Selected work

Evidence of execution.

We are deliberately small. Two to three concurrent mandates. Where a client consents and a mandate has closed, the entry is annotated and signed. Until then, the line stands as it stood when it opened.

[01]
Mandate index

The full record.

Stamp
Entry
Sig.
Mandate / 01
Financial services. UK. Active. Operating model review through to first build cycle. Opened Q4 2025.
DJ
Mandate / 02
Consumer and ecommerce. UK. Active. Operations stand-up. From product-market fit to first retail listing. Opened Q1 2026.
ZQS
Mandate / 03
Under non-disclosure. The mandate is signed, the work is on the desk. The annotation will follow at handover.
DJ
Pipeline / 01
Diagnostic in scoping. Health technology. Conversion decision Q3 2026.
DJ
Pipeline / 02
Diagnostic in scoping. Financial services. Conversion decision Q3 2026.
ZQS
Closed
No closed mandates yet. The first will be annotated and signed when the work reaches steady state.
ZQS
Case study 01

Code Nutrition Limited

UK direct-to-consumer health
Sprint: 4 to 6 weeks
E-commerce operations

The situation

Code Nutrition is a UK-registered direct-to-consumer health brand (company number 16752898, incorporated September 2025). As a new entrant in a competitive market, they needed operational infrastructure (supply chain, fulfilment, customer service, and inventory planning) without the capital burn of building it in-house.

What we did

Ziqsy Partners rebuilt Code Nutrition's operations end to end. We designed the supply chain, set up fulfilment partnerships, built the customer service capability, and implemented AI-assisted inventory planning. The team embedded for the initial build, then transitioned to oversight as the AI absorbed the volume work.

The outcome

Code Nutrition now operates with full capability at a fraction of traditional cost. The model has proven commercially viable and is being replicated across other DTC brands in the Ziqsy portfolio.

Code Nutrition e-commerce packaging
£180KAnnual operating cost with Ziqsy
£1M to £1.5MEstimated in-house cost
82 to 88%Cost savings vs in-house
£600K to £1.2MEstimated traditional consulting
Case study 02

Investment Bank Process Automation

Financial services
Sprint: 5 weeks
Process automation

The situation

A tier-one investment bank was running a critical middle-office process manually: trade confirmation, reconciliation, and exception management. The process required twenty three full-time staff, had high error rates, and created operational risk. The bank needed automation without the two-year technology programme.

What we did

Ziqsy Partners mapped the process end to end, identified the automation candidates, and built a hybrid solution: AI for pattern matching and data extraction, human team for exceptions and complex cases. We embedded for five weeks, trained the AI on the bank's data, and handed over a working operation.

The outcome

The process now runs with twelve staff instead of twenty three. Error rates are down. Exception handling is faster. The bank has a scalable model they are replicating to other middle-office functions.

Abstract financial data visualization
47%Efficiency gain
12 vs 23Staff vs previously
5 weeksSprint duration
Case study 03

Retail Bank CX Enhancement

Financial services
Sprint: 6 weeks
Customer experience

The situation

A retail bank was struggling with customer service consistency across channels. CSAT scores were below industry average. Operational costs were rising due to repeated contacts and complaint escalation. The bank needed a root-and-branch fix, not a training programme.

What we did

Ziqsy Partners redesigned the customer service operation from the ground up. We mapped the customer journey, identified failure points, rebuilt the routing and escalation logic, and implemented AI-assisted first-line response. The human team focused on complex cases and relationship recovery.

The outcome

CSAT scores improved by thirty eight percent within one sprint. Operational costs dropped by fifteen percent as first-contact resolution improved and repeat contacts fell. The model is now the standard for the bank's other customer-facing operations.

Customer experience moment
+38%CSAT improvement
-15%Operational cost reduction
6 weeksSprint duration
Case study 04

Corporate Banking Automation

Financial services
Sprint: 4 weeks
Compliance automation

The situation

A corporate banking division was processing KYC and AML checks through a legacy workflow that took days per case. Compliance accuracy was variable. The risk of regulatory breach was rising. The bank needed speed and consistency without replacing their core systems.

What we did

Ziqsy Partners built a hybrid automation layer on top of existing systems. AI handles document extraction, pattern matching, and initial risk scoring. The human team reviews exceptions and handles complex cases. We integrated with the bank's existing technology stack rather than replacing it.

The outcome

Processing time dropped by sixty five percent. Compliance accuracy reached ninety nine percent. The automation layer is being extended to other compliance workflows across the division.

Precision automation detail
-65%Processing time reduction
+99%Compliance accuracy
4 weeksSprint duration
82 to 88%Cost savingsvs in-house build (Code Nutrition)
47%Efficiency gainInvestment bank process automation
+38%CSAT improvementRetail bank customer experience
-65%Processing reductionCorporate banking compliance

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