From Appoly, shipping production software since 2017
Most AI projects stall after the demo. We pick your worst bottleneck, build it into a live system, and put it in front of real users. Takes about 90 days.
20 min call. We'll tell you if it's worth doing.
200 days → 10 min
Monthly reconciliation, financial services
£2.4M+
Saved per year from one project
90 days
Kickoff to production. Not to a demo.
Working with teams across finance, legal, and operations.
Client names under NDA.
Proof before pitch
Production outcomes, not pilot metrics.
Financial Services
200 days → 10 min
A monthly reconciliation that used to take the team all week. Now it runs before lunch.
Support Ops
4 hours → 12 seconds
Nearly half of incoming queries get answered without a human ever seeing them.
Legal Research
73% time cut
Partners used to spend hours finding relevant precedents. Now it takes a few seconds.
How we work
We've done this 40+ times. Same structure every time, because it works.
Week 1–2
We sit down, look at the workflow, and figure out where the money is. If the numbers don't work, we'll tell you.
→ You get: 1-page feasibility report
Week 3–4
We design the system, agree on integrations, and write down what "done" looks like so nobody's guessing later.
→ You get: Technical blueprint
Week 5–10
Real code, real data. You see working software every week, not a progress deck.
→ You get: Working system in staging
Week 11–12
Goes live. We train your people and hand everything over. You own it, we move on.
→ You get: Live production system
The audit takes two weeks. If we can't find at least £100K in annual savings, we'll tell you not to bother.
Start with the auditPrototype owners
Lovable, v0, Bolt, Cursor. They're good at getting you to a demo. They're not so good at auth, database indexing, or surviving actual traffic. We take your prototype and sort out the rest.
Prototypes skip auth, hardcode API keys, and trust all input. You can't ship that.
Your prototype works for you and your co-founder. What about 1,000 concurrent users?
CI/CD, monitoring, error tracking. Not a Vercel preview link you share in Slack.
We hand it over. Docs, training, the lot. It's your system.
We take prototypes built with Lovable, v0, Bolt, Cursor, and Replit and make them production-ready.
Get a prototype assessment →That reconciliation your team spends days on? We build a pipeline that does it in minutes and flags the exceptions.
— Cleans and reconciles across sources
— Catches errors before they compound
— Output your auditors will accept
Search across years of PDFs, spreadsheets, and databases. Every answer cites its source.
— Works with the formats you already have
— Shows where each answer came from
— Good enough for regulated industries
Emails, forms, attachments. The system reads them, routes them, and only escalates what it can't handle.
— Reads incoming content automatically
— Sends it where it needs to go
— Your team handles the hard cases only
Operations leaders
The spreadsheet that takes three people two days. The copy-paste workflow nobody wants to own. You don't need a strategy deck telling you it's inefficient. You need someone to build the replacement. We'll calculate the savings before we start.
Talk about your process →Tech leaders
You've sat through enough AI demos that fall apart the moment you ask about auth, data residency, or what happens at 10x load. We ship systems your engineers can read, debug, and own after we leave.
Talk architecture →Founders
It works in the demo. It impresses investors. But you know it's held together with Supabase defaults and a prayer. We keep what makes it good, fix what would break in production, and get it live.
Talk about your prototype →The model works. The proof of concept looks great. Then it sits in a notebook for six months because nobody planned how to deploy it, monitor it, or get it past security review. We've spent eight years shipping apps at Appoly. We know how to get things live.
2017
When we started
Appoly's been shipping production software for eight years.
90 d
Usual timeline
From first conversation to live system.
UK
Leamington Spa
Your data stays in the UK if you need it to.
"Other consultancies gave us slide decks. Appoly gave us a working system in six weeks."
Now handling 40% of 1,200 daily queries automatically. Response time: 4 hours → 12 seconds.
Two projects. Both live. Both under NDA, so no names.
RAG System · Legal Sector
73%
Research time cut
2,000+
Queries per day
8 wks
To production
15 years of case files. 2.3 million pages. Partners were spending half a day per case just finding the right precedents.
We built a search system that reads legal context, not just keywords. Every answer links back to the source document and paragraph.
Precedent search went from hours to about 3 seconds.
Get a similar audit →AI Agent · Financial Services
40%
Auto-resolved
12 sec
Response time
6 wks
To production
1,200 tickets a day landing on an 8-person team. Customers waiting 4 hours for a first reply.
We trained an agent on their product docs, internal policies, and three years of resolved tickets. It answers the straightforward ones and passes the rest to a human.
40% of tickets now close without a person touching them. Average reply time is 12 seconds.
Get a similar audit →Need deeper proof?
If you're serious, we'll share our delivery approach, security controls, and client references under NDA.
Request the pack →We've been building software together since 2017. AI is what we do now.
Managing Director
Started Appoly in 2017. Has personally signed off on every production deployment since. Worries about the things that break at 2am.
Operations Director
Runs the projects. If something's going to be late, Guy knows about it before anyone else does.
CTO
Built the systems that handle 10 million+ documents. Picks the stack, draws the architecture, and writes code when it matters.
Straight answers on timeline, risk, and ownership.
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, not the tidy version that only exists in a slide deck.
We need one person who knows the process and one who knows the tech stack. A few hours a week of their time, mostly in the first couple of weeks. We do the building.
Then we tell you. The whole point of the audit is to figure that out before anyone spends real money. About a third of the projects we look at, we talk people out of.
You do. All of it. We write docs, do walkthroughs with your team, and leave. If you never want to hear from us again, that's fine.
20 minutes on a call. We'll look at your process, tell you if it's worth automating, and give you a rough idea of the savings. If the numbers don't work, we'll say so.
Get in touch