NHS Trust AI Case Study: 18 Hours Per Week of Admin Capacity Recovered
An NHS Trust admin team was losing the equivalent of more than two full working days every week to manual, repetitive tasks that no one had redesigned since the systems they relied on had been introduced. AI-Si.com mapped the time-loss, redesigned the processes in plain English the team could follow without technical training, and recovered 18 hours a week of capacity that was redirected into patient-facing support.
Published 1 April 2026Last reviewed 21 April 2026By Simon Steggles· Fractional AI Director Birmingham, UK
18 hrs/wk
Admin time recovered
6
Time-consuming process categories redesigned
~40%
Admin time redirected to patient support
Zero
External patient data exposure
None
New hires required
2 days in-person
Training delivered
Who this is for:NHS trusts and healthcare bodies exploring AI in administrative workflows
Key takeaways
A two-week structured time-mapping exercise identified that 40% of admin capacity was being consumed by six repeatable process categories, none of which required clinical judgement.
Plain-English process redesign within the Trust's existing Microsoft 365 environment required no new software, no external AI services, and no patient data transfers of any kind.
18 hours per week of NHS admin capacity was recovered. No redundancies were made. No new software was installed. No patient identifiable data was processed through external services at any point.
A fear-reduction-first training approach and a designated internal AI champion ensured staff adoption held after the engagement concluded.
Organisation
NHS Trust admin team, ~25 staff
The challenge
The admin team supporting one of the Trust's clinical departments was stretched. Appointment letters, referral chasing, report collation and inbox triaging were all done manually, with each person carrying their own set of informal workarounds. No one had a clear view of how much time these tasks were actually consuming because the work had always been done that way.
Previous attempts to introduce new tools had created more complexity rather than less. Staff were worried that AI would add another layer they had to manage on top of existing pressures, or that it would be used to justify cutting headcount. The Trust's information governance team also needed to be confident that any changes were safe before anything went near patient-adjacent data.
How we approached it
We started with a structured time-mapping exercise across the team, asking each person to log tasks in fifteen-minute blocks over two weeks. The data revealed that around 40% of the team's working time was going into six repeatable process categories — none of which required clinical judgement but all of which were landing on clinical-support staff.
We then redesigned those six processes around AI-assisted drafting and structured inbox rules, writing every step in plain English so the team could follow, adapt and own the new process without needing a technical background. No bespoke software was installed and no patient identifiable data passed through any external AI tool — the entire redesign worked within the Trust's existing Microsoft 365 environment under the information governance team's sign-off.
A two-day in-person training programme followed, focused on fear reduction first and tool use second. We ran each person through the new workflow on their own tasks so they left with direct experience rather than a slide deck. A designated AI champion within the team was identified and briefed to handle questions in the weeks after.
The outcome
The six redesigned processes recovered 18 hours of admin capacity per week across the team — equivalent to reclaiming more than two full working days. That time was redirected into patient correspondence backlog and direct support for clinical staff, both of which had been on a waiting list for additional resource.
No roles were cut. The Trust used the recovered capacity to improve turnaround times on patient-facing tasks without increasing headcount. The information governance team confirmed the deployment met existing NHS data handling standards throughout.
"What made the difference for us was the way AI-SI worked with staff in plain English and kept the focus on pressures people actually feel day to day. There was no hype, just a clear look at where time was being lost and what could realistically be improved. Across one admin team alone, we are now saving about 18 hours a week, and that has helped relieve pressure and improve turnaround times."
Governance applied
Every AI-Si.com engagement bakes governance in from day one — these are the specific controls that sat behind this case study.
Information governance sign-off obtained before any workflow change touched patient-adjacent data.
Entire redesign delivered within existing Microsoft 365 environment — no new external tools or data transfers.
No patient identifiable data processed through external AI services at any point.
AI champion designated within the team to maintain oversight and field staff questions post-deployment.
Plain-English acceptable use guidance issued to all participating staff.
SS
Engagement led by
Simon Steggles — Fractional AI Director, AI-Si.com
Simon helps UK SMEs and councils put AI to work safely. Royal Navy 1984–90 (Cat 3 PV at the time, now superseded by DV); current NPPV3 Police vetting for public-sector work; ISACA AI Governance certified. Birmingham-based. Every engagement ships with governance baked in from day one.
Client identity anonymised at their request. Reference available on request.
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