All case studies / Production
RevoHR: HR for frontline workers.
RevoHR is building the HR system frontline workforces actually use, with SIEL as the engineering partner behind it.
- Client
- RevoHR
- Sector
- HR technology, workforce operations
Growth goal
Reach the frontline workforces that office-built HR software never reaches.
Operating constraint
Frontline workers rarely sit at a desk. HR processes designed for office staff simply never reached them.
Measured result
An HR product frontline teams adopt without training.
The full story
- Baseline
- Shifts, documents, onboarding and communication handled outside any HR system, because the system was built for desks.
- System
- The RevoHR platform, engineered by SIEL: mobile-first workflows for shifts, documents, onboarding and communication, with AI handling the busywork.
- Controls
- Role-based access on every record. AI drafts and sorts; people approve what reaches an employee.
- Result
- A product frontline teams adopt without training, with SIEL as the engineering partner behind it.
In depth
RevoHR had a clear audience and a clear gap
RevoHR set out to do something most HR products never quite managed. They wanted to build HR that frontline workers would actually use. Not a portal that sat on a desktop in head office, but something that lived where staff already were. Their growth depended on reaching the workforces that office-built HR systems had always missed. That meant retail teams, warehouse crews, hospitality staff and anyone who rarely spent time at a desk. Winning this market meant designing the operation for them from the first release.
The opportunity was clear. Employers needed a way to handle shifts, documents, onboarding and everyday communication for thousands of people who were mostly on their feet. The risk was equally clear. If RevoHR ended up with another HR tool that assumed desk time, logins and formal training, they would be competing in the same crowded space as everyone else. The frontline workers they cared about would continue to use group chats, paper forms and personal contacts instead of any official system.
The desk-based model could not stretch to the frontline
The teams RevoHR served were already busy, often understaffed and constantly reacting to real-world events. Shifts were swapped in the moment. New starters arrived on site with little warning. Important documents were shared through print-outs or forwarding messages, not structured HR workflows. The HR systems on the market had been designed around office staff who read emails, attended onboarding sessions and logged into web portals at a laptop. Frontline workers rarely did any of that.
In practice, this meant the core HR work happened outside any system. Shift changes were agreed informally, documents were scattered across apps and folders, onboarding was improvised and communication travelled through side channels. Managers had no single place to see what their team had received or signed. HR leaders could not rely on the data. RevoHR could see that if they built on the same assumptions as existing tools, their users would ignore it like they ignored those tools. They needed a product, and an operation behind that product, that fitted the frontline reality.
SIEL and RevoHR built a mobile-first HR operation
RevoHR brought SIEL AI in as the engineering partner behind their product. Together we designed and built the RevoHR platform around the actual workflows of frontline teams, not a repurposed office system. The work started from four everyday needs. People needed to see and manage shifts. They needed to receive and store important documents. They needed a simple way to onboard new staff in the flow of work. They needed a direct line for clear, timely communication that did not depend on email or a desktop.
We engineered the RevoHR platform as a set of mobile-first workflows that covered these needs in one place. Shifts could be created, updated and understood from a phone. Documents could be sent, acknowledged and found later without hunting through channels. Onboarding could be guided step by step, so new starters saw what they needed as they joined. Communication could reach people where they already were, in a format they could act on. Across this, AI handled as much of the repetitive busywork as possible, so teams could focus on decisions and people rather than administration.
AI handled busywork while people kept ownership
The point of using AI in RevoHR was not to remove people from HR. It was to take the friction out of repetitive tasks that slowed everyone down. The system could draft messages, propose next steps and sort information into the right queues. It could turn the same core content into different formats for different groups, or help highlight what needed attention in a long list of items. This gave managers and HR teams more time to think about the decisions that genuinely needed their judgement.
Control stayed firmly with people. Every item in the system carried role-based access on the underlying record, so the right person could see the right information and nothing more. AI produced drafts and sorted information, but people chose what to send and when. Anything that reached an employee had gone through an appropriate approval step. That combination let RevoHR move fast without losing trust. Frontline staff could rely on the messages and tasks they saw. HR leaders could explain how each decision had been made and who owned it.
Role-based access and clear approvals kept trust high
Frontline HR touches sensitive information as a matter of course. RevoHR and SIEL treated this as a design requirement, not an afterthought. Every record in the platform was linked to clear roles. Those roles determined who could view, change or approve each item. A shift owner saw what they needed for scheduling. A local manager saw the documents relevant to their team. HR staff saw the wider picture. No one had to guess what they were allowed to do, and the system did not rely on informal workarounds.
On top of the access model sat approval flows for anything that would affect frontline staff directly. When AI drafted a message, proposed an onboarding step or organised a set of documents, it did not send them automatically. Someone with the right role reviewed the draft, adjusted it and confirmed it. That action was recorded. Over time, this created a clear operational rhythm. AI handled the sorting and drafting. People made the decisions. The combination made it possible to scale communication and HR workflows without losing oversight or creating confusion.
Fixed fee, agreed before we start. A senior engineer replies within two business days.
