Planning your rollout of ChatGPT

Discover how to build a vision for ChatGPT, assemble the right team, and set metrics for success.

What does success look like?

Improve AI Proficiency

Enhance your teams' understanding and comfort with using AI through webinars, dedicated training sessions, use case libraries, and more.

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

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

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

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

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

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

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

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

Big-picture leader, gets resources, rallies the troops

HR and L&D

Drives cultural change, crafts communications, supports training efforts

Project Lead

Oversees planning, solves problems, monitors progress

Owners and Admin

SSO set-up, invites users, provides ongoing support

Champions

Facilitates change, provides peer training, gathers feedback

Example announcement email to users

We’re thrilled to announce that ChatGPT Enterprise is now available at [Company Name]! AI is evolving rapidly, and this is your opportunity to explore how ChatGPT can enhance your daily work—whether it’s streamlining workflows, analyzing data, generating content, or brainstorming new ideas.

Why This Matters
Protecting [Company Name]’s data is our top priority. With ChatGPT Enterprise, none of our data is used to train the model, and enterprise-level security measures make it safer to use than personal accounts.

What’s Included in ChatGPT Enterprise

The most advanced language and reasoning models, Deep Research, Data Analysis, Search, & Advanced Voice Mode: Work with the most advanced AI models to quickly gather insights, get real-time information from the web, and even interact via voice.
Canvas & Custom GPTs: Collaborate with ChatGPT for writing, coding, and brainstorming. You can also create tailored ChatGPT experiences for specific needs.
Image Generation: Generate images from simple descriptions for presentations, projects, and more—no design skills required!

How to Get Started

Log in at [Login instructions] using [preferred login method]
Attend webinar series to learn best practices and get the most out of ChatGPT Enterprise.
- 1. - 1. ChatGPT 101: A Guide to Your AI Super Assistant (Live Session | Recording)
      2. ChatGPT 102: Applying AI to do Your Best Work (Live Session | Recording)
Review the ChatGPT Quickstart Guide for tips and best practices
Use the ChatGPT Use Cases for Work GPT to brainstorm use cases

[Additional information about where to go for resources or support]

Let’s make the most of this exciting opportunity together!

Best,

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

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

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

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

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.

Need Help? Contact Support

Page updated

Report abuse