Digital maturity of HR processes
Your HR digitalisation measured process by process, translated into a prioritised roadmap.
10 themes, a 5-level scale. And the action that moves each level to the next.
The framework’s 10 themes, already written from L1 to L5. One company, one business unit, or 300 at once.
Digital maturity of HR processes
10 themes, 5-level scale.
Nordhavn Industries
53 / 100
They measure their maturity with Datamensio
An example
This could be your situation.
Take one company as an example: three sites, three spreadsheets, no shared answer.
Nobody can consolidate.
Nordhavn Industries, 2,400 people in Hamburg, Lyon and Porto. A client asks where the group stands. Each site answers in its own spreadsheet, with its own scales.
Three weeks, a single base.
One Datamensio maturity framework · Digitalisation of HR processes (CMMI scale, 5 levels) assessment launched across all three sites at once, from the managers’ interview notes. The framework was already written, its 10 themes and levels L1 to L5 too.
Two costs avoided before being committed.
A score of 53 out of 100, with the gap concentrated on three themes. The AI companion spotted that two actions duplicated those of another audit. The committee report took one sentence to request.
What it saved them
- 3sites measured on the same base, instead of three questionnaires to reconcile
- 2duplicate actions caught before the spend
- 1committee report, with no manual rework
These figures are an example. They could be yours.
The standard imposes processes. Datamensio says where you stand.
01
The framework is already written
Themes, questions and levels L1 to L5, all written. You do not start from an empty spreadsheet.
02
The score lands the same day
Online, by self-assessment link or in interview. Theme by theme, comparable over time.
03
The gap becomes a costed plan
Every step up carries its action. The AI prioritises on expected effect, not on the order of the standard.
04
Progress can be demonstrated
Campaign after campaign, against your target and against your own past. That is what your board asks for.
The maturity scale
One level, the next, and the action that links the two.
This mechanism (a level, the level above, and the action linking the two) is what turns an observation into a trajectory.
How does information flow from a hire through to payroll?
- N1
Information flows by email and spreadsheet. Each department re-keys the data it needs.
- N2
A tool centralises the employee file, but payroll is fed by an extract that is manually reworked at each cycle.
- N3
The file is entered once and feeds payroll through a documented interface. Discrepancies are handled case by case.
- N4
The interface is automated and controlled: rejections are logged, assigned to an owner and tracked through to resolution.
- N5
The flow is measured through data quality indicators reviewed at each payroll cycle, and recurring causes of rejection lead to upstream corrections.
Action to move from L2 to L3
Document the exchange format between the employee file and payroll, remove the intermediate spreadsheet reworking step, and validate the first cycle without re-keying at the following month’s payroll close meeting.
« With Datamensio, we meet our objectives far more efficiently. The ERDF inspection services and our supervising ministry particularly appreciated an approach that gives them reliable data. »
Director, CCI 94CCI Île-de-France
« We believe this is the most suitable solution to scale our transformation project and measure impact according to our needs. »
Maja SucekChief Operating Officer, Interreg Danube
Rarely on its own
Frameworks combine. Put several together to cover your business, or have the AI write yours.
Take your first measurement
What this framework covers
Digitalisation of HR processes is not simply a matter of rolling out an HRIS. It concerns how each process is described, tooled, fed with reliable data and measured: recruitment requests, contracts and amendments, absence management, payroll preparation, skills development plans, appraisal campaigns, internal mobility, offboarding. The framework assesses four dimensions across each of these processes: the degree of automation, the quality and uniqueness of the data, the experience offered to employees and managers, and steering through indicators.
In practice, the subject is difficult to manage because the HR information system masks the real state of processes. A tool can be installed without being used, or used alongside a spreadsheet that remains the true source of truth. Some questions worth asking: how many successive data entries separate a hiring decision from its integration into payroll? Can a manager process an absence request without going through HR? Are absenteeism rate and time to hire produced by the system, or reconstructed by hand every quarter?
Two developments are shifting the subject. On one hand, workforce data is moving beyond the HR remit: CSRD indicators, the gender equality index, and BDESE reporting all require consolidated, traceable and auditable data, which an organisation built on manual extracts cannot provide. On the other hand, AI is entering HR processes through CV screening, job advert drafting and skills analysis, which calls for explicit usage rules, a point often addressed after deployment rather than before.
This assessment measures a trajectory, not a tick box. It does not conclude with "tooled" or "not tooled", but places each process on five levels, from craft-based working to a process that is measured and continuously improved, and indicates the action that moves it to the next level. This is what allows business units with uneven practices to be compared, a realistic target to be set process by process rather than as a single overall objective, and an HR transformation programme to be sequenced across several financial years.
In Datamensio, the framework is ready to use and you retain full control over it. You can add a theme specific to your sector, adjust the questions to the vocabulary of your processes, or have AI build a variant from your own documents: process maps, HRIS architecture diagrams, specifications. AI then refines the wording of the five levels according to the CMMI method.
Reference standard: Datamensio maturity framework · Digitalisation of HR processes (CMMI scale, 5 levels)
The themes assessed
Recruitment and onboarding
Recruitment requests and approval, job advert distribution, application management, tracking time to hire, onboarding journey and employee file creation.
Personnel administration and contracts
Building and maintaining the employee file, generating contracts and amendments, electronic signature, management of mandatory documents, archiving and retention periods.
Time, absence and activity management
Declaring and approving absences, leave and balance management, time and rota tracking, alignment with collective agreement rules.
Payroll and interfaces
Feeding payroll, manual re-keying and checks, variable pay management, reconciliations, statutory reporting and reliability of inbound and outbound flows.
Skills, training and development
Skills framework, needs collection, building and tracking the development plan, enrolments, funding, traceability of acquired skills.
Appraisals and performance
Annual and professional appraisal campaigns, setting and tracking objectives, completion rate, using appraisal outcomes for mobility decisions.
Mobility, career and offboarding
Publishing internal vacancies, tracking mobility wishes, personnel reviews, offboarding management and return of access and equipment.
Workforce data and steering
Uniqueness and quality of reference data, indicators produced by the system, gender equality index, BDESE, workforce reporting and reliability of readouts.
Employee and manager experience
Self-service access, portal and mobile applications, manager autonomy over management actions, measuring user satisfaction.
Compliance, security and AI use
Processing register and legal bases, access rights and segregation of sensitive data, AI usage rules in recruitment and skills analysis, informing data subjects.
A short version of the framework is available for the online self-assessment.
Frequently asked questions
Does this framework lead to a certification?
No. Digitalisation of HR processes is not a certifiable domain and no body issues recognition on this subject. The assessment measures a maturity level and produces a progression trajectory, process by process.
How does this differ from a standard HRIS audit?
An HRIS audit examines a solution: functional coverage, configuration, architecture. The assessment starts from processes and their actual practices, independent of the tool in place. It therefore informs both a replacement project and a project to make better use of existing systems.
How long does the assessment take?
The short version takes 20 to 30 minutes to complete by an HRIS manager or HR director. The full version, run collaboratively, typically spans one to two weeks: most of the time goes into gathering responses from payroll, training and managers.
Can the framework be adapted to our organisation?
Yes. You can amend the questions, the wording of the levels, add your own themes, or start from a blank base. AI can also build a variant from your own process map. The framework is yours.
Can several entities be compared with each other?
Yes. The assessment can be rolled out across several business units using the same grid, making scores comparable. The benchmark places each entity against the others and against its own past performance, and a cross-entity roadmap consolidates the action plans.
Does the assessment cover the use of AI in HR processes?
Yes, a dedicated theme covers this: usage rules in recruitment and skills analysis, informing data subjects, human oversight of decisions, traceability. This is a subject that often progresses faster than its governance.
Is technical expertise required to answer?
No. The questions concern management practices and information flow, not tool configuration. Some questions fall to the HRIS manager or payroll: the collaborative mode allows them to be assigned to the right person.
Where is the data hosted?
In France, with OVH, backed up at Scaleway. No transfers outside the European Union. The AI models used can be selected, including from European providers.