Future mobility maturity · Autonomous vehicles, industrial drones
Your autonomous mobility projects, placed on a maturity scale and translated into a costed 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.
Future mobility maturity · Autonomous vehicles, industrial drones
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 Future mobility maturity framework (autonomous vehicles, industrial drones), 5-level CMMI scale 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.
It is this mechanism (a level, the level above, and the action linking the two) that turns an observation into a trajectory.
How are takeover and stop scenarios managed for an autonomous mobile unit in operation?
- N1
No formalised scenario. In the event of an anomaly, the response depends on the person present and their experience with the equipment.
- N2
Instructions exist, often taken from supplier documentation. They do not cover every situation encountered and are little known to production teams.
- N3
Takeover and stop scenarios are documented by operating area, distributed to the relevant teams and tested during commissioning.
- N4
Scenarios are exercised periodically, stop and takeover events are recorded and analysed, and procedures are corrected after each deviation observed.
- N5
Operating data feeds into the revision of scenarios and mobile unit parameters, with a documented review log shared across sites.
Action to move from L2 to L3
For each operating area, draft the takeover and stop sheet with roles and trigger thresholds, have it validated at the site HSE review, then integrate it into safety induction and the commissioning protocol for each new mobile unit.
« 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
Future mobility, in an industrial context, covers all mobile systems capable of moving with a degree of decision-making autonomy: on-site shuttles and autonomous vehicles, warehouse forklifts and mobile robots, teleoperated construction equipment, drones inspecting structures, stock or networks. These systems share three characteristics: they combine perception, decision-making and physical movement, they depend on connectivity and mapping infrastructure, and they directly affect people’s safety. The framework assesses the organisation’s maturity on these three fronts, not the performance of a given piece of equipment.
In practice, these projects often stay at the demonstration stage. The pilot works, but scaling up never follows. The questions that block progress are concrete. Who is responsible for the fleet’s day-to-day operation once the supplier has left: maintenance, production, logistics, a dedicated team? Is mission data (trajectories, incidents, inspection images) retained and used, or lost after each campaign? Is return on investment measured against an operational indicator, or does it remain a business case estimate?
The applicable framework has taken shape. EU regulation 2019/945 and implementing regulation 2019/947 organise drone operations into open, specific and certified categories, with the SORA risk assessment for the specific category. For vehicles, regulation 2022/1426 governs automated driving systems. A common confusion arises here: these texts cover authorisation to operate a mobile unit, not an organisation’s capacity to industrialise its use. A fully authorised fleet can still sit at a low maturity level if procedures, skills and data management have not kept pace.
A regulatory check results in an authorisation or a refusal. The maturity assessment works differently: it shows where your practices stand, theme by theme, and the precise action that moves you up a level. It is this progressive reading that allows you to arbitrate between initiatives, compare two sites moving at different paces and build a trajectory across several years rather than a pile of demonstrators.
The framework is ready to use in Datamensio and you can adjust it. AI refines the themes, questions and wording of the levels according to your sector, network inspection drones or intralogistics autonomous fleet, or builds a variant from your own documents: specifications, operating procedures, feedback from pilots.
Reference standard: Future mobility maturity framework (autonomous vehicles, industrial drones), 5-level CMMI scale
The themes assessed
Strategy and use cases
Existence of an autonomous mobility trajectory, selection and prioritisation of use cases, alignment with industrial strategy, criteria for stopping a trial.
Infrastructure and connectivity
Network coverage of operating areas, mapping and geo-referencing, charging points and parking areas, signage and adaptation of traffic routes.
Autonomous systems and autonomy levels
Autonomy level actually reached by each mobile unit, perception capabilities, management of degraded modes, teleoperation and remote supervision.
Operational safety and human interactions
Risk analysis by scenario, co-activity zones, stop and takeover procedures, training of exposed staff, feedback on incidents.
Regulatory framework and authorisations
Identification of applicable operating categories, authorisation files and risk assessment, remote pilot and operator qualifications, insurance and liability.
Data and mission operations
Collection and retention of mission data, processing chain for inspection images and measurements, integration with maintenance and production systems, quality and traceability.
Cybersecurity of mobile units and supervision
Securing of command links, identity and access management for supervision, updating of embedded software, detection of behavioural anomalies.
Skills and organisation
Fleet operation and maintenance roles, training plan, dependence on suppliers, on-call and support arrangements.
Business model and value tracking
Total cost of ownership, usage and availability indicators, measurement of operational gains, decision to scale up.
Ecosystem and industrial integration
Relations with manufacturers and integrators, interoperability with existing systems, participation in standardisation work, ability to change supplier.
A short version of the framework is available for the online self-assessment.
Frequently asked questions
Does this assessment deliver certification or an operating authorisation?
No. Authorisations to operate drones or automated vehicles fall under the competent authorities and the associated regulatory files. The assessment measures your organisation’s maturity on these subjects and produces the action plan to progress.
What is the difference with a regulatory compliance audit?
An audit checks for the presence of requirements and concludes with a gap. The assessment places your practices on a progressive scale, theme by theme, and indicates the action that moves you up a level. It informs investment choices, not just a regulatory position.
How long does the assessment take?
The short version takes 20 to 30 minutes to complete. The full version, in collaborative mode with several contributors, generally runs over one to two weeks: most of the time goes into gathering information from operations, HSE and maintenance.
Can the framework be adapted to our type of fleet?
Yes. You can modify the questions, levels and themes, or start from your own documents. AI generates a variant suited to your use, network inspection drones or intralogistics mobile robots, and refines the wording of the levels according to the CMMI method.
Can several sites be compared with each other?
Yes. Assessments carried out on the same framework can be compared across business units and over time. A cross-site roadmap consolidates several audits to avoid duplicating actions common to several sites.
Do you need technical expertise to answer the questions?
The questions cover organisational, operational and management practices, not the parameters of embedded systems. Some require input from a technical referent or a remote pilot: collaborative mode allows these questions to be assigned to them directly.
What happens after the assessment?
The gap between the score and the target generates the action plan, which AI groups into a prioritised roadmap. The service catalogue offers a solution for each item in the plan, with its cost, timeframe and impact on the score. The report is shared with the relevant sites in a space branded to your colours.
Where is the data hosted?
In France, with OVH, backed up with Scaleway. No transfer outside the European Union. The AI models used can be selected, including from European solutions.