Built with enterprise-grade technology
Custom AI Agent Development
Run a Faster, Leaner, More Profitable Business with AI Agents
Stop trading time for revenue. AI agents automate your most repetitive, error-prone workflows like invoice processing, scheduling, data entry, support tickets, so your team focuses on strategy, customers, and growth.
Trusted by startups and Fortune 500 enterprises
How we build & deploy AI Agents?
Built for production, validated with your data, scaled with guardrails
01
DiscoverMap the opportunity, define success
Map the cost of your current process. Identify where agents create measurable ROI. Define success criteria before writing a line of code.
ROI Analysis
Process Mapping
Current State
Manual & Time-Intensive
Opportunity
High Automation Potential
Success Criteria
Accuracy • Speed • Integration
02
PrepareBuild context-aware infrastructure
Connect agents to your company data. Break down silos between systems. Design memory layers so agents remember past decisions, learn from outcomes, and maintain context across conversations.
Context Infrastructure
Data Sources & Memory
Systems Connected
Memory Layer Active
Context Pipeline Built
03
ValidateProve it works with real data
3–4 weeks proof of concept with your actual data and systems. We measure against the criteria we set in discovery. Hit the benchmarks or stop here—no sunk costs.
Proof of Concept
Testing Phase
Accuracy Test✓ VALIDATED
Exceeds benchmark threshold
Integration✓ PASS
All systems operational
Performance✓ APPROVED
Meets speed requirements
04
RefineGet early feedback and design for users
Your team tests the agent in real workflows. We collect feedback on accuracy, UX, and edge cases. Refine prompts, improve handoffs, and optimize interfaces before full deployment.
User Testing
Early adopters
Team Feedback
"Intuitive and fast"
Refinements Made
Edge casesUX polishPrompts
Production Ready
05
DeployGo live with guardrails built in
Monitor continuously. Accuracy alerts, drift detection, fallback protocols. Retraining and maintenance included—the day-after-go-live is part of what you sign up for.
Production Monitoring
Always-on oversight
Accuracy Monitoring
Within threshold
Drift Detection
Active
Fallback Protocol
Enabled
Maintenance Status
Scheduled & continuous
Built and Delivered
Production agents deployed for enterprises
Case Study
Margin Optimization Agent
How we helped a QSR chain catch revenue problems across 100+ branches before they became losses.
Faster analysisLive in 2 weeksSame-day fixesDaily alerts
How it works
Analyzes full funnel: impressions → clicks → carts → orders → revenue
Identifies exact problem: visibility, conversion, ops, or pricing
Sends daily branch alerts with corrective actions
Case Study
Multilingual Voice Agent
How we reduced training time for a restaurant chain with an AI assistant in 7+ Indian languages.
7+ languagesFaster onboarding24/7 availabilityLive in 3 weeks
How it works
Voice + chat in Hindi, Tamil, Telugu, Kannada, Bengali, Marathi, English
Instant answers from menus, SOPs, recipes, training guides
Eliminates repetitive manager questions during onboarding
Case Study
Multi-Agent Recruitment System
How we automated 75% of resume screening, freeing HR for strategic work while improving candidate quality.
75% time savedZero candidates missedLive in 3 weeks
How it works
Resume extraction → Social validation → GitHub analysis → Scoring
HR focuses on pre-scored top candidates only
Replicates thorough recruiter evaluation at scale
Our unfair advantage
Why teams that ship with us don't go back
Live in Days
Proof of concept to production deployment. See results before your next board meeting.
Built for Your Business
Integrate with existing systems and workflows. No rip-and-replace technology projects.
Measure the Impact
Every agent tracks productivity gains. Monitor time saved, throughput improvements, and capacity freed for high-value work.
It's like adding a hiring coordinator. Manual screening, social validation and interview scheduling which consumed 8+ hours weekly. The multi-agent system cut that by 75%. Our team now reviews only the top 15% and focuses on strategic hiring and initiatives, not admin work.
— Ananya
AI agents built for your industry
Every business is different. Deploy agents designed for how your business actually works.
The problem
Product recommendations miss personalization, driving cart abandonment. Spreadsheet inventory causes stockouts. Manual competitor scraping wastes hours.
How agents fix it
AI agents deliver real-time personalization, track competitor pricing, generate visuals instantly, and predict restocking needs.
Personalized recommendationsCompetitor intelligenceInventory optimizationVisual generation
Types of agents we develop
Purpose-built agents that map directly to business outcomes
🎙️
Voice Agents
Automate customer support, sales, and service ops with multilingual call handling.
Voice Agents
24/7 lead qualification
Automated appointment booking
Call transcription and scoring
⚙️
Workflow Agents
Eliminate repetitive tasks across your existing systems without custom integration.
Workflow Agents
Process automation
Task routing
Exception handling
📊
Analytics Agents
Query sales data, inventory metrics, and customer analytics conversationally.
Analytics Agents
Answer business questions instantly
Generate automated reports
Spot trends and patterns
🔍
Enterprise Search
Your entire knowledge base becomes instantly searchable and queryable.
Enterprise Search
Search all company documents
Extract contract details
Answer compliance questions
🧑💼
Recruitment Agents
Screen resumes, rank candidates, schedule interviews — cut hiring time.
Recruitment Agents
Screen and score resumes
Schedule candidate interviews
Rank applicants by fit
📈
Forecasting Agents
Predict demand, optimize inventory, and reduce waste using your historical patterns.
Forecasting Agents
Sales forecasting
Demand planning
Risk assessment
🛡️
Monitoring Agents
Monitor operations in real-time, flag anomalies before they escalate.
Monitoring Agents
Real-time monitoring
Anomaly detection
Custom alert triggers
🏗️
Custom Solutions
Off-the-shelf doesn't fit? We build agents for your workflows and industry constraints.
Custom Solutions
Industry-specific logic
Designed for your stack
Scale as you grow
What our customer say about us
CloudRaft played a key role in establishing robust, industry-standard DevOps practices for Enkrypt AI. Their expertise in scalable enterprise Kubernetes deployments, networking, monitoring, and operations ensured seamless customer deployments. Their reliable support significantly strengthened our platform, and we highly recommend CloudRaft.
Prashanth Harshangi
CTO, Enkrypt AI
You guys were awesome to deal with and quickly understood our problem, and implemented a solution. Appreciate your support and we will keep you in mind for future engagements.
Joseph Vinikoor
Director, IFF
CloudRaft supported Rezolve.ai in upgrading Kubernetes and Postgres while safely managing live production infrastructure. They researched relevant technologies, provided valuable recommendations, and delivered the project with professionalism and dedication. We highly recommend CloudRaft.
Udaya Bhaskar Reddy
CTO, Rezolve.ai
CloudRaft have carved out a niche and established themselves as leaders in Observability consulting. At KloudMate, we are thrilled to collaborate with them, together aiming to set newer standards for APM and Observability practices, for businesses across the board.
Pranab Buragohain
CEO, KloudMate
CloudRaft demonstrated strong Red Hat OpenShift backup expertise and quickly earned our trust. They resolved complex configuration issues, set up a reliable test environment with replicated production data, and delivered a successful outcome. Their professionalism and commitment make them a partner we would confidently engage again.
Ran Livneh
CTO, WeRTech Israel
Our AI Success Stories
How a 100+ Branch QSR Chain Automated Root Cause Analysis with Agentic AI
We helped a 100+ branch QSR chain cut performance diagnosis from days to minutes — using a custom data pipeline, Power BI analytics, and an agentic AI system that monitors every branch daily.
Multilingual Voice AI assistant for QSR kitchen operations
CloudRaft built a multilingual voice AI assistant for a 100+ branch QSR chain in India, giving kitchen staff instant answers from SOPs and recipes in their own language, using Sarvam BulBul v3 and GraphRAG.
Building AI Cloud for India
Discover how CloudRaft helped a datacenter build an AI cloud platform using cloud native technologies improving scalability, cost-effectiveness, and performance.
Our Insights
Context Graphs for AI Agents: The Complete Implementation Guide
Khushi
January 29, 2026
Context Graph is a knowledge representation framework that enables AI systems to understand relationships between data. Learn how Context Graphs improve reasoning, reduce hallucinations, and power enterprise AI.
Best AI Agent Frameworks in 2026
Khushi
February 27, 2026
Discover the best AI agent frameworks for enterprise in 2026 and learn how to choose the right one for your use case, team, and production requirements.
AI Web Agents: The Future of Intelligent Automation
Arin Zingade
December 23, 2024
Discover how AI Web Agents and Large Action Models are revolutionizing automation with intelligence, adaptability, and seamless efficiency
Ready to build your AI Agent?
Talk directly with our CEO to understand what’s possible for your business.
Meet the CEO
Book a meeting with Anjul
Frequently Asked Questions
How do AI agents work within existing business systems?
AI agents are autonomous software systems that execute multi-step workflows without constant human oversight. Unlike chatbots that respond to queries, agents take action — qualifying leads, processing invoices, analyzing branch performance, routing approvals. They connect to your existing tools, read context, make decisions, and produce outputs tied to real business processes. Every action is logged, traceable, and auditable.
Why do most AI agents fail in production?
It's implementation, not technology. Agents built without a thorough understanding of how a business actually operates make confident decisions on flawed logic — in production, that compounds fast. The second failure point is integration: an agent that can't reliably connect to your real systems is a proof of concept, not a business tool. The third is maintenance — business conditions shift, and an unmonitored agent starts making decisions based on a reality that no longer exists.
Is our business data safe and secured?
Every agent we deploy follows least-privilege access: it reads and writes only what the specific task requires. Every action is logged. For businesses that want complete control, we support sovereign AI deployment — your agents run entirely within your own infrastructure, on-premise or in your private cloud. Your data never crosses into a third-party environment.
How long does AI Agent Development take from POC to production?
A working proof of concept, built on your actual data and tested against your actual workflows, takes 3–4 weeks. Full production deployment typically follows in 1–3 months depending on integration complexity. You will see real results before making any larger commitment.
What ongoing support is included after an AI Agent goes live?
Going live is not the finish line. Every agent includes continuous monitoring, accuracy alerts, and drift detection as standard — not as a separate retainer. When something changes in your business, the agent gets updated. If something breaks, a fallback protocol is already in place before it becomes your problem.
Do AI agents replace employees or augment existing teams?
AI agents handle repetitive work so your people can focus on judgment, relationships, and complex problem-solving. The goal is capacity expansion and talent leverage — not headcount reduction. Your legal team stops spending hours on routine contract review. Your finance team stops chasing invoice approvals. Your support team stops answering the same questions.