Observing real work to automate real tasks
An enterprise AI pilot brings the build process directly to your operational teams. Over 4 to 6 weeks, an embedded forward-deployed engineering team sits alongside your team members to observe how they complete their daily tasks, what tools they use, and where manual bottlenecks slow them down.
Through this hands-on AI delivery model, our AI pilot engagement tests whether standard AI prompts or custom-coded tools effectively automate these tasks, delivering a working AI proof of concept validated in your daily operations.
Observe, build, and build habits
An enterprise AI pilot brings the build process directly to your operational teams. Over 4 to 6 weeks, an embedded forward-deployed engineering team sits alongside your team members to observe how they complete their daily tasks, what tools they use, and where manual bottlenecks slow them down.
Step-by-Step Task Observation
The engineer sits next to your team members, watching how they execute specific tasks, manage inputs, and handle exceptions.
Pragmatic Tool Selection
We evaluate whether a task can be automated with standard LLM prompts (e.g., ChatGPT or Claude) or requires custom code to support the process.
Rapid Prototyping & Feedback
The engineer builds the custom prompt or tool on the spot, hands it to the user, gathers immediate feedback, and iterates until the target tasks are automated.
Coaching & Habit Formation
While the engineer refines the software, the AI adoption coach works side by side with your staff to turn these new tools into daily working habits.
High-value enterprise use cases
We focus pilots on bounded, operational processes where manual work creates clear friction.
Compliance & Document Processing
Automating extraction, summary, and verification tasks across unstructured business and regulatory documents.
Internal Process Automation
Streamlining internal operational bottlenecks across procurement approvals, financial consolidation, and reporting workflows.
Multilingual Customer Service
Deploying custom AI agents that manage customer interactions across Bahasa, English, and Mandarin.
Supply Chain Optimization
Integrating intelligent forecasting models into existing inventory and demand planning systems.
Measurable efficiency and working automation
Working AI Tools
Tested AI prompts and custom software built specifically for your team’s daily process.
Clear Performance Metrics
Concrete data showing time savings, user satisfaction, and efficiency gains achieved during the pilot.
Sprint Roadmap
Scoping details and clear parameters for expanding the pilot into a full-scale deployment via an FDE Sprint if performance warrants scaling.
Outline your pilot scope
Schedule a Discovery Session
Book a scoping call with our delivery team to outline your operational workflow, evaluate feasibility, and define your pilot parameters.