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Cross-border operations, complex systems and customer obligations change what a good AI decision looks like. We help leadership and delivery teams assess opportunities in the context of how their organisation actually works, and show working examples along the way.
From underwriting and claims to distribution and service, AI needs to work within the realities of insurance. We help teams examine where it can support decisions and workflows, how proposals stand up to scrutiny and what implementation requires.
Customer operations, internal knowledge and risk workflows all present opportunities for AI. The right decisions account for sensitive data, existing controls and the complexity of delivering across markets and business lines.
Investment teams and advisers work from long documents, fast-changing data and client relationships that span years. We help them assess where AI can speed up research and preparation while keeping recommendations traceable to their sources and inside suitability rules.
Charities, schools, parent associations and community groups compete for funding with limited time and few specialist staff. We help them use AI to find the right funds, check eligibility and prepare stronger applications, with every claim checked before it is submitted.
Knowledge-intensive work demands careful judgement about evidence, confidentiality and accountability. We help teams evaluate AI across research, document workflows and client delivery while keeping professional judgement central.
Large families of brands connect commercial decisions, operations and customer insight across regions. We help teams assess AI opportunities against those dependencies and focus effort where there is a clear business case.
Networks of suppliers, systems and geographies make promising demonstrations difficult to put into practice. We help teams review AI for planning, operational knowledge and exception handling in the context of their data and existing workflows.
Each use case is built on a Patchworks app we can demonstrate, using synthetic or fictional data. They show what AI can do in a real workflow, and where a person still needs to decide.
All use casesFeatured
Launch, share and govern your organisation’s own AI-built apps from one place, under one sign-in.
Follow a first notification of loss as it happens: draft the claim, track the checklist and coach the handler.
Check claim files against policy thresholds, dates and cover rules, with every answer carrying its own probability.
Broker quotes and mid-term policy changes, with the submission drafted and disclosures tracked as the call goes.
Account opening, disputed payments and financial hardship, with due diligence and fair treatment evidenced live.
Credit intake and annual reviews where the application or review memo is drafted from the conversation.
Help a relationship manager recall the last conversation, notice what has changed and prepare a cited shortlist.
Describe the fund you need and get a ranked, visual shortlist read from fund documents.
Type your organisation’s name and get a fundraising guide: funds open now, a twelve-month roadmap and drafted applications.
Match an organisation to a funding programme on eligibility, geography, award size and purpose.
Turn plain-language questions into typed answers with probabilities, and route the uncertain ones to a person.
Tell us what your organisation is trying to achieve, where its AI programmes stand and which decisions need a clearer answer.
A major energy company was losing £2.3M annually due to drilling inefficiencies. Their engineers spent 15+ hours weekly on manual Excel analysis, resulting in delayed decision-making and missed optimization opportunities that directly impacted the bottom line.
Rather than building a complex solution requiring new hires, we empowered existing engineers as citizen developers. We implemented a pragmatic AI solution that automated data collection, applied machine learning to identify optimization opportunities, and created real-time dashboards that translated technical data into actionable business insights.
Within 90 days, our solution delivered: 85% reduction in manual data processing time, 3.2x faster identification of drilling anomalies, and £1.2M annual cost savings from optimized operations. The client achieved full ROI within 5 months, with zero additional headcount required.
