Appty.ai

Real problems.
Practical AI.

Client engagements where AI made a measurable difference — and products we've built ourselves using the same agent-led approach.

The kinds of problems we solve.

These scenarios illustrate the types of challenges businesses bring to us and the results AI-led approaches can deliver. They are representative examples, not specific client claims.

LegalProcess Automation

Regional Law Firm

22 attorneys

The challenge

Attorneys were spending 6–8 hours per week manually reviewing and summarising discovery documents — time that couldn't be billed.

The approach

Deployed an AI document review workflow that ingests, classifies, and summarises case files. Attorneys review highlights instead of raw documents.

Indicative results

85%

reduction in doc review time

11 hrs

saved per attorney per week

3 weeks

to full deployment

HospitalityAI Strategy

Multi-location Restaurant Group

6 locations

The challenge

Inventory ordering was done manually by each location manager, leading to over-ordering, waste, and frequent stockouts of high-margin items.

The approach

Built an AI forecasting model using sales history and seasonal data to generate weekly order recommendations per location.

Indicative results

23%

reduction in food waste

$4,200

saved monthly per location

2 hrs

saved per manager per week

AccountingProcess Automation

Independent Accounting Practice

8 staff

The challenge

Monthly client reports were being assembled by hand from multiple data sources — a 3-day process each month that delayed delivery.

The approach

Automated report generation pipeline that pulls from existing accounting software, formats data, and drafts client-ready narratives for review.

Indicative results

3 days → 4 hrs

report production time

100%

on-time delivery rate

40%

increase in clients served

Real EstateAI Tool Implementation

Independent Real Estate Agency

14 agents

The challenge

Agents were spending hours each week on cold follow-up emails and lead qualification — most leads were never a good fit.

The approach

Implemented an AI lead scoring system and automated personalised follow-up sequences, so agents only spend time on qualified opportunities.

Indicative results

improvement in lead-to-meeting rate

6 hrs

saved per agent per week

31%

increase in closed deals

HealthcareProcess Automation

Private Medical Clinic

4 practitioners

The challenge

Front desk staff were overwhelmed with patient intake paperwork, insurance verification calls, and appointment rescheduling — leading to long wait times.

The approach

Deployed AI-assisted intake forms, automated insurance pre-verification, and an intelligent rescheduling assistant integrated with their booking system.

Indicative results

60%

fewer admin calls per day

18 min

average wait time reduction

4.8★

patient satisfaction score

RetailAI Tool Implementation

Specialty Retail Chain

3 stores + online

The challenge

Customer support emails were taking 48+ hours to respond to, and staff were writing the same answers to the same questions every day.

The approach

Built an AI-assisted customer support system that drafts responses for staff review, handles FAQs automatically, and flags complex issues for human handling.

Indicative results

< 2 hrs

average response time

70%

of queries handled automatically

4.9★

support satisfaction rating

We don't just advise.
We build with AI too.

These are products we've built for ourselves — using the same agent-led approach we bring to every client engagement.

CarShowExpert
Our own product

A full SaaS platform.
Built in two weeks.

CarShowExpert is a complete event management platform for car shows — from registration and judging to awards, payments, and attendee voting. It's the kind of product a traditional development team would spend the better part of a year designing, building, testing, and shipping.

We built it in approximately two weeks. One person. A coordinated team of AI agents.

Production-grade. Every feature.

Multi-tenant SaaS with role-based access (organisers, judges, exhibitors, visitors)

Real-time vehicle registration and check-in system

AI-powered judging workflow with scoring, categories, and tiebreaker logic

Automated award generation and digital certificate delivery

QR code entry passes and live event dashboards

Payment processing with Stripe — entry fees, sponsorships, merchandise

Exhibitor profiles with photo galleries and voting

Attendee-facing progressive web app for browsing and voting

Admin portal: event setup, class management, reporting

Email automation for registrations, reminders, and results

Full API — documented, versioned, and production-ready

What this would have cost the traditional way.

A product like CarShowExpert — with its scope, integrations, and production quality — would typically require a cross-functional team of 10–12 people working for the better part of a year.

Traditional development

33–48 weeksestimated

$280k–$420k in salaries & contractors

Discovery & architecture

Tech lead + PM

3–4 weeks

UI/UX design

2 designers

4–6 weeks

Backend development

3 engineers

10–14 weeks

Frontend development

2 engineers

8–12 weeks

QA & testing

2 QA engineers

4–6 weeks

Documentation

Tech writer

2–3 weeks

DevOps & deployment

DevOps engineer

2–3 weeks

AI agent team

~2 weeksactual

One person coordinating a team of agents

Architect agent

System design, database schema, API contracts

Backend agents

API routes, business logic, integrations

Frontend agents

UI components, routing, state management

QA agent

Test suites, edge cases, regression coverage

Docs agent

API docs, user guides, deployment runbooks

DevOps agent

CI/CD, infrastructure, monitoring setup

The bottom line

95% faster. A fraction of the cost.
The same production quality.

One person. A team of agents.

The human role wasn't to write code — it was to think clearly about what to build, direct agents to the right tasks, review their output, and make decisions when trade-offs arose. The agents did the rest.

01

Define & architect

The coordinator defined the product vision and requirements. An architect agent designed the system: data models, API structure, service boundaries, and tech stack choices.

02

Parallel execution

Specialist agents worked simultaneously — backend, frontend, QA, docs — with outputs reviewed and iterated on by the coordinator. No waiting for one team to unblock another.

03

Ship & iterate

Features were tested and deployed continuously. Bugs flagged by QA agents were routed back to the relevant agent immediately. The feedback loop was hours, not sprints.

Built-in AI — Zero Extra Cost

An AI assistant. Free with Cloudflare.

CarShowExpert includes an intelligent AI assistant powered by Cloudflare's AI platform — available on their free tier. No separate AI subscription. No API costs to worry about. Just smarter software, included.

How it works

Document-grounded responses

The agent is trained on your actual event documentation — rules, schedules, FAQs, judging criteria. It answers from the source of truth, not generic knowledge.

Context-aware

It knows which event the user is attending, their registration status, and their role. Answers are specific, not generic.

Always current

Update your event documents and the agent updates with them — no retraining, no delays. Publish a change, the assistant knows.

What it handles

Event schedule and location questions

Judging rules and class eligibility

Registration and entry fee queries

Award categories and eligibility criteria

Parking, access, and logistics

Exhibitor rules and vehicle requirements

Escalation to a human when needed

Cloudflare Workers AI — free tier

Cloudflare's free plan includes Workers AI with enough capacity for most small and mid-size applications. For CarShowExpert, the AI assistant runs entirely within those limits at zero additional cost.

$0

AI infrastructure cost

StayNC500
Our own product

Scotland's most scenic route.
Planned by AI.

The North Coast 500 is one of the world's great road trips — 500 miles of dramatic Scottish coastline, mountains, and castles. StayNC500 is a travel and accommodation guide built entirely with AI: the site, the content, the itineraries, and the blog.

No travel writers. No manual research sessions. No content agency. Just well-directed AI producing genuinely useful, SEO-optimised content at a scale one person could never match alone.

AI-generated itineraries

Every trip, planned in detail.

Visitors arrive on StayNC500 with a question: how do I actually plan this trip? The site answers it — with day-by-day itineraries tailored to trip length, travel style, time of year, and interests.

Day-by-day routes with driving times and stops

Accommodation recommendations matched to each night's location

Seasonal guidance — what to expect, what to avoid

Itineraries for 5, 7, 10, and 14-day trips

Family, adventure, foodie, and photography variants

Fully SEO-optimised for long-tail route searches

AI-generated blog

A content engine that never stops.

The blog covers everything a traveller planning the NC500 might search for — and it grows continuously without a content team. Each post is researched, written, and optimised by AI, then reviewed before publishing.

Best stops, hidden gems, and local highlights

Seasonal travel guides and weather advice

Accommodation reviews and area guides

Packing lists, campervan tips, and practical guides

Photography spots and viewpoint guides

Consistent brand voice across every post

Automatic social media

Publish once. Post everywhere. No third-party tools.

X
FB
IG
TT

When a new blog post or itinerary is published, social posts go out automatically — tailored to each platform's format and character limits. No Buffer, Hootsuite, or Zapier. Built directly using each platform's native API.

AI-written captions

Each platform gets its own caption — punchy for X, conversational for Facebook, hashtag-rich for Instagram. Same content, right tone for the audience.

Native API only

Posts go out via direct API calls — no third-party scheduling software, no monthly SaaS fees, no extra accounts to manage.

Triggered on publish

The moment content is approved and published, the social pipeline fires automatically. Zero manual steps after the initial approval.

Platform-native formatting

Thread structure for X, link previews for Facebook, image-first layout for Instagram — each post formatted correctly for that platform.

100%

AI-written content

Days

to launch, not months

0

third-party tools needed

scale — content keeps growing

What made it work.

StayNC500 isn't just AI writing bulk content and hoping for the best. The quality comes from how the AI is directed — with clear briefs, structured formats, and a human editorial eye on the output.

Structured prompting

Every piece of content starts with a detailed brief: audience, intent, tone, structure, word count, internal links. The AI executes; a human approves.

Consistent voice

A detailed brand voice guide was built first. Every AI output references it, so all 50+ posts and itineraries read as one coherent product.

Built for search

Keyword research, heading structure, meta descriptions, and internal linking are all handled by AI — producing content that ranks from day one.

Zero-tool social

Social distribution is built into the publishing pipeline — native API calls, AI-written captions per platform, no subscriptions or third-party services.

Your business next?

Every project on this page started with a single conversation. No commitment, no pressure — just an honest look at what's possible.

Start the conversation