Banking
Financial Services - Document Automation
High volume of loan application documents requiring manual verification against multiple criteria.
Processing time cut from days to minutes. Accuracy increased to 95%.
View full case studyNLP & Conversational AI
Your information, readable at scale.
NLP & Conversational AI
NLP and Conversational AI for Enterprise
Most enterprise knowledge lives in language-buried in contracts, tickets, notes, recordings, and reports. The information is there. What organisations lack is the ability to read it at the speed and scale their business demands. DTC Infotech builds systems that do that reading, turning unstructured language into structured, actionable inputs-language models trained on your data, tuned to your terminology, and integrated into the workflows where decisions are made.
NLP-powered systems deliver 85 to 90% accuracy on average for understanding and classifying unstructured text. Organisations using AI-enhanced document processing experience three times faster data validation compared to manual methods. (SenseTask, 2025)
What DTC Infotech builds in NLP and conversational AI
Reading documents
Our team develops models that read contracts, reports, clinical records, and compliance filings at scale, extracting what matters and surfacing anomalies a manual review would miss.
Conversational AI
We build conversational AI that understands intent even without precise phrasing. Trained on your context, it handles complex interactions andEscalates to people when needed.
Understanding customer feedback
Process support tickets, reviews, and recordings continuously to give teams a live view of experience patterns before they become problems.
Finding information
Search and question-answering tools that index internal knowledge and provide accurate, sourced answers to natural language questions.
Extracting structure
Identify and extract names, dates, obligations, and risk terms from narrative text, making it searchable and usable in downstream systems.
Voice and audio intelligence
Transcribe, classify, and extract meaning from call center recordings and transcripts at scale, turning unread archives into actionable information.
65% - Time ReductionAverage reduction in document processing time
3x - FCR IncreaseIncrease in first-contact resolution
Where NLP is being deployed
Banking and financial services
Capabilities
Choosing the right model
We work across major LLMs, selecting the one that fits the task's speed, sensitivity, and language requirements.
Training for your domain
We train models on your specific terminology and document formats so output is accurate in your unique context.
Keeping answers current
Systems retrieve information from live data sources so answers stay accurate as policies and products evolve.
Languages beyond English
We support deployment in regional languages relevant to your global operations across multiple markets.
Connecting to existing systems
Model outputs land directly in your customer systems, support platforms, or DMS with no manual handoff.
Deployments
Impact
Healthcare
Healthcare - Clinical Extraction
Physicians spending significant time manually reviewing dense patient histories for consultation prep.
Patient preparation time reduced by 60%. Enhanced diagnostic accuracy.
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Legal
Legal - Contract Intelligence
Large law firm needing to identify risk terms across thousands of historical contracts for a merger.
Discovery phase completed 3x faster than manual review teams.
View full case studyHow we work
The difference between an NLP system that works in a demo and one that works in production.
What next
Most organisations have more language data than they can currently read. We can help identify where that matters most for your teams.
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