From smart assistants to autonomous agents — training, automation, integrations and tools, all scoped to what you actually need.
Hands-on, practical training that gets your team using AI agents with confidence in their actual day-to-day work — not a generic "intro to AI" talk. We start with how your team really works, then teach the specific prompts, workflows and tools that solve their real problems. No developer background required, no jargon.
Teams know AI exists but don't know where to start, worry about getting it wrong, or have sat through generic training that didn't stick because it wasn't built around their actual job.
No cookie-cutter courses. We design custom AI workshops and hands-on practice sessions built entirely around your team's current workflows, technical comfort level, and specific operational goals.
Bandorini is actively training its own cohort of AI practitioners right now — so what we teach is grounded in what's actually working, not what worked on a slide two years ago.
AI agents that take on the repetitive parts of your operations — pulling data, drafting reports, routing approvals, flagging exceptions — so your team spends time on judgement calls, not data entry. Built around the tools you already use rather than forcing a rebuild.
Repetitive manual work is eating staff time, but hiring another person for it isn't realistic or worth it.
1–2 week discovery to map the current process, then a 3–6 week build depending on complexity, then a short handover and training period.
Bandorini Market App is a live example of this pattern at scale — it runs an entire analysis-and-reporting workflow across 13,000+ equities on an automated schedule, twice a week, built to detect and recover from problems fast.
We connect AI to the data you already have — spreadsheets, databases, APIs and MCP integrations — and turn it into automatic reports, dashboards and summaries, so you get answers instead of raw numbers to dig through yourself.
The data exists, but nobody has time to turn it into something useful — reports are manual, late, or inconsistent from person to person.
Discovery to map your data sources, then a build phase scoped to the integration's complexity. Similar shape to Workflow Automation — typically 4–8 weeks end to end.
Bandorini Market App: 13,000+ securities analysed and turned into structured reports, automatically, twice a week. This live application represents our core mastery: taking massive datasets and engineering them into hyper-reliable, self-running business assets through PhD-level applied data science.
Agents, websites, tools, integrations and APIs, scoped to what you actually need — not an off-the-shelf package stretched to fit. If you have a specific business problem and the existing tools don't solve it cleanly, this is the engagement for you.
A business need that doesn't fit standard software, but doesn't need — or justify — an expensive in-house dev team either.
A scoping call, a fixed-scope build quote, then build and delivery. Timeline depends entirely on the scope — we're transparent about complexity upfront.
Bandorini Market App was built entirely custom — full-stack, from zero to a live product with paying subscribers, built solo using AI development tools throughout.
Speeding up legacy code work and migrations using AI coding tools, so old codebases stop being a no-go zone for the team. We use AI-assisted development throughout — the same approach we use to build and maintain our own systems.
An old codebase nobody wants to touch, slow manual migrations, or technical debt that's blocking new features and costing more to maintain than to fix.
Codebase audit, migration plan, then AI-assisted execution in stages — with clear milestones and documented handovers.
Bandorini Market App's own model migration — moving from its current AI layer to a new provider — is the next project after this website launches. We'll document it openly as it goes.
Custom chatbots and AI assistants for your website, support inbox, or internal tools — trained on your own content and documents, so customers and staff get accurate, on-brand answers instead of generic ones.
Customers or staff keep asking the same questions, and there's no one available to answer them instantly — outside office hours, or at scale.
A scoping call to define what the chatbot needs to know and where it lives — website, WhatsApp, internal tool — then a build phase to train it on your content, followed by testing and handover.
This is a new and growing offering. We'll update this section with a real-world example as soon as the first engagement is complete — reach out if you'd like to be our first.
Tell us about your business and what's slowing you down — we'll figure out the right starting point together, in a free, no-obligation call.
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