Which work should a machine do?
Improve efficiency. Operations, finance, back-office agents and field service that increase productivity, reduce complexity and lower cost.
source: organization.outcomes.efficiency updated 2026-11-04 markdown permalink
How we do it.
Where would an agent actually pay off first?
AI agents built into sales, service and field work on Salesforce, with the permissions, approvals and review that make them safe to run.
Is the right technician in the right place with the right part?
Scheduling, dispatch, mobile work orders and service contracts, increasingly run by agents.
How much of your service work needs a person?
Case management, contact centre and connected service journeys, with agents taking the routine.
Which part of the work changes most?
Redesign one real process at a time: what AI does, where a person still decides, and the measure that proves it.
How many hands does your month-end need?
Finance processes, reporting and back-office work rebuilt with agents, on a trusted data foundation.
Is the plan what the plant actually does?
S&OP, daily management, performance governance and continuous improvement.
source: services updated 2026-11-04 permalink
Where we did it.
Customer and business transformation across brand, digital and AI
- Connected customer experience defined across the client lifetime
- Brand, website and omnichannel experience redesigned
- Manual administration reduced through AI-enabled workflows
From complex finance operations to a digital foundation
- End-to-end visibility across finance processes and data
- High-value opportunities for simplification and automation
- Clear roadmap for data readiness and system migration
Operations excellence built for sustainable performance
- Demand, capacity and execution connected
- Daily management and performance governance established
- Planning and production processes strengthened
source: cases updated 2026-11-04 permalink