Moonboat · AI-native software company
We work with your team to design, build and integrate tailored software that brings AI into your business operations and helps your people work effectively with it.
People. AI. Software. One connected workflow.
AI-native software · Forward-deployed engineering
We work closely with your team, from understanding the operation to building, integrating and supporting the software in daily use.
Ready-made software. Tailored to your business.
Begin with our connected P001–P003 route, or combine reusable software modules with tailored engineering for a wider AI transformation.
Our reusable P001–P003 modules show one connected workflow: enquiry intake, evidence review, a human decision and approved follow-up. We configure and integrate this starting route around your business.
Enquiry → evidence → decision → follow-upWe combine ready-to-configure software modules with tailored engineering, connect them to your existing systems and redesign workflows across teams. Where useful, we build authorised overnight workflows to review agreed records and prepare a morning brief.
Configured modules · connected systems · human–AI operations · continuous evolutionStart with ready-made modules, adapt them to your workflows and access rules, then extend into departments with tailored software. Dynamic Configuration keeps the system aligned as business priorities change.
Important work can slow down across inboxes, documents, disconnected tools and handoffs between teams.
Moonboat works with the people closest to the process, then brings human judgement, AI, agents and software together to help the work move with clarity.
Our forward-deployed engineering method
We design nine capabilities around your business, then combine them in the order your operation needs. These capabilities are a starting framework. We design additional workflows, integrations and software around your business needs. Each step shows what we do, what the software does and what your team gets.
We turn a leadership goal into one business result worth improving.
Records the target, baseline, evidence, owner and measure.
One agreed starting point and a clear way to measure progress.
We follow real cases with the people doing the work.
Maps tasks, handoffs, waiting time, rework and exceptions.
A clear picture of where work slows down and why.
We define the customers, teams, projects, decisions and risks that matter to the business.
Connects them through shared records, relationships, owners and status.
People and AI work from the same business context.
We agree which records the system may access, who can see them and how changes are recorded.
Customer-approved permissions control access. The ledger records each source, decision, owner and change. Data stays in customer-controlled systems or an approved environment; it is never reused for another client.
A secure, traceable record of what happened and why.
We design the department’s workflow from first request to completed outcome.
Routes records, tasks, AI recommendations, approvals and exceptions to the right owner.
One visible operating system for the whole team.
We agree what the night shift reads, what it checks and which actions need human approval.
It links sales, meeting and delivery updates to customers and projects, flags overdue work, data gaps and risks, then prepares the CEO morning cockpit and each team’s action queue. Every finding links to its source. Customer permissions stay in force; people approve decisions and external actions.
Leaders start with progress, risks and decisions due. Employees start with the next actions to take.
We design the business, data and system plans, then build and connect the agreed workflow.
Integrates approved tools, configures AI tasks and tests permissions, errors, human review and acceptance measures.
Working software that fits the company’s systems and agreed scope.
We train each role to break down complex tasks, guide AI, check evidence and handle exceptions.
Shares proven team methods, review queues and feedback from real outcomes.
Every employee can draw on the methods and decision support of your strongest performers—with human judgement intact.
We review business results, quality, speed, exceptions and employee feedback, then choose the next improvement together.
Dynamic Configuration versions and tests changes to workflows, rules, models and agents before release.
A system that adapts as the business changes, with every update owned and traceable.
Business rules, workflows, models, agents, tools, interfaces and approvals are shaped for each organisation. Add a starting workflow, extend into departments and connect wider operations as the business grows.
The shared software foundation
P001–P003 · Starter route
Our ready-made modules connect enquiry intake, evidence review, a human decision and approved follow-up. We configure and integrate this foundation around your business.
New enquiries arrive with incomplete information, while valuable opportunities compete for attention in a shared inbox.
Captures the enquiry, organises the business context, highlights missing information and prepares a clear next step for a person to review.
A structured starting point for customer discovery and opportunity follow-through.
Important claims, conflicts and unknowns are spread across enquiries, documents and research.
Organises source material, separates evidence from interpretation and keeps decisions with their context and rationale.
A reviewable record that helps people make and revisit informed decisions.
A qualified opportunity is approved, but ownership and follow-up can still disappear into inboxes and memory.
Prepares approved next actions, keeps ownership visible and records follow-up status and responses.
A clear handoff from a reviewed opportunity to accountable follow-up.
The Opportunity Lens
Use a few operating inputs to create an illustrative diagnostic. It is a starting point for investigation, not a financial promise.
See how a new enquiry becomes an evidence-backed, human-approved next action.
Illustrative diagnostic, not a profit forecast. Real workflow data, risk and implementation constraints must be validated before investment.
How we work
We focus each project on the workflow and outcome your team wants to improve.
Business context, judgement and accountability stay visible throughout the work.
We support adoption, learn from operations and shape each improvement around useful results.
How buyers can engage
We begin with one business workflow, make its evidence and controls visible, then help the team expand the system as results and priorities develop.
Work with us to map one workflow, understand its current results and shape how people, data and AI can help it move forward.
We configure and build software around your workflow, bringing together AI, agents, data and existing tools with clear permissions and human review.
Bring the system into day-to-day work, connect the required tools and support the people using it. We review results and shape the next improvements together.
We agree scope, data access, acceptance criteria, responsibilities and commercial terms with your team before work begins.
Founder-led delivery
Ling He — Founder, Moonboat
Ling He is the founder of Moonboat and a management consultant. With an MA in Management Consultancy and an academic background in psychology and philosophy, she is preparing to begin a further master’s degree in AI, Ethics and Society.
Her longstanding interest in human judgement, technology and how organisations evolve is central to Moonboat’s thinking: start with the work that matters, use AI with clear human responsibility, and build intelligent systems that are useful, trustworthy and grounded in real business practice.
AI works inside the system. Human responsibility stays visible.
Business Enquiry
Tell us about your business and what you want to improve. A software engineer will work with you from the first conversation to understand your operation and shape a practical next step.
Name, company and work email are enough to begin. Add as much or as little context as you like; we can work out the right questions together.