Make AI work for
From intelligence to execution, Commencis AI turns ideas into working systems. We provide systems and products that act, make sense and interact through AI Lab; and help organizations define, prepare, adapt and embed where AI creates value through AI Studio.
Mercury
Agentic workflows that listen and respond tailored to domain specific operations.
Phoebe
Systems that enable interaction across voice, conversational and avatar-based interfaces.
Verity
Systems that turn massive data, documents and user behavior into actionable intelligence.
Mercury Sage
Product lifecycle agent that coordinates and executes from story creation to code reviews.
UserHear
Review intelligence platform that lets businesses take user data-informed decisions.
Compass
Where AI creates value
From AI Pulse and opportunity scans to focused workshops, we identify high-impact opportunities and shape clear, value-driven tracks.
Foundation
Prepare what AI depends on
We assess data, tools and workflows; then define foundations needed to support AI in your context.
Activation
Bring AI into operation
We build, adapt and integrate AI systems embedding them into real operations, teams and processes.
Turning capabilities into action through our core models, architecture and applied practice
The Backbone
Shared foundation where our solutions are built on. It connects models, data, workflows and enterprise systems.
The Infrastructure
Choosing where to host the solutions. Making AI scalable, secure and ready for real environments across cloud, on-prem or hybrid setups.
The Practice
Commencis AI way of working for discovering real value, adapting data and embedding AI into real operations ensuring AI works in the context.
We are
tool
agnostic
Built on the right partnerships
Across AI Lab and AI Studio, we select and combine the right stack for each use case by balancing performance, cost, data, and regulatory constraints.
From cloud to on-prem and hybrid environments, supported by a strong partner ecosystem, we develop production-ready systems without vendor lock-in.
Expertise → Forward
Deployed Approach
Embedded Collaboration
Working side by side with product, design and engineering teams.
AI Native Mindset
AI is part of how we think, build and deliver.
End-to-end Delivery
AI is part of how we think, build and deliver.
Not in theory, but in practice AI Now, in action.
Call Center Optimization
A financial institution needed to reduce IVR complexity and wait times.
- Conversational onboarding instead of IVR
- Intent-based routing
- Real-time self-service
- Context-aware interaction flows
wait
time
handling
time
first-contact
resolution
CSAT
Credit Card Data Extraction & Structuring
A financial services provider needed reliable data extraction. Native SDK's card data extraction was slow.
- OCR + semantic parsing
- Data validation & normalization
- Structured outputs
- Integration into onboarding
error
rate
processing
time
data
accuracy
Commerce Intelligence from Agent & Transaction Data
A commerce platform needed unified behavioral insights. Fragmented data limited insight generation.
- Unified data layer (agent + transaction)
- Behavioral pattern detection
- Real-time insights
- Dynamic dashboards + conversational data access
conversion
optimization
time to
insight
campaign
performance
faster
decisions
Hyper-Personalized Travel Planning Engine
An airline needed to increase personalization and conversion. Generic recommendations resulted in low engagement and conversion.
- Intent-based planning
- Context-aware recommendations
- Dynamic itinerary generation
- Integrated booking flows
conversion
rate
basket
size
engagement
rate
drop-offs
Seamless Outbound Approvals & Off-Hour Handling
A technology service provider needed to automate approvals and after-hours requests.
- Automated outbound approval calls
- Conversational voice interaction
- Smart off-hours routing
- Backend-integrated action flows
approval
time
operational
workload
data
accuracy
uninterrupted
experience
Insurance Claim Automation
An insurance company needed to streamline claim processing. Manual efforts caused delays and inefficiencies.
- Automated intake & document processing
- Intelligent routing
- Workflow orchestration
- AI-assisted decision support
processing
time
operational
cost
error
rate
customer
satisfaction
AI Workplace Assistant
A large holding needed a unified internal assistant. Employees struggled to access policies and insights across systems.
- Teams-integrated AI assistant
- Policy & process access via natural language
- Career path and skill guidance
- Action-triggering capabilities
info access
time
support
requests
self-service
adoption
employee
engagement
E-Commerce Product Intelligence & Smart Search
An e-commerce platform needed better product discovery. Inconsistent data reduced discoverability.
- Automated product enrichment
- AI-based categorization
- Attribute extraction
- Semantic search
search
relevance
conversion
rate
manuel
effort
product
discoverability
AI Opportunity Mapping & Prioritization
An enterprise client needed a clear AI roadmap. AI initiatives were scattered and lacked prioritization.
- Discovery workshops
- Use case identification
- Value vs feasibility mapping
- AI roadmap definition
use cases
identified
prioritization
time
clear execution
roadmap
strong
alignment
Telecom Customer Experience Intelligence
A telecom operator needed proactive issue detection. Customer feedback was siloed and reactive.
- Multi-channel aggregation
- Sentiment & root cause analysis
- Issue clustering
- Proactive alerts
resolution
time
churn
risk
proactivity
rate
customer
satisfaction
AI Hub Insights
AI Hub brings together our latest thinking, experiments, and real-world applications of artificial intelligence from AI Lab and Studio. Explore insights, use cases, and innovations that help organizations understand and adopt AI effectively.
