Get Tability: OKRs that don't suck | Learn more →

2 strategies and tactics for Generative Ai

What is Generative Ai 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 Generative Ai strategy can seem daunting, particularly when you're focused on your daily workload. For this reason, we've compiled a selection of examples to fuel 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 Generative Ai 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.

Generative Ai strategy examples

You will find in the next section many different Generative Ai tactics. We've included action items in our templates to make it as actionable as possible.

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
Implement these strategies

Strategies and tactics for developing a virtual assistant for salespeople

  • ⛳️ Strategy 1: Develop a comprehensive AI framework

    • Identify key components and functionalities needed for the AI model
    • Assess current AI technologies to incorporate generative AI, rule-based systems, and analytical tools
    • Develop scenarios for what-if analysis to anticipate market conditions and other variable factors
    • Create algorithms and systems for predictive analysis based on historical company data
    • Integrate benchmarking components to identify successful sales personas
    • Implement a monitoring system to track performance metrics for each salesperson
    • Collaborate with sales managers to define success metrics for each role
    • Design a system to provide real-time qualitative feedback
    • Develop a call monitoring and qualitative evaluation feature
    • Draft a framework to represent the workflow diagrammatically

  • ⛳️ Strategy 2: Streamline sales onboarding and upskilling

    • Develop a dynamic onboarding process using AI guidance
    • Use AI to automatically generate training materials and assessments for new hires
    • Create a personal development plan for each new hire using AI recommendations
    • Design interactive AI-driven modules for continuous learning and upskilling
    • Incorporate performance benchmarks to identify areas for improvement
    • Facilitate role-specific AI coaching sessions for new hires and existing staff
    • Enable AI-powered simulations to practice sales scenarios
    • Construct an evaluation system to measure learning progress
    • Generate targeted feedback using AI analysis of performance data
    • Implement regular updates to training content based on real-time data

  • ⛳️ Strategy 3: Enhance decision-making processes with AI analytics

    • Utilise AI analytics to assess and predict market conditions
    • Integrate weather and environmental data into AI systems to consider acts of god
    • Enable AI to leverage historical data to inform strategic decisions
    • Use AI to generate comprehensive reports on individual and team performance
    • Create a platform for comparative analysis of sales performance across different timelines
    • Develop an AI feature for generating insights and recommendations from sales trends
    • Include an AI-based decision support system for scenario planning
    • Implement a tool for conducting qualitative assessments of sales interactions
    • Facilitate the AI in conducting real-time SWOT analysis
    • Employ sentiment analysis for sales interactions through AI insights
virtual-assistantai-technologiessales-managerai-developersales-teamai-analytics-team
Implement these strategies

How to track your Generative Ai 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:

Table of contents
Copyright © 2024 Tability