We review how work is done, identify what can be simplified or automated, and define a solution that can be implemented. AI is used where it provides a clear operational advantage.
Typical problems include repeated manual work, duplicated data entry, unnecessary checks, slow handoffs, unclear decision rules and disconnected systems.
We map the workflow, identify the bottlenecks and failure points, and define what should change. The solution may be a process redesign, rule-based automation, an internal tool, an AI-assisted workflow or a combination.
Our forward-deployed AI approach starts with the operating environment: users, data, systems, constraints and exceptions. The design is based on how the process actually works, not on a generic AI use case.
Where appropriate, we can prototype simple internal tools and automations. Customer-facing, production-critical or complex systems are specified for implementation by the client's IT team or development partner.
Clear description of the current workflow, bottlenecks, decisions and exceptions.
Prioritized opportunities based on operational value, effort and suitability for automation or AI.
Recommended architecture, data flow, system interactions and human-in-the-loop controls.
Functional and technical requirements that an internal IT team or development partner can use to implement the solution.
Describe the workflow, the pain point and what you are trying to improve. A few lines are enough to start.
brief@35fsharnell.com