Fifty-plus Claude deployments across financial services, legal, healthcare, and manufacturing. Here's what we built, how long it took, what it cost, and what actually happened in production.
A Tier 1 investment bank had a problem: their compliance documentation process required analysts to manually review and annotate 400-800 pages of regulatory documentation per quarter per desk. Senior analysts were spending 30-40% of productive time on work that was fundamentally pattern-matching against known regulatory frameworks.
We designed a Claude Sonnet API integration with a custom MCP server connecting to the bank's regulatory document management system. The architecture included a tiered review model — Haiku for initial classification and tagging, Sonnet for analysis and annotation drafting, with human review at defined confidence thresholds. The entire system was deployed within the bank's AWS VPC with zero-data-retention configured.
The deployment ran from discovery to production in 74 days. The compliance team went from reviewing 400-800 pages manually to reviewing and approving AI-generated annotations in under 20% of the previous time investment. The bank's CISO approved the deployment after a 3-week security review — faster than any previous AI vendor assessment at the firm.
If you're evaluating Claude for financial services compliance workflows, our Claude security and governance service covers the full regulatory framework.
A 600-attorney US firm needed to accelerate first-pass contract review for M&A due diligence. Associates were spending 60-70% of initial deal weeks on document review that could be standardised. We built a Claude Sonnet API integration with MCP servers connecting to the firm's document management system and precedent database.
A large NHS Trust needed to reduce the documentation burden on clinical staff. Clinicians were spending 35-45 minutes per patient encounter on documentation — time taken away from patient care. We deployed Claude Cowork with custom plugins connecting to the Trust's clinical systems, with role-based access controls and full audit logging.
A Tier 1 automotive supplier with a large embedded systems engineering team wanted to accelerate development velocity without compromising the quality standards their OEM customers require. We deployed Claude Code across their engineering org with custom CLAUDE.md configurations, CI/CD pipeline integration, and a developer enablement programme.
A mid-sized commercial insurer had claims processing that required coordination across 6 internal systems. We designed a multi-agent Claude architecture using the Agent SDK — an orchestrator agent managing sub-agents for document parsing, policy lookup, fraud signal detection, and reserve calculation — all connected via custom MCP servers.
A Magic Circle firm's litigation practice needed a way to search and synthesise precedent across a 40-year document archive that had never been properly indexed. We built a RAG system on Claude Sonnet with a vector database holding 2.8M document chunks, with MCP server integration into the firm's matter management system.
A top-10 global pharmaceutical company needed to accelerate the preparation of regulatory submissions across 6 jurisdictions. Each submission type had unique format requirements, language standards, and review protocols. We deployed Claude Enterprise with multi-region configuration and submission-specific prompt architectures for each regulatory body.
A London-based PE firm needed to improve deal team productivity across research, memo drafting, and portfolio monitoring. We deployed Claude Cowork across the 180-person team with custom connectors for Bloomberg, the firm's data room platform, and their internal CRM — plus Dispatch configuration for mobile access during portfolio company visits.
A major industrial OEM had 2.4M lines of COBOL running mission-critical manufacturing execution systems — code written between 1978 and 2003. We ran a structured code modernisation engagement using Claude Code to analyse, document, and incrementally rewrite the highest-risk components, with full test coverage generated alongside each migration.
A global law firm building internal Claude capability for their technology and innovation team needed to certify their senior technical associates through the Claude Certified Architect programme. We ran a 6-week intensive CCA preparation programme covering all 5 exam domains, with live architecture workshops and practice examination sets.
Most Claude consulting engagements fail at the same points. The ones we run don't. The difference is methodology, not intent. Here's what we do differently.
Our approach was developed across 50+ deployments and distilled into a repeatable framework that our Claude strategy engagements use as the starting point for every project. The framework isn't about process for process's sake — it's about eliminating the specific failure modes that kill Claude projects at each stage.
If you want to understand why a previous Claude project didn't reach production, the answer is almost always in one of the five stages below. Book a call and we'll tell you exactly where it broke.
Use case selection and security requirements gathering before any architecture is proposed. The POC graveyard is full of architectures built before the actual requirements were understood.
Security architecture is defined at the start, not retrofitted at the end. Every deployment is reviewed by our security team before a single line of production code is written.
We build for production, not for demo. Observability, rate limiting, error handling, cost controls, and audit logging are designed in from the start — not added before go-live.
Every deployment has a defined measurement framework before rollout. We don't declare success based on anecdotal feedback — we track specific metrics from the first production day.
Every engagement ends with your team owning the system. Documentation, training, and CCA preparation are built into every engagement scope.
Most AI projects fail in POC. Ours don't. A 30-minute call with a Claude Certified Architect costs nothing and gives you a clear view of what deployment would look like for your organisation.
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