Stop manually triaging tickets, analyzing logs, scaling servers, and generating reports. Our AI agents handle multi-step tasks autonomously — integrating with your existing tools and making decisions based on real-time data.
Agentic AI goes beyond simple automation. These are AI systems that can reason, plan, execute multi-step tasks, and make decisions autonomously. Unlike traditional RPA (which follows fixed rules), AI agents adapt to new situations, learn from outcomes, and handle exceptions intelligently.
Where conventional automation breaks when it encounters something unexpected, an AI agent evaluates the situation, considers multiple approaches, and selects the best course of action — just like a skilled human operator would, but faster and without fatigue.
Think of them as AI team members that work 24/7 without breaks, handling the operational tasks your human team shouldn't spend time on. They integrate with your existing tools — Slack, Jira, GitHub, CRMs, databases — and orchestrate complex workflows across all of them.
From custom AI agent development to multi-agent orchestration, we build intelligent automation systems that transform how Indian businesses operate.
Custom AI agents that autonomously handle complex, multi-step business processes. From data gathering to decision-making to execution — your agents work around the clock without supervision, handling tasks that previously required dedicated human attention.
Design and deploy intelligent workflows that connect multiple systems, APIs, and data sources. Unlike static workflows, our AI-powered orchestration decides the optimal path in real-time, adapting to conditions and prioritizing based on business impact.
Combine RPA with AI to automate processes that require judgment — invoice processing, document review, data entry with validation. Our IPA solutions handle the grey areas where traditional automation fails.
Automated incident triage, log analysis, server scaling, deployment pipelines, and performance optimization powered by AI agents. Reduce MTTR by 70% and eliminate the 3 AM wake-up calls with intelligent, self-healing infrastructure operations.
AI agents that pull data from multiple sources, generate insights, create reports, and distribute them on schedule — no human intervention. From daily performance summaries to weekly client reports, fully automated.
Orchestrate multiple specialized AI agents that collaborate on complex tasks — each agent handling its domain while a coordinator manages the workflow. Think of it as an AI team, not just a single bot.
Traditional RPA follows scripts. Agentic AI thinks, adapts, and improves. Here is how they compare across the dimensions that matter most to your business.
Our AI agents are already transforming operations across IT, customer support, finance, HR, e-commerce, and marketing for businesses across India.
Automated ticket triage that categorizes and routes issues instantly. Log analysis agents that detect anomalies before they become outages. Server health monitoring with predictive alerts. Incident response orchestration that resolves common issues without human intervention.
AI agent handles L1 queries with contextual understanding, not keyword matching. Escalates complex issues with full context to human agents. Updates CRM automatically after every interaction. Tracks customer sentiment and flags at-risk accounts proactively.
Invoice processing with intelligent data extraction and validation. Expense categorization that learns your chart of accounts. Bank reconciliation agents that match transactions across systems. Compliance checks that flag irregularities before audits.
Resume screening agents that evaluate candidates against role requirements and company culture fit. Interview scheduling automation across time zones. Onboarding workflow orchestration that coordinates IT setup, document collection, and training assignments.
Inventory management agents that predict stock needs and trigger reorders. Dynamic pricing optimization based on demand, competition, and margins. Order processing with exception handling for payment failures and address issues. Automated customer follow-up sequences.
Campaign performance monitoring agents that track KPIs and surface actionable insights. Content scheduling across platforms with optimal timing. Lead scoring based on behavioral signals and CRM data. Automated report generation with recommendations for next actions.
We build AI agents using production-ready frameworks and integrate them with the tools your teams already use daily.
LangChain Agents, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, Custom Agent Architectures
GPT-4, Claude, Gemini, Llama, Mistral, and other open-source models fine-tuned for your domain
Zapier, Make (Integromat), n8n, custom REST/GraphQL APIs, webhooks, and event-driven architectures
LangSmith, Weights & Biases, custom dashboards, Prometheus, Grafana, and agent performance tracking
Slack, Microsoft Teams, Jira, GitHub, Salesforce, HubSpot, Zendesk, Freshdesk, and custom CRMs
AWS, Google Cloud, Azure, Docker, Kubernetes, serverless functions, and edge computing
A structured, four-step methodology that takes your automation needs from discovery to production-grade deployment with continuous monitoring.
We identify the tasks, decision points, data sources, and integration needs. Every workflow is documented end-to-end before any code is written, ensuring we understand every branch, exception, and dependency.
We design the agent reasoning patterns, tool selection logic, memory systems, and orchestration flows. This includes defining guardrails, fallback strategies, and human escalation protocols.
We develop agents with rigorous testing, edge case handling, and fallback logic. Includes unit testing, integration testing, adversarial testing, and real-world scenario simulations before deployment.
Production deployment with real-time monitoring, performance tracking, and continuous improvement. We track agent accuracy, response times, and escalation rates to optimize performance weekly.
We don't just build AI agents for clients — we use them ourselves. Here is how autonomous agents drive efficiency across our own operations every single day.
AI agents categorize, prioritize, and route incoming tickets to the right team member within seconds. Reduces initial response time by 70%.
Predicts traffic patterns 4 hours ahead and automatically adjusts server resources, preventing both over-provisioning costs and performance bottlenecks.
Processes 10,000+ log entries per hour, identifies patterns, detects anomalies, and surfaces actionable insights before issues impact users.
Daily client reports generated automatically — pulling data from monitoring tools, CRMs, and project trackers with zero manual effort.
Real numbers from real AI automation deployments across Decipher operations and client engagements.
AI agents automatically categorize, prioritize, and route support tickets — freeing your operations team to focus on complex, high-value problems instead of sorting through queues.
AI agents monitor systems around the clock, detect anomalies, and take corrective action automatically — no more 3 AM pager alerts for your team.
What used to take analysts hours of data pulling and formatting is now completed in minutes — with greater accuracy and consistency across every client report.
Everything you need to know before investing in AI agents and intelligent workflow automation for your business.