Agentic AI
Empower your data journey with intelligent automation and innovative enablement at scale.
Why Agentic AI?
Agentic AI goes beyond answering questions. Unlike isolated automation, it drives context-aware actions that integrate directly into your business workflows. It enables proactive, intelligent agents that deliver real, measurable impact. With the ability to deliver up to 40x more efficiency and effectiveness, Agentic AI is reshaping how enterprises operate and scale.
Why Now?
Businesses today face rising demands for faster decision-making, smarter automation, and scalable operations. Traditional analytics and AI approaches are too slow, too siloed, or too costly. Agentic AI offers the solution—automation that acts with context, ensures compliance, and delivers rapid ROI. The era of context-aware, action-driven AI is now the future. That’s today’s competitive advantage.
Mission
Empowering businesses and individuals with agentic AI that thinks, adapts, and acts—boosting efficiency, creativity, and smart decision-making.
Vision
To shape a future where AI seamlessly collaborates with humans—creating intelligent, ethical, and impactful digital ecosystems that drive global innovation.
Your Future with Agentic Al Starts Here
Book a strategic demo session with our experts and see how intelligent agents can elevate your enterprise
Our Latest Findings Section
01
Surge Datalab -
LangChain
LangChain simplifies building smart apps with LLMs by connecting them to data and APIs for faster, flexible development.
02
Surge Datalab -
Phidata
Phidata (Agno) is a powerful Agentic AI framework!
03
Surge Datalab -
Replicate
Replicate lets you deploy ML models instantly—no setup, pay-as-you-go, and easy API access for fast, real-world use.
04
Surge Datalab -
Okta
Okta secures access with SSO, MFA, and app integration. Watch the video to see how it keeps organisations safe and efficient.
05
Surge Datalab -
pinecone
In multi-agent AI, a pinecone provides a decentralized structure for efficient data retrieval, processing, and scalable coordination.
06
Surge Datalab -
ZEP
Zep is a memory system for agentic AI, enabling agents to learn from past interactions for better decisions, personalization, and adaptability.
Our Agentic AI Approach for Client Impact
Our five-step approach
Create measurable impact in 10-16 weeks with framework for maintenance and enhancement
Deliverables for Step- 1
01
Step- 2
Step- 1
3-4 Weeks
2-3 Weeks
Design "TO-BE"
Process
Analyse "AS-IS"
Process
Redesign workflows with
agents as proactive
system actors.
Map current workflows,
tooling, & pain points to
identify automation
potential & agent readiness.
Annotated process maps
with agent opportunity zones
Task Automation Matrix with
readiness scores
Human-Al Interaction Blueprint
Initial Automation Risk Register
Existing System Architecture
& Data Flow Documentation
1.
2.
3.
4.
5.
Deliverables for Step- 2
02
Step- 3
Step- 2
4-6 Weeks
3-4 Weeks
Develop Agent-Centric
Integration
Design ''TO-BE"
Process
Identify the right set of
tools and build, test, and
integrate agents into
systems.
TO-BE Workflows with agent integration
Agent RACI Matrix
Guardrail & Risk Register
Agentic Architecture Blueprint (v1)
Redesign workflows with
agents as proactive
system actors.
1.
2.
3.
4.
Deliverables for Step- 3
03
Step- 4
Step- 3
2-3 Weeks
4-6 Weeks
Deploy Agents
safely at scale.
Develop Agent-Centric
Integration
Establish real time
observability and
governance for security
and role management
Identify the right set of
tools and build, test, and
integrate agents into
systems.
MVPs of 2-3 functional agents
Architecture diagram with
agent overlays
Tool Evaluation &
Recommendation Report
Human-in-Loop Design
with fallback flows
1.
2.
3.
4.
Deliverables for Step- 4
04
Step- 5
Step- 4
Ongoing
2-3 Weeks
Refine Agents continuously
with feedback loop
Deploy Agents
safely at scale
Measure the KPIs, reiterate
and improve until the ROl is
achieved
Establish real time
observability and
governance for security
and role management
Real-time dashboards
(performance, cost, errors)
Governance engine with policy
enforcement
Production runbooks
Hallucination/failure incident playbooks
1.
2.
3.
4.
Deliverables for Step- 5
05
Step- 5
Ongoing
Refine Agents continuously
with feedback loop
Measure the KPIs, reiterate
and improve until the ROl is
achieved.
Agent leaderboard
Dataset repository for fine-tuning
Annual ROI & time-saved reports
Monthly performance dashboards
Step- 1
2-3 Weeks
Analyse "AS-IS"
Process
Map current workflows,
tooling, & pain points
to identify automation
potential & agent readiness.
1.
2.
3.
4.
Our Agentic AI Approach for Client Impact
Our Agentic AI Approach for Client Impact
Our Research Insights
We have developed an in-depth research report on over 150 tools and technologies within the Agentic AI ecosystem, spanning more than 650+ pages. To request access to the report, please click on the link below.
Claude is a generative AI chatbot and a family of large language models (LLMs) developed by Anthropic. It’s designed to engage in natural language conversations, provide information, and generate various text formats. Claude is also known for its focus on safety and ethical AI practices, aligning with Anthropic’s “Constitutional AI” approach.
CrewAI is an open-source, Python-based framework for building and managing multi-agent AI systems. It allows users to create teams of AI agents that can collaborate and work together to accomplish complex tasks. These agents can be assigned specific roles, goals, and tools, enabling them to function like a cohesive unit.
Your Future with Agentic Al Starts Here
Book a strategic demo session with our experts and see how intelligent agents can elevate your enterprise
