Embedded Files
Discover how to build a vision for ChatGPT, assemble the right team, and set metrics for success.
What does success look like with ChatGPT?
What does success look like with ChatGPT?
Improve AI Proficiency
Improve AI Proficiency
Enhance your teams' understanding and comfort with using AI through webinars, dedicated training sessions, use case libraries, and more.
Empower Employees
Empower Employees
Increase productivity, foster innovation, and improve satisfaction across teams by encouraging employees to integrate ChatGPT into daily tasks and workflows.
Transformative Business Use Cases
Transformative Business Use Cases
Key use cases for each department, set success metrics, implement the use cases, and measure the results.
A guide to crafting a strong vision for ChatGPT
A guide to crafting a strong vision for ChatGPT
Leadership plays a pivotal role in shaping the future of your organization’s AI journey. A well-crafted vision for integrating ChatGPT can serve as a North Star, ensuring your team understands the purpose and potential of this powerful tool. Here’s how you can build a vision that resonates across your company.
Connect ChatGPT to your business strategy
Connect ChatGPT to your business strategy
Start by aligning the vision with your organization’s overarching goals. Whether your focus is on efficiency, innovation, or customer experience, your ChatGPT vision should reflect how AI will support these strategic priorities.
Questions to consider:
How can ChatGPT help us achieve our business goals?
What key areas of the business will benefit most from AI?
Empower employees through AI
Empower employees through AI
A successful vision highlights how ChatGPT will enhance, not replace, your workforce. Your team should view AI as a tool that amplifies their capabilities and makes their work more rewarding.
Questions to consider:
How will ChatGPT help our employees be more productive and innovative?
What new skills or roles will AI enable within our team?
Create a culture of learning and adaptation
Create a culture of learning and adaptation
AI adoption requires a learning culture where employees feel supported as they adapt to new tools and processes. Ensure your vision includes a commitment to ongoing training and development.
Questions to consider:
How will we train and support employees in using ChatGPT effectively?
How can we encourage experimentation and continuous learning with AI?
Prioritize responsible and ethical AI use
Prioritize responsible and ethical AI use
Leaders must address the ethical implications of AI. Your vision should make clear that ChatGPT will be implemented in ways that respect privacy, ensure data security, and prioritize responsible AI practices.
Questions to consider:
How will we ensure ChatGPT is used ethically and responsibly?
What safeguards will we put in place to protect privacy and data?
Build your team
Build your team
The most successful deployments involve representatives from key groups, each playing a vital role in applying AI strategically and practically across your organization. These stakeholders help ensure user support, drive AI adoption, and deliver immediate value from ChatGPT.
Executive Sponsor
Executive Sponsor
Big-picture leader, gets resources, rallies the troops
HR and L&D
HR and L&D
Drives cultural change, crafts communications, supports training efforts
Project Lead
Project Lead
Oversees planning, solves problems, monitors progress
Owners and Admin
Owners and Admin
SSO set-up, invites users, provides ongoing support
Champions
Champions
Facilitates change, provides peer training, gathers feedback
When to measure value
When to measure value
We recommend evaluating the impact of ChatGPT throughout its deployment:
Before implementation: Estimate potential benefits to build a strong business case with an 80:20 approach. For example, an RFP GPT could boost productivity by 20-30% and improve win rates by 10-20%.
After implementation: Measure actual outcomes to understand real-world impact. For example, a 35% time reduction and 18% increase in win rates resulted in $0.7M in savings and $2M in new revenue.
Ongoing: Continuously track performance and seek improvement opportunities.
Start with a value hypothesis, then measure actual results to assess the real impact after implementation.
Approach to measuring value
Approach to measuring value
Identify value drivers
Identify value drivers
Goal: Determine metrics to measure efficiency gains, cost savings, or revenue growth that matter most to your stakeholders and align with your strategic goals.
How to do it: Collaborate with AI Champions and department leads to align on objectives for each team.
Questions to ask: “How does this use case support business goals or address challenges? What impact does this use case have on operations?”
Examples:
Automate operations: Lower cost by automating operations, increasing productivity, accelerating development cycles, or reducing rework.
Grow business: Improve products, personalize customer experiences, or reduce time-to-market.
Establish a baseline
Establish a baseline
Goal: Understand baseline KPIs before ChatGPT implementation which can act as a reference point when measuring future uplift.
How to do it: Collect data on existing processes and metrics.
Questions to ask: “What KPIs do you use to measure current performance? What data can act as a baseline?”
Measure improvements
Measure improvements
Goal: Quantify the enhancements driven by ChatGPT Enterprise.
How to do it: Compare new data against the baseline using surveys, analytics, or pilot results.
Examples:
Impact Survey: Ask your team members directly about the benefits they've experienced. "On average, how many hours per week do you save by using ChatGPT?"
Tracking key metrics: Monitor specific performance indicators before and after implementing AI workflows. "After adopting AI, we saw a 25% increase in upsell conversions."
Pilot programs or A/B tests: Test new AI workflows with a small group and compare their results to those who aren't using it. "Employees using the AI tool completed tasks 50% faster than those who didn't."
Best practices
Best practices
Measure impact: Assess AI value at both the organizational and individual use case levels.
Align with strategic goals: Ensure every AI initiative is linked to business objectives and uses metrics that stakeholders care about.
Use 80/20 estimates: Start with rough estimates focused on key impacts to build momentum quickly.
Communicate clearly: Share the value of AI with leadership, being transparent about assumptions and refining estimates as more data becomes available.
Iterate and improve: Treat ROI estimation as a continuous process, making adjustments over time.
Value measurement example
Value measurement example
Scenario
Implementing ChatGPT to assist with completing Requests for Proposal (RFPs), enabling your team to handle more RFPs than before.
Baseline Situation
Missed opportunities: Unable to respond to 100 qualified RFPs each year due to limited time and resources.
Average deal value: Each RFP is worth approximately $500,000.
Total potential revenue missed: $50 million (100 RFPs × $500,000).
With ChatGPT
Increased capacity: Able to respond to 50 additional RFPs (50% of previously missed opportunities).
Expected revenue:
Win rate: Assuming the current success rate of 20%.
New deals won: 50 RFPs × 20% win rate = 10 new deals.
Additional revenue: 10 deals × $500,000 = $5 million.
Summary
By using ChatGPT to handle more RFPs, you could unlock the below value drivers:
Revenue growth: Potentially gain an extra $5 million annually from additional RFP responses.
Resource optimization: Maximize your team's capacity without needing extra staff.
Future potential: Improved response quality could boost your win rate, adding further financial benefits.
Page updated
Report abuse