Three disconnected systems: one consultant could be recommended for four deals undetected. Now conflicts surface before deals close.
A 155-person AI consulting firm where people are the product, deploying consultants across client engagements that each require matching specific skills, seniority levels, and availability.
Staffing decisions required pulling from three siloed systems before anyone could propose a team, forcing a full prep meeting before every staffing...
“Those were three completely different systems that don't talk to each other, don't have any way of giving us visibility in real time.”
DevOps and AI consulting partner for enterprise software delivery.
HR, payroll, and IT management platform for global workforce operations.
Liatrio's Staffing recommendations is part of this use case:
Related implementations across industries and use cases
Comp data across five systems meant Taylor was a retrieval mechanism. One prompt built a live dashboard; four workflows run without her.
Every week: pull from Zendesk, pull from Rippling, rebuild the Sheet — and start over when the data changed. Now a dashboard does it live.
Managers split between guiding 78-question calls and typing notes, losing context at handoff. AI transcribes calls; they focus on the match.
Managers split between guiding 78-question calls and typing notes, losing context at handoff. AI transcribes calls; they focus on the match.
Spreadsheets slowed staffing to eight weeks. AI agents now screen talent and automate contracts, cutting cycle times by 50%.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Quarterly compliance updates meant costly reshoots. Now scripts regenerate instantly — no cameras, no vendors, no delays.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Three disconnected systems: one consultant could be recommended for four deals undetected. Now conflicts surface before deals close.
A 155-person AI consulting firm where people are the product, deploying consultants across client engagements that each require matching specific skills, seniority levels, and availability.
Staffing decisions required pulling from three siloed systems before anyone could propose a team, forcing a full prep meeting before every staffing...
“Those were three completely different systems that don't talk to each other, don't have any way of giving us visibility in real time.”
DevOps and AI consulting partner for enterprise software delivery.
HR, payroll, and IT management platform for global workforce operations.
Liatrio's Staffing recommendations is part of this use case:
Related implementations across industries and use cases
Comp data across five systems meant Taylor was a retrieval mechanism. One prompt built a live dashboard; four workflows run without her.
Every week: pull from Zendesk, pull from Rippling, rebuild the Sheet — and start over when the data changed. Now a dashboard does it live.
Managers split between guiding 78-question calls and typing notes, losing context at handoff. AI transcribes calls; they focus on the match.
Managers split between guiding 78-question calls and typing notes, losing context at handoff. AI transcribes calls; they focus on the match.
Spreadsheets slowed staffing to eight weeks. AI agents now screen talent and automate contracts, cutting cycle times by 50%.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Quarterly compliance updates meant costly reshoots. Now scripts regenerate instantly — no cameras, no vendors, no delays.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.