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Dispute resolution at a leading UK ombudsman, under Ctrl

Discover how a leading UK ombudsman scheme uses Ctrl AI to save up to seven hours per case and projects a 60% uplift in team productivity.

The challenges faced by ombudsmen

A leading UK ombudsman scheme oversees thousands of consumer disputes a year against a regulated member base. Rising volumes and increasingly long, AI-drafted consumer submissions were pushing cycle times in the wrong direction. The scheme adopted Ctrl AI – the AI-powered dispute resolution platform – to keep pace with rising case volumes, without compromising on decision quality. Three pressures converged on the scheme through 2025: rising case volumes, AI-drafted consumer submissions and the need for consistency under pressure.

Three pressures on ombudsman schemes: rising case volumes outpacing headcount, AI-drafted consumer submissions that take hours to unpick, and keeping decisions consistent across a team handling hundreds of cases a quarter.

Why the scheme chose Ctrl AI

The scheme had weighed the alternatives every chief ombudsman considers – doing nothing, generic AI tools, an in-house build, or waiting for the case management vendor to add AI. None were credible at the volume trajectory and none were regulator-defensible. Ctrl AI was the only option that was live in peer schemes, purpose-built for the neutral side of dispute resolution and aligned with the regulatory bar a chief ombudsman has to meet. The scheme was also clear from the outset that a human had to remain in the loop, with final decision-making authority on every output.

The Ctrl AI process in five steps: document ingestion, structured evidence analysis, framework assessment against your own playbooks, drafting case outputs in your house style, and a full audit trail with traceability.

The outcomes of adopting Ctrl AI

Ctrl AI was deployed across five points in the casework process – outlined above – compressing the work that does not require handler judgement and freeing handlers for the judgement work only they can do. Within weeks of going live, the scheme was handling more cases, faster, with the same handler team. Ctrl AI helped them save up to seven hours per case and the scheme projects a 60% uplift in team productivity.

Instant scope identification

Out-of-remit cases are flagged automatically at intake, with the reason cited against the relevant rule. Out-of-scope cases are identified upfront, before they consume handler time. The response back to the consumer is fast, clear and defensible and casework capacity is focused where it matters.

ADR schemes – neutral

AI-powered case timeline

Every document in the case file is ingested, every event extracted, a clear chronology produced from day one. 55-page AI-generated grievances are reduced to an easy-to-read summary; matters are understood in minutes, not days.

Faster cases.
Same quality of decision

Consistent assessment against the playbook

Structured assessments run against the scheme’s knowledge base, with every recommendation citing its evidence and its scheme rule. The same case gets the same assessment regardless of who is handling it or when.

Same case, same answer.
Every time

Accelerated document generation

First drafts of letters, summaries and determinations are produced from the scheme’s templates in seconds. Handlers review and edit rather than write from scratch – saving hours per case on work that does not require their judgement. Those hours are reinvested in the judgement work only handlers can do.

Auditable end-to-end.
Regulator-ready by design

Client testimonial

What’s really got us excited is that human judgement is at the centre of the tool and the potential to strengthen quality and consistency. It’s not a decision-making tool, but one that provides structure and clarity to cases, especially in the era of AI-generated consumer contact.
Chief Ombudsman — Leading UK Ombudsman Scheme