[outcomes]
We report uplift against controls, cost per outcome, and adoption by real users. Client names are shared under NDA once we're talking.
A financial services client used decision services embedded in the trading desk workflow to lift volume across a priority segment, with uplift measured against a held-out control.
Decision intelligence · Financial servicesA telecom operator improved prepaid market performance through a Customer 360 foundation and next-best-offer models activated in the app and retail channels.
Customer 360 · TelecommunicationsA regulated organisation automated a high-volume operations process with AI agents run under the Agent Ops Framework, passing internal assurance review before scaling.
Applications and agents · Governance[how we measure]
Every engagement has a target metric agreed before work starts, a control group or baseline to measure against, and a kill criterion so a weak idea is stopped early rather than scaled.
Results are reported in the units the business already uses: volume, margin, cost to serve, cycle time, and risk events. Pilot metrics like model accuracy are inputs, never the headline.
Tell us about the decision or workflow you want to change. We'll come back with an honest view on whether it's worth proving, and what it would take.
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