Sam Wilson

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Tax Advisory: Managing Tax Audits with Confidence

A tax audit by the tax authorities is a stress test for every client — and an intensive, months-long process for the advising firm. Auditors ask questions, request evidence, challenge accounting logic. Every request must be answered precisely, every piece of evidence located in the records. For complex clients with years of transaction history, this is demanding — and mistakes can be expensive.

Private Bank: KYC Reviews Without Compliance Backlogs

A regional bank with 45 branches and 1,200 employees must screen every new business and private client under Anti-Money Laundering (AML) regulations. A complete KYC file includes ID copies, articles of association, beneficial ownership declarations, credit data, and transparency register extracts. A full review previously took 4–6 working days — a significant hurdle that drove good corporate clients to competitors.

Accounts Payable: Automate Invoice Processing and Three-Way Matching

A mid-sized corporate group with 5 entities and 350 employees receives around 2,200 incoming invoices per month — from suppliers, service providers, subcontractors. Every invoice must be matched against the corresponding purchase order and goods receipt (three-way match) before payment approval.

Marketing: Systematically Turning Customer Feedback into Product Decisions

A consumer goods manufacturer with 200 employees sells across multiple channels — own shop, Amazon, retail partners. Around 1,400 customer reviews, 600 support tickets, and 200 NPS comments arrive each month. This data contains valuable insight: What irritates customers? What do they praise? Where does the product lose to competitors?

Management Consulting: Win More Tenders with AI-Powered Proposals

A mid-sized management consultancy with 35 consultants responds to 60–80 tenders per year — from government agencies, municipalities, and corporations. Each proposal ties up 2–3 consultants for 5–10 days: tender analysis, concept development, reference compilation, pricing, copywriting. With a win rate of 25%, 75% of that effort generates no direct return.

Law Firm: Case Research in Seconds Instead of Hours

A law firm with 35 attorneys and 20 years of case history holds enormous institutional knowledge — briefs, judgments, expert opinions, internal memos. Until recently, that knowledge was practically invisible: anyone wanting to know whether the firm had handled a similar case had to ask colleagues or spend hours searching through folders.

Logistics: Detect Delivery Disruptions Before They Escalate

A logistics provider with 300 employees coordinates 2,400 shipments per day for 120 business clients. Disruptions — delayed delivery, customs issues, vehicle breakdown, weather — are unavoidable. The question is whether you detect them early enough to offer alternatives before the client calls.

Shopfloor: Work Instructions and Fault Resolution Directly at the Machine

A manufacturing company with 350 employees produces variant-rich components for the automotive industry across 5 production lines. Each line operates with detailed work instructions, inspection plans, safety procedures, and fault resolution guides. These documents lived in paper binders at the line — outdated, hard to find, circulating in different versions.

Retail: AI Customer Service That Actually Knows the Answers

A retail chain with 120 stores and a growing online shop receives around 800 customer contacts per day — via chat, email, and phone. 65% are standard enquiries: delivery status, returns, product availability, opening hours, voucher conditions. A call centre of 15 staff handled these contacts — during peak season, wait times reached 18 minutes.

Running LLMs Locally: What You Need to Know

Just two years ago, running large language models locally was the preserve of research teams with high-performance computers. Today, Llama 3 runs on a MacBook Pro. What changed — and what does it mean for businesses?

Talent Acquisition: Structured Application Review Without Bias Risk

A manufacturing company with 800 employees receives around 2,400 applications per year for 85 open positions. The HR team of 5 was overwhelmed by the sheer volume: completeness checks, first-round screening, communication, coordination with departments. Qualified candidates waited up to 12 days for an initial response — in competition for skilled workers, a decisive disadvantage.

Insurance Broker: Intelligently Processing Claims

An insurance broker with 60 employees serves 8,000 private and commercial clients. In the event of a claim, 30–50 reports arrive each day — by email, fax, and client portal. Each report must be reviewed, assigned to the correct insurer, checked for completeness, and documented. This tied up three full-time employees — and the process was error-prone.

Schools: AI Supports Teachers with Marking and Lesson Planning

A vocational school with 80 teachers and 2,400 students faces the same problem as many schools: teachers spend a disproportionate share of their working hours on administrative and repetitive tasks — marking, formulating feedback, lesson planning, documentation.

Construction: Project Coordination Without Information Loss

A mid-sized construction company with 180 employees runs 8–12 building projects simultaneously. Every site generates minutes, defect reports, meeting notes, variation orders, and emails daily. This information must be coordinated, documented, and preserved for billing.

Controlling: Faster Month-End Close with Automated Commentary

A mid-sized corporate group with 8 entities and 450 employees closes its books every month. Previously, this took 8 working days: reconciling entries, consolidating, analysing variances, writing the management commentary, preparing the presentation. The same process, every month.

Mechanical Engineering: Maintenance and Fault Analysis with a Local AI Copilot

A mid-sized machine manufacturer with 200 employees sells and maintains complex production systems. Its technical field service — 18 service engineers — works in a decentralized way: on-site at customer facilities every day, often with poor or no internet connectivity. When confronted with an unfamiliar fault, they used to call the home office or flip through paper manuals for hours. Design data, fault histories, and spare parts catalogues were spread across different systems — none of them usable in the field.

R&D Department: Analyse Patents Before It Gets Expensive

The R&D department of a mid-sized technology company with 450 employees develops proprietary sensors for industrial applications. Before every development project, patent searches must be conducted: are there existing patents that could block our planned solution? (Freedom to Operate) What white spaces in the patent landscape could we occupy?

SoverIQ Stack: Architecture for Sovereign AI

The SoverIQ Stack is not a single application — it’s a layered architecture that integrates into existing enterprise environments without replacing them.

Manufacturing: Quality Control with Computer Vision

A mid-size automotive supplier produces over 50,000 plastic parts daily. Defective parts must be reliably identified — previously through manual visual inspection, with the associated error rate and personnel overhead.