Skip to content

Published 26 Jun 2026· via IBM· Customer story

IBM HR Transformation: AskHR conversational AI with multiagent orchestration

IBM · Other · United States

Headline result

>16M

user messages handled

As reported by the source; not independently verified.

Summary

IBM transformed HR support by consolidating 25 chatbots into a single AskHR interface for employees and managers.

Using IBM's AI assistant builder and generative AI, AskHR expanded from baseline HR Q&A into transaction execution and multiagent orchestration.

The system became the digital front door for HR transactions, supporting always-on self-service and backend execution for requests such as employee transfers and employment verification letters.

The problem

  1. 01HR responses were fragmented across 25 chatbots.
  2. 02First-line managers needed a single entry point for support.
  3. 03HR support needed automation for repeatable transactions.

What they built

  1. 01IBM used its AI assistant builder to create chatbots for baseline HR questions and then consolidated them into a single AskHR interface.
  2. 02The team added generative AI capabilities to expand AskHR's usefulness.
  3. 03AskHR was extended with transaction execution and multiagent orchestration so it could coordinate autonomous agents and complete HR tasks in backend systems.

Reported results

  1. 01AskHR improved internal CSAT from -35 to +74.
  2. 02It handled more than 16 million user messages in 2025.
  3. 03It facilitated about 90,000 employee transfers per year.
  4. 04AskHR became the single entry point for first-line managers and 85% of upline managers.
  • Unified HR support into a single digital front door
  • Enabled always-on HR self-service
  • Automated HR transactions in backend systems

Source

IBM

Customer story · 26 Jun 2026

How this deployment compares

Computed from the library · data 10 Nov 2026

IBM has 5 deployment records in the library, from 2024 to 2026. It is one of 28 AI agents deployments, 4 of them in Other.

IBM in the library

5 deployment records from IBM, 2024–2026

Same pattern, whole library

One of 28 AI agents deployments

  • Other accounts for 4 of them (14%), ranking #4 of 10 industries.
  • 16 records of this pattern came before it; 2 have been published since.
  • Only 8 of the 28 put a number on the result (29%).
  • Distinctive claim: Employee experience outcomes are reported by only 6 peers (21%).
Provider mix
  • Microsoft29%
  • AWS25%
  • GCP25%
  • IBM18%
Most-used technology
  • Azure OpenAI 5
  • Amazon Bedrock AgentCore 4
  • Microsoft Foundry 4
  • IBM watsonx Orchestrate 4
  • Gemini Enterprise Agent Platform 4
  • Gemini 4

Shares describe this library, not the whole market.

Results against peers

What peers report

  • Other quantified impact161 figures, all industries · middle half 25%–180%50%median increase
  • Productivity & throughput91 figures, all industries · middle half 25%–70%40%median increase
  • Cost savings10 figures, Other · middle half 31%–78%67%median reduction

Peer figures are as reported by their sources; percentage claims only.

How we checked this record

Evidence tier: supported

A credible source with a named customer, but not the organization's own account.

Named organization
IBM
Who published the source
The organization itself
Deployment status
The source does not say
Quantified result
The source reports at least one figure
Summary checked against source
5 / 5 agreement

Last re-checked 26 Jul 2026.

Same pattern, other organizations

All ai agents deployments
  1. 10 Jul 2026
    Tech & Comms

    Visma Success Story - AWS

    Visma · AI agents · AWS

    Visma needed a scalable way to apply generative AI and agent capabilities across more than 160 decentralized business units while maintaining governance and developer autonomy. Using Amazon Bedrock for production generative AI applications and agents at scale, Visma aligned AI work across product development, growth functions, and workforce enablement while keeping regulatory compliance and data security in place.

    AgenticScaled Production

    4,000 count
    employees upskilled
  2. 1 Jul 2026
    Other

    Blackroll builds an AI recovery coach with Gemini Enterprise Agent Platform on Google Cloud

    Blackroll · AI agents · GCP

    Blackroll needed to unify disconnected customer data and build an interactive AI coaching experience that updates guidance based on wearable signals. It consolidated e-commerce records and mobile app events into BigQuery, used Cloud SQL to ingest daily wearable data, and deployed a headless architecture on Cloud Run, Firestore, and Cloud Run functions. Using Gemini Enterprise Agent Platform and Agent Development Kit (ADK), Blackroll built autonomous coaching agents and used Agent Search to ground recommendations in verified scientific research and knowledge from its 5,000 physiotherapists. Antigravity was used to automate software development loops for faster implementation.

    AgenticProduction

    −20%
    software footprint reduction
  3. 29 Jun 2026
    Tech & Comms

    Kimi builds production AI agent infrastructure on Alibaba Cloud (ACK + ACS Agent Sandbox + Lindorm)

    Kimi · AI agents · Alibaba

    Kimi rolled out multiple agent-based products and built an end-to-end agent infrastructure with Alibaba Cloud to handle high-concurrency requests, fast sandbox startup, state preservation, secure isolation, and low-cost elastic scaling. The architecture combines Alibaba Cloud Container Service for Kubernetes (ACK), ACS Agent Sandbox, Lindorm multi-model database, MicroVM isolation, NetworkPolicy, and Fluid to support production AI agents and model training workloads.

    AgenticProduction

    −>50%
    sandbox startup time
  4. 29 Jun 2026
    Retail

    New Aim deploys 24/7 agentic operational agents with Gemini Enterprise Agent Platform

    New Aim · AI agents · GCP

    New Aim built an AI-native operating layer on Google Cloud to replace siloed spreadsheets and manual SKU/inventory calculations. It centralized transaction and logistics data in Cloud Storage and BigQuery, used BigQuery ML for demand and pricing models, and deployed 24/7 internal agents with Gemini Enterprise Agent Platform and Gemini Flash models. The system lets planners query complex metrics in plain English, keeps human-in-the-loop validation for qualitative adjustments, and runs applications on Cloud Run.

    AgenticProduction