How Econocom runs large deals across 6 countries with one team
300 users, 6 countries, €100k saved in six months: how Econocom aligned every team on the same deals.
300% ROI compared to the platform subscription cost
300% ROI compared to the platform subscription cost
€100k estimated savings in the first 6 months
€100k estimated savings in the first 6 months
300+ active users deployed across all business units and 6 countries in less than 6 months
300+ active users deployed across all business units and 6 countries in less than 6 months
Econocom's story
Learn more about Econocom
Econocom operates in a service-driven environment where producing proposals for large deals (RFP) is a critical part of the business. These proposals require input from multiple stakeholders across the organization, including sales, pre-sales, legal, security, and technical teams.
Because the deals Econocom works on are large and complex, this process often involves many contributors across departments and countries. Each of these deals is contested: the quality and the speed of the response decide who wins it.
To support this process, Econocom needed a way to capitalize on existing knowledge, structure proposal creation, and make the process accessible to everyone involved in the sales cycle.
Making proposal knowledge usable across teams
Discover the challenge
Before using cobl, Econocom faced several operational challenges around producing proposals.
The company had large volumes of internal knowledge and documentation, but this information was difficult to structure and reuse efficiently when preparing proposals.
At the same time, the teams contributing to these documents were highly diverse. Many were experts in their fields, but not professional writers and not developers.
This created several challenges:
- Knowledge existed across multiple sources but was difficult to capitalize on
- RFP analysis and proposal creation required strong analytical work
- Existing tools were often too technical or required development capabilities
- The proposal process involved many contributors across roles and departments
An AI tool built for everyone, not just experts
For Econocom, the ideal solution had to be simple to use, accessible to heterogeneous teams, and capable of understanding context without requiring coding skills.
Our teams are very diverse. We don’t have professional writers or development capabilities, so the ability to rely on AI to understand the context and make the process accessible to everyone is a real advantage.
Jean-marc Guyot
Director of AI & Innovation
One agent for every step of the deal
5–10 days per doc
5–10 days per doc
5–10 days per doc
5–10 days per doc
With cobl, Econocom structured their proposal process around a set of specific AI agents designed to support each stage, perfectly tailored to the way they work.
These agents help teams:
- Analyze client requirements and proposal context
- Generate structured RFP response and proposals based on existing knowledge
- Control the quality and consistency of the document
- Analyze and cross-analyze the RFP and the proposals to continuously improve.
This approach helps teams maintain quality control at every step, which is essential for complex sales documents.
Because the system does not require development skills, it can be used by sales, pre-sales, legal, security, and technical teams, all working on the same platform.
More deals answered, same teams
Since implementing cobl, Econocom has significantly improved how it creates and manages sales proposals.
Key results:
- 300% ROI compared to the platform subscription cost
- €100k estimated savings in the first 6 months
- 300+ active users deployed across all business units and 6 countries in less than 6 months
Beyond the operational efficiency gains, the system also improved the organization’s ability to answer more deals, faster, with the same teams, thanks to better knowledge reuse and more structured document creation.
Financially, the impact has been substantial, with estimated savings of around €100k in the first six months and a return on investment of approximately 300%.
The flexibility of the platform was key for us. It allows different teams — sales, pre-sales, bid managers, and technical profiles — to work with the same system.
From manual pain to measurable gains
See the difference before and after adopting cobl’s AI agents.
Before
Knowledge scattered across systems and difficult to reuse when preparing sales proposals
Knowledge scattered across systems and difficult to reuse when preparing sales proposals
Proposal creation required heavy manual coordination across departments
Proposal creation required heavy manual coordination across departments
Limited capacity to produce complex proposals efficiently
Limited capacity to produce complex proposals efficiently
After
Centralized knowledge and AI agents supporting the generation of structured proposals
Centralized knowledge and AI agents supporting the generation of structured proposals
A shared workspace where sales, pre-sales, legal, security, and technical teams collaborate with AI
A shared workspace where sales, pre-sales, legal, security, and technical teams collaborate with AI
Increased efficiency and proposal capacity, generating €100k in savings within six months and a 300% ROI
Increased efficiency and proposal capacity, generating €100k in savings within six months and a 300% ROI
Your next proposal is 2 minutes away
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