Enterprise Knowledge Search · Sales Automation
InMorphis wanted to scale development, internal support, and sales-response work without depending only on scarce ServiceNow specialists or slowing teams with manual document search, repetitive code tasks, and inconsistent RFP drafting.
Reported impact
InMorphis launched three generative-AI solutions in four weeks, achieved 73% code accuracy, met 100% of IT and HR SLAs with its support bot, and improved sales-team productivity by 2.5x through AI-assisted RFP and document workflows.
InMorphis built three internal generative-AI workflows on ServiceNow AI Agents in just four weeks. For development, the company integrated a Microsoft Teams bot with ServiceNow large language models so employees across the business could generate ServiceNow code and configurations directly from chat, extending low-friction development beyond the core engineering team. For employee operations, InMorphis created an HR and IT support bot that reads a centralized knowledge base of documents, spreadsheets, and PDFs, then returns natural-language answers in real time. For go-to-market work, the sales team uses AI Agents to analyze customer RFPs, generate draft responses, ask probing follow-up questions, and search sales collateral inside Teams. Together, those flows let one ServiceNow-centered AI fabric serve internal support, developer productivity, and revenue workflows from the same knowledge and agent foundation.
Employees and sales staff start in Microsoft Teams, where AI workflows call ServiceNow LLMs or AI Agents depending on the task. Code-generation prompts return ServiceNow development output, while HR, IT, and RFP requests pull from the centralized knowledge base to answer questions or assemble draft responses in real time.
By accessing and reading a centralized knowledge base of documents, Excel spreadsheets, and PDFs, the bot provides real-time, natural language responses.
InMorphis integrated its Microsoft Teams bot with the ServiceNow large language models (LLMs) to enable its whole organization to generate ServiceNow code on Teams chat quickly and easily.
InMorphis launches three revolutionary generative AI solutions in just four weeks.
Leveraging the power of ServiceNow AI Agents, inMorphis developed an AI-driven employee support bot to answer HR and IT queries.
The inMorphis sales team utilizes ServiceNow AI Agents to analyze customer RFPs and generate AI-driven responses, accompanied by probing questions to ensure comprehensive answers.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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