Solution Database / Operations
Shift Cover Agent
A team leader spends stressful hours phoning off-duty staff to cover a sick shift, and gaps often go unfilled. The only cover system that combines live rota data, legal working-time rules and automated candidate messaging in one flow, so managers see a confirmed replacement or an alert without touching a phone.
01The offer
For operations managers at care homes and hospitality groups, turn live rota data, staff qualifications and working-time rules into a confirmed replacement or an early alert when cover is impossible. Address the recurring problem: a team leader spends stressful hours phoning off-duty staff to cover a sick shift, and gaps often go unfilled. The value hypothesis is faster, compliant cover with less manager time; the pilot must establish whether that benefit is real.
- For
- Operations managers at care homes and hospitality groups
- Takes in
- Live rota data, staff qualifications, working-time rules and sickness reports
- Delivers
- Confirmed replacement or an early alert when cover is impossible, plus a full message and response log
- Message
- Never phone around for cover again: get a confirmed replacement or an early alert, automatically and compliantly.
- Lead magnet
- A free cover-rate audit: we analyse one month of your rota and absence data and show you how many shifts went unfilled and how much manager time was spent on phone calls.
02How it works
- Import and refresh rota data from a spreadsheet or API
- Filter off-duty staff by required qualifications and legal working-time limits
- Rank candidates by priority rules such as recency and fairness
- Send personalised shift offers via SMS or WhatsApp with a one-tap accept link
- Automatically retry the next candidate after a decline or timeout
- Notify the manager only when cover is confirmed or all options are exhausted
Workflow
Staff report sickness via form or SMS, the agent pulls the live rota, filters by role and legal rules, ranks candidates, sends an offer to the first match, waits for a response, moves to the next candidate if needed, and notifies the manager with a confirmed cover or an alert. Start with live rota data, staff qualifications and working-time rules and finish with a confirmed replacement or an early alert when cover is impossible.
AI and people
Use language models to parse free-text sickness reports and generate personalised shift offer messages. Use rule-based logic to check qualifications and working-time limits against structured rota data. A manager reviews the candidate ranking and message log before any offer is sent, and confirms the final cover or alert.
Screens
Key screens: Sickness report form, candidate queue, cover log. Use a simple form for staff to report absence, a central queue showing ranked candidates with their qualifications and recent shifts, and a log of all messages sent and responses. Display candidate status as pending, accepted, declined or expired. Provide a manager summary dashboard showing cover rates and response times. In this product, the first view is sickness report form, followed by candidate queue and cover log.
Admin
Manager accounts, rota data versioning, candidate ranking rules, message templates, approval of offers, audit trail of all attempts and responses, and a daily summary report.
03Market gap
Alternatives buyers use today
Manual phone calls down a list of off-duty staff, shared spreadsheets, or group chat messages. This differs by automating the entire sequence from sickness report to confirmed cover, with compliance checks built in at every step.
Where this wins
The more rota data, qualification records and working-time rules we ingest, the more accurate the candidate ranking becomes, and the harder it is for a new entrant to match the compliance confidence and response-time track record.
04Why now
Operations teams are adopting AI for exactly this kind of repeatable work, and the cost of language and vision models has dropped far enough that a narrow, reviewed workflow pays back quickly. The buyer already feels the problem: a team leader spends stressful hours phoning off-duty staff to cover a sick shift, and gaps often go unfilled.
05Proof & signals
Channels where buyers gather: Care home operations conferences, hospitality management forums, LinkedIn groups for rota managers, and direct outreach to operations directors at mid-sized care groups.. Metrics that prove it works: Cover rate for sick shifts within two hours, and average manager time spent on cover per absence..
Paid pilot
Run a four-week paid pilot with one care home site. Baseline is their current cover rate and average time to fill a gap. Success is a cover rate above 90 percent and a 50 percent reduction in manager phone time, then the site commits to an annual contract.
06Execution plan
MVP
One care home department, one role type, rota imported from a spreadsheet, and a basic rule set for working-time limits. First two modules are the sickness report form and the candidate queue with manual manager review of every offer before it is sent.
First 30 days
Week 1: Onboard one care home department, import their rota spreadsheet, and configure working-time rules for one role type. Week 2: Build the sickness report form and the candidate queue with manual manager review. Week 3: Connect SMS and WhatsApp messaging and test the first live shift offer with a single candidate. Week 4: Run a full week of live sickness reports, log all attempts, and deliver a daily manager summary to measure cover rate and response time.
After the pilot
After the paid pilot, automate the sending of offers and retries without manager review, add multi-department rotas, integrate with HR systems for live qualification data, and add a fairness scoring model to balance shift distribution across staff.
Retention
After the first delivery, the system becomes the default route for sickness cover, so it earns monthly subscription revenue and expands to more departments and role types as trust grows.
Integrations
Start with spreadsheet rota exports, SMS and WhatsApp APIs, and a simple staff directory. Later connect to HR systems for qualifications and to payroll for shift records.
07Investment and running costs
| Phase | Scope | Time | Budget |
|---|---|---|---|
| MVP | One buyer segment, one recurring use case. Manual review in the loop. | 2 days | $5,500 |
| Paid pilot | Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers. | 3 days | $4,500 |
| Full product | Self-serve onboarding, billing, monitoring and the wider integration set. | 5 days | $6,500 |
| Total | $16,500 | ||
| Running | Hosting | AI usage | Total a month |
|---|---|---|---|
| MVP and paid pilot (about 3 customers) | $30–$60 | $40–$90 | $70–$150 |
| Full product (about 50 customers) | $110–$210 | $280–$560 | $390–$770 |
Revenue model to test
Test pricing at 150 USD per month per site, with a setup fee of 500 USD for data integration and rule configuration.
Cost drivers
Main delivery costs are integration engineering for rota data, SMS and WhatsApp message fees, cloud hosting, and ongoing rule maintenance for working-time legislation.
Safeguards
Managers must approve every offer before it is sent in the pilot phase. The system must not contact staff outside agreed working hours, must not override legal working-time limits, and must not share staff contact details beyond the offer message.
Take it further
Solution blueprint, rewritten from an earlier Nexibeo concept. Demand, pricing, build scope and integrations are working assumptions, not verified market findings. The MVP and the paid pilot exist to confirm them for your business before the larger build.