Full workflow integration and lasting adoption
Selecting an AI use case is straightforward; embedding production AI into enterprise operations requires dedicated software engineering and hands-on change management. This 3-to-6 month enterprise AI sprint serves as our comprehensive forward-deployed engineering engagement.
Our embedded team focuses on ground-level execution, working alongside your operational departments to automate processes task by task. A dedicated technical unit embeds directly inside your organization to build production software, coach your internal staff to use it, and prove that your AI initiatives create clear ROI.
A three-phase execution cadence
Weeks 1–3: Discovery & Design
Our team maps your target operational workflows alongside department leads, identifying manual tasks and defining clear automation goals for each process.
Weeks 4–16: Build, Iterate & Enable
The forward-deployed engineer sits directly with the people doing the work to build custom prompts and tools. Simultaneously, our adoption coach works with end-users in each department to help them turn these new AI tools into daily habits.
Final 4 Weeks: Handover & Exit
We complete full documentation, ensure internal teams comfortably own the new workflows, and complete a clean exit.
Production automation and measurable ROI
Integrated AI System
Fully deployed AI logic integrated into your day-to-day workflows and existing software platforms.
Capable Internal Workforce
Operational teams and business leads confident in using custom AI tools and LLMs to maintain efficiency gains.
Documented System Ownership
Clear operational guides, prompt repositories, and system workflows handed over entirely to your team.
Outline your sprint scope
Schedule a Discovery Session
Book a 2-hour scoping call with our delivery leads to map your target workflows, evaluate feasibility, and define your sprint parameters.
Run a targeted 4-to-6 week validation engagement through FDE Pilot before committing to a full multi-department rollout.