Manual coding and RFP analysis slowed teams. AI agents in Teams now generate the drafts, achieving 73% code accuracy.
A global pure-play ServiceNow partner and consultancy with over 300 employees providing enterprise service and asset management solutions.
Manual workflows across engineering, sales, and internal support created efficiency bottlenecks as the firm sought to scale. Developers spent time on...
“We have had a long-standing relationship and mutually beneficial partnership with ServiceNow over the last eight years. ServiceNow has identified us as a focused AI partner for helping customers to experience the power of ServiceNow AI, which in turn, helps them to automate tasks across the organization 24/7.”
ServiceNow partner specializing in digital transformation and IT service management.
ServiceNow is an enterprise software company that specializes in IT Service Management, cloud computing, and digital transformation solutions.
InMorphis's Internal operations automation is part of this use case:
Related implementations across industries and use cases
Consultants took months to deploy. AI paths now ready them in weeks, while agents draft code with 73% accuracy.
7,000 weekly tickets delayed by manual notes. AI now drafts instant summaries, slashing resolution time by 47%.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Consultants took months to deploy. AI paths now ready them in weeks, while agents draft code with 73% accuracy.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Manual coding and RFP analysis slowed teams. AI agents in Teams now generate the drafts, achieving 73% code accuracy.
A global pure-play ServiceNow partner and consultancy with over 300 employees providing enterprise service and asset management solutions.
Manual workflows across engineering, sales, and internal support created efficiency bottlenecks as the firm sought to scale. Developers spent time on...
“We have had a long-standing relationship and mutually beneficial partnership with ServiceNow over the last eight years. ServiceNow has identified us as a focused AI partner for helping customers to experience the power of ServiceNow AI, which in turn, helps them to automate tasks across the organization 24/7.”
ServiceNow partner specializing in digital transformation and IT service management.
ServiceNow is an enterprise software company that specializes in IT Service Management, cloud computing, and digital transformation solutions.
InMorphis's Internal operations automation is part of this use case:
Related implementations across industries and use cases
Consultants took months to deploy. AI paths now ready them in weeks, while agents draft code with 73% accuracy.
7,000 weekly tickets delayed by manual notes. AI now drafts instant summaries, slashing resolution time by 47%.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Consultants took months to deploy. AI paths now ready them in weeks, while agents draft code with 73% accuracy.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.