September 2026 Edition, published · The permanent record of that edition, superseded since. The current standing is on the category page →
Index › HR › Onboarding and employee experience › Frontline employee apps › Enterprise · September 2026 Edition

Frontline employee apps for enterprise buyers

Asked as “frontline employee communication app”, and as “deskless workforce app”, on behalf of an enterprise B2B company. 47 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
32%
Contested · Blink 21%
32Staffbase21Blink06Microsoft 365 for Frontline Workers40others

32% of first choices, contested.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all twelve models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01Staffbase32%9%44endorsed leader
02Blink21%6%47accepted challenger
03Microsoft 365 for Frontline Workers6%21%28accepted challenger
04MangoApps4%0%20accepted challenger
05WorkJam4%4%23accepted challenger
06Connecteam4%19%36accepted challenger
07Beekeeper4%23%26accepted challenger
08Flip2%20%10accepted challenger
09Workvivo2%23%13accepted challenger
Show the four products at 0%, ordered by negative rate
13WhatsApp Lab in the set0%100%10criticized challenger
12Slack0%82%11criticized challenger
11YOOBIC0%9%11accepted challenger
10Firstup0%6%17accepted challenger
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.

WhatsApp is made by Meta, whose model Llama 4 Maverick is in the set. On the four share prompts that model made it the first choice zero times of 4; the other eleven models zero times of 44. Lab treatment is defined on the method page; the row is marked, not excluded.

Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
All twenty-one head-to-head pages: the top seven products, each against each

Recommended versus criticized

Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.

Criticized challengerCriticized default
Negative label rate →
01
02
03
04
05
06
07
08
09
10
11
12
13
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Staffbase32%
02Blink21%
03Microsoft 365 for Frontline Workers6%
04MangoApps4%
05WorkJam4%
06Connecteam4%
07Beekeeper4%
08Flip2%
09Workvivo2%
10Firstup0%
11YOOBIC0%
12Slack0%
13WhatsApp0%

What they warned about

Two of twelve models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Grok 4.20, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, GLM 4.7 FlashX and MiniMax M2.5 changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
WhatsApp
100%
10 of 10 labels negative · 10 of 12 models · 10 hard negative
“large enterprises should be cautious about using consumer-grade messaging apps like WhatsApp, Signal, and Telegram, as they are not suited for the workplace and can pose security risks” Llama 4 Maverick, negative prompt
Signal
100%
9 of 9 labels negative · 9 of 12 models · 9 hard negative
“consumer-grade messaging apps like WhatsApp, Signal, and Telegram, as they are not suited for the workplace and can pose security risks” Llama 4 Maverick, negative prompt
Telegram
100%
8 of 8 labels negative · 8 of 12 models · 8 hard negative
“consumer-grade messaging apps like WhatsApp, Signal, and Telegram, as they are not suited for the workplace and can pose security risks” Llama 4 Maverick, negative prompt
Facebook Messenger
100%
6 of 6 labels negative · 6 of 12 models · 6 hard negative
“Historical data flagged apps like WhatsApp Messenger and Facebook Messenger as having high data leakage risks.” Claude Haiku 4.5, negative prompt

What they cite

Twelve of the twelve models returned a source list in this edition: four return the pages they cited and eight the search results they consulted.

Sites the answers cite

71 of 72 answers in this category came back with a source list, from 12 of 12 models: citations where the model returns them, or the search results it consulted. 1083 links across 292 sites, every framing counted. Ranked by the number of answers carrying the site or page.

vendor site · MangoApps50 answers · 94 citations · 12 models
40 answers · 72 citations · 11 models
vendor site · Staffbase32 answers · 46 citations · 12 models
vendor site · Guideflow31 answers · 40 citations · 11 models
vendor site · RedeApp30 answers · 31 citations · 10 models
vendor site · ChangeEngine25 answers · 27 citations · 10 models
20 answers · 22 citations · 9 models
19 answers · 26 citations · 10 models
vendor site · G217 answers · 28 citations · 8 models
16 answers · 17 citations · 9 models
vendor site · Sociabble16 answers · 16 citations · 7 models
15 answers · 15 citations · 8 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

Search against answers

Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best frontline employee communication app”, “frontline apps”, “frontline employee communication app”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
Company and productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
Staffbase staffbase.com32%1841,9004636,25644
Blink joinblink.com21%173201,00096,47917,40048
UKG Workforce Central ukg.com
UKG Pro Workforce Management 6%, UKG Workforce Central 2%
9%2677204310,168$11,996120
Microsoft 365 for frontline microsoft.com
Microsoft 365 for Frontline Workers 6%
6%85907145,358,109$12,455103
MangoApps mangoapps.com4%7572038,205$24122
WorkJam workjam.com4%6818,10035712,1263
Connecteam connecteam.com4%69349,500288312,449$13,5041202
Beekeeper lumapps.com4%8674,00010,29326,580$15844
Flip getflip.com2%21246,000174,0354,011$27443
Workvivo workvivo.com2%15414,80015018,766$549459

Google's top ten for the three searches hold 22 sites; 4 of them are among the sites the models cited here (changeengine.com, getflip.com, joinblink.com, peoplemanagingpeople.com). The first result for “best frontline employee communication app” is peoplemanagingpeople.com.

How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHide
ModelDirect“What is the best frontline employee communication app for an enterprise B2B company?”Paraphrase“Which deskless workforce app would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade frontline apps and how do they differ?”Budget-constrained“What is the best frontline employee communication app for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a frontline employee communication app. What should we look at?”Negative“Which frontline apps should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Blink, Staffbase
One alternativeConnecteam
StaffbaseChanged
Three alternativesBlink, Oracle Fusion Deskless Workforce, SAP Deskless Worker Experience
MangoApps
Two alternativesBlink, Staffbase
Blink
One alternativeMangoApps
no first choiceagainst: Microsoft 365 for Frontline Workersagainst: Facebook Messenger, WhatsApp
GPT-5.4 miniStaffbase
One alternativeMicrosoft's frontline stack
Microsoft 365 for Frontline WorkersChanged
Two alternativesConnecteam, Workday Frontline
Microsoft 365 for Frontline Workers
Five alternativesBeekeeper, Firstup, Staffbase, UKG Pro Workforce Management, Workday Workforce Management
against: Connecteam
Staffbase
Two alternativesFirstup, Workvivo
no first choicenothing named
Gemini 3.5 FlashBeekeeper
Four alternativesBlink, MangoApps, Microsoft 365 for Frontline Workers, Staffbase
MangoApps, WorkJam, WorkvivoChangedagainst: Microsoft 365 for Frontline Workers, SlackBeekeeper, LumApps
Five alternativesBlink, Connecteam, MangoApps, Staffbase, WorkJam
against: Microsoft 365 for Frontline Workers, Slack
Flip, Staffbase
Four alternativesConnecteam, Google Workspace, Microsoft 365 for Frontline Workers, WorkJam
against: Slack
no first choiceagainst: Signal, Telegram, WeChat, WhatsApp, iMessage
Perplexity SonarStaffbase
Three alternativesBlink, Connecteam, WorkJam
StaffbaseHeld
Three alternativesADP WorkForce Software, Blink, Workday
no first choiceConnecteam, Staffbase
One alternativeBlink
no first choiceagainst: Microsoft 365 for Frontline Workers, Signal, Slack, Telegram, WhatsApp
Grok 4.20Staffbase
Two alternativesBlink, Workvivo
UKG Pro Workforce ManagementChanged
Three alternativesADP WorkForce Suite, Quinyx, WorkJam
against: Blink, Connecteam, Deputy, Oracle HCM Cloud, Skedulo
UKG Pro Workforce Management, Workday
Five alternativesDayforce, Oracle HCM Cloud, SAP SuccessFactors, ServiceNow, WorkJam
against: Beekeeper, Connecteam, Workforce.com
Microsoft 365 for Frontline Workers
One alternativeBlink
against: Beekeeper, Connecteam, LumApps, Slack, Staffbase, Workplace, Workvivo
Blink
Four alternativesBeekeeper, Connecteam, Staffbase, WorkJam
against: Facebook Messenger, Microsoft 365 for Frontline Workers, Signal, Slack, Telegram, TikTok, WeChat, WhatsApp, iMessage
Mistral SmallBlink, Sociabble
Two alternativesFirstup, Staffbase
ADP WorkForce Software, SkeduloChanged
Two alternativesBlink, MangoApps
Staffbase
Six alternativesBeekeeper, Blink, Connecteam, Firstup, MangoApps, WorkJam
against: Workday
Blinkno first choiceagainst: Beekeeper, Blink, Box, Connecteam, Dropbox, Facebook Messenger, Flip, Google Drive, LivePerson AI, OneDrive, Perplexity AI, Poe, Signal, Staffbase, Telegram, WhatsApp, YOOBIC
DeepSeek V4 FlashStaffbase
Three alternativesBlink, MangoApps, Microsoft 365 for Frontline Workers
against: Beekeeper
UKG Pro Workforce ManagementChanged
Six alternativesBlink, Dayforce, SAP SuccessFactors, Staffbase, WorkForce Software, Workday HCM
no first choiceagainst: Connecteam, Haiilo, Poppulo, Simpplr, UnilyBlink
One alternativeMicrosoft 365 for Frontline Workers
against: WorkJam
no first choiceagainst: Signal, WeChat, WhatsApp
Llama 4 MaverickConnecteam
Two alternativesBlink, MangoApps
Blink, Simpplr, StaffbaseChangedno first choiceno first choiceno first choiceagainst: Signal, Telegram, WhatsApp
Qwen 3.7 FlashMangoApps
Three alternativesBlink, Staffbase, WorkJam
Microsoft 365 for Frontline Workers, UKG Pro Workforce ManagementChanged
Two alternativesBlink, Skedulo
no first choice
Six alternativesConnecteam, Dayforce, Deputy, Microsoft 365 for Frontline Workers, Skedulo, UKG Pro Workforce Management
Blink
Two alternativesConnecteam, Staffbase
no first choiceagainst: Beekeeper, Connecteam, Deputy, Discord, Flip, SharePoint, Slack, Viva Connections, When I Work
Kimi K2Staffbase
Two alternativesBlink, Connecteam
StaffbaseHeld
Two alternativesBeekeeper, Blink
no first choiceWorkJam
One alternativeConnecteam
against: Blink, Speakap, Staffbase, Workvivo
no first choiceagainst: Dropbox, Facebook Messenger, Google Drive, OneDrive, Signal, Telegram, WeChat, WhatsApp, iCloud
GLM 4.7 FlashXBeekeeper
Seven alternativesConnecteam, Crew Check, Staffbase, WorkJam, Workvivo, YOOBIC, Yourco
UKG Workforce CentralChanged
Ten alternativesBlink, Connecteam, Dayforce, IFS Cloud Field Service Management, Microsoft Dynamics 365 Field Service, NICE IEX WFM, Quinyx, Speakap, Staffbase, WorkForce Software
MangoApps, WorkJam
Six alternativesBeekeeper, BuildOps, Connecteam, Microsoft 365 for Frontline Workers, Staffbase, Workday
Microsoft Viva
Two alternativesBlink, Connecteam
against: Beekeeper, Firstup, Staffbase, Workvivo
no first choiceagainst: Bumble, Discord, Facebook, Facebook Messenger, Google Chat, Hinge, Instagram, Pinterest, Reddit, Signal, Slack, Snapchat, Telegram, TikTok, Tinder, Twitter, WeChat, WhatsApp, iMessage
MiniMax M2.5Staffbase
Three alternativesBlink, Firstup, MangoApps
Blink, StaffbaseChanged
Three alternativesConnecteam, UKG Pro Workforce Management, WorkForce Software
Connecteam, MangoApps, WorkJam, YOOBIC
Six alternativesBeekeeper, Firstup, Flip, Microsoft 365 for Frontline Workers, Speakap, Staffbase
Blink
Two alternativesMicrosoft 365 for Frontline Workers, RedeApp
no first choiceagainst: Discord, Facebook Messenger, Microsoft 365 for Frontline Workers, Signal, Slack, Telegram, WhatsApp
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Seventy-two rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 19:23yes99 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 21:27yes35 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-09-17 22:00yes1861 s
Direct recommendationPerplexity Sonarsonar2026-09-17 20:21yes206 s
Direct recommendationGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-17 21:25yes3718 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-09-17 19:00yes129 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 19:09yes2229 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 19:59yes52 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 19:43yes732 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-09-17 18:29yes916 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 21:08yes2453 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 18:57yes1548 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 19:35yes1710 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 21:15yes47 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-09-17 22:08yes2156 s
ParaphrasePerplexity Sonarsonar2026-09-17 21:11yes205 s
ParaphraseGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-17 18:21yes3722 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-09-17 18:13yes98 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 20:04yes1719 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 20:49yes52 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 19:58yes1339 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-09-17 20:08yes1439 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 20:26yes23101 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 18:28yes746 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 18:10yes99 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 19:33yes38 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-09-17 19:50yes2131 s
ComparativePerplexity Sonarsonar2026-09-17 21:26yes209 s
ComparativeGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-17 21:01yes2516 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-09-17 18:30yes812 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 21:18yes1926 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 19:07yes53 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 21:28yes530 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-09-17 18:10yes928 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 21:46yes1248 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 18:10yes557 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 18:55yes1813 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 19:12yes35 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-17 21:57yes2354 s
Budget constrainedPerplexity Sonarsonar2026-09-17 20:37yes206 s
Budget constrainedGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-17 19:10yes4622 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-09-17 19:54yes54 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-17 18:10yes3053 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 20:51yes53 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 19:56yes545 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-17 20:56yes2433 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 20:58yes2769 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 20:21yes2067 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 20:12yes1514 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 21:28yes48 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-17 18:18yes826 s
Scale constrainedPerplexity Sonarsonar2026-09-17 19:04yes2010 s
Scale constrainedGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-17 18:33yes1914 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-09-17 18:06no08 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 21:16yes2525 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 18:37yes55 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 20:48yes533 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-17 21:45yes1430 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 20:42yes1550 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 20:53yes1224 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-09-17 20:51yes98 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-17 21:25yes67 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-09-17 22:00yes1055 s
Negative framingPerplexity Sonarsonar2026-09-17 18:19yes208 s
Negative framingGrok 4.20spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version)2026-09-17 21:25yes3520 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-09-17 21:20yes1412 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-17 20:39yes2827 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-17 21:03yes53 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-17 20:18yes1564 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-09-17 20:03yes2938 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-17 20:18yes2788 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-17 19:53yes826 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

ShowHide
Category-scoped readings
Ceridian Dayforce read as Dayforce
MS Teams read as Microsoft 365 for Frontline Workers
Microsoft read as Microsoft 365 for Frontline Workers
Microsoft 365 for frontline read as Microsoft 365 for Frontline Workers
Microsoft Teams read as Microsoft 365 for Frontline Workers
Microsoft Teams (Frontline Edition) read as Microsoft 365 for Frontline Workers
Microsoft Teams (Frontline Worker SKU) read as Microsoft 365 for Frontline Workers
Microsoft Teams (Frontline Workers) read as Microsoft 365 for Frontline Workers
Microsoft Teams (Frontline) read as Microsoft 365 for Frontline Workers
Microsoft Teams Frontline Worker read as Microsoft 365 for Frontline Workers
Microsoft Teams for Frontline Workers read as Microsoft 365 for Frontline Workers
Teams Frontline read as Microsoft 365 for Frontline Workers
UKG read as UKG Pro Workforce Management
UKG (Ultimate Kronos Group) read as UKG Pro Workforce Management
UKG Pro read as UKG Pro Workforce Management
UKG Pro (formerly Kronos/UltiPro) read as UKG Pro Workforce Management
Unresolved, counted raw
Agentforce Field Service (formerly Salesforce Field Service)
BuildOps
FIELDBOSS
Hinge
IFS Cloud Field Service Management
LivePerson AI
Microsoft Dynamics 365 Field Service
Microsoft's frontline stack
Perplexity AI
Poe
SAP Deskless Worker Experience
Workday Frontline
iCloud
Discontinued, still offered
No shut-down product was recommended here.
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