Think Agentic AI
The Hidden Cost of Outdated Workflows
Modern organizations face the following operational challenges:
- Manual workflows that demand continuous human oversight, delaying key tasks.
- Customer service and internal support workflows (e.g. helpdesk, FAQs, ticket triage) are slow and inconsistent.
- Decision-making processes lack agility. Systems can't autonomously respond to events or deviations.
Enterprise automation remains limited to predefined rules; lacks adaptability to evolving business conditions.
Agentic AI: From Insights to Intelligent Action
AI agents that move beyond analysis to deliver autonomous execution.
- Autonomous agents that sense, plan, and act across workflows
- Seamless execution in email, chat, scheduling, inventory, and support
- Proactive decision-making aligned with business rules and goals
- AI “brains” integrated with automation for responsible, outcome-driven operations
Think AI combines AI models with process automation, giving business processes a proactive “brain.” Agents are aligned to your objectives and operate responsibly and effectively.
Modular Packages To Pilot, Deploy & Scale Intelligent Agents
Think AI offers modular packages to help businesses pilot, deploy, and scale intelligent agents.
Features
Starter
Pilot an intelligent agent
Advance
Automate multiple processes
Enterprise
Purposing large scale automation
Ideal For
Businesses trying their first AI-driven automation
Organizations ready to automate multiple processes
Enterprises pursuing large-scale, autonomous automation
Core Solution
Use Case Discovery for a specific task
Multi-Agent or Multi-Task Solution
Enterprise AI Workforce
Agent Development
Create a basic intelligent agent
Design and develop one or more AI agents
Custom AI Development
Integration
Connect the agent to one data source
Integrate agents with several data sources
Centralized Orchestration
Intelligence
Targeted task automation
Enhanced AI logic
Highly customized AI logic
Scalability
Single process, defined scope
Expand to more roles and systems
Autonomous agents across the enterprise
Controls & Governance
Testing & Demo in a test environment
Monitoring & Controls dashboard
Governance & Compliance
Management & Training
Initial feedback and guidance
User Training
Lifecycle Management
Project Management
Basic Coordination
Standard Project Management
Dedicated Program Management
Support
Standard support during pilot
Enhanced support during rollout
Dedicated priority support
Starter Pack
| Features | Starter Pilot an intelligent agent |
|---|---|
| Ideal For | Businesses trying their first AI-driven automation |
| Core Solution | Use Case Discovery for a specific task |
| Agent Development | Create a basic intelligent agent |
| Integration | Connect the agent to one data source |
| Intelligence | Targeted task automation |
| Scalability | Single process, defined scope |
| Controls & Governance | Testing & Demo in a test environment |
| Management & Training | Initial feedback and guidance |
| Project Management | Basic Coordination |
| Support | Standard support during pilot |
Advance Pack
| Features | Advanced Automate multiple processes |
|---|---|
| Ideal For | Organizations ready to automate multiple processes |
| Core Solution | Multi-Agent or Multi-Task Solution |
| Agent Development | Design and develop one or more AI agents |
| Integration | Integrate agents with several data sources |
| Intelligence | Enhanced AI logic |
| Scalability | Expand to more roles and systems |
| Controls & Governance | Monitoring & Controls dashboard |
| Management & Training | User Training |
| Project Management | Standard Project Management |
| Support | Enhanced support during rollout |
Enterprise Pack
| Features | Enterprise Purposing large scale automation |
|---|---|
| Ideal For | Enterprises pursuing large-scale, autonomous automation |
| Core Solution | Enterprise AI Workforce |
| Agent Development | Custom AI Development |
| Integration | Centralized Orchestration |
| Intelligence | Highly customized AI logic |
| Scalability | Autonomous agents across the enterprise |
| Controls & Governance | Governance & Compliance |
| Management & Training | Lifecycle Management |
| Project Management | Dedicated Program Management |
| Support | Dedicated priority support |
We can also create custom package and quote for you.
Modular Packages to Pilot, Deploy & Scale Intelligent Agents
Think AI offers modular packages to help businesses pilot, deploy, and scale intelligent agents:
Starter
Businesses trying their first AI-driven automation.
Pilot an intelligent agent for a specific task.
Use Case Discovery
- Identify a high-impact, single process suitable for an AI agent (e.g. an FAQ bot or automated scheduling assistant).
Agent Development
- Create a basic intelligent agent using tools like Azure AI (Copilot, Bot Framework) to perform the targeted task autonomously within defined boundaries.
Integration Setup
- Connect the agent to one data source or application (for example, link a chatbot to your FAQ database or connect an agent to your calendar system).
Testing & Demo
- Deploy the agent in a test environment (such as a sandbox Teams channel or staging website) and demonstrate its autonomous capabilities, gathering initial feedback.
Pricing
Advanced
Organizations ready to automate multiple processes with AI. Expand AI agents into more roles and systems.
Multi-Agent or Multi-Task Solution
- Design and develop one or more AI agents that cover a broader set of tasks or a more complex workflow (e.g. an agent that handles employee IT support requests end-to-end, interacting with IT systems to reset passwords or create tickets).
Systems Integration
- Integrate agents with several data sources/APIs or enterprise systems (databases, CRM, ERP) so they can act contextually across platforms. Possibly combine with Power Automate flows or RPA for executing actions.
Enhanced Intelligence
- Implement advanced AI logic, such as natural language understanding for more open-ended interactions, or machine learning for decision policies so the agent can learn from outcomes.
Monitoring & Controls
- Set up an oversight dashboard to monitor agent actions and performance. Include fail-safes (human approval steps or notifications) for critical decisions.
User Training
- Train your staff on how to interact with and supervise these AI agents effectively (e.g. how to hand off tasks to the agent, and intervene if needed).
Pricing
Enterprise
Enterprises pursuing large-scale intelligent automation.
Autonomous agents across the enterprise.
Enterprise AI Workforce
- Deploy a fleet of AI agents across various departments or functions (such as finance, HR, customer service, operations), each specialized but centrally managed. For example, agents that handle invoice processing, customer onboarding, system monitoring, etc. all working in concert.
Centralized Orchestration
- Implement an agent orchestration platform that manages interactions between multiple agents and integrates with your existing enterprise IT infrastructure and data lakes. This includes robust identity and access management for agents acting on behalf of users.
Custom AI Development
- Develop highly customized AI logic for each agent, possibly including training domain-specific models (for instance, an NLP model that understands industry-specific terminology to make better decisions).
Governance & Compliance
- Establish comprehensive governance for autonomous AI – clear policies on what agents can and cannot do, compliance checks (audit logs of agent decisions/actions), and alignment with regulatory requirements.
Lifecycle Management
- Ongoing maintenance, model updates, and expansion of agent capabilities. Think AI will provide continuous support and optimization to ensure your agentic AI ecosystem evolves with your business needs.
Pricing
From a single FAQ bot to enterprise-wide agent orchestration, Think AI grows with your business.
Business Impact of Think Agentic AI
Businesses adopting Think Agentic AI typically see:
- Significantly reduced manual effort and error rate
- Faster workflows—automated tasks operate continuously
- Teams are freed to focus on strategic, creative, and human-centric work
- More agility and real-time responsiveness in operations
- AI agents that scale beyond simple bots to smart systems aligned to goals
Shift from reactive operations to proactive, intelligent execution.
Learn how we can help you
Data
Assessment
We begin with comprehensive assessments to identify strengths, gaps, and opportunities in your current data landscape.
Data
POC
Our rapid Proof-of-Concepts (POCs) quickly demonstrate the practical value of innovative technologies
Datawarehouse
Migration
Effortlessly transition from traditional data systems to advanced, cloud-based Modern Data Warehouses.
Data
Integration
Break down data silos by integrating disparate data sources into one cohesive system.
Data
Governance
Ensure compliance, strengthen security, and enhance trust in your data assets with comprehensive governance frameworks.
Proven Results. Real Business Impact.
Across industries, leaders with a progressive mindset partner with Think AI to transform how work gets done using Generative AI, Agentic AI, and advanced analytics. Whether it is about quick responses during emergencies or smarter sales predictions, our AI solutions yield results as per industry vertical. These outcomes are quick and measurable.
You have questions. We have answers.
Agentic AI refers to systems composed of intelligent agents that autonomously sense, reason, and act toward goals—moving beyond static, reactive AI to proactive task execution.
Traditional automation follows fixed scripts. Agentic AI interprets context, makes decisions, calls external tools, adapts to changing conditions, and operates within defined goals without constant human oversight.
Examples include ticket triaging, approvals, scheduling, order workflows, inventory tasks, internal helpdesk functions, and event-driven actions across systems.
Yes. Think AI emphasizes secure deployment via auditing, access controls, compliance safeguards, and real-time monitoring—especially important in regulated industries.
It’s applicable at any scale. Think AI recommends beginning with a pilot (single-agent proof-of-concept), then scaling based on impact and maturity.
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