Pilots are easy but operationalizing AI is the hard part

This month: proof from a regional bank that validated a 600-loan application backlog 9x faster with agentic AI, why Forward Deployed Engineering is the missing layer most AI operating models lack (and how to prepare your workforce for it), and a live webinar on making migration decisions that actually hold up.

▶ FEATURED | SUCCESS STORY

How a Regional Bank Automated Loan Validation with Agentic AI

A regional bank was staring down a 600-loan validation backlog, roughly 300 hours of manual work and close to two months of clients waiting in the queue. See how a purpose-built AI agent cleared 15% of that backlog overnight and ran nine times faster than manual review.

Read the case study →

▶ LIVE WEBINAR | JUNE 11 at 10:00 AM

Migration Decisions That Hold Up

Agentic AI is changing what automation platforms can do. New capabilities, new pricing models, and new architectures are driving technology stack modernization and emerging technology adoption up the agenda for CoE leaders across every industry.

The pressure to modernize is there, but platform migrations are high-cost initiatives that rarely create immediate net-new value on their own. This webinar is built to help leaders understand the considerations, research, and planning required for a successful automation platform migration. And how to create net new value along the way.

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▶ THOUGHT LEADERSHIP

Preparing Your Workforce for Agentic AI:

Forward Deployed Engineering (FDE)

With 93% of enterprises stuck in AI pilot purgatory, the missing layer is not bigger budgets or better models. Managing Director Jeffrey Brown makes the case for Forward Deployed Engineering and why redesigning the process, building multidisciplinary teams, and putting people readiness first separate the firms that scale from the ones that stall.

Read Ashling Unfiltered →

ARTICLE

Automation & AI Opportunities in Food Manufacturing

Australia's leading food and beverage manufacturers are asking sharp questions about AI, and the ones pulling ahead are not the ones with the most tools. Charley Vokoun breaks down where the highest-value opportunities actually cluster and shares results like 75% of manual orders now processed digitally and ROI within 10 months.

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▶ ROADMAP REPORT

Celonis Context Model & Ikigai Labs

Celonis is evolving from a process intelligence platform into an enterprise AI context layer, and the Ikigai Labs acquisition signals the shift from historical insight to prediction, simulation, and planning. Applied AI Manager Farzan Tavakoli unpacks what the Context Model means for your roadmap and the questions to bring to your next process intelligence conversation.

Read the report →

Ashling ouvre un bureau à Montréal pour accélérer l’adoption de l’IA et la productivité des entreprises québécoises

▶ PRESS

Ashling Expands Presence in Canada with a New Montréal Office

Ashling has opened its Montréal office, its first dedicated presence in Québec and a long-term commitment to helping local enterprises move from AI experimentation to measurable productivity gains. Led by Client Principal Nicolas Payeur and a bilingual team, the office anchors Ashling's AI and automation work across the province and its continued growth in Canada.

Read press release →

BOOK A WORKSHOP

Have a use case in mind? Let's pressure-test it.

Bring us 3 - 5 processes you're considering for automation and agentic AI. We'll run them through the framework with you and tell you whether it's worth building, what it would take, and what to do instead if it isn't.

Book a virtual workshop →

A global intelligent automation and agentic AI consulting and implementation firm.

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