Full Throttle: How AI Overcomes Internal Process Drag

Earlier this month we asked our community a simple question: What's the biggest roadblock in your organisation right now? The responses were telling.

More than half of respondents - 53%, pointed to internal processes as their number one pain point. Outdated systems came in second at 21%, followed by vendor and partner issues at 16%, and skills shortages at 11%.

The results don't surprise us. In our experience working with businesses across retail, logistics and beyond, it's rarely a lack of ambition that holds organisations back. It's the friction that builds up beneath the surface, the approval chains that take too long, the manual reporting that eats up half a Monday morning, the onboarding process nobody has quite got around to fixing. These things compound quietly, and before long, they're shaping what's possible.

The internal process problem

Internal processes topping the poll is significant. It's a broad category, but what sits behind it tends to be consistent: workflows built for a different era, information siloed across teams, and a reliance on manual steps that were never meant to be permanent. Most organisations know where the bottlenecks are. The challenge is finding the time and resource to address them while keeping everything else moving.

This is where AI is beginning to make a genuine difference, not in a sweeping, replace-everything sense, but in targeted, practical ways that free people up to do better work.

Where AI is removing the friction

Tools like Claude, built by Anthropic, are increasingly being used inside organisations to tackle exactly the kind of sticky process problems our poll surfaced. The use cases are often unglamorous but high-impact: summarising lengthy documents, drafting internal communications, triaging support queries, extracting key information from reports, or helping teams navigate complex internal knowledge bases more quickly.

Many of the wins are incremental, shaving time off tasks that happen dozens of times a week, reducing the back-and-forth that slows decisions down, and giving teams answers faster than a search through shared drives ever could.

For organisations dealing with outdated systems, the 21% who flagged this, AI can also act as a practical bridge. Rather than waiting for a full system overhaul, AI tools can sit on top of existing infrastructure and make legacy data more accessible, automate the manual steps that creaky systems require, and reduce the human effort needed to keep things running while longer-term modernisation takes shape.

The human side of it

It's worth noting that skills shortages came in at 11% in our poll, and AI has a role to play here too. Not in replacing people, but in amplifying what existing teams can do. When repetitive or time-consuming tasks are handled by AI, skilled people can focus on the work that genuinely requires their judgement, creativity and relationships. That's a meaningful shift for any organisation trying to do more with the same headcount.

Where does this leave us?

The poll results paint a familiar picture, one we see reflected in conversations with clients regularly. The barriers to progress are rarely dramatic. They're the accumulated weight of processes that haven't kept pace, systems that were never quite right for the job, and teams stretched too thin to step back and fix things properly.

AI won't solve all of that overnight. But applied thoughtfully, it can remove enough friction to give organisations the momentum they've been missing.

If any of this resonates with where your business is right now, we'd love to talk.

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