Transform your operations with agentic AI solutions that are tailored to your business needs and goals while effectively managing your AI risk.
Our industry-leading AI engineering and orchestration capabilities help businesses access the full value of agentic autonomy, transforming enterprise-scale operations to enhance decision-making and accelerate time to value. By focusing on scalability and adaptability, we design agentic AI models that seamlessly integrate with your existing digital ecosystem, setting the foundation for streamlined innovation across the enterprise.
Our advanced AI engineering, AI-first architectures, scalable agent builds, and model orchestration make us a valued agentic AI partner for enterprises.
Enable complex, agent-driven workflows through advanced orchestration, using the model context protocol (MCP) to ensure seamless context sharing.
Deep legacy, cloud, middleware, and data infrastructure expertise allow us to build agentic AI systems that seamlessly integrate with your business.
Implement agentic AI models capable of evolving with changing parameters, leveraging modular, decoupled, and orchestrated agentic workflows.
Our advanced data engineering capabilities allow us to build a strong data foundation for agentic AI models, while implementing strict privacy controls.
With agility at our core, we build and help enterprises adopt tailored agentic AI systems rapidly, driving competitive advantage and adaptability.
We enable secure adoptions by keeping pace with evolving AI regulations and adhering to frameworks like NIST and ISO 42001.
Ensure seamless agentic integration and regulatory compliance by leveraging our comprehensive and diverse industry knowledge.
developers &
AI experts
projects completed successfully
enterprise clients across industries
years of enterprise solutions development
Ensure optimal individual and multi-agent performance, enhance productivity, and enable seamless agent integration with value-driven, tailored agent design and development.
Minimize human errors and enhance productivity by augmenting complex tasks and decision-chains with multi-agent deployment and seamless orchestration.
We help you stay compliant and balance human expertise and oversight with agentic automation by developing efficient, auditable, and explainable HITL agentic AI systems.
Optimize modernization effort and cost while maximizing agentic AI benefits for your workflows with assessment-based, goal-aligned strategies for architectural revamps.
Enable transparent agentic deployments, maximize AI observability, ensure traceability, and mitigate hallucination with AgentOps, future-proofing your agentic AI models.
Maximize agentic AI productivity and efficiency with a robust data infrastructure that ensures optimal data availability, accessibility, and transformation for AI agents.
Streamline change management with training, non-disruptive designs, and agentic AI integration consulting services tailored to your AI goal and readiness gaps.
Enhance productivity of sensitive tasks and enable compliant agentic operations by embedding security and governance controls in agent architectures and orchestrations.
Seamlessly scale agentic AI capabilities for more complex, high-volume tasks across enterprise workflows with modular builds and intelligent orchestration.
Agentic AI replaces rule-based decision-making with data-driven autonomy and adaptive decision-making with much broader and richer applicability.
Bias risk in AI agents is systematically mitigatable, and they significantly reduce human errors, making business
processes more robust and reliable.
Agentic AI systems with built-in feedback loops self-optimize and may adapt faster to changing requirements than humans, increasing operational agility.
From automated activity logs to decision chains, agentic AI deployments offer increased visibility of operations
and decision-making, enabling better governance and proactive optimization.
We start by evaluating your agentic AI goals in the context of your operational needs, goals, and broader AI goals, and identifying specific processes that may benefit from agentic AI.
A comprehensive technical assessment of your existing data and overall digital infrastructure for its AI adoption readiness to define the scope of work.
Optimal agentic AI development tools and frameworks are selected based on your cloud environment, existing operational needs, and future scalability projections.
Individual AI agents and orchestrated multi-agent systems are developed and tested for their individual and collective functionality. Security and governance controls are embedded.
Tested agent AI systems are strategically deployed and tested again in production for performance, operational friction, external access, and security/compliance vulnerabilities.
We help enterprises redefine their workflows around agentic AI deployments for optimal performance, scalability potential, and adopt the best change management practices.
We monitor the behavior of agentic AI systems for drift, external calls, self-optimization, etc., and make modifications to individual agents and multi-agent orchestration for optimal results.v
Unlock massive productivity gains with agentic AI, securely, compliantly, and pragmatically with 10Pearls.










Our agentic AI consulting services can help you make an informed decision about embedding agentic AI into your workflows.
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Agentic AI refers to AI-powered systems that can plan, sequence, and execute multi-step tasks based on pre-defined goals with minimal to no human intervention. They can modify their behavior based on external and internal feedback loops, self-optimize, access external resources, and possess at least some degree of autonomy. In the broadest sense, it means any AI system that has the “agency” to pursue a goal without step-by-step human guidance can be considered agentic AI.
The core characteristics of agentic AI include perception, reasoning, objective planning, decision-making, and learning. Some AI leaders also include orchestration as a core characteristic in most multi-agent deployments.
Agentic AI is the broad classification of AI systems with the autonomy to plan and act towards pre-defined goals and feedback loops for self-optimization. While AI agents are the individual units within this model. AI agents are goal-driven components designed to perform specific tasks, use tools, access systems, or handle a defined workflow. They operate with scoped permissions, capabilities, and responsibilities. Multiple AI agents can be connected and orchestrated to achieve more complex agentic AI deployment.
Only if they are designed and deployed without prioritizing governance and security from the beginning. As an ISO 27001 certified company well-versed in AI governance frameworks and regulations, 10Pearls takes a security and governance-first approach to agentic AI software development services. We identify vulnerabilities and risks that different levels of agentic autonomy pose and strengthen the security and governance posture for this expanded threat surface.
Yes. Many multi-agent, orchestrated implementations can fully automate a workflow end-to-end. However, some sensitive situations may require human oversight and decision-making for compliance.
Rethink your operational model and break through your workforce constraints with agentic AI tailored to your business.