AI consulting that turns ambition into outcomes

Operations managers running security patrols, logistics, cleaning, facilities, aged care, construction and events were flying blind. The workforce was out in the field, but visibility lived in spreadsheets and phone calls, leaving managers unable to prove where teams had been or that the work was actually done, and clients waiting on answers.

We built a single source of truth across native iOS and Android apps and a web admin dashboard, all sharing one synchronized data layer. Teams are tracked on a live map, with GPS-verified site visits, shift timing logged to the second, automatic distance calculation between stops, photo-and-text daily reports, and incident logging tagged with priority and location. Multi-tenant administration lets one operator oversee many partners, and push notifications keep the right people informed. The apps shipped to the App Store and Google Play.

A thriving ethnic-wear workshop was still run on paper and memory. Fabric stock, costing, material issue, production, dispatch and returns lived in disconnected ledgers: error-prone, impossible to audit, and invisible in real time, with every rupee changing hands across many people on a busy shop floor.

We put the whole operation on the device everyone already carries. The PWA spans 18 modules, from fabric receipt, designs and cost sheets through orders, material issue, production, QC and packing, to dispatch and returns, with four role-based permission groups so each person sees exactly their part. Critically, the controls live in the database, not just the screen: stock can never go negative, production stages can never be skipped, and dispatch always carries a billing reference. We layered in Shopify order sync, on-the-floor camera capture for fabric, and an AI copilot with alerts grounded in a live snapshot of the workshop.

Families preparing children for Australia’s NAPLAN assessments, Years 3, 5, 7 and 9, were stuck with thin, static worksheets and almost no adaptive feedback to target where a student was actually struggling.

We used AI to generate and quality-assure more than 10,000 questions spanning numeracy, reading, language conventions and writing, then wrapped them in an experience that teaches: interactive practice with instant, plain-language explanations, plus full timed simulations that mirror real exam conditions.

Australians paid in company equity faced one of the messiest corners of the tax code. Working out ATO Employee Share Scheme income and Capital Gains Tax across dozens of vests and sales was manual, error-prone, and something almost no one could get right with confidence.

We built an AI-native application that takes in every vesting and sale event and computes ATO-compliant ESS income and CGT automatically, presenting a clear, defensible position for each event rather than a tangle of formulas.

Strictly vegetarian diners travelling the world had no reliable way to find genuinely pure-vegetarian restaurants. Mainstream directories quietly mixed in places with non-veg kitchens, turning every search into a gamble.

We built coverage across 100+ cities (Dubai, London, Singapore, New York, Melbourne and more), then pointed AI at the public review record to detect and flag likely non-veg operations. The whole product shipped ad-free, by design.

A mutual-fund practice wanted to feel modern to its clients: goal-based guidance, smooth onboarding and timely nudges. But it couldn’t justify the cost, time and friction of building native mobile apps to get there.

We delivered it as a Progressive Web App: goal-driven investment strategies, client onboarding, team profiles, and a real-time push-notification layer that lands nudges straight on the client’s home screen. It installs like a native app, opens instantly, and needs no app store.

Publishing short-form video consistently is brutal: someone has to find timely topics, write tight scripts, produce the clips and ship them every single week. For a finance content operation, that meant a recurring time sink that quietly fell behind whenever the week got busy, and inconsistency is fatal to social growth.

We built an automated production line that runs itself on a schedule. It discovers trending topics from multiple sources (Reddit, search trends, YouTube and RSS), then uses Claude to draft a full batch of platform-native scripts and hashtag sets. The batch is pushed to Telegram for a human to review and approve in seconds, keeping editorial judgment in the loop, before the approved clips are produced and published as Reels to Instagram and Facebook. No video desk, no weekly scramble.

Growing a social account demands a steady stream of genuinely good posts, not filler. Doing that by hand is relentless, and most automation just spams low-quality output that erodes the very audience it’s meant to build.

We built an in-house demonstrator that closes the loop completely. On a schedule it picks from a library of themes, generates a batch of candidate posts with an LLM, then scores each one on hook strength, structure, shareability and quality (explicitly filtering out clichés, bait and fake statistics) before publishing only the strongest candidate and logging the result. It runs three times a day, with no human approval step and no external infrastructure to maintain.

Investors and analysts wanted disciplined, repeatable market signals but were trapped stitching together spreadsheets and eyeballing charts, and that analysis was stale the moment it was finished.

We built a family of always-current dashboards: a weekly internet and technology momentum portfolio driven by MACD; a global view issuing LONG / WATCH / FLAT calls across 14 major markets using EMA, MACD and RSI divergence; live Bitcoin, gold and silver signals with entries and timeframes; and a tool that turns raw company exports into multi-sheet fundamental dashboards on demand. Signal generation runs itself and refreshes on schedule.