Richard Owen Richard Owen

Scaling AI: From Pilots to Enterprise Impact.

Many organisations succeed with AI pilots but stall when trying to scale. In this edition, we explore how to move beyond proofs of concept and build a digital workforce that delivers impact enterprise-wide.

Many organisations succeed with AI pilots but stall when trying to scale. In this edition, we explore how to move beyond proofs of concept and build a digital workforce that delivers impact enterprise-wide.

Pilots are easy. Scaling is hard.

That’s the recurring theme we see with clients exploring Agentic Process Automation (APA). It’s relatively straightforward to prove a digital agent works in a single process. The real challenge is turning that success into an operating model, platform, and culture that can scale across the business.

So, how do you make the leap from pilot to enterprise-wide value?

Start with Anchor Processes.

The best APA programmes don’t scale by doing everything at once. They build momentum around “anchor processes” - critical, visible workflows where success has ripple effects. Examples from projects we've worked on include:

  • Healthcare: automating prior authorisation creates trust, then extends into scheduling and discharge.

  • Financial services: scaling from claims intake into fraud detection and reconciliation.

Anchor processes build credibility and executive sponsorship.

Create an APA Playbook.

Scaling requires consistency. A documented playbook ensures every new APA initiative follows common standards for:

  • Process selection

  • Governance and risk review

  • Data readiness checks

  • Human–agent interaction design

Without a playbook, every new project feels like a reinvention.

Build a Platform Mindset.

APA doesn’t scale through one-off builds. It scales when you treat agents, prompts, and integrations as reusable capabilities on a platform.

This means investing in:

  • Shared prompt libraries

  • Secure data pipelines

  • Common observability and monitoring tools

Invest in People and Change.

Scaling is less about tech and more about people. Your teams need to be trained, incentivised, and engaged to work alongside agents. Scaling APA requires a change programme, not just a tech roll-out.

Measure and Communicate Value.

Scaling will stall without clear evidence of success. That means tracking and sharing metrics that resonate at the C-suite level: faster cycle times, improved resilience, reduced errors, and compliance gains.

Celebrate early wins, show the data, and make APA part of the organisation’s story.

Conclusion.

Scaling APA requires more than proving the tech works. It’s about anchor processes, consistent playbooks, reusable platforms, human readiness, and clear evidence of value. Pilots prove the concept, but scaling proves the business case.

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Richard Owen Richard Owen

Measuring AI Process Automation Success: The Metrics That Matter.

AI Process Automation changes the way we work, but many organisations still measure it with outdated RPA-era metrics. In this article, we highlight the KPIs that capture APA’s real value - from decision velocity to resilience and learning.

Agentic Process Automation (APA) changes the way we work, but many organisations still measure it with outdated RPA-era metrics. In this edition, we highlight the KPIs that capture APA’s real value, from decision velocity to resilience and learning.

When we started working with RPA over a decade ago, the metric that mattered most to clients was hours saved. Organisations calculated full-time equivalent (FTE) reductions and used that as the primary justification for investment.

But fast-forward to today, through the APA projects we are working on with clients, we can see that APA is different. Agents are not just reducing work, they're reshaping how work gets done. If you’re still measuring APA like RPA, you’re undervaluing the impact and probably underreporting ROI.

So, what should you be measuring?

1. Decision Velocity

APA accelerates processes by removing decision bottlenecks. The right metric here is average decision cycle time: how quickly an agent can analyse data, act, and escalate if needed.

For example, we're working with a healthcare provider to create an APA that reduces prior authorisation approval time for radiology from 48 hours to under 4 hours, accelerating patient access to treatment.

Faster decisions means more throughput, happier customers, and quicker outcomes.

2. Capacity Gains

Rather than just FTE saved, measure incremental work handled without extra headcount. For example: how many additional patient records, claims, or transactions can be processed in the same time frame?

In a large Healthcare organisation we work with, digital agents process 20,000 additional prescription refill requests per week without adding staff, freeing clinicians for patient care.

This is the clearest way to show that APA extends your operational capacity.

3. Error Reduction

Agents don’t get tired or distracted. A key APA KPI we are seeing with clients in the Healthcare and Financial Services sectors is error rate reduction, especially for high-risk or regulated processes.

A financial services provider we are working with has seen reconciliation errors fall by over 75% when APA agents validate transactions across multiple ledgers in real time. Every avoided error has a financial, reputational, and compliance impact.

4. Resilience and Continuity

How well does your organisation handle spikes in demand, staff shortages, or unexpected events? Measure APA’s role in maintaining service levels during disruption. Resilience is increasingly a board-level concern.

5. Compliance and Audit Readiness

APA leaves a complete audit trail. KPIs here include percentage of decisions with traceable justification and time saved in compliance reporting. These metrics resonate strongly in regulated industries. For example, for an investment management firm, APA is ensuring every trade had a recorded justification aligned to MiFID II, reducing manual compliance checks by 60%.

6. Learning and Adaptability

The true hallmark of APA is continuous improvement. Track how agents learn over time - for instance, percentage of exceptions successfully handled on second pass or accuracy improvement from feedback loops. For example, at a UK NHS Trust, APA agents have improved discharge letter coding accuracy by 20% within 6 months, learning from clinician feedback loops.

Conclusion

Measuring APA success means looking beyond cost savings such as reduced FTEs. Decision velocity, capacity, error reduction, resilience, compliance, and learning are the metrics that prove APA’s strategic value.

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