Our work

Practical intelligence. Measurable movement.

Selected engagements with organisations where fragmented systems, regulated environments, acquisition activity or high-volume operations make decision confidence both difficult and valuable. A meaningful share of this work happens inside private-equity-backed businesses alongside large enterprises.

01

Fenergo

Regulated SaaS

Executive Decision Layer · Auditable AI

The decision problem

Operating signals from product, commercial and compliance functions were difficult to reconcile into a single trusted view.

What Spark built

A decision layer connecting product telemetry, commercial pipeline and regulatory workflow into one auditable operating context.

What changed

Senior teams move faster on growth and risk decisions, with evidence behind each call.

02

Workhuman

Enterprise platform

Data Layer Professionalisation · Decision Workflows

The decision problem

Customer, product and revenue motion lived in disconnected systems, making operating decisions slower than the business needed.

What Spark built

Operating intelligence layer that unifies customer signal, product engagement and revenue performance.

What changed

Leadership reviews focused on action rather than data validation.

03

Munich Re

Insurance

Auditable AI · Governance

The decision problem

AI initiatives were difficult to defend in a regulated, evidence-heavy environment.

What Spark built

Auditable AI foundations with evidence logs, evaluation frameworks and governance suited to risk-sensitive use cases.

What changed

AI insights that can be reviewed, defended and brought into formal decision processes.

04

SMBC Aviation Capital

Asset finance

Decision Layer · Data Engineering

The decision problem

Portfolio-level decisions required context across complex, globally distributed operating systems.

What Spark built

Portfolio decision layer giving leadership unified operating context across geographies and functions.

What changed

Faster, more confident portfolio decisioning at the senior level.

05

Hertz

Mobility

Margin Intelligence · Cost-to-Serve

The decision problem

High-volume operations created hidden cost-to-serve and pricing leakage that was invisible at board level.

What Spark built

Margin and cost-to-serve intelligence exposing true net profitability across the operating estate.

What changed

Growth and pricing decisions made on net economics, not gross signals.

06

Vertex

Tax technology

Data Layer · Reporting Modernisation

The decision problem

Operating systems and reporting layers had drifted apart, creating reconciliation overhead at every leadership cycle.

What Spark built

Decision layer between fragmented operating systems and the leadership reporting pack.

What changed

Reporting cycle time reduced and leadership conversations focused on decisions, not data.

Could your organisation move with the same confidence?

Talk to Spark