • Create a database of examples of AI-generated vs. human-generated text
    • Promote critical thinking exercises that challenge students to revise AI-written drafts
    • Encourage teachers to personalise writing assignments requiring unique perspectives
    • Organise teacher-led discussions on technology use and academic honesty
    • Support teachers with clear guidelines on handling AI-facilitated cheating
    • Advocate for continuous professional development on evolving AI technologies

  • ⛳️ Strategy 2: Encourage writing as a critical thinking process

    • Introduce writing workshops focusing on creativity and original thought
    • Incorporate writing assignments that require in-depth analysis and reflection
    • Foster a classroom culture where the writing process is emphasised over results
    • Provide feedback that critiques the reasoning and originality behind students' writing
    • Use peer review sessions to help students learn from one another's writing
    • Assign projects that integrate research and personal insights, beyond AI's capabilities
    • Design activities that require students to defend their writing choices
    • Host seminars featuring writers and thinkers who articulate their writing processes
    • Promote journaling practices that encourage self-expression and personal growth
    • Develop co-curricular writing clubs to engage students in non-academic writing

  • ⛳️ Strategy 3: Guide students in using AI tools ethically and effectively

    • Create lessons on the ethical implications of using AI in writing
    • Demonstrate how to use AI tools for editing as supportive, not substitute, aids
    • Encourage responsible digital literacy that respects intellectual integrity
    • Provide students with scenarios depicting misuse of AI tools and consequences
    • Host workshops with writers who successfully balance technology use
    • Teach students how to critically evaluate suggestions from AI tools
    • Develop resources that show ethical use of AI in a variety of writing contexts
    • Foster discussions summarising the limitations and risks of AI in writing
    • Encourage reflective writing on personal experiences with AI technologies
    • Integrate AI literacy into the broader digital citizenship curricula
ai-toolswriting-skillsteachersstudentseducatorswriting-workshops
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Strategies and tactics for transforming the Biotechnology Field with AI, ML, and Bio-entrepreneurship

  • ⛳️ Strategy 1: Integrate AI and ML into the curriculum

    • Develop AI and ML specific modules tailored for biotechnology applications
    • Integrate real-world case studies highlighting AI and ML use in biotechnology
    • Invite guest lecturers with experience in AI and ML in biotech for workshops
    • Launch online AI and ML certification courses for biotechnology students
    • Establish partnerships with tech companies for resource sharing and insights
    • Create interdisciplinary labs to encourage AI and ML collaborations with biotech students
    • Incorporate AI-driven biostatistics tools into coursework
    • Conduct AI and ML seminars featuring breakthroughs in biotechnology
    • Facilitate AI-focused hackathons addressing biotech problems
    • Implement peer learning groups to foster AI and ML skills amongst students

  • ⛳️ Strategy 2: Embed health equity and justice principles

    • Design curriculum modules focused on health equity and justice
    • Initiate research projects aimed at addressing health disparities
    • Collaborate with community organizations to educate students on social determinants of health
    • Include successful case studies of health equity integration in biotechnology
    • Train faculty to sensitively teach and discuss health equity principles
    • Organize conferences featuring leaders in health equity and justice
    • Create mentorship programs linking students with health equity advocates
    • Incorporate reflective learning exercises focusing on justice in biotechnology
    • Facilitate forums for students to discuss and propose equity-centered biotechnology solutions
    • Develop an assessment system evaluating the integration of equity principles in student projects

  • ⛳️ Strategy 3: Foster bio-entrepreneurship and leadership

    • Establish a dedicated bio-entrepreneurial incubation centre
    • Host regular pitch competitions with industry experts as judges
    • Offer courses on business planning and startup management specific to biotechnology
    • Partner with biotech startups for internship opportunities
    • Connect students with entrepreneurs in residence for mentorship
    • Create a network of MSBT alumni who have embarked on entrepreneurial ventures
    • Encourage project work focused on startup solutions to bioscience problems
    • Provide seed funding for student-led biotechnology projects
    • Publish a newsletter featuring successful student-led startups
    • Develop a comprehensive guide on navigating biotech entrepreneurship
artificial-intelligencebiotechnologybio-entrepreneurai-specialistcurriculum-development-teamresearch-projects-team
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Strategies and tactics for enhancing NAPSA's Strategic Initiatives

  • ⛳️ Strategy 1: Implement digital transformation

    • Develop and launch a digital member portal and mobile app by 2028
    • Enhance ICT infrastructure to support digital services
    • Integrate artificial intelligence for hyper-personalised member services
    • Conduct training sessions for staff on new digital tools and platforms
    • Implement an integrated data management system to improve data quality
    • Increase digital claims processing to ensure claims are paid within 24 hours by 2029
    • Monitor and evaluate digital service quality through member feedback
    • Increase online engagement and communication with members
    • Ensure data security measures are enhanced to reduce cybersecurity risks
    • Develop KPIs to track digital transformation success annually

  • ⛳️ Strategy 2: Expand coverage into the informal sector

    • Develop innovative pension products tailored for the informal sector
    • Increase informal sector membership by 50% annually
    • Conduct outreach programs to educate the informal sector about pension benefits
    • Establish partnerships with informal sector associations
    • Implement mobile payment solutions to facilitate contributions
    • Conduct surveys to understand the needs of the informal sector participants
    • Create marketing campaigns targeted at informal sector workers
    • Monitor and report on coverage expansion progress quarterly
    • Provide incentives for informal sector employers to enroll employees
    • Regularly update strategic approaches based on feedback from new members

  • ⛳️ Strategy 3: Embed sustainability and ESG principles

    • Increase investment in green energy and ESG-compliant projects
    • Embed ESG criteria into the investment decision-making process
    • Conduct regular ESG-related training for investment managers
    • Engage with stakeholders to promote understanding of ESG principles
    • Develop a sustainability policy aligned with corporate strategy
    • Incorporate ESG performance metrics into investment evaluations
    • Publish an annual ESG performance report to stakeholders
    • Set measurable ESG targets for the portfolio by 2030
    • Foster partnerships with ESG-focused organisations
    • Offer staff incentives linked to achieving sustainability goals
digital-transformationsustainabilityict-specialistesg-managerdigital-services-teamoutreach-and-communications-team
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Strategies and tactics for creating efficiencies through artificial intelligence

  • ⛳️ Strategy 1: Analyse existing processes

    • Conduct a comprehensive review of current workflows
    • Identify repetitive and time-consuming tasks suitable for automation
    • Identify key performance metrics to monitor improvements
    • Engage with team members to understand pain points in current processes
    • Evaluate the potential for AI to enhance decision-making processes
    • Consult with AI experts to assess the suitability of AI technologies
    • Prioritise processes with the highest potential for efficiency gains
    • Map out the current process flowcharts for clarity
    • Identify potential challenges and constraints in AI implementation
    • Set clear AI implementation goals aligned with business objectives

  • ⛳️ Strategy 2: Integrate AI tools

    • Research and select AI tools that align with identified needs
    • Develop a timeline for the phased integration of AI tools
    • Test AI tools with a pilot programme to ensure compatibility
    • Train staff on new AI technologies and their benefits
    • Integrate AI tools into existing systems and processes
    • Regularly collect feedback from users on AI tool performance
    • Monitor key performance metrics to assess the impact
    • Make iterative improvements based on user feedback
    • Ensure robust data security and compliance with AI tools
    • Document lessons learned and best practices

  • ⛳️ Strategy 3: Foster a culture of innovation

    • Encourage team members to suggest AI applications
    • Establish innovation workshops to generate AI ideas
    • Create a dedicated innovation task force for AI projects
    • Provide continuous training on emerging AI trends
    • Celebrate successes and recognise innovative peers
    • Promote cross-departmental collaboration for AI projects
    • Incorporate AI innovation goals into personal development plans
    • Provide incentives for teams that successfully implement AI
    • Conduct regular brainstorming sessions on AI advancements
    • Embed AI thinking in strategic planning across the organisation
efficiencyautomationai-consultantoperations-managerit-support-teaminnovation-task-force
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Strategies and tactics for mengembangkan rencana AI untuk pendidikan

  • ⛳️ Strategy 1: Integrasikan teknologi AI ke dalam bahan pembelajaran

    • Identifikasi mata pelajaran yang dapat diuntungkan dengan bantuan AI
    • Kembangkan konten interaktif yang didukung AI untuk mata pelajaran yang dipilih
    • Libatkan pendidik dalam mendesain bahan ajar berbasis AI
    • Evaluasi efektivitas materi pembelajaran AI dengan uji coba di kelas
    • Sediakan pelatihan bagi guru tentang penggunaan teknologi AI dalam pembelajaran
    • Implementasikan pembelajaran adaptif yang disesuaikan dengan kebutuhan siswa
    • Gunakan chatbots AI untuk menyediakan umpan balik real-time kepada siswa
    • Integrasikan AI dalam platform e-learning untuk personalisasi kurikulum
    • Gunakan analisis data AI untuk melacak kemajuan siswa
    • Kumpulkan umpan balik dari siswa dan guru untuk peningkatan berkelanjutan

  • ⛳️ Strategy 2: Gunakan AI untuk mempersonalisasi pembelajaran

    • Kembangkan profil siswa berbasis data untuk mempersonalisasi pembelajaran
    • Desain algoritma AI untuk menyesuaikan tugas sesuai tingkat kemampuan siswa
    • Libatkan siswa dalam menentukan personalisasi tujuan pembelajaran
    • Sediakan laporan kemajuan individual berbasis AI untuk setiap siswa
    • Gunakan AI untuk mengidentifikasi area kelemahan pada setiap siswa
    • Terapkan pengayaan berbasis AI bagi siswa dengan kemampuan lebih
    • Implementasikan sistem penilaian otomatis menggunakan AI
    • Gunakan AI untuk prediksi kesuksesan akademik jangka panjang
    • Pantau kinerja dan motivasi siswa melalui data AI
    • Sediakan sesi konsultasi individual dengan alat bantu AI

  • ⛳️ Strategy 3: Tingkatkan efisiensi administrasi pendidikan dengan AI

    • Otomatisasi proses pendaftaran siswa dengan sistem AI
    • Gunakan AI untuk manajemen jadwal dan sumber daya
    • Terapkan AI dalam penilaian ujian dan tugas secara otomatis
    • Gunakan AI untuk analisis data kehadiran siswa
    • Tingkatkan komunikasi antara sekolah dan orang tua melalui aplikasi berbasis AI
    • Otomatisasi laporan akademik dan administrasi dengan bantuan AI
    • Gunakan AI untuk perencanaan keuangan dan anggaran pendidikan
    • Gunakan chatbots AI untuk memberikan informasi administrasi waktu nyata
    • Implementasikan AI dalam pelacakan alokasi sumber daya di sekolah
    • Uji dan tingkatkan proses administratif ke sekolah melalui umpan balik AI
artificial-intelligenceeducationeducatoradministratortechnology-integration-teamai-development-team
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Strategies and tactics for implementing advanced analytical capabilities in the IDF ground force

  • ⛳️ Strategy 1: Develop a data-driven organisational culture

    • Train personnel in data science, machine learning, and software engineering
    • Create specialised roles focused on data analytics and management
    • Promote an organisational culture of inquiry and innovation
    • Establish continuous learning programmes based on data analysis
    • Facilitate regular workshops and seminars on data utilisation and analysis
    • Incentivise innovation with rewards for data-driven improvements
    • Foster an environment that encourages collaboration within and outside the organisation
    • Develop a mentorship programme pairing data experts with less experienced personnel
    • Encourage cross-departmental collaborations for holistic data insight
    • Involve personnel at all levels in data strategy development and feedback sessions

  • ⛳️ Strategy 2: Build comprehensive and secure data infrastructure

    • Develop standardised processes for data collection, storage, and management
    • Invest in building a secure and flexible hybrid cloud infrastructure
    • Enhance cybersecurity measures across all data storage systems
    • Establish clear protocols for data validation and cleaning
    • Deploy advanced tools for data analytics and artificial intelligence
    • Consolidate data from all sources into an integrated system
    • Create intuitive dashboards and user interfaces for data interaction
    • Set standards for data quality and reliability
    • Develop and implement new data collection sensors as needed
    • Regularly review and upgrade technology to meet evolving needs

  • ⛳️ Strategy 3: Collaborate with external partners for innovative solutions

    • Establish partnerships with academia for research and development
    • Collaborate with industry experts to adopt best practices
    • Work with other IDF branches to share insights and resources
    • Engage intelligence agencies for enhanced threat prediction capabilities
    • Form joint task forces for specific analytical projects
    • Organise regular knowledge exchange sessions with partners
    • Participate in international forums and conferences on data analytics
    • Co-develop solutions with partners to address specific challenges
    • Invest in joint training programmes with academic institutions
    • Include external stakeholders in periodic strategy reviews and feedback
data-driven-culturesecurity-infrastructuredata-analystcybersecurity-specialistdata-science-teamit-infrastructure-team
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How to track your Artificial Intelligence strategies and tactics

Having a plan is one thing, sticking to it is another.

Having a good strategy is only half the effort. You'll increase significantly your chances of success if you commit to a weekly check-in process.

A tool like Tability can also help you by combining AI and goal-setting to keep you on track.

More strategies recently published

We have more templates to help you draft your team goals and OKRs.

Planning resources

OKRs are a great way to translate strategies into measurable goals. Here are a list of resources to help you adopt the OKR framework:

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