Password resets and onboarding ate months of each IT tech's year. AI agents now handle these autonomously, freeing teams for strategic work.
A no-code ITSM SaaS platform processing billions of service management interactions for enterprise customers across more than two dozen industries, including healthcare, financial services, education, and manufacturing.
IT ticket volumes are rising faster than service teams can resolve them, and rule-based automation can no longer keep pace with the variety of issues...
“We landed on building atop AI capabilities in Azure because we felt that we could deliver value faster, cost-effectively, at scale, and more securely, and the data and privacy policies were the strongest for our customers. We also felt that working with Microsoft’s continual innovation would reduce our R&D burden (cost and speed) over the long term.”
No-code ITSM, ESM, and project portfolio management platform.
Enterprise software, cloud infrastructure, and consumer electronics platform.
TeamDynamix's Help desk automation is part of this use case:
Related implementations across industries and use cases
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Staff drowned in 10k weekly tickets. AI now deflects 70% of volume and maps friction points, cutting payment tickets by 50%.
Dense API docs bottlenecked non-technical users. Now, Claude builds fully configured voice agents from simple plain-text requests.
Manual workflows held back growth. Now, AI agents automate software provisioning and draft case notes, saving 1,500 hours monthly.
Onboarding across four platforms required weeks of shadowing. Now, an AI assistant instantly answers Slack queries so new hires self-serve.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
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.
Password resets and onboarding ate months of each IT tech's year. AI agents now handle these autonomously, freeing teams for strategic work.
A no-code ITSM SaaS platform processing billions of service management interactions for enterprise customers across more than two dozen industries, including healthcare, financial services, education, and manufacturing.
IT ticket volumes are rising faster than service teams can resolve them, and rule-based automation can no longer keep pace with the variety of issues...
“We landed on building atop AI capabilities in Azure because we felt that we could deliver value faster, cost-effectively, at scale, and more securely, and the data and privacy policies were the strongest for our customers. We also felt that working with Microsoft’s continual innovation would reduce our R&D burden (cost and speed) over the long term.”
No-code ITSM, ESM, and project portfolio management platform.
Enterprise software, cloud infrastructure, and consumer electronics platform.
TeamDynamix's Help desk automation is part of this use case:
Related implementations across industries and use cases
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Staff drowned in 10k weekly tickets. AI now deflects 70% of volume and maps friction points, cutting payment tickets by 50%.
Dense API docs bottlenecked non-technical users. Now, Claude builds fully configured voice agents from simple plain-text requests.
Manual workflows held back growth. Now, AI agents automate software provisioning and draft case notes, saving 1,500 hours monthly.
Onboarding across four platforms required weeks of shadowing. Now, an AI assistant instantly answers Slack queries so new hires self-serve.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
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.