Custom software
for operating problems.
What it is.
Custom software for the operational gaps a generic SaaS will never fill. Internal portals, request flows, dashboards, integrations, and AI assistants over your own content. The shape of the build follows the shape of the problem, not a vendor roadmap.
Every engagement starts with a paid discovery to write the brief properly. Builds are iterative, with working software in front of users early. The aim is fewer hours spent moving information around and clearer decisions made faster.
What it includes.
- 01 Discovery and shape A short, paid discovery to write the brief, the success measures, and the rough architecture.
- 02 Internal tools and dashboards Bespoke interfaces for the operational work that does not fit a generic SaaS.
- 03 Workflow systems Approval flows, request routing, and the small automations that absorb daily admin.
- 04 Integrations Clean connections between existing platforms, APIs, and data sources.
- 05 AI assistants Knowledge assistants and task agents trained on your approved material, behind your auth.
- 06 Hand-over and docs Source code, runbooks, and an honest hand-over so your team can take the wheel.
For businesses outgrowing spreadsheets and email threads.
The signal is usually the same. A core process lives in a spreadsheet, the inbox, and three people's heads. That worked at ten clients. It does not work at fifty. Custom software is the replacement for the system that quietly evolved on accident.
How it is built.
- 01
Discover
A paid discovery sprint to map the operational problem and the smallest useful build.
- 02
Design
Architecture, data model, interface sketches, and the integration plan.
- 03
Build
Iterative delivery in short cycles with working software in front of users early.
- 04
Operate
A handover plan and an optional support slot for the first months in production.
What it isn't.
- Open-ended R and D dressed as a project.
- Generic SaaS we just rebadge for you.
- Fully autonomous agents acting without review.
Engagement shapes.
-
Pilot
A four to six week build of one focused tool or workflow, validated with real users.
-
Full build
An eight to twelve week build of a connected internal system with integrations.
-
Operating partner
A retained slot for ongoing development, support, and quarterly architecture reviews.
Questions, answered.
- What kinds of tools do you actually build?
- Internal dashboards, request and approval workflows, AI assistants over your own content, and integrations between systems that do not talk to each other.
- How is this different from your AI-CRM and Internal Reporting services?
- Those are productised builds for specific operating problems. This service is the general-purpose track for everything that does not fit a productised shape.
- What technologies do you use?
- TypeScript, React, Node, Postgres, and the major LLM APIs. Modern, proven, and easy for any competent team to take over.
- How long does a typical project take?
- Pilot in four to six weeks, full build in eight to twelve. We agree the scope and the cadence in discovery.
- Do you provide ongoing support?
- Yes. An Operating partner slot covers ongoing changes, support, and architecture reviews.
- Can you build an MVP for my startup?
- Yes, where the brief is genuinely operational and not a thinly disguised consumer product.
- Who owns the code?
- You do. Source, repos, and accounts sit with you from day one.
If you are ready to operate differently, let's talk.
AI Adoption and Digital Systems for Businesses
Mapletree Studio helps businesses move from interest in AI to practical implementation through clear strategy, custom tools, workflows, and digital experiences.