Automation Anywhere

Automation Anywhere Enterprise AI Agents for every business process. https://linktr.ee/automationanywhere
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The economics of IT are shifting. Agentic AI isn't just changing how work gets done; it's changing how IT justifies its ...
06/23/2026

The economics of IT are shifting. Agentic AI isn't just changing how work gets done; it's changing how IT justifies its budget, structures its teams, and negotiates vendor contracts.

On July 16, we’re hosting the next installment of its Agentic AI for IT webinar series, welcoming Forrester Principal Analyst Julie Mohr back as a guest. Last year, she helped cut through implementation hype. This year, the series moves past that: the organizations that acted are seeing results, Forrester has fresh data on how they compare to those still in pilot mode, and the gap between those two groups is growing.

The session also covers how agentic AI is expanding beyond ITSM into infrastructure and security. The architecture decisions IT leaders make now will set their trajectory for years.

For CIOs deciding where their organizations sit on that curve, this is where the conversation needs to be.

Register here: https://ow.ly/B4Gy50ZfWH1

06/22/2026

Every CIO is facing the same five choices right now.

Wait. Build in-house. Buy a point solution. Bet on a hyperscaler. Go agentic first, where AI owns work end to end and people become the final authority.

Four of those choices give you better tools; one changes how your organization works.
Kapil Vyas made the fifth choice at Automation Anywhere as customer zero: he restructured how work gets done in his own organization before advising others on the transition. He measures the result on two dimensions: autonomy and productivity.

"The winners won't be the ones who AI first. They will be the ones who delegated work to it the fastest."

He is presenting the blueprint at the GBI CIO Summit in New York on June 25th: the maturity model, operating pillars, hybrid workforce framework, and value scorecard for building an Autonomous Enterprise.

See you there! https://ow.ly/P8yM50ZfiiR

06/19/2026

93% faster.

That's how much quicker families in need now receive food support after The Church of Jesus Christ of Latter-day Saints automated the reconciliation step between local leaders and retailers across 21 countries.

The starting point was South Africa. A local leader submits an order; a retailer sends back what it has. The two lists rarely match; manageable at one location, but across 21 countries in PDFs, Excel files, and emails, with retailers ranging from local shops in Peru to large grocery chains, it became the kind of back-office burden that slows the work it is supposed to support.

Automation Anywhere handled the reconciliation and payment processing. The church is now working toward end-to-end automation with major retailers: order entry through home delivery, without manual steps between.

Families receive food measurably faster: a 93% improvement in time to support. And 33,000 volunteer leaders across 187 countries, running local units alongside their regular work, spend less time on paperwork and more time with their communities.

If you were measuring automation ROI in outcomes rather than efficiency metrics, what would your top measure be?

Watch Travis Green share the full story.

06/18/2026

Manish Sharma, Chief Strategy & Services Officer at Accenture, believes technology should be proven in practice internally before it’s recommended to clients.

As a leader in enterprise reinvention, what works inside Accenture’s walls has already been tested in real-world conditions.

Manish calls it "Customer Zero" and that’s exactly how The Automation Anywhere partnership started. We haven’t stood still and together we're scaling agentic AI with our customers.

Clip from Imagine 2026, in conversation with our COO Ankur Kothari. Watch the full keynote session on demand: https://ow.ly/SiBG50Zencg

Customer support teams are trapped in cycles of manual triage, repetitive responses, and disconnected systems; even adva...
06/17/2026

Customer support teams are trapped in cycles of manual triage, repetitive responses, and disconnected systems; even advanced ticketing platforms can't eliminate the human bottleneck.
See intelligent AI agents handle the complete support lifecycle in real time, from ticket intake to resolution, with zero coding required.

Register for the June 25 demo to see AI agents process real support tickets, pre-configured for immediate deployment: https://ow.ly/QyJ150ZcVJ5

06/16/2026

Hertz turned a Thursday question into a Monday solution.

Fleet vehicles end up at body shops and tow yards. Without visibility, surprise repair costs go unchecked and inventory disappears, at Hertz's scale, the impact can be in the millions.
Hertz tracked around 4,500 geofenced locations, each added manually after a car was found somewhere unmapped. Getting to comprehensive coverage that way had no realistic endpoint.

On a Thursday, Shanu Kommula's team asked whether automation could close the gap. By Friday evening, a web scraping agent was running. By Monday morning, it had returned 150,000 addresses, each with the latitude and longitude coordinates needed for geofencing.
Entering addresses individually would have taken weeks or months by the team's estimate; the agent did it over a weekend.

Hertz runs AI agents across fleet operations, finance, compliance, and revenue management. A Thursday problem becomes a Friday proof-of-concept when the operating model is already built to move that fast.

Most enterprise AI programs right now share the same problem: absorbing significant infrastructure costs to generate 5–1...
06/15/2026

Most enterprise AI programs right now share the same problem: absorbing significant infrastructure costs to generate 5–10% efficiency gains from workflows that haven't fundamentally changed.

That's subsidizing the existing model, not transforming it.

Our CEO Mihir Shukla's take on what genuine transformation actually requires, in Techstrong AI: https://ow.ly/MR2k50ZbRSL

Huge congratulations to Shreya Kumar, Vineet Pujari, Arjun S Meda, and Ankan Mondal, who won first prize at DeployFest H...
06/12/2026

Huge congratulations to Shreya Kumar, Vineet Pujari, Arjun S Meda, and Ankan Mondal, who won first prize at DeployFest Hackathon 2026, hosted by Google Developer Group Cloud! 🏆

GDG Cloud Bengaluru's GenAI buildathon handed them a problem statement at 9:45am. Seven hours later, they had a live financial automation agent on GCP, complete with human-in-the-loop review and audit logs, running in production.

This is exactly what we love to see. Congrats, team!

Automation Anywhere has been recognized at the 2nd Annual 2026 Globee® Awards for Artificial Intelligence, in the Most I...
06/11/2026

Automation Anywhere has been recognized at the 2nd Annual 2026 Globee® Awards for Artificial Intelligence, in the Most Innovative AI-Powered Customer Experience Solution category.

And this one means a lot, because it's about our own innovation. Our team applied our own Agentic AI technology to reshape how we serve customers: faster resolutions, smarter workflows, and experiences designed around people, not process.

Being recognized for using our own technology to do this makes the win count twice.
A well-deserved recognition for our customer support team.

450 million agents and automations, running for some of the largest companies on the planet.From that vantage point, our...
06/11/2026

450 million agents and automations, running for some of the largest companies on the planet.

From that vantage point, our CEO, Mihir Shukla told Automation Today that most enterprises are still asking the wrong AI question. The question, he argues, isn't which use case delivers ROI but what the enterprise AI strategy should be, because incremental wins won't satisfy boards expecting exponential results.

The trap Mihir describes is structural. Copilots improve individuals, not operations. Agents locked inside one vendor's platform inherit that platform's limits. And decades of SaaS buying created what he calls a toll booth economy: every increase in scale means paying every vendor a little more.

The alternative is the Autonomous Enterprise: a target of 80% of work autonomous or AI-assisted, orchestration that coordinates agents across applications instead of multiplying licenses, and a workforce point he's explicit about: the model doesn't mean fewer people, it means every employee can be three times more productive.

Full interview in Automation Today: https://ow.ly/VlOY50ZajAQ

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