It is an agentic platform to create Connected Intelligence, power hybrid search and delivery enterprise ready agentic experience. It leverages Amazon bedrock agentcore, guardrails to build and integrate agents.

    Overview

    ZenseAI is an agentic platform for connected intelligence which is designed to bring clarity in the midst of chaos, Platform unlocks hidden enterprise knowledge and makes it usable, searchable, and actionable—across the board. An AI-powered suite integrated with amazon bedrock and consist of 150+ predefined agents designed to optimize IT operations across engineering, modernization, and support. From code generation and legacy upgrades to service desk automation and knowledge extraction, these tools help teams focus on innovation while covering the 80% of IT work beyond coding.

    ZenseAI brings you:

    • "AI for All" across key Enterprise SDLC personas.• Fragmented Enterprise Content/data to Connected Intelligence.• Access to data/intelligence as per Enterprise access policy. • Unified and Smart Workspace that connects across All Code Layers, Any Technology stacks, Any Architecture, Any Knowledge including support ticket history • Human-like Intelligence to assess Software health, E2E dependency, Domain data connections, Debts related risks involved • Unique cost-effective solutions to process large code/knowledge data • Effective translation of Any code into Meaningful English specs and recreate knowledge sources • Unified Search and conversation across workspace and collaborate with your team • Focus on your task with abstracted prompts and agents, and measure effectively • Build your own agents as per need with simple UI • Guided AI Agents to Augment, Automate, Avoid across Product Engineering and Sustenance lifecycle • Available in as a web-platform and VSCODE plug-in • Built-in connectors for seamless access across Enterprise Systems • Deploy Anywhere – Any Cloud, supports Foundational LLM’s across hyper-scalers • Responsible AI at Core – your data is yours and we don’t use for training any models. Transparency and lineage across data sources. Guardrails across all layers .

    Highlights

    • 30 to 50% increase in Time to Value: -Faster decision making with real-time AI-curated insights -Shift to higher value work with time repurposed for solving, building, and improving -Productive creative teams: cognitive capacity unlocked for problem solving
    • 30 to 40% decrease in cost to serve: -Reduction in team size and number of teams -Reduction in duration of modernization programs -Reduction in cost of operations for sustenance programs
    • 40 to 60% increase in Customer Experience: -Improvement in customer response times in engineering -Improvement in user experience through AI-led design -Improvement in UX through responsive sustenance service design

    Details

    Delivery method

    Deployed on AWS
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    Support

    Vendor support

    Please contact the Zensar AES team at AES_Core@zensar.com  for further queries.