Clients need help after AI LLMs are enabled
Clients may have AI access without a clear plan for using it. Their teams still need useful examples, prompting support and someone to help them improve proficiency. MSPs, VARs, and partners can build an ongoing service around these needs.
Connect your service with the human side of AI
Combine your knowledge of the client’s environment with two defined applications: HermanAMP for personalized AI conversations and HermanEngage for engagement preparation.
Choose the client use case
Identify the team and task. Determine whether they need everyday AI guidance, engagement preparation or both.
Set up the two applications
Support HermanAMP MCP setup in compatible client AI applications, and arrange HermanEngage access for the users who need it.
Develop the service
Agree onboarding, support and review responsibilities. Use client feedback and sample outputs to refine the service.
Create a service clients can put to use
Make employee adoption and practical outcomes part of the client conversation.
A broader client conversation
Discuss the work employees want to improve alongside the AI tools they use.
Relevant enablement
Connect guidance and practice to the needs of the client’s team.
A repeatable starting process
Use a defined discovery, pilot and review approach that can be adapted for each client.
Clear service boundaries
Agree who handles provisioning, employee support, product issues and ongoing review.
Room for focused expansion
Identify additional teams or workflows after the first use case has been evaluated.
Evidence for client reviews
Use agreed work samples, feedback and service observations to guide the next recommendation.
Shape the partnership around a client pilot
Start with one client and a defined service scope before committing to a wider rollout.
1.
Agree the partner model
Confirm the commercial terms for HermanAMP and HermanEngage and who handles onboarding, account setup and support.
2.
Select the first client use case
Choose the employee group, approved AI host or engagement task, and a clear review owner.
3.
Deliver the agreed pilot
Help users connect HermanAMP through MCP and practice useful tasks. Introduce HermanEngage for audience research and reviewed outreach preparation.
4.
Review and refine the offer
Assess feedback, support effort and output quality, then decide how to extend the service.
Two products for practical AI adoption
HermanAMP brings personalized guidance to compatible AI conversations through its MCP connector. HermanEngage applies personalized communication to audience research and outreach preparation.
HermanAMP
Help client employees use personalized guidance in compatible AI applications through HermanAMP’s MCP connector, supported by clear setup and prompting practices.
HermanEngage
Help client engagement teams find audiences, prepare contact and account insights, and create tailored outreach materials for review and download.
Start with client needs you already understand
These service ideas are starting points for an agreed partnership scope, not included packages or guaranteed outcomes.
First AI rollout
Help a client team choose an initial task and establish practical prompting and review habits.
MCP connection onboarding
Help employees complete HermanAMP prerequisites and authorize its MCP connector in compatible, approved AI applications.
Prompt coaching
Help employees supply context and request the format they need for everyday tasks.
Team practice sessions
Work through approved examples and discuss what makes an AI response useful.
Engagement workflow setup
Help a client team use HermanEngage to choose an audience, prepare a brief and review its first reports and outreach drafts.
Ongoing adoption reviews
Review user feedback, support needs and example outputs to agree the next service step.
