Client impact

Outcomes, documented.

Every engagement is measured against a baseline agreed before we build. These are the results.

Client impact

AI measured by what changes.

Client names are published only with permission. Figures are client-reported or withheld.

Manufacturing

Organisation: Global discrete manufacturer (anonymised)
Challenge: Unplanned stoppages on constrained lines were absorbing overtime and lost output.
AI solution: Asset-class failure models with edge inference and planner-approved work orders.
Systems integrated: Historian, CMMS, ERP
Delivery approach: 10-week pilot on two lines, then multi-site rollout.
Measurable outcome: Downtime on covered assets reduced (client-reported, figure withheld pending approval).

“The models earned trust because maintenance teams saw the lead time they needed to act.”
— Head of Operations

Banking & Financial Services

Organisation: Tier-1 bank (anonymised)
Challenge: Rules-based monitoring generated alert volumes the team could not investigate.
AI solution: Graph features and streaming models with analyst feedback captured into retraining.
Systems integrated: Core banking, streaming platform, case management
Delivery approach: Shadow mode for one quarter before decisioning authority.
Measurable outcome: Material reduction in false positives at equal detection (client-reported).

“Shadow mode was non-negotiable. It is why the model went live at all.”
— Director, Financial Crime

Healthcare & Life Sciences

Organisation: Life-sciences organisation (anonymised)
Challenge: Specialist time was consumed by first-draft documentation work.
AI solution: Template-constrained generation with citation enforcement and structured review.
Systems integrated: CTMS, eTMF, document management
Delivery approach: Two document families, reviewer-in-the-loop from day one.
Measurable outcome: Draft turnaround shortened; every claim traceable to a source.

“Citations changed the conversation with our quality group.”
— VP, Regulatory Affairs

Government & Public Sector

Organisation: National public-sector agency (anonymised)
Challenge: Caseworkers navigated several legacy systems per enquiry under strict data rules.
AI solution: In-country deployment with entitlement-aware retrieval and immutable audit trails.
Systems integrated: Case management, identity, policy repository
Delivery approach: Controlled pilot with union and privacy review before scale.
Measurable outcome: Reduced handling time with complete auditability (agency-reported).

“Auditability was the requirement that made adoption possible.”
— Programme Director

Logistics & Supply Chain

Organisation: Global logistics provider (anonymised)
Challenge: Disruption surfaced only after cost had been committed.
AI solution: Event correlation, scenario simulation and agent-proposed re-plans with planner approval.
Systems integrated: TMS, WMS, carrier feeds
Delivery approach: Single trade lane first, expanded by network segment.
Measurable outcome: Earlier disruption warning and lower expedite spend (client-reported).

“Planners kept the decision. The agent kept the options ready.”
— VP Supply Chain

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