AI assessment & roadmap
Understand where to goIdentify the use cases with potential, anticipate their impact and build a prioritised roadmap.
Artificial intelligence: turning possibilities into concrete results.
The question is no longer only whether to take an interest in AI, but where it can genuinely create value, which skills to build and how to keep control of what you deploy.
Atlassian Platinum Solution Partner · Certified in WatsonX.governance and WatsonX.orchestrate · Alongside IT departments since 2008 · Paris and Lyon
AI does not start with the tool.
At BleuLemon, we approach AI as we do the other transformations we support: starting from the business, the teams, the processes and the information system, rather than from the technology available.
Identify the uses that are worth having, put them in place, support their adoption and build the framework that will let them evolve over time.
We are not trying to put AI everywhere. We look for the places where it can genuinely improve an activity, automate a task, speed up a piece of development or let a team work differently.
The right starting point may be a process, an irritant, a cost, a capacity problem or a change in the business itself. The technology comes afterwards.
Four ways forward with AI.
AI for business processes
Transform a processAnalyse the existing process, design the solution, integrate it with the information system and support its release, its adoption and its maintenance.
AI skills for IT teams
Moving the teams forwardTry the new practices on real projects, develop the methods and build the skills needed.
AI governance
Keeping controlDefine who decides, what agents can do, which data they use, how their actions are logged and how to preserve reversibility.
Our five-stage approach.
The same logic guides our AI engagements. Depending on your starting point, we can work across the whole path or only on certain stages.
01
Understand
Start from the business, the processes, current ways of working and the irritants. Identify what genuinely deserves to be transformed.
02
Scope
Prioritise the use cases, specify the value expected, the data, the risks, the responsibilities and the success criteria.
03
Deploy
Design, trial and then integrate the solutions into the information system, on a controlled and measurable scope.
04
Drive adoption
Support the teams, clarify what changes in roles and practices, train people and measure usage.
05
Keep it alive
Steer the gains, the costs, the risks and the changes; maintain governance and the ability to change architecture or vendor.
And the human?
The more AI automates, the more important it becomes to define what humans still decide, check, interpret or arbitrate. An agent can act within the information system; that does not mean it should decide everything on its own.
The aim is to hand AI what it can automate effectively, so that human involvement concentrates where judgement adds the most value.
Frequently asked questions
A question that finds no answer here is dealt with in a thirty-minute conversation, about your actual context rather than a general case.
Talk to an expertWhere do you start with AI in a business?
With the problem or the process to be transformed, not with the tool. When the priorities are not yet clear, the AI Assessment makes it possible to identify and compare the use cases before committing the investment.
Do you have to create AI agents?
No. An agent is relevant when an activity requires access to information, a sequence of several actions or interaction with different applications. In other cases, conventional automation, a native feature or an improvement to the process may be enough. The page AI for business processes sets out that choice.
Will AI replace the teams?
It mainly changes how the work is divided. Some tasks can be automated or delegated to AI; the human role then shifts towards more control, more arbitration, more design and the handling of complex situations. That is the subject of the page AI skills for IT teams.
Do you only work within the Atlassian ecosystem?
No. Our Atlassian expertise is useful when the processes concerned live there, but our AI work covers the systems that actually run the process: business applications, reference data, document repositories, collaboration tools or other platforms. See also the Atlassian partnership.
Going further: AI assessment & roadmap·AI for business processes·AI skills for IT teams·AI governance·Management and governance