Client work

What the work actually looks like.

Four engagements, the state each one started in, and what changed. All four ran on our Agentic AI Transformation Suite — each shows which of the four domains carried the work and what that produced.

Digital Transformation & PM Healthcare · APAC & USA

Legacy data centres to hybrid cloud, across two regions

A healthcare provider operating across APAC and the USA was running end-of-life data centres with no meaningful redundancy. We designed and delivered a hybrid architecture spanning Azure, AWS and a modernised private cloud, retired the legacy estate, and handed over a fully documented environment to their operations team.

The situation

Ageing data centres across both regions had reached end of life. A single power or hardware failure could have taken patient services offline in multiple countries at once. There was no disaster recovery capability, no visibility across the data estate, and no handover documentation for the operations team. Two earlier modernisation attempts had stalled on the complexity of the dependency map.

60%lower programme delivery cost
75%faster deployment through the engagement
Zerounplanned downtime across the cutover
Agentic AI Transformation Suite

The Suite carried this engagement end to end. Agentic discovery mapped the estate and its dependencies in a fraction of the manual effort, migration sequencing was generated and continuously re-planned against live risk, and governance evidence was produced as the work happened. That is where the 60% cost reduction and 75% acceleration came from — not from cutting scope.

AI Cloud Technology Operations
ITSM & Change Governance Technology / SaaS

ITSM rebuilt for a SaaS platform that outgrew its operations

A B2B SaaS company had scaled to 200+ enterprise clients in eighteen months without the operational maturity to match. Engineers were deploying to production ungoverned, major incidents were threatening renewals, and SLA penalties had started to bite. We rebuilt service management and change governance as one practice inside ninety days.

The situation

Product growth had outpaced operations badly. There was no change advisory process, so deployments reached production without review; incidents were handled reactively with no structured classification; and SLA commitments to enterprise clients were being missed often enough to trigger penalty clauses. Two large renewals were openly at risk when we were brought in.

55%fewer P1 incidents within 90 days
99.9%SLA achievement post-implementation
90days from assessment to handover
Agentic AI Transformation Suite

Operations and AI domains carried most of this engagement. The Suite baselined ITSM maturity against the incident record rather than a questionnaire, which is what surfaced the change-to-incident correlation the internal team had not seen. Process design, ServiceNow configuration and the SLA model were then generated from that baseline rather than adapted from a template.

Operations AI Technology
Managed Services Advisory Life Sciences

Recovering a managed services contract that had broken down

A life sciences organisation was eighteen months into a deteriorating managed services agreement with no governance, no leverage and no exit plan. We acted as the independent party, stabilised the relationship while building the alternative in parallel, and managed the transition without a single service disruption.

The situation

The incumbent provider was breaching SLAs consistently, governance reporting had quietly stopped, and escalations went unanswered for weeks. The client had no contractual leverage because nobody had been tracking breaches formally, and no transition plan if they needed to leave. Internal IT leadership was overwhelmed and the situation was heading toward a dispute neither side would have won.

€2M+contract value protected
Zeroservice disruption through transition
6months from engagement to full exit
Agentic AI Transformation Suite

This engagement leaned on the Operations and Technology domains. The Suite reconciled eighteen months of ticket data against the contracted SLA schedule, which produced the evidence base the client had never been able to assemble manually. That evidence is what changed the negotiating position and, later, made the transition plan defensible.

Operations Technology
Cyber Defence FinTech / SaaS

DORA compliance for a FinTech serving regulated institutions

A FinTech SaaS platform serving regulated financial institutions faced a DORA deadline with twenty-eight unresolved critical gaps and no formal security posture assessment on record. We assessed, prioritised by regulatory exposure rather than severity score, and closed every finding ahead of the deadline.

The situation

The security posture had never been formally assessed since the company was founded. With DORA requiring operational resilience compliance from providers serving EU financial institutions, the gap analysis surfaced twenty-eight critical findings spanning access control, ICT incident response planning, third-party risk management and business continuity documentation. The deadline was close enough that sequencing mattered more than thoroughness.

28critical gaps closed before deadline
100%DORA compliance achieved
3 weeksahead of the regulatory deadline
Agentic AI Transformation Suite

The AI and Technology domains did the heavy lifting here. The Suite mapped the existing control set against DORA articles and ISO 27001 directly, which turned a gap analysis normally measured in weeks into days, and kept the remediation evidence pack current as each finding closed rather than requiring reconstruction at audit time.

AI Technology Operations

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