Business-critical customer communication
AI in customer communication. Integrated, not isolated.
Legacy template libraries, time-consuming checks and manual comparisons tie up time in business teams and IT. AI in customer communication can provide targeted support within customer communication management (CCM) and reduce that effort.
The real value comes when AI is embedded in your customer communication processes, with access to the relevant templates, data and logic.
Software development in the DACH region
ISO 27001 certified
Cloud, private cloud & on-premises
Flexible choice of AI models
AI use cases in CCM
Where AI makes a difference
Analyze template libraries
Template libraries that have grown over many years become easier to structure. AI can group similar content, surface likely duplicates and show how templates, variants and resources are connected.
Compare changes
Differences between versions, content or rules are easier to pinpoint. AI can put changes side by side and prepare them for review by your business experts.
Support quality checks
Recurring checks before changes or releases create a lot of manual work. AI can support defined review steps, flag anomalies and prepare results for focused review.
Prepare migrations
In a migration, templates, data and logic must be mapped to the target system. AI can compare existing logic and suggest possible mappings.
Decisions stay with the responsible teams.
Integrated AI
AI as part of the process.
Not another tool.
In the case of separate AI applications, additional transfers occur: data and templates must be provided and the results must be transferred back into the workflow.
neeyo integrates AI as an assistant directly into existing CCM processes. The assistant takes into account the professional context and can take on related work steps, such as finding resources, customizing templates, and documenting changes, taking into account existing permissions.
The relevant teams retain control: they review results, approve changes, and continue working within the same process.
Security & governance
Use AI. Stay in control.
Business-critical customer communication requires clear responsibilities, controlled access and traceable changes. The same applies when you use AI.
Data & access
Roles and permissions define which data and resources AI can access in each context..
Review & approval
The responsible teams review results, correct them where needed and approve changes in a controlled way.
Traceability
Changes, versions and approvals remain documented and can be audited at any time.
Models & deployment
Models and providers can be connected to suit each use case. Depending on your requirements, the neeyo Suite runs in the cloud, in a private cloud or on-premises.
Anonymized project example
New platform. Old dependencies.
An insurance company modernized its CCM platform after 15 years. The template library grew over three generations, dependencies were hardly known. Three professionals manually reviewed layouts before every release in Excel.
The case shows where effort is created in growing CCM landscapes: in the absence of transparency, migration, and quality assurance.
1,800+ templates
grown over three generations.
About 30 %
of templates effectively unused after the audit
62% of project costs
spent on migration and quality assurance
AI with neeyo
From use case to process.
At neeyo, AI starts with your specific customer communication task. Together, we identify where effort occurs today and how AI can be built into your existing process in a meaningful way.
1.
Understanding the task
Where does effort occur today? Which task should AI support?
2.
Clarify the context
Which templates, data, logic and systems are involved? Which access rights and constraints need to be considered?
3.
Fit AI into the workflow
Which steps can AI support? Where do your teams review and decide? How are the results processed afterwards?
AI is part of our product development. We combine many years of CCM expertise with software development in the DACH region. As a result, our AI features are shaped by the demands of business-critical customer communication, with a clear view of processes, systems and business context.
Whitepaper
Go deeper on AI in customer communication.
Which tasks are suited to AI? How does accountability stay within the process? And what is needed for integration, security and governance?
The whitepaper explores the key questions about using AI in customer communication management, with practical examples and concrete guidance.