From scattered AI initiatives to a shared strategy
How many AI initiatives are currently under way in your organization? How many use cases have already been explored, or even built several times by different teams, simply because nobody knew that similar work already existed elsewhere?
We have run into these issues within our own organization too. Driven by employee commitment and the relevance of the use cases identified, AI initiatives multiplied across our marketing teams. A promising momentum, which gradually raised many questions: how do you give these initiatives visibility, ensure their consistency and let each team build on the others' work?
These challenges are not specific to our organization. They are the ones we find in most of the marketing teams we talk to.
One point is universally shared: while a convincing POC can be built in a few days, turning that experiment into a reliable, robust solution that can be deployed at scale takes a very different approach.
Our approach: frame before you build
Before building new agents, we take stock of ongoing initiatives, the business needs they address and the possible synergies between teams. We also assess AI maturity, technical constraints and business priorities. This inventory makes it possible to tell the needs already covered from those still to be addressed, then to define a clear target vision.
Not every need justifies building an agent. We qualify the use cases identified, group them into workstreams and prioritize them by expected value and required resources. This selection relies on thematic workshops with the business teams and on a continuous flow of needs observed in the field. Future users are involved from the start to make sure agents meet real needs and fit into their daily practices.
Once priorities are set, we build a roadmap and prepare the conditions for its execution: agent monitoring, continuous improvement, integration of new needs and team training. The goal is not to stop at building a first tool, but to let teams evolve their agents as their needs change.
This organization is what makes it possible to move from one-off experiments to lasting solutions.
NOVA: our internal marketing AI agent platform
It is by applying this methodology to our own teams that we gradually built NOVA, our agentic platform dedicated to marketing engagements. The use cases identified are assessed and prioritized there, then the agents built enrich the platform according to a roadmap defined with our teams.
Co-built with our employees and available to all our consultants, NOVA now includes more than 20 agents, in testing or finalized, covering analysis, steering, production and compliance-checking use cases. These agents take over part of the consultants' operational tasks and let them focus on higher-value engagements.
On CRO, the agents dedicated to this offer have already made it possible to measure a gain of 25 to 30 hours per engagement. NOVA thus keeps growing with the needs identified and user feedback. Each new agent is part of a common roadmap, with the goal of gradually building a coherent, reusable set of solutions.
Expertise gained for the benefit of your projects
The experience gained by deploying and enriching our NOVA platform directly feeds our client support.
We are now able to support you in structuring your AI initiatives, from identifying priority use cases to building a roadmap and deploying agents. Our approach adapts to your challenges, your constraints and your level of maturity.
An AI agent project? Get in touch to talk it over.
In brief
