AI-Based Support Agent Development

@rakhshanz3

With deep expertise in AI development, particularly within Incident Management and Support, I am confident that I am the right fit to take on this project. Over the years, I have honed my skills to automatically analyze, categorize, prioritize incidents, identify historical patterns and recommend relevant solutions. Notably, under my leadership as Chief Technology Officer at an AI start-up, we developed voice and chat agents for customer support/booking service and machine learning-based analytics platforms for business insights and automation; tasks that align perfectly with this project. Moreover, my extensive experience in both academic research and industry practice has equipped me with a balance of theoretical knowledge and practical know-how. This blend plays a crucial role in developing effective AI systems; understanding both the algorithms behind them as well as their real-world implications. I have also had the privilege to consistently collaborate with teams on large-scale software projects, a testament to my ability to work seamlessly even within complex structures.

@huzaifa306

Hi, I can develop the AI incident support agent to analyze, prioritize, find similar incidents, recommend resolutions, and handle approved remediation actions with human oversight. I have experience with AI agents, APIs, automation, and workflow systems, and can integrate the solution cleanly with ServiceNow. Let’s discuss the requirements and existing setup so we can get started.

@MuhammadAkif8

I can build an AI-powered Incident Support Agent in ServiceNow that intelligently analyzes, categorizes, and prioritizes incidents while helping support teams resolve issues faster with controlled human oversight. The solution can identify similar historical incidents, recommend relevant resolution steps, execute only approved troubleshooting or remediation actions, validate successful resolutions, update incident records, and automatically close incidents when the defined criteria are met. I’ll also ensure the workflow includes appropriate approval and human-review checkpoints for safe automation. Do you already have historical incident data and knowledge articles available in ServiceNow for the AI to reference? Which troubleshooting or remediation actions should require human approval before the agent can execute them? Best regards, Akif K

@modesorehari6

Hello! I have experience building AI-powered support automation, incident classification, knowledge retrieval, and workflow integrations using ServiceNow APIs, LLMs, vector search, and secure backend services. I will build an agent that analyzes incoming incidents, assigns category and priority, finds similar historical cases, recommends resolution steps, and executes only approved remediation actions with human oversight. I will also add resolution validation, automatic incident updates and closure, audit logs, confidence checks, and safeguards to prevent incorrect automated actions. Timeline: 3 weeks I am available to start immediately. I will follow your ServiceNow workflow and suggestions closely, and I am also interested in supporting you long term as the automation expands. Thanks

@siiamalam1

I’m proposing to build an AI agent that automates incident management inside ServiceNow. The agent will: • Automatically analyze, categorize, and prioritize incoming incidents • Find similar past incidents and suggest resolution steps • Carry out approved troubleshooting actions, with human oversight for control • Validate that the issue is resolved, update the incident record, and close it automatically Goal: Faster resolutions, less manual work for the support team, and consistent, well-documented incident handling.

@AyeshaXahra

Hi there, I am an AI automation and integration expert and I can build your AI incident support Agent with full service integration . I specialize in developing AI agents , Workflow automation and custom LLM integrations.

@mahads31

With a solid foundation in AI development and model creation, I am certain I'm the best candidate for your AI Incident Support Agent project. I have mastered understanding complex requirements and transforming them into pragmatic solutions, which aligns perfectly with the sophisticated needs of your project. I have successfully developed robust web, mobile, and SaaS applications as well as CRM solutions that are built for efficiency, scalability, and long-term business success - precisely the kind of product you seek. My experience extends across multiple industries domestically and internationally, allowing me to integrate various technologies seamlessly for optimal results. This includes cloud infrastructure and deployment as well as API integration - two key elements crucial to building a powerful AI system like the one you require. Additionally, I carry an unwavering commitment to delivering exceptional value to my clients throughout all stages of development. I always prioritize creating clear strategies at the outset to ensure efficient execution that aligns with both immediate requirements as well as long-term objectives. With me as part of your team, you can be confident in attaining a high-impact digital platform that ensures rapid incident analysis, accurate categorization & prioritization,prioritization of incidents making your company’s operations more seamless than ever before.

@aditim0707

Hi! I'd love to build this for you. Here's how I'd approach it: What I'll deliver An AI agent inside your ServiceNow instance that: Auto-analyzes, categorizes & prioritizes new incidents on arrival Matches against historical incidents/KB articles and suggests resolution steps Executes approved low-risk fixes (restarts, unlocks, cache clears) with human approval on anything higher-risk Validates the fix worked, updates the incident record, and auto-closes it Why this approach I'll build in a tiered autonomy model — read-only diagnostics run free, but anything touching production waits for your sign-off until we've proven it's safe. Every action gets logged to work notes, so you get a full audit trail from day one. How I'll work Discovery (1 wk) – review your incident data, CMDB, KB quality, define the approved action list with you Build (2–3 wks) – configure the agent, connect integrations, set up approval workflows Pilot (2 wks) – shadow mode first: agent recommends, your team executes, we measure accuracy Go-live – enable automation for the approved scope, then expand Timeline: 5–8 weeks to a working pilot, depending on integration complexity What I need from you: ServiceNow instance access (dev/sandbox), a sample of historical incidents, and a stakeholder for the approval-workflow design session Happy to hop on a call to scope exact pricing once I understand your incident volume and current tooling. Looking forward to it!

@ammarahmed20

Your company needs an AI-based support agent that can revolutionize your incident management system. My name is Ammar Ahmed, an experienced developer who has built numerous automation systems, AI agents, and marketplaces. To show my competence, I'll highlight three of my successful projects: Tritaur, a gaming marketplace with Stripe escrow and real-time messaging that generates $50K+ monthly; Quantum Trading Mastery, an education platform that utilizes automation and community engagement; and Social Slots Games, a complex gambling platform. Drawing from these projects and many others, I have actively developed powerful AI systems that match your project requirements to the tee. Most importantly, I prioritize the needs of my clients by ensuring each piece of code produced is well-documented and developed for production. This meticulous approach guarantees a seamless integration process with ServiceNow or any other infrastructure you utilize. In conclusion, partnering with me means gaining access to my extensive knowledge on building AI workflows with technologies like OpenAI, Vapi, Claude as well as deep familiarity with Voicebot systems and chatbots. Choose me for your AI-based Support Agent development project and together we will transform your manual support operations into efficient and responsive ones while saving valuable time and resources

@shubhamraj3

Hi, I can develop an AI-based support agent designed to handle customer questions and automate common support workflows. My approach would be to build the agent around your existing support knowledge and business workflows rather than creating a simple chatbot that only generates generic responses. The solution can include: * AI-powered customer support * Knowledge-base / document retrieval * Context-aware responses * Conversation history * FAQ and common-query handling * Fallback / human handoff for queries the AI cannot confidently answer * API integration where required * Clean and simple chat interface * Error handling and testing * Modular structure so the system can be extended later I can use a modern Python-based AI architecture and integrate the required model, retrieval system and APIs according to your existing environment. Before implementation, I’ll first understand your current ServiceNow/support workflow and the exact integrations required, then build the agent around those requirements. I can deliver the initial working version within 7 days. I’m available to start immediately.

@QubrixSolutions

I can build an AI-powered ServiceNow incident support workflow that analyzes incoming incidents, categorizes and prioritizes them, finds similar historical incidents, and recommends relevant resolution steps. The workflow can also support human-approved remediation actions, verify the outcome, update incident records, and close resolved incidents automatically. I would focus on a reliable architecture with ServiceNow API integration, AI-based incident analysis, historical incident retrieval/RAG, approval gates for remediation, validation, logging, and error handling. I can deliver a working MVP with clear documentation and a modular design so additional troubleshooting actions and incident categories can be added later.

@tommys24

Hi, I can help build a practical POC for an AI-powered ServiceNow Incident Support Agent with human approval at critical steps. The system can: • Analyze, categorize, and prioritize incidents • Find similar historical incidents • Recommend troubleshooting and resolution steps • Request human approval before remediation • Validate actions and resolution status • Update and close resolved incidents automatically I would use a modular architecture combining ServiceNow APIs, Python, an LLM/API layer, structured prompts, and workflow automation. A RAG/knowledge-base layer can also be added to improve recommendations using historical incidents and documentation. For the POC, I will focus on reliability, safe human oversight, clear decision logic, and proper logging. The system can then be expanded with additional remediation actions and production-level controls. I have hands-on experience with AI, prompt engineering, automation, chatbot workflows, and API integrations. I can provide clean, commented code and documentation covering setup and workflow. I would be happy to demonstrate the complete incident analysis → recommendation → approval → remediation → validation workflow. Best regards, Raja Nand Rao

@eugabrielmaximo

Hello, The key challenge here isn’t just analyzing ServiceNow incidents - it’s making the entire incident lifecycle reliable enough to automate without losing human control. I’d approach this as a controlled incident-support agent that can reason over historical incidents, recommend actions, execute only approved remediation steps, and verify the outcome before closing anything. For similar AI workflows, I’ve focused on grounding model decisions in structured data and retrieval rather than relying on LLM output alone, which is especially important here for avoiding hallucinated resolutions and unsafe remediation. One question: do you already have a historical ServiceNow incident dataset and a defined set of remediation actions the agent is allowed to execute? If so, I can propose the agent architecture around your existing workflow.

@amirb458

Hello, I’m interested in this project and would like to understand the requirements in more detail. My current profile focuses on content writing, data entry, and product listing, so I want to be transparent that ServiceNow development is not currently listed as my professional specialization. I would be happy to discuss whether there is a suitable supporting role within the project that matches my skills.

@kelleyg2002

⭐ Dear Client! ⭐ ̗̀♡ I can begin within the next minute! ‧₊˚✧ I have experience with ✅ AI automation and support workflows, and I understand you need an agent that can analyze ServiceNow incidents, find similar cases, suggest fixes, and safely handle approved remediation. I can help with building the AI workflow, connecting it with ServiceNow, prioritizing incidents, finding past resolutions, and adding human approval before any troubleshooting action. I can also make it validate the result, update the incident, and close it when resolved. I have experience about this and can build it in a simple, reliable way. What ServiceNow instance and AI/LLM platform are you currently using? I am looking forward to contributing to your success! Regards, Kelley.

@sahar382

Hello, my name is Sadia Sahar. I’m interested in this project because I believe my skills in AI automation and workflow development can be a good fit for your requirements. I have experience working with tools such as n8n, AI workflows, Google Sheets, webhooks, and automation. I can understand your requirements, build the workflow according to your needs, and make sure the process works smoothly. I’m responsible, detail-oriented, and willing to communicate clearly throughout the project. I would be happy to work on your project and deliver the best possible result. Thank you for considering my proposal. I look forward to working with you.

@softrenzu

I can build the AI Incident Support Agent you described, with a clear focus on safe automation and human approval for remediation actions. I can implement the workflow to automatically analyze, categorize, and prioritize incidents, retrieve similar historical cases, recommend resolution steps, and update ServiceNow records after validation. For the AI layer, I can use retrieval-based reasoning over historical incidents and knowledge articles so recommendations are grounded in your existing support data rather than relying only on generic LLM responses. The implementation will include: - Incident classification and prioritization - Similar incident and knowledge retrieval - AI-generated resolution recommendations - Human approval before remediation actions - Resolution validation - Automatic incident updates and closure - Logging and safeguards for automated actions I can start immediately and deliver an initial working version within 5 days. I will keep the solution modular so additional remediation workflows can be added later.

@moksha48

having 5 years of experience in Servicenow hands-on development, relevant to the project. worked in Big 4s and product based company for ServiceNow

@saalimko

I am an experienced developer with a strong technical background from my time at MindPlugged, specializing in custom API integrations and AI-driven automation. I will build your AI Incident Support Agent for ServiceNow to automatically analyze, categorize, and prioritize incoming tickets. The system will leverage historical data via vector search to recommend resolution steps and feature a secure "human-in-the-loop" interface for executing approved remediation actions. Finally, it will validate fixes and automatically close incidents to optimize your IT support cycle.