Every engagement is led directly by the founders. No subcontracting, no junior consultant on the front line: the same people who delivered the case studies above are the ones working on your project.
The audit identifies the process with the business. The implementation is built by the engineer. These aren't two separate engagements: it's the same team, from scoping to production. This format eliminates the gap between business vision and technical execution, and removes the risk of a POC that never scales.
Full mapping of the target process (inputs, steps, handoffs, quality checkpoints). Strengths and weaknesses. Technical and functional blueprint of the target solution, option comparison, indicative timeline. Deliverable: a usable document, not a presentation.
Tool connections, process and sub-process orchestration, iterative testing on real data. Before/after measurement on target KPIs is done before final sign-off.
The automated process stays under a service guarantee. Response within 1 business day for outages, 2 for functional errors. No time-and-materials support: a flat fee at 20% of the project cost. The engagement ends in production, with no technical debt and no orphan POC.
Corentin and Souleyman have delivered software and AI projects in production at large enterprise clients for six years. Tie-Out applies the same execution rigor to mid-market companies that don't have the resources to embed a full tech team year-round.
Co-founder & CEO
Ex-Theodo
Six years as Lead AI Product Manager at Theodo, delivering software and AI automation programs in production across distribution, construction, pharma and consulting. Built RAG assistants, LLM evaluation tools, deliverable generators and data migration architectures. Co-organizer of GenAI France Lyon, a 300-person generative AI community in the Auvergne-Rhône-Alpes region.
Co-founder & CTO
Ex-Theodo, ex-360Learning
Systems architect specializing in cross-tool integrations and production LLM workflow deployment. Six years building banking-grade integrations at Theodo, distributed architectures at 360Learning and multi-agent systems for Finance and Ops clients. Robustness comes from having run critical integrations in production, not from framework choices.