Agentic AI
& Automation
Intelligent Agents That Think, Decide, and Execute Autonomously
We build AI-powered autonomous agents that go beyond simple automation. Our agentic systems reason through complex workflows, make decisions in real-time, and continuously learn to drive measurable business outcomes at scale.
Trusted by
Brands we’ve partnered with
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…and 200+ other growth-focused businesses across B2B, D2C, travel, and finance.
How We Build Agentic AI Systems
A rigorous five-phase process from discovery to deployment and continuous improvement.
Discover
Process Mining & Analysis
Map your workflows, identify automation opportunities, and define the agent's goals and decision boundaries.
Design
Agent Architecture
Architect the agent's reasoning framework, tool integrations, memory systems, and safety guardrails.
Build
Development & Training
Develop, fine-tune, and train agents using your data with robust testing and validation protocols.
Deploy
Production Rollout
Staged deployment with human-in-the-loop oversight, monitoring, and performance benchmarking.
Evolve
Continuous Learning
Agents improve continuously through feedback loops, retraining, and expanding autonomous capabilities.
Where Agentic AI Delivers Impact
Autonomous agents that transform operations across key business functions.
Autonomous Customer Support
AI agents that handle complex customer queries, escalate intelligently, resolve tickets autonomously, and learn from every interaction to improve over time.
Intelligent Revenue Operations
Agents that autonomously score leads, personalize outreach sequences, optimize pricing, and orchestrate multi-channel campaigns to maximize revenue.
Data Pipeline Automation
Self-healing data pipelines managed by AI agents that detect anomalies, fix schema drift, optimize transformations, and ensure data quality at scale.
Document Intelligence
Agents that extract, classify, validate, and route documents autonomously — from invoices and contracts to compliance reports and legal filings.
IT Operations & DevOps Agents
Autonomous agents for incident triage, root cause analysis, auto-remediation, infrastructure scaling, and predictive maintenance across your tech stack.
Predictive Analytics Agents
AI agents that continuously monitor business KPIs, detect patterns, forecast trends, generate insights, and proactively recommend strategic actions.
Agentic AI Services
End-to-end capabilities to design, build, and scale intelligent autonomous systems for your business.
AI Agent Strategy & Consulting
- Automation opportunity assessment
- ROI modeling and business case development
- Responsible AI governance framework
Custom Agent Development
- Multi-agent orchestration systems
- Tool-use and API integration agents
- Retrieval-augmented generation (RAG) agents
LLM Integration & Fine-Tuning
- GPT, Claude, Gemini, and open-source LLMs
- Domain-specific fine-tuning and prompting
- Evaluation, testing, and benchmarking
Workflow Automation
- End-to-end process automation
- Human-in-the-loop approval workflows
- Cross-system integration and orchestration
AI Safety & Guardrails
- Output validation and hallucination detection
- Bias monitoring and fairness testing
- Audit trails and explainability reporting
Agent Monitoring & Ops
- Real-time agent performance dashboards
- Cost tracking and token optimization
- Continuous retraining and drift detection
How Agentic AI Works
Our agents follow a continuous perceive-reason-decide-act loop to autonomously handle complex tasks.
Perceive
Agents ingest data from APIs, databases, documents, and real-time streams to understand context.
Reason
LLM-powered reasoning chains analyze information, weigh options, and form strategic plans.
Decide
Agents select the optimal action based on goals, constraints, and risk thresholds with built-in guardrails.
Execute
Actions are executed via tool calls, API integrations, and system commands with full observability.
AI Platforms & Frameworks
We leverage the best-in-class AI tools and platforms to build robust agentic systems.
Agentic AI in Action
Real-world outcomes from our autonomous AI deployments across industries.
E-commerce Support Agent
Autonomous agent resolving 85% of customer queries without human intervention.
FinTech Lead Scoring Agent
AI agent automating lead qualification and personalized outreach at scale.
Healthcare Data Pipeline
Self-healing pipeline agent processing 2M+ records daily with zero manual intervention.
Legal Document Processor
Contract analysis agent extracting clauses and flagging risks across 10K+ documents.
Frequently Asked Questions
Common questions about our Agentic AI and Automation services.
What is Agentic AI and how is it different from traditional automation?▾
Agentic AI refers to autonomous AI systems that can perceive their environment, reason about complex problems, make decisions, and take actions independently. Unlike traditional rule-based automation (RPA), agentic AI can handle ambiguous situations, learn from outcomes, adapt to changing conditions, and manage multi-step workflows that require judgment and contextual understanding.
Which LLMs and AI models do you work with?▾
We are model-agnostic and work with all leading LLMs including OpenAI GPT-4, Anthropic Claude, Google Gemini, Meta LLaMA, and Mistral. We also specialize in open-source models for on-premise deployments. Our approach selects the optimal model based on your use case requirements for accuracy, latency, cost, and data privacy.
How do you ensure AI agents are safe and reliable?▾
Safety is built into every layer of our agent architecture. We implement output validation, hallucination detection, decision boundary constraints, and human-in-the-loop approvals for high-stakes actions. Every agent includes comprehensive audit trails, explainability features, and bias monitoring. We follow responsible AI principles and can deploy agents with configurable autonomy levels.
Can AI agents integrate with our existing systems?▾
Absolutely. Our agents are designed to integrate seamlessly with your existing tech stack including CRMs (Salesforce, HubSpot), ERPs (SAP, Oracle), databases, cloud platforms (AWS, Azure, GCP), communication tools (Slack, Teams), and any system with REST/GraphQL APIs. We build custom connectors and use orchestration frameworks to ensure smooth interoperability.
What does deployment and ongoing support look like?▾
We follow a staged deployment approach: starting with a sandbox environment, then moving to limited production with human oversight, and finally full autonomous deployment. Post-launch, we provide 24/7 monitoring, performance dashboards, continuous model retraining, and dedicated support. Our agents include built-in observability for tracking decisions, costs, and outcomes.
How long does it take to build and deploy an AI agent?▾
A focused single-purpose agent can be prototyped in 2-3 weeks and production-ready in 6-8 weeks. Complex multi-agent systems with deep integrations typically take 3-5 months. We start with a rapid proof-of-concept phase to validate value before committing to full-scale development, ensuring you see results early.
Build Your First AI Agent
Tell us about your workflows and we'll design an agentic AI solution that delivers autonomous, measurable results.
- Process discovery & automation mapping
- Custom agent prototype in 2-3 weeks
- ROI modeling & business case review