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10 strategies and tactics for Intelligence

What is Intelligence strategy?

Every great achievement starts with a well-thought-out plan. It can be the launch of a new product, expanding into new markets, or just trying to increase efficiency. You'll need a delicate combination of strategies and tactics to ensure that the journey is smooth and effective.

Finding the right Intelligence strategy can be daunting, especially when you're busy working on your day-to-day tasks. This is why we've curated a list of examples for your inspiration.

Copy these examples into your preferred app, or you can also use Tability to keep yourself accountable.

How to write your own 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.

Intelligence strategy examples

You'll find below a list of 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 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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Strategies and tactics for developing internal business strategy for a Technology Service line

  • ⛳️ Strategy 1: Enhance technology compliance

    • Conduct a comprehensive audit of current technology compliance status
    • Establish clear compliance standards aligned with healthcare regulations
    • Implement a continuous monitoring system for compliance adherence
    • Educate staff on compliance best practices through regular workshops
    • Develop a centralised repository for compliance documentation
    • Integrate compliance checks into all technology procurement processes
    • Create a compliance task force to oversee enforcement and updates
    • Perform regular compliance risk assessments and analyses
    • Engage third-party auditors for unbiased compliance evaluation
    • Facilitate transparent reporting of compliance status to stakeholders

  • ⛳️ Strategy 2: Improve assessment processes

    • Define a standardised framework for technology assessments
    • Train teams on effective assessment methodologies and tools
    • Utilise advanced analytics to drive insightful assessment outcomes
    • Schedule regular assessment intervals for all technology operations
    • Gather feedback from staff and clients to refine assessment criteria
    • Deploy assessment software to ensure efficient data collection
    • Coordinate with compliance teams to align assessment objectives
    • Create a feedback loop to continuously improve assessment processes
    • Establish clear reporting channels for assessment results
    • Promote a culture of transparency in revealing assessment findings

  • ⛳️ Strategy 3: Strengthen business intelligence capabilities

    • Conduct a needs analysis to identify intelligence gaps
    • Invest in advanced BI tools and training for staff
    • Establish key performance metrics to drive BI focus
    • Streamline data integration from multiple healthcare sources
    • Develop a dashboard for real-time decision-making insights
    • Encourage cross-departmental collaboration for data sharing
    • Set up regular BI review meetings to discuss data-driven strategies
    • Pilot BI implementation projects in select units before wider rollout
    • Secure buy-in from leadership for funding BI initiatives
    • Monitor and adapt BI strategies based on evolving technical trends
technology-compliancebusiness-intelligencecompliance-officerbusiness-intelligence-analystcompliance-teambusiness-intelligence-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 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 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 growing Sales and Market Penetration for IMZ Corporate's IoT Solutions

  • ⛳️ Strategy 1: Enter the state excise departments market

    • Conduct market intelligence in Maharashtra, Jharkhand, Karnataka, and Kerala
    • Develop hyper-localized solution templates based on collected data
    • Map region-specific pain points to showcase immediate value
    • Create a narrative highlighting technological disruption in liquor supply chain management
    • Develop predictive analytics demonstrating cost savings beyond traditional tracking
    • Design cost-effective pilot programs with minimal client investment
    • Implement a 'Zero-Risk Pilot Program' with performance-linked pricing
    • Create transparent, data-driven ROI calculators
    • Offer flexible implementation models allowing modular scaling
    • Provide complimentary initial security and efficiency audits

  • ⛳️ Strategy 2: Target food corporations for market penetration

    • Identify Jharkhand Food Corporation as strategic entry point
    • Evaluate target based on openness to technological innovation and existing challenges
    • Develop a comprehensive digital security ecosystem extending beyond traditional tracking
    • Design modular solutions adaptable to various organisational complexities
    • Integrate machine learning algorithms for predictive loss prevention
    • Create user-friendly dashboards for real-time insights
    • Establish trust through transparent technological demonstrations
    • Offer phased implementation with clear milestone-based achievements
    • Provide continuous support and commit to technology evolution
    • Establish collaborative feedback mechanisms for improvement

  • ⛳️ Strategy 3: Penetrate the railway sector with innovative IoT solutions

    • Identify critical security and operational pain points in railway logistics
    • Develop comprehensive security solutions exceeding traditional tracking
    • Create a technology sandbox for continuous solution refinement
    • Integrate multiple tracking technologies including GPS, RFID, and AI-powered analytics
    • Develop predictive maintenance and security algorithms
    • Create a unified monitoring platform with intuitive interfaces
    • Ensure AIS 140 compliance with additional innovative features
    • Leverage academic and research partnerships to bolster credibility
    • Obtain necessary certifications and security clearances
    • Demonstrate technological superiority through live pilot programs
market-penetrationiot-solutionsmarket-researchertechnology-analystsales-teamtechnology-innovation-team
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Strategies and tactics for conducting competitive intelligence to improve review quality

  • ⛳️ Strategy 1: Analyse competitors' review platforms

    • Identify top competitors known for high-quality reviews
    • Research their review submission processes and guidelines
    • Evaluate the moderation and approval process for submitted reviews
    • Examine how competitors handle review authenticity and credibility
    • Investigate incentive structures and reward mechanisms they use
    • Analyse user feedback and satisfaction related to the review process
    • Identify technological tools and algorithms employed by competitors
    • Benchmark competitors' engagement metrics against ours
    • Study their user communication strategies and feedback loops
    • Assess competitors' handling of negative or fraudulent reviews

  • ⛳️ Strategy 2: Revamp our review incentive structure

    • Redefine criteria for high-quality reviews to merit rewards
    • Implement tiered reward system based on review quality levels
    • Introduce periodic bonus incentives for consistent quality submissions
    • Set up a review quality scorecard for users to track performance
    • Offer training sessions or guidelines on writing high-quality reviews
    • Conduct feedback surveys about the incentive system and its fairness
    • Use qualitative metrics to evaluate and reward useful reviews
    • Test different incentive models and measure their impact on quality
    • Create a community spotlight feature for top reviewers
    • Monitor and adjust incentives based on changing review trends

  • ⛳️ Strategy 3: Enhance review content quality

    • Develop clear guidelines for users on submitting high-quality reviews
    • Introduce an editor or AI tool to assist in improving review drafts
    • Implement a peer review system where reviews are assessed by fellow users
    • Provide constructive feedback on reviews to encourage improvement
    • Curate a best practices library for users to learn from top reviews
    • Set up an automated system to flag low-quality submissions for revision
    • Encourage multimedia content to support and enrich reviews
    • Host workshops or webinars on effective review writing
    • Promote a points or badge system for achieving quality milestones
    • Regularly audit content quality and adapt strategies accordingly
competitive-intelligencereview-qualitycompetitive-analystcontent-strategistmarket-researchcontent-development
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Strategies and tactics for expanding Sterling Tour and Travel Agency into the Kenyan Market

  • ⛳️ Strategy 1: Forge strategic partnerships

    • Identify and partner with a medium-sized Kenyan tour and travel agency
    • Leverage the local partner’s market knowledge and customer base
    • Align services to meet local cultural and tourist preferences
    • Ensure clear communication channels with partners
    • Negotiate mutually beneficial terms in partnership agreements
    • Engage local travel influencers to promote joint offerings
    • Create co-branded marketing materials with local partners
    • Host joint events and travel expos to increase brand visibility
    • Develop shared objectives and performance metrics
    • Regularly review and refine partnership strategies

  • ⛳️ Strategy 2: Adapt services to local market conditions

    • Research and understand customer preferences in Kenya
    • Develop Kenya-specific travel packages including popular destinations
    • Implement a pricing strategy that reflects local purchasing power
    • Offer flexible payment options tailored to Kenyan market needs
    • Launch culturally immersive experiences like safaris and heritage tours
    • Translate marketing materials into Swahili and other local languages
    • Align services with environmental and cultural preservation initiatives
    • Conduct training sessions for employees on local customs and practices
    • Incorporate feedback from local customers into service offerings
    • Regularly update offerings based on seasonal tourist trends

  • ⛳️ Strategy 3: Enhance marketing and brand awareness

    • Launch social media campaigns targeting Kenyan travellers
    • Partner with local influencers to widen digital reach
    • Participate in local and international travel expos
    • Utilise radio and print media to reach different demographics
    • Highlight local partnerships in marketing communications
    • Develop emotional and engaging storytelling content
    • Create promotional videos showcasing Kenyan attractions
    • Establish a customer referral programme
    • Leverage customer testimonials in marketing materials
    • Conduct surveys to measure brand awareness and adapt strategies
partnershipslocalizationstrategic-plannermarketing-specialistmarketing-teambusiness-development-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
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How to track your Intelligence strategies and tactics

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

Don't fall into the set-and-forget trap. It is important to adopt a weekly check-in process to keep your strategy agile – otherwise this is nothing more than a reporting exercise.

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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