We have built this playbook based on successful AI rollouts with our customers. We’re happy to tailor it to your individual needs and discuss your specific rollout plan.
After securing leadership buy-in, the AI owner and team plan the rollout. Before starting, create a rough plan of measures and initiatives to educate users.We recommend preparing these items:
Add your logo, security hints, and custom links to the platform
Set up SSO
Fill the prompt library and assistant library with suitable use cases
Set up a shared channel with your users and the Langdock team
Now you can onboard users to the platform. This moment creates momentum and excitement that you should use to organically adopt the tool and find use cases.Week 1: Kickoff (45-60 min)
Initial meeting to get to know the Langdock team and platform
Q&A and understand next steps
First 1-2 company-specific use cases
Users are added to a shared Slack/Teams channel
Week 3: Deep Dive - Prompt Engineering (45-60 min)
Input from the Langdock team about prompt engineering
1-2 company-specific use cases from users
Q&A and sharing learnings
Week 5: Deep Dive - How to build an assistant (45-60 min)
Input from the Langdock team about assistants
1-2 company-specific use cases from users
Q&A and sharing learnings
Week 7: How to find use cases (45-60 min)
Input from the Langdock team about finding use cases
1-2 company-specific use cases from users
Q&A and sharing learnings
Goal: Get people on board who haven’t found their use case yet
The Langdock team is available for 1:1 sessions for individual questions, ideas, and building use cases together.
The largest leverage for internal usage is building and sharing use cases with your user base. Share in the shared channel, check-ins, meetings, and company events to increase momentum and let users learn from each other.
At this point, you’ll have champions - ideally 1-2 in each department. They’re excited about AI, know how to prompt, and can build use cases. They’ll educate and excite others. Keep momentum by maintaining regular exchange and diving into attractive use cases.
After the first phase, onboard more users and build more use cases. The more AI champions you have, the easier this phase becomes.You will have some examples already, but should also encourage users to find their use cases organically. Below is a framework to do this. You can find more details here.Group Session - Defining Use Cases (45-60 min)
Collect 5 tasks that are repetitive and time-consuming
Prioritize based on impact and feasibility
Get started with 1-2 individual use cases
Group Session - Check-In after 1-2 weeks (45-60 min)
Share learnings
Check on use cases: What worked, what didn’t work, how did users build them?
Everyone finds use cases that would help in daily work. After the session, everyone experiments and tries to build use cases. Check in with users during this phase. After 1-2 weeks, meet again to share learnings.
Over time, users will organically build assistants, share prompts, and use Langdock more. Continue workshops, help users individually, and maintain AI momentum.You can slowly integrate other tools and work on higher-effort tasks:
Search integrations to read information from other tools
Assistant actions to read, update, and create data in other tools
Using the API to access Langdock from other tools
Agents for building highly individualized workflows