Customer Service
CX Solutions
AI agents, call analytics and connected systems take customers from the first dialogue through to a resolution or a prepared handover.
From a good dialogue to a productive service
CreaLog brings dialogue design, agentic AI, communication channels and backend systems together on one platform. We make sure service processes work as one in production.
AI across the entire service process
AI Self-Service
Handle recurring enquiries directly, capture details and carry defined processes forward.
AI Assist
Transcriptions, translations, detected key terms and summaries get to the point of a conversation faster.
Analytics
Make contact reasons, sentiment, knowledge gaps and recurring CX or UX obstacles visible.
Proactive service
Reach customers early and offer a clarification, a callback or a personal handover straight away.
Multilingual AI customer care solution in production
From enquiry to action
Agentic AI connects dialogue with knowledge, rules and backend functions. That way a service case does not stop at general information.
Understand the enquiry → use the context → trigger the next steps → hand over deliberately
Our platform combines conversational and agentic AI with defined workflows and backend access on an MCP-native architecture. Existing CRM, ERP, corporate, ticketing and specialist systems can be connected in a targeted way.
Customer experience starts with the right channels…
Service happens where customers and staff communicate:
Voice · Webchat · Messaging · Email · SMS/RCS · Web & Apps · Microsoft Teams
Discover channels and transitions for one coherent experience
→ Omnichannel Agents
… and measurable service impact
AI in customer service should do more than automate contacts. What matters is whether enquiries are resolved faster, unnecessary handovers are avoided and service teams are noticeably relieved.
Higher case resolution
More enquiries reach an answer, a defined action or a deliberate handover.
Shorter time to resolution
Automated data capture, context access and backend actions shorten the path to the next sensible step.
Fewer repeat contacts
Clear answers, options and confirmations help to avoid repeat contacts about the same enquiry.
Less manual after-call work
Transcriptions, summaries and automated process steps relieve service teams in preparation and follow-up.
Relevant KPIs
Case resolution rate · Transfer rate · Time to Resolution · First Contact Resolution · Average Handling Time · After-call work time · Customer Effort
Technology-neutral. Use-case specific.
LLMs
OpenAI GPT · Microsoft Azure OpenAI · Google Gemini · Meta Llama · Mistral · Microsoft Phi
Speech recognition and synthesis
Microsoft · Google · Amazon · Speechmatics · Cartesia · ElevenLabs · ReadSpeaker
Dialogue design
VUI · CUI · Multilingual support · Barge-in · Persona and tone
Integration
CRM · ticketing · ERP · knowledge management · contact centre · telephony · specialist systems
From use case to productive AI service
Sharpen the use case
Define the objective, the audience, the outcome and the metrics.
Prepare the knowledge
Select sources, structure content and assure quality.
Connect the systems
Choose the operating model, select the right AI tools, connect backends securely and test the processes.
Develop the services further
Evaluate usage and improve dialogue, knowledge and flows.
One platform for every service moment
Self-service, agent assist, analytics and personal handovers work together when dialogues, AI, contact centre and backends run on one shared basis.
The CreaLog platform connects these building blocks. Our Service Creation turns them into dialogues, rules, tools and workflows that can be adapted and developed further.
Technology-neutral. Integrates into existing systems. Supported through to operation.
Win customers over with AI?
Let's talk about your use case
