Indicative duration
One to two lab days, supported by a short pre-lab discovery and environment check.
Functional Solution Labs
Start with one real work problem, examine what constrains it, and build the smallest useful result that the team can test and improve.
At a glance
Intended audience
Functional teams and managers working on a defined operational or decision challenge.
Prerequisites
A scoped problem, process owner, approved tools, and representative non-sensitive material.
Take-home output
A scoped prototype or improvement artefact, test observations, dependencies, and action plan.
Start with the work problem
A lab may conclude that a process, data, policy, or role issue must be addressed before technology.
Where an AI-enabled approach is suitable, the lab can analyse information, support review, surface exceptions, and prepare recommendations for human decision. The solution boundary is defined during scoping.
Current focus areas
HR and workforce
Examples include onboarding support, policy-grounded guidance, workforce information preparation, and learning support.
Finance and administration
Examples include document review preparation, exception surfacing, reporting support, and recurring administrative workflows.
Customer operations
Examples include enquiry triage support, knowledge-grounded response preparation, escalation, and service review.
Logistics and supply chain
Examples include status consolidation, exception preparation, supplier communication support, and operational decision support.
Learning and development
Examples include content preparation, practice support, feedback synthesis, and programme administration.
Management decision support
Examples include evidence synthesis, scenario preparation, recurring reporting, and issue surfacing.
Lab flow
Scope
Define the problem, users, outcome, and constraints.
Map
Examine workflow, decisions, data, roles, and exceptions.
Design
Select the simplest suitable intervention and safeguards.
Test
Prototype with representative scenarios and human review.
Plan
Document findings, dependencies, and improvement steps.
Before the lab
An environment and data check is required. We confirm licences, access, representative materials, confidentiality, device restrictions, administrative rights, supported tools, and the people needed to make decisions.