Understand the work
Review the process with the people who know it. Identify systems, data, recurring difficulties and the outcome the business wants.
How we help
Start where your business needs help.
Make better use of your current ERP, fill a software gap or start with industry applications. We help define the work, connect the right systems and put AI digital workers to use, with people involved where decisions need them.
01
A way to begin
AI adoption study
Find where AI can contribute to your operations and what it will take to make it useful. Examine current processes, systems and data, then prioritise opportunities by business impact, effort and risk.
A good fit when
Discuss this starting pointTeams that need a clear starting point and a practical sequence for adopting AI.
What we work towards
- A map of relevant processes, systems and data readiness
- A prioritised set of use cases and implementation considerations
- A phased roadmap with an agreed first project
For example
Example: a food business compares purchasing, production planning and invoice processing to decide where its first AI workflow should begin.
02
A way to begin
AI workers for your existing ERP
Connect AI digital workers to the systems your teams already use. Define the steps they can carry out, the information they need and the decisions that should return to a person.
A good fit when
Discuss this starting pointBusinesses with established systems and repeated work that crosses modules or departments.
What we work towards
- A defined workflow with access, approval and exception rules
- An integration approach for the agreed systems and data
- Configured workers checked against representative business scenarios
For example
Example: a procurement Persona checks a request, gathers supporting information, routes approval and prepares the next update in a supported ERP.
03
A way to begin
Build the software your business is missing
Turn a process that has outgrown spreadsheets or email into a business application. Use AI-assisted development to create the required screens, data and workflows, connected to your existing systems and operated with AI digital workers.
A good fit when
Discuss this starting pointTeams whose important processes fall between the capabilities of their current applications.
What we work towards
- A scoped module with agreed data, screens and business rules
- Connections and handoffs to the relevant existing systems
- Workflow checks, user review and a defined launch plan
For example
Example: a restaurant group adds an outlet requisition module that coordinates requests, approvals and warehouse fulfilment with its current inventory system.
04
A way to begin
Industry-specific software that runs itself
Start with industry applications and adapt them to your operating needs. Bring together relevant modules, connected workflows and AI digital workers, with a clear view of existing capabilities and any additional work required.
A good fit when
Discuss this starting pointBusinesses looking for software shaped around their industry's processes and terminology.
What we work towards
- A fit assessment against your required industry workflows
- An agreed scope of available modules, configuration and additions
- A rollout plan for data, integrations, workers and user adoption
For example
Example: a catering business scopes recipes, planning and inventory workflows, then adds procurement coordination and exception handling around its operating rules.
From understanding to operation
A practical path to working software.
The scope starts with your business. The delivery plan follows from the systems, processes and outcomes we agree.
Define the scope
Agree responsibilities, business rules, integrations and approval points. Choose representative scenarios and decide how the result will be assessed.
Build and connect
Configure workers, develop required modules and connect supported systems. Review normal cases, exceptions and handoffs with the team before launch.
Launch and improve
Introduce the agreed scope, review what happens in practice and adjust the workflow. Expand when the business is ready for the next process.
Before we begin
Your starting point,
made clear.
Do we have to start with an AI adoption study?
If you already have a well-defined requirement, we can scope that project directly. A study is useful when the priorities, dependencies or starting point are still unclear.
Can we start with a single process?
Yes. A defined module or workflow provides a manageable starting point. We can identify its connections and leave a clear path for later expansion.
How do you decide what an AI worker can do?
We define its responsibilities, permitted actions and review points around your process. Business rules and exception handling guide which steps proceed and which need a person.
What determines the scope and delivery plan?
The processes involved, system access, data readiness, required modules and review requirements all matter. We establish these before agreeing a plan, rather than assuming every deployment is the same.
Let’s put it to work
What needs to work better?
An existing process, a missing module, or a new industry application. Let’s start with the business need.