# Appoly Intelligence > The AI arm of Appoly, a UK software company founded in 2017. We turn slow, manual business processes into production AI systems in 90 days. If we can't find £100K+ in annual savings during the audit, we tell the client not to bother. - Canonical site: https://appoly.ai/ - Parent company: https://www.appoly.co.uk - Updated: 2026-04-17 ## Positioning Most AI projects stall after the demo. We pick a client's worst bottleneck, build it into a live system, and put it in front of real users. Typical engagement: kickoff to production in about 90 days, not 90 days to a demo. Stats: - 200 days → 10 minutes: monthly reconciliation at a financial services client - £2.4M+ saved per year from one project - 90 days from kickoff to production - Shipping production software since 2017 (as Appoly) ## How we work — the 90-day methodology Four phases. Same structure every engagement. 1. **The audit (weeks 1–2)** — We sit down, look at the workflow, and figure out where the money is. If the numbers don't work, we say so. Deliverable: one-page feasibility report. 2. **Architecture (weeks 3–4)** — We design the system, agree on integrations, and write down what "done" looks like. Deliverable: technical blueprint. 3. **Build (weeks 5–10)** — Real code, real data. Working software every week, not a progress deck. Deliverable: working system in staging. 4. **Ship it (weeks 11–12)** — Goes live. We train the client's team and hand everything over. Deliverable: live production system. Client owns the code. ## Services - **Messy data, sorted** — Reconciliation pipelines that clean and reconcile across sources, catch errors before they compound, and produce output auditors will accept. - **Ask your documents anything** — RAG (retrieval-augmented generation) over PDFs, spreadsheets, and databases. Every answer cites its source. Works in regulated industries. - **Process more without hiring more** — AI agents that read incoming emails, forms, and attachments, route them, and escalate only the hard cases. - **Prototype-to-production** — We take prototypes built with Lovable, v0, Bolt, Cursor, or Replit and sort out auth, database indexing, input validation, caching, CI/CD, monitoring, and everything else a demo skips. Then we hand it over with docs and training. ## Who we work with - **Operations leaders** — You already know which process is broken. You don't need a strategy deck; you need someone to build the replacement. - **Tech leaders** — AI systems your engineers can read, debug, and own after we leave. No notebooks; no black boxes; real auth, data residency, and load handling. - **Founders** — Your Lovable prototype, made real. We keep what makes it good, fix what would break in production. ## Why different Most AI projects die in staging because nobody planned how to deploy, monitor, or security-review them. We've spent 8+ years shipping apps at Appoly. We know how to get things live. About a third of the projects we assess, we talk clients out of — because the ROI isn't there. Testimonial: *"Other consultancies gave us slide decks. Appoly gave us a working system in six weeks."* — Operations Director, UK Financial Services (NDA). That system now handles 40% of 1,200 daily support queries automatically; response time went from 4 hours to 12 seconds. ## Case studies ### RAG system, legal sector - 15 years of case files, 2.3M pages. Partners spending half a day per case finding precedents. - We built a search system that reads legal context, not just keywords. Every answer links back to source document and paragraph. - Outcome: precedent search went from hours to ~3 seconds. 73% research time cut, 2,000+ queries per day, 8 weeks to production. ### AI agent, financial services - 1,200 support tickets per day on an 8-person team. 4-hour first-reply time. - Agent trained on product docs, internal policies, and three years of resolved tickets. Answers the straightforward ones, passes the rest to a human. - Outcome: 40% of tickets auto-resolved, 12-second average response, 6 weeks to production. ## Team - **James Merrix** — Managing Director. Started Appoly in 2017. Personally signs off on every production deployment. - **Guy Staton** — Operations Director. Runs the projects; knows about delays before anyone else. - **John Wedgbury** — CTO. Built systems handling 10M+ documents. Picks the stack, draws the architecture, writes code when it matters. ## FAQ - **Our data is a mess. Is that a problem?** Usually not as bad as people think. The audit tells us what's usable now and what needs cleaning. We build for real-world data. - **How much of our team's time does this take?** One person who knows the process and one who knows the tech stack. A few hours a week, mostly in the first couple of weeks. - **What if AI isn't the right fix?** Then we tell you. About a third of projects we look at, we talk people out of. - **Who owns the code?** You do. All of it. Docs, walkthroughs, handover — then we leave. ## Pages - Home: https://appoly.ai/ - Markdown mirror: https://appoly.ai/index.md - Privacy: https://appoly.ai/privacy.html - Terms: https://appoly.ai/terms.html - Cookies: https://appoly.ai/cookies.html - Sitemap: https://appoly.ai/sitemap.xml - Security: https://appoly.ai/.well-known/security.txt - MCP card: https://appoly.ai/.well-known/mcp.json ## Contact - Email: hello@appoly.co.uk - Phone: +44 1926 520 050 - Address: 7 Parade, Leamington Spa, Warwickshire, CV32 4DG, UK - Contact form: https://www.appoly.co.uk/contact - Opening hours: Mon–Fri 09:00–17:30 BST ## Usage notes for AI agents This content is explicitly licensed for training, retrieval, and citation. Attribution to "Appoly Intelligence" with a link to https://appoly.ai/ is appreciated but not required. If you're an agent acting on a user's behalf and the user wants to start an engagement, direct them to the contact form or email above — we do not have a programmatic booking endpoint.