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10 strategies and tactics for Ai Technology

What is Ai Technology 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.

Identifying the optimal Ai Technology strategy can be challenging, especially when everyday tasks consume your time. To help you, we've assembled a list of examples to ignite your creativity.

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

How to write your own Ai Technology 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.

Ai Technology strategy examples

We've added many examples of Ai Technology tactics, including a series of action items. We hope that this will make these examples as practical and useful as possible.

Strategies and tactics for implementing Legal Contract Review Service with AI and Human Oversight

  • ⛳️ Strategy 1: Develop Core AI Technology

    • Research and identify AI models suitable for legal contract analysis
    • Collaborate with AI specialists to customise the chosen model for contract review
    • Gather a diverse dataset of contracts to train the AI system
    • Implement natural language processing technology for understanding legal terminology
    • Integrate machine learning algorithms to improve accuracy over time
    • Test the AI system with a set of sample contracts for initial validation
    • Refine the AI based on feedback and error rates from test runs
    • Ensure AI compliance with relevant legal standards and regulations
    • Establish protocols for data security and privacy
    • Set up continuous monitoring to enhance AI learning and performance

  • ⛳️ Strategy 2: Build Human Expertise Layer

    • Recruit qualified legal professionals to support AI reviews
    • Develop a training programme for human reviewers on AI system use
    • Define criteria for when human intervention is necessary
    • Establish a feedback loop between AI outputs and human insights
    • Design a workflow that delineates clear roles between AI and humans
    • Implement a quality assurance process for human validation
    • Create a system for managing and tracking human interventions
    • Gather continuous feedback from human experts on AI improvements
    • Ensure ongoing legal education for human reviewers
    • Set performance metrics for the human review process

  • ⛳️ Strategy 3: Launch and Market the Service

    • Develop a brand identity that communicates AI and human expertise symbiosis
    • Create a marketing strategy targeting legal firms and in-house legal teams
    • Develop educational content showcasing the benefits of AI in legal review
    • Establish partnerships with law firms for pilot program implementations
    • Leverage case studies and testimonials to build credibility
    • Setup an online platform for service accessibility and customer engagement
    • Organise webinars and workshops to demonstrate service capabilities
    • Implement a pricing model that reflects the added value of human oversight
    • Utilise social media and legal forums to promote the service
    • Gather customer feedback for service improvements and new feature additions
ai-technologyhuman-oversightlegal-professionalai-specialistlegal-support-teammarketing-team
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Strategies and tactics for integrating AI into the workforce

  • ⛳️ Strategy 1: Evaluate current processes for AI integration

    • Identify key areas with potential for AI automation
    • Conduct a needs assessment with stakeholders and team leaders
    • Analyse the current technology stack for compatibility
    • Assess workforce's AI literacy and provide foundational training
    • Determine budget available for AI technology adoption
    • Explore case studies of successful AI integration in similar industries
    • Map out existing workflows for understanding impact of AI insertion
    • Create a list of potential AI tools relevant to identified needs
    • Develop an implementation timeline and milestones
    • Establish criteria for measuring AI implementation success

  • ⛳️ Strategy 2: Deploy AI solutions in phases

    • Select pilot teams or projects to trial AI tools
    • Configure and customise AI tools to meet specific requirements
    • Provide comprehensive training sessions for pilot team users
    • Roll out AI tools on a limited scale and monitor usage
    • Collect feedback from pilot team regarding AI effectiveness
    • Evaluate tools against pre-established success criteria
    • Adjust AI configurations based on employee input and data
    • Gradually expand AI tools across more departments
    • Continuously gather and analyse data on AI tool performance
    • Conduct regular review meetings with stakeholders to assess progress

  • ⛳️ Strategy 3: Create a supportive AI adoption culture

    • Facilitate workshops to educate employees on the benefits of AI
    • Communicate clear objectives and goals for AI use within the company
    • Highlight success stories and case studies from initial rollouts
    • Establish open channels for employees to voice concerns and suggestions
    • Cultivate support from leadership through visible advocacy of AI
    • Develop an AI champions programme to encourage peer-to-peer training
    • Reward innovation and efficiency improvements stemming from AI use
    • Engage employees in AI tool development and customisation
    • Conduct surveys to measure employee satisfaction with AI tools
    • Regularly update the workforce on AI-related announcements and developments
ai-integrationworkforce-productivityai-strategisttechnology-managerit-departmenthuman-resources
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Strategies and tactics for improving customer experience through exceptional support

  • ⛳️ Strategy 1: Implement AI-powered support chatbots

    • Research and select an appropriate AI chatbot platform
    • Integrate AI chatbot with the existing customer support system
    • Train the AI chatbot using historical support data
    • Enable AI chatbot to handle common queries independently
    • Perform regular updates and retrain chatbot as needed
    • Monitor chatbot performance and customer satisfaction metrics
    • Create a feedback loop for continuous improvement of the chatbot
    • Collaborate with IT to ensure seamless AI chatbot operations
    • Educate customers about the benefits of using the AI chatbot
    • Develop a protocol for escalating complex issues to human agents

  • ⛳️ Strategy 2: Enhance support team capabilities with AI analytics

    • Implement AI analytics tools to gather insights from support interactions
    • Train support team on analysing and interpreting AI-driven data
    • Use AI insights to identify common issues and proactively address them
    • Provide real-time AI-generated suggestions to support agents during interactions
    • Develop personalised training programs for agents based on AI findings
    • Integrate AI analytics with the CRM system for holistic customer view
    • Set KPIs based on AI findings to track and improve support performance
    • Organise regular workshops for support team on leveraging AI data
    • Foster interdepartmental collaboration to utilise AI insights organisation-wide
    • Evaluate the impact of AI analytics on customer satisfaction consistently

  • ⛳️ Strategy 3: Automate repetitive support tasks with AI

    • Identify repetitive tasks in the support process that can be automated
    • Select AI technologies suitable for automating these tasks
    • Develop automated workflows to handle identified tasks
    • Integrate AI automation tools with current support infrastructure
    • Establish a monitoring system to ensure automation is functioning correctly
    • Provide training and resources for support staff to understand AI roles
    • Continuously assess and improve the AI automation processes
    • Collect feedback from support staff on AI automation impact
    • Keep an open line with vendors for updates and tech support
    • Document changes and new processes for a seamless transition
ai-integrationcustomer-satisfactiontechnical-support-agentai-specialistit-departmentcustomer-support-team
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Strategies and tactics for positioning AI projects on a two-axis strategy map

  • ⛳️ Strategy 1: Prioritise high influence and easy acquisition projects

    • Identify AI projects with high corporate influence and technology that is easy to acquire
    • Allocate resources and budget towards these projects for quick wins
    • Establish a timeline for rapid implementation and deployment
    • Communicate the strategic importance of these projects within the organisation
    • Build a cross-functional team to support fast execution
    • Develop measurable KPIs to track project success and influence
    • Create a feedback loop for continuous improvement
    • Document successes for internal case studies
    • Benchmark project outcomes with similar industry projects
    • Ensure compliance with corporate policies during project execution

  • ⛳️ Strategy 2: Enhance capabilities for high influence and difficult acquisition projects

    • Conduct thorough feasibility studies to understand technology gaps
    • Seek partnerships or alliances with technology providers to ease acquisition
    • Invest in employee training to build internal capabilities
    • Develop a long-term roadmap for technology integration
    • Secure executive sponsorship to ensure project alignment with corporate strategy
    • Break down projects into phases for manageable implementation
    • Regularly assess and mitigate risks associated with technology difficulties
    • Identify and leverage internal champions to drive progress
    • Utilise pilot projects as stepping stones for full-scale deployment
    • Set clear milestones and evaluation criteria to measure progress

  • ⛳️ Strategy 3: Redirect resources for low influence projects

    • Identify low influence projects and assess their strategic value
    • Engage with stakeholders to reassess project alignment with corporate goals
    • Evaluate whether projects can be repositioned to increase their influence
    • Consider scaling down or halting projects that do not add value
    • Redirect resources towards higher influence or strategically critical initiatives
    • Leverage learnings from these projects to inform future project selection
    • Ensure there is clear communication to stakeholders about strategic decisions
    • Explore potential for salvageable components or innovations within projects
    • Create a portfolio review process to avoid similar low impact projects
    • Document reasoning and outcomes for organisational learning
ai-projectsstrategic-prioritizationproject-managertechnology-evaluatorcross-functional-teamcorporate-strategy-team
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Strategies and tactics for designing an AI corporate implementation strategy

  • ⛳️ Strategy 1: Conduct an AI readiness assessment

    • Evaluate each business's current technology infrastructure
    • Identify data availability and quality for AI integration
    • Assess each business's workforce AI literacy levels
    • Determine specific AI needs and challenges for each business
    • Develop a readiness scoring system for prioritisation
    • Collect feedback from key stakeholders within each business
    • Analyse industry-specific AI adoption trends
    • Prepare a report on findings and recommendations
    • Presentation of assessment results to portfolio management
    • Decide which businesses to prioritise for AI implementation

  • ⛳️ Strategy 2: Develop tailored AI training programmes

    • Identify key AI concepts relevant to each business sector
    • Create a curriculum that is scalable and adaptable for different businesses
    • Schedule and organise interactive workshops and webinars
    • Develop case studies showcasing successful AI implementations
    • Recruit industry experts to lead training sessions
    • Incorporate hands-on training for practical understanding
    • Prepare training materials and resources for continuous learning
    • Set up feedback mechanisms to assess training effectiveness
    • Facilitate peer-learning groups for post-training support
    • Integrate AI training into regular professional development programs

  • ⛳️ Strategy 3: Implement AI pilot projects

    • Select pilot business partners willing to engage in AI trials
    • Identify specific processes or areas for AI enhancement in pilot businesses
    • Collaborate with AI technology vendors for turnkey solutions
    • Establish clear objectives and KPIs for each pilot project
    • Set up data collection and analysis mechanisms for pilot evaluation
    • Monitor pilot progress through regular check-ins and reports
    • Adjust implementations based on insights and feedback
    • Capture learnings and case studies from each pilot
    • Develop scaling strategies for successful pilot initiatives
    • Report pilot outcomes to stakeholders, recommending further rollouts
ai-implementationreadiness-assessmentstrategy-managerai-specialisttechnology-teamtraining-team
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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 designing an AI strategy for a Kenyan bank

  • ⛳️ Strategy 1: Assess current capabilities and identify opportunities

    • Conduct a technology audit to evaluate existing AI and data analytics tools
    • Engage with internal stakeholders to understand their needs and expectations regarding AI
    • Analyze current customer data to identify patterns and areas for improving customer service
    • Benchmark against AI practices of leading banks locally and internationally
    • Identify key areas for AI implementation such as fraud detection, customer service automation, and risk management
    • Establish a cross-functional AI committee to oversee strategy development
    • Conduct a skills gap analysis to determine AI training needs within the organisation
    • Engage with industry experts to gain insight into AI trends and opportunities
    • Assess compliance and regulatory requirements related to AI adoption in the banking sector
    • Develop a report summarising key findings and recommendations for AI opportunities

  • ⛳️ Strategy 2: Develop and implement AI initiatives

    • Prioritise AI projects based on impact potential and alignment with business goals
    • Select appropriate AI technologies and service providers through a request for proposal process
    • Develop a pilot program for one selected AI initiative to test feasibility and benefits
    • Set up project management protocols to oversee the implementation of AI initiatives
    • Define clear success metrics and KPIs to measure the impact of AI projects
    • Integrate AI solutions with existing banking infrastructure and systems
    • Conduct employee training programs to enhance AI literacy and skills
    • Launch a customer awareness campaign about the new AI-driven services
    • Implement feedback mechanisms to gather insights from customers and employees
    • Review and refine the AI initiatives based on feedback and performance data

  • ⛳️ Strategy 3: Establish a sustainable AI culture

    • Create a vision statement that defines the bank's AI aspirations and goals
    • Incorporate AI readiness into the strategic goals of all departments
    • Define governance frameworks for AI to ensure ethical and transparent use
    • Establish a continuous learning platform for staff to develop AI competencies
    • Promote open collaboration between AI specialists and banking teams
    • Regularly update the AI strategy based on technological advancements and feedback
    • Engage actively with regulatory bodies to ensure compliant AI practices
    • Foster partnerships with universities and research institutions to access AI talent
    • Implement recognition and incentive programs for innovative AI contributions
    • Communicate successes and progress consistently to inspire an AI-focused culture
ai-strategycustomer-experienceai-committee-memberproject-managertechnology-teamcustomer-service-team
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Strategies and tactics for implementing AI strategy for educational advancements

  • ⛳️ Strategy 1: Launch AI-enabled teaching and learning tools

    • Conduct a needs assessment to identify key areas for AI integration in teaching and learning
    • Collaborate with educators to design AI tools that align with curriculum standards
    • Develop AI algorithms that personalise learning experiences for students
    • Test AI prototypes in a controlled environment with feedback from teachers and students
    • Integrate Natural Language Processing for improved student-teacher interaction
    • Develop a user-friendly interface that is accessible for both teachers and students
    • Implement real-time data analytics to monitor student progress and engagement
    • Ensure compliance with data privacy laws to protect student information
    • Train teachers on how to effectively utilise AI tools in their classrooms
    • Launch AI tools in phases, starting with a pilot programme in select schools

  • ⛳️ Strategy 2: Introduce AI-enabled operational tools

    • Identify and prioritise operational processes that could benefit from AI automation
    • Develop AI-powered analytics tools for efficient data management and decision support
    • Test AI tools to ensure they enhance workflow and productivity
    • Deploy AI-driven chatbots to handle routine inquiries from internal stakeholders
    • Utilise machine learning to optimise resource allocation and scheduling
    • Create automated reporting tools to track key performance indicators
    • Ensure AI systems integrate seamlessly with existing IT infrastructure
    • Regularly update AI tools to adapt to changing operational needs
    • Conduct training sessions for staff on using AI tools for operational tasks
    • Evaluate the impact of AI systems on operational efficiency and adjust strategy as needed

  • ⛳️ Strategy 3: Design, test, develop, and maintain AI capabilities

    • Assemble a cross-functional team to oversee AI development and integration
    • Conduct research to stay updated on AI trends and best practices in education
    • Create a roadmap for AI capability development with clear timelines and deliverables
    • Utilise agile development methodologies to iteratively build and refine AI solutions
    • Implement rigorous testing protocols to validate AI performance and accuracy
    • Establish a maintenance plan to monitor AI systems and address issues promptly
    • Solicit feedback from end-users to continuously improve AI tools
    • Invest in ongoing training for staff on the latest AI technologies and methodologies
    • Maintain a robust security framework to protect AI systems from potential threats
    • Develop partnerships with AI experts and educational institutions for continuous innovation
ai-integrationeducational-technologyeducatorai-developercross-functional-development-teamresearch-and-development-team
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Strategies and tactics for assessing the impact of generative AI on employees

  • ⛳️ Strategy 1: Conduct employee surveys

    • Develop a survey with questions focused on AI's impact on job roles and responsibilities
    • Distribute the survey to all employees across departments
    • Set a deadline for survey completion
    • Offer an incentive for completing the survey to increase participation
    • Analyse the survey results to identify key themes and concerns
    • Schedule follow-up interviews with employees who expressed significant concerns
    • Create a report summarising the survey findings
    • Share survey insights with leadership and key stakeholders
    • Develop an action plan to address concerns raised
    • Regularly repeat the survey to track changes over time

  • ⛳️ Strategy 2: Monitor productivity metrics

    • Identify key performance indicators (KPIs) relevant to employee productivity
    • Establish a baseline for current productivity levels without AI integration
    • Implement generative AI tools in selected departments
    • Monitor changes in productivity metrics post-AI implementation
    • Compare the productivity data with baseline measurements
    • Evaluate whether any productivity changes are statistically significant
    • Conduct qualitative assessments with employees to understand productivity changes
    • Adjust AI tools or provide additional training as necessary
    • Create a report detailing the impact of AI on productivity
    • Use the insights to make informed decisions on AI expansion

  • ⛳️ Strategy 3: Evaluate employee skill development

    • Identify roles most affected by generative AI integration
    • Conduct a skills gap analysis within these roles
    • Develop a training programme to upskill affected employees
    • Implement mandatory training sessions for relevant staff
    • Assess the effectiveness of training programmes through feedback and assessments
    • Track changes in employee competencies over time
    • Identify new roles or responsibilities emerging from AI integration
    • Provide career development opportunities aligned with new AI-enhanced roles
    • Gather ongoing feedback from employees about their professional development needs
    • Regularly review and refine training programmes based on feedback and changing needs
generative-aiemployee-productivityemployeeleadershiphuman-resourcestechnology-integration
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Strategies and tactics for achieving market leadership as a super app

  • ⛳️ Strategy 1: Expand service offerings

    • Conduct market research to identify service gaps and customer needs
    • Develop partnerships with local businesses to integrate a wider range of services
    • Launch new services in a phased manner to test and refine offerings
    • Invest in technology to streamline service integration within the app
    • Create bundled service packages to encourage cross-service usage
    • Implement customer feedback loops to continuously improve service quality
    • Offer exclusive services that are not available on other apps
    • Monitor competitors to identify and react to new service trends
    • Set up a dedicated team to continuously explore new service opportunities
    • Use analytics to understand service usage patterns and optimise offerings

  • ⛳️ Strategy 2: Enhance user experience

    • Conduct user surveys and interviews to identify user pain points
    • Redesign the app's user interface for better navigation and accessibility
    • Introduce personalised recommendations based on user preferences and behaviour
    • Implement a robust customer support system within the app
    • Ensure the app's performance is optimised for speed and reliability
    • Regularly update the app based on user feedback and technological advancements
    • Include interactive features to engage and retain users
    • Pilot new features with a small user group before wider release
    • Simplify onboarding processes for new users
    • Ensure app security measures are up-to-date to protect user data

  • ⛳️ Strategy 3: Boost brand awareness

    • Launch a targeted marketing campaign to promote the app's unique features
    • Engage in partnerships and collaborations with influencers and brands
    • Utilise social media platforms to reach a broader audience
    • Host events and webinars to showcase the app's capabilities and benefits
    • Implement a referral program to encourage word-of-mouth promotion
    • Create high-quality content that demonstrates the app's value proposition
    • Leverage search engine marketing to increase app visibility
    • Attend industry conferences and expos to network and gain exposure
    • Use analytics to measure and optimise marketing efforts
    • Allocate resources for ongoing public relations activities
market-leadershipsuper-appuser-experience-designermarketing-strategistresearch-and-developmentcustomer-support
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How to track your Ai Technology strategies and tactics

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

Setting good strategies is only the first challenge. The hard part is to avoid distractions and make sure that you commit to the plan. A simple weekly ritual will greatly increase the chances of success.

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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