Data & AI Strategy
From Models to Momentum: Enterprise AI, Built for Impact
Strategy, GenAI applications, agentic workflows, and production-grade model deployment, engineered to move enterprises from AI experimentation to measurable business outcomes.
Most enterprises are no longer asking whether to invest in AI, they're asking how to operationalize it. Pilots stall in proof-of-concept purgatory. Models work in notebooks but fail in production. GenAI prototypes excite leadership but never make it past compliance. Techknomatic helps enterprises bridge that gap with end-to-end AI and data strategy services that take ideas from discovery to deployment.
Our practice spans AI strategy and use-case identification, custom LLM applications and chatbots, agentic AI workflows, document AI, conversational BI, and production model deployment with full MLOps. Built on a multi-model foundation, Claude, OpenAI, Mistral, Gemini, and open-source, and tightly coupled with our data engineering capability, we deliver enterprise-grade AI that is secure, governed, and measurably impactful from day one.
What We Offer
Custom Chatbots & LLM Assistants
Intelligent conversational AI for customer service, HR, helpdesk, and internal knowledge management.
Agentic AI Workflows
Multi-step automation that understands context, makes decisions, and executes complex business processes.
Document AI & NLP
Extract insights from contracts, claims, reports, and unstructured documents with LLM-powered processing.
Conversational BI
Natural-language analytics that lets anyone ask questions and get answers from their data, instantly.
GenAI for Auto-Summaries
Automated generation of summaries, reports, and emails from data, saving hours of manual work.
AI Strategy & Model Deployment
End-to-end AI consulting, from use-case identification to production deployment and monitoring.
Tools and Technology
A cutting-edge tech stack for the AI era, optimized for performance, scalability, and trust.
Our Approach
A proven 5-step delivery framework, from use case to production-grade, continuously improving AI.
Discover
Identify high-impact use cases, assess data readiness, and define success metrics and guardrails.
Design
Prompt engineering, model selection, and responsible-AI architecture design, including fallback logic.
Build & Fine-Tune
RAG implementation, domain adaptation, and performance optimisation with evaluation harnesses.
Deploy
API integration, safety logging, security hardening, and monitoring setup in your cloud environment.
Improve
Hallucination reduction, feedback loops, continuous evaluation, and model refresh cycles.
Use Cases
Four high-impact AI programs we deliver for enterprises, across document intelligence, data migration, autonomous operations, and customer experience.
Intelligent Document Processing & Contract Intelligence
Automate extraction, review, and analysis of high-volume enterprise documents.
Deploy AI-powered document processing pipelines that extract, classify, validate, and summarize structured and unstructured documents, contracts, invoices, clinical records, regulatory filings. Use LLMs with domain-specific fine-tuning to flag risks, compare clause variations, and generate review summaries, reducing manual review effort by up to 70%.
Industries
Legal · BFSI · Insurance · Healthcare · Procurement
Impact
70% reduction in manual review · Faster contract turnaround · Improved risk flagging
Intelligent Data Migration & AI-Assisted Schema Transformation
Accelerate complex data migrations with AI that maps, transforms, and validates at scale.
Deploy AI-assisted migration pipelines that automate schema mapping, data type reconciliation, transformation rule generation, and post-migration validation between heterogeneous sources, legacy warehouses, ERPs, SaaS platforms, and cloud databases. LLM-powered mapping assistants reduce manual effort, flag conflicts, and auto-generate reconciliation reports to ensure zero data loss.
Industries
BFSI · Retail · Manufacturing · Healthcare · Any Enterprise Migration Program
Impact
Faster migration timelines · Reduced manual mapping effort
Agentic AI for IT Operations & Incident Resolution (AIOps)
Autonomous agents that detect, triage, investigate, and resolve IT incidents, end to end, without human bottlenecks.
Deploy multi-agent AIOps systems that continuously monitor infrastructure telemetry, application logs, and ITSM queues, automatically classifying incidents by severity, correlating root causes across distributed systems, executing predefined runbooks, and generating plain-language resolution summaries for on-call engineers.
Tech Stack
LangChain Agents · AutoGen · ServiceNow · Datadog · Splunk · Azure Monitor · PagerDuty
Industries
FinTech · Telecom · SaaS Platforms · E-Commerce · Retail · Banking
Impact
40–60% reduction in MTTR · Autonomous runbook execution
Retail & E-Commerce AI, Recommendations & Sentiment Intelligence
Personalize customer experiences and optimize retail operations with AI.
Deploy AI-powered product recommendation engines, returns-reason classifiers, and review sentiment analysis pipelines that integrate with e-commerce and CRM platforms. Use LLM-driven customer intent modeling and behavioral signal processing to improve conversion rates and surface actionable insights.
Industries
Retail · E-Commerce · D2C · FMCG · Marketplace Platforms
Impact
Improved conversion · Reduced returns cost · Richer customer insights