Agentic AI.
From Discovery
to Production
in 12 Weeks.
We design, build, and deploy autonomous multi-agent AI systems for enterprise workflows — LLM-agnostic, enterprise-grade, with measurable ROI before you scale.
70% of AI Projects Fail to Scale
Most enterprises run proof-of-concepts that never reach production. The gap between a demo and a deployed, measurable system is where value gets lost — because organizations lack a systematic approach.
No Systematic Approach
Traditional AI projects lack the rapid experimentation frameworks needed to identify high-value use cases before committing.
Constant Human Oversight
Traditional AI requires manual intervention at every step. Agentic systems plan, execute, and adapt autonomously.
No Guardrails
Autonomous agents without safety layers create compliance risk. Enterprises need enterprise-grade security — SSO, audit trails, access governance.
Scarce AI Talent
Building an internal agentic AI team takes years. Most enterprises can't hire fast enough to keep pace with the technology.
The Agent Factory
Process
A repeatable framework that takes you from problem statement to a live agentic system — in weeks, not quarters. Enterprise-grade, with measurable ROI before you scale.
Multi-Agent Systems That Work Autonomously
Each solution is a coordinated system of AI agents — not a single model — handling planning, execution, and adaptation end-to-end.
Lead Nurturing Engine
Sales teams lose high-intent leads due to delayed follow-ups, inconsistent engagement, and lack of personalization.
AI-Powered SDLC
Software and ML development cycles are slow, fragmented, and heavily reliant on manual coordination across teams.
Customer Support Resolution Agent
Traditional chatbots handle only FAQs while complex issues still require manual intervention, leading to delays and high costs.
Deployed Across Every Industry
Proven use cases from live client deployments — each with measurable outcomes.
Accounting & Finance
Smart Expense Receipt Capture & Auto-Accounting
Finance teams manually re-entering receipt details and tax codes, causing reimbursement delays and frequent coding errors.
✓ Faster reimbursements, reduced coding errors, improved VAT/GST reclaim accuracy.
Vendor Master Data De-duplication
Duplicate vendor records and incorrect entries led to increased reconciliation effort at month-end.
✓ Improved vendor data quality, enhanced spend analytics, stronger audit governance.
Customer Retention Program
Regional bank losing customers after fee changes with no visibility into who was at risk or why.
✓ Increased retention, reduced incentive spending, clear guidance for targeted service actions.
Process Automation (KYC & Claims)
Life insurer manually processing KYC, invoice, and claims data — long cycle times and SLA misses during high-volume periods.
✓ Significant reduction in processing time, improved accuracy, and lower operational costs.
Anomaly Detection
Payment platform's critical failures were hidden in noisy dashboards — customers reported issues before internal teams.
✓ Faster root-cause identification, reduced customer impact, improved service reliability.
Retail
Sales Forecasting for QSR
Leading US quick-service chain with under-forecasting issues directly impacting labor and inventory planning.
✓ Improved forecast accuracy by 7%, better labor & inventory planning, enhanced profitability.
Call Center Agent Assist (RAG)
Support agents unable to find real-time product, inventory, and policy info — causing long calls and inconsistent answers.
✓ 20% reduction in handle time, improved first-contact resolution, new agents performing like veterans from day one.
Demand Prediction
National grocery chain experiencing stockouts on promoted items and excess inventory on slow movers, especially around holidays.
✓ Higher product availability, lower inventory holding costs, improved customer satisfaction.
Customer Segmentation
Beauty e-commerce brand using generic campaigns for all customers — low repeat purchases and high unsubscribe rates.
✓ Lower acquisition costs, higher message relevance, improved repeat purchase rates.
Cross-sell Prediction
Checkout add-on recommendations lacked relevance — low attach rates and customer disengagement.
✓ Increased average basket value, higher recommendation relevance, reduced customer fatigue.
Healthcare
AI-Powered Conversational Chatbot
Regional health insurer overwhelmed with routine coverage and claims calls — over 60% of calls were simple, repetitive questions.
✓ 35% call deflection, reduced average handle time, lower operational costs, improved CSAT scores.
Patient Burden Analysis in Clinical Trials
Manual burden assessment from trial protocol documents was time-consuming, inconsistent, and slowed trial design.
✓ Automated and objective burden scoring, reduced manual effort, improved trial design, higher patient participation.
Smart Recordkeeping
Physicians spending hours after-hours finalizing notes and correcting billing codes — productivity loss and revenue leakage.
✓ More time for patient care, fewer claim denials, higher-quality clinical documentation.
Manufacturing
IoT-based Backflow Preventer Health Monitoring
Manual field engineer inspections for backflow preventer health — time-consuming, labor-intensive, error-prone, and costly.
✓ Automated monitoring saving up to USD 8M annually. Early visibility through Power BI dashboards and Power Apps.
Customer Contact Data Management
Warehouse company with redundant contact records causing wrong-person communication failures and increased marketing costs.
✓ Golden records with 95%+ precision, reduced marketing expenses, improved campaign hit rates, stronger data governance.
Measurable Results, Not Just Demos
These are real outcomes from CBS-deployed Automation & Agentic systems — ROI-based delivery, not research papers.
Agents auto-generate knowledge base articles from resolved tickets — dramatically reducing analyst workload.
AI-generated resolution notes and plan summaries accepted by service teams on first pass.
Employees self-serve software requests without IT intervention through autonomous deployment agents.
Self-service resolution for repeat incidents, with 80%+ accuracy on automated responses.
Mean time to resolution cut by over a third through autonomous incident routing and resolution.
AI-generated prep decks for customer calls — pulled from internal sources — accepted without major edits.
From Whiteboard to Working Agent in 12 Weeks.
Our Agent Factory is a repeatable framework that delivers working autonomous systems — with measurable ROI — before you commit to scale. Enterprise-grade. Platform agnostic. Built for production, not demos.
Built for Enterprise. Delivered Fast.
LLM-Agnostic
OpenAI, Llama, Claude, or your existing model — we build on the best stack for your use case, not what we're locked into.
Enterprise Security
SSO, audit trails, access governance, and data residency compliance built in from day one — not retrofitted.
ROI Before You Scale
We use an ROI-based delivery approach. Not every use case needs an agent — we help you find the ones that do.
Ready to Build Your First Agent?
Start with a 2-week discovery sprint. We'll map your highest-value AI use case and deliver a working prototype.
Start the Conversation