How AI and SOAP Modernization Drive Digital Business Automation Success

September 27, 2025

AT A GLANCE

  • AI Acceleration Reshapes Workload Automation: The reality is that Service Orchestration and Automation Platforms (SOAP) modernization – and the evolution of Workload Automation into broader Digital Business Automation – isn’t just about stability or avoiding end-of-support; it represents a holistic shift in capability with annual 10× advances. Leaders who wait to embrace AI risk losing relevance.
  • Three Modern Leadership Mindsets Guide Adoption: Start Before You’re Ready, Burn the Blueprints, and “Fall 7 Stand 8” encourages quick trials, bold reinvention, and resilience. These habits transform uncertainty into gains that are measurable.
  • AI-Driven Automation Cuts Costs and Manual Effort: McKinsey estimates operating expenses drop by up to 25 percent when AI augments workflows. Broadcom’s vision replaces manual drudgery, letting teams focus on revenue-generating projects.
  • Adaptive Orchestration Tackles Multi-Cloud and Compliance Pressure: Expanding data pipelines, tight SLA windows, and strict audit requirements demand real-time coordination. Robust automation keeps resources balanced and risks contained.
  • Upgrading Beyond Catchup Creates Competitive Edge: Modernizing every solution across the stack doesn’t just prevent disruption – it compounds advantages, unlocking new features, freeing resources, and positioning organizations ahead of slower competitors.

I just wrapped Josh Linkner’s keynote at the Broadcom Automation Summit, where he called our era “a printing-press moment” and warned that anyone who dislikes change will “like irrelevance even less.”

His takeaway? AI’s 10× annual acceleration leaves no room for yesterday’s playbooks.

As Broadcom’s Automation GEO Partner of the Year, I’m taking that warning to heart and so should every organization that’s hunting real savings, faster SLAs, and rock-solid compliance.

Buckle up; I’ll break down the three mindsets you need next.

Mindset #1 – Start Before You’re Ready

Josh Linkner opened with a blunt reality check, quoting Eric Shinseki: people who dislike change will “like relevance even less.”

 

slide with Erik Shinseki quote “If you don’t like change, you’re going to like irrelevance even less,” introducing the Start Before You’re Ready mindset

His remedy is straightforward: start before you feel ready and refine as you go.

He proved the point with SignAI, a real-time sign-language translator his fund built by launching early and improving through mistakes.

I’m on board. At RMT we keep a running “to-test” list and run small, fast experiments, doubling down on winners and dropping duds.

Want in? Sketch a few low-cost trials, run them in a safe environment, collect the metrics, and review the results. Quick wins build momentum while early stumbles stay cheap.

Start now, learn fast, and let the data guide your next move.

Mindset #2 – Burn the Blueprints

“The problem with relying only on past experiences is that they apply to the world of the past,” Josh reminded us during the keynote. When Detroit unveils a new model year, yesterday’s design steps aside for the next release. That blank-page habit keeps cars fresh – and it works for automation, too.

So, question every “we’ve always done it this way” task.

Josh’s go-to tactic, the judo-flip, starts by listing the current approach, then testing the opposite. Sanofi, a global pharma leader, applied it to employee feedback: instead of a months-long manual review, the team pushed 9.1 million survey words through AI. Four hours later the CEO responded with clear themes and next steps.

Sanofi employee engagement survey - 90,000 team members, 409,000 comments, 9.1 million words for AI analysis

Bring that spirit to your scheduler. Swap old-school scripts for event-driven triggers or break a monolithic queue into microservices. 

Mindset #3 – Fall 7, Stand 8

Change stumbles. Leaders stumble too.

Josh points to a Japanese proverb: fall seven times, stand eight. In the AI rush, some pilots flop. The winners treat each miss as tuition and move again before the dust settles.

Consider April Koh. She pitched Spring Health to 110 investors, heard “no” 109 times, tuned her model after each meeting, then secured funding and grew into the youngest female CEO of a billion-dollar company.

Her loop of adjust, retry, succeed shows how persistence plus learning breeds outsized returns.

Josh’s own stage life backs the lesson. He admits hitting wrong notes during every jazz set, yet he’s confident he can continue because he practices recovery as hard as performance.

His mantra: it is not win or lose, it is win or learn.

I take that to heart when guiding Digital Business Automation projects. Experiments occasionally misfire, and that’s fine. We pause, ask what the data says, tweak the runbook, and press on. If we keep standing after each slip, our workflows get leaner, our teams get sharper, and our results keep improving.

RMT Advantage – Turning Mindsets into Outcomes

Companies turn to RMT for deployments, upgrades, and conversions to automation platforms like Automic because downtime is their biggest fear – and preparation is our strongest asset. We’ve handled these transitions so often, with proven frameworks and steady guidance, that what feels risky to others is simply familiar terrain to us.

My team wires these mindsets into every engagement.

1. Start Before You’re Ready: Instead of waiting for perfect conditions, we move early with controlled pilots, adjusting quickly as lessons surface.

2. Burn the Blueprints: We don’t cling to outdated schedules or rigid playbooks; we challenge them, creating space for smarter, tailored orchestration that keeps projects resilient.

3. Fall 7, Stand 8: We know that stumbling is part of innovation. Our focus isn’t blame but insight – using every lesson to reinforce the next iteration, so clients move forward with greater strength and confidence.

The reality is that Service Orchestration and Automation Platforms (SOAP) modernization – and the evolution of Workload Automation into broader Digital Business Automation – isn’t just about stability or avoiding end-of-support. It represents a holistic shift in capability.

When an organization modernizes solutions across the board – whether databases, workload automation, or any of the 100+ applications that touch daily operations – it’s not playing catchup anymore; it’s gaining a competitive edge.

Competitors who sit two versions behind are missing features that allow others to do more with less. Multiply that across every application, every workflow, and the culmination is immense. Each upgraded piece isn’t just stronger on its own – it fuels the whole organization to move faster, smarter, and ahead of the industry curve.

With modernization complete and that competitive edge in place, the organization can shift its focus beyond maintaining the foundation to scaling innovation. Freed-up resources can now be redirected toward expanding automation into other areas of the business, advancing new strategies, and increasing impact. That’s when an upgrade becomes more than a technical milestone – it becomes a pivotal moment for transformation.

Combine those habits with the goal we share with Broadcom to “say goodbye to manual drudgery,” and, backed by McKinsey’s 25 percent cost-cut figure, we turn talk into measurable savings.

This balance of agility and discipline is why clients trust RMT to guide their most critical automation initiatives.

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In this article:
AI’s rapid ten-fold growth demands new automation playbooks and the courage to scrap outdated scripts, because modernization not only transforms cost and compliance, but also gives organizations a decisive competitive edge as every upgraded stack unlocks new capabilities that competitors lack.
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