custom Systems and AI, built around your work
AI agents, workflow automation and internal tools, built around your work. Start with one process and a fixed written quote.
What we build.
Six kinds of system, each scoped to a process you already run and wired into the tools you already use.
AI agents
For work that means interpreting documents or choosing between tools.
Workflow automation
For a repeatable sequence, connected across the tools you already use.
Lead systems
Lead generation, wired into the tools your team already works in.
Content pipelines
Content moving through agreed steps, with review points where a person decides.
Internal tools
Software for your own team, scoped to one process.
Document processing
Documents read and structured, with agreed handling for incomplete data.
Not sure which one fits? AI agents versus workflow automation
- after a 30 minute call
- Fixed quote
- scope, price and delivery
- In writing
- no public package price
- Per project
How a project runs.
start with a Process
Bring a recurring task, the information it uses and the person responsible for its result. The first conversation sets what needs to happen, where a person reviews it and what a useful output looks like.
choose the level of Automation
A repeatable sequence can use a workflow. A task that requires interpreting documents or choosing between tools may need an AI agent.
agree a fixed Quote
Scope, price and delivery are agreed in a fixed written quote after a 30 minute call. The systems and access are agreed before building.
deliver a concrete Output
An internal tool, a connected workflow, a document processing system or a lead and content pipeline.
our own Catalog
The Qubba PR catalog turns a publication dataset into searchable pages and an order builder. It is our working example.
- RecordsA publication dataset
- InterfaceSearch, filters and price tiers
- OrderA proposed order and its quote
It demonstrates a structured workflow using our own product. It is not a client case study or a claim about client revenue.
Limits, stated up front.
What an AI system can promise is agreed before it is built.
Checks
AI outputs need checks appropriate to the task.
Demonstrations
A successful demonstration does not establish accuracy on every future input.
Acceptance
Acceptance examples, review points and the handling of incomplete data are defined when the project is scoped.
Review
Where a person should review the work is set in the first conversation, before anything is built.
Before the first call
How is a system priced?
Per project.
Scope, price and delivery are agreed in a fixed written quote after a 30 minute call. There is no public standard package price.
What should we bring to the first call?
A recurring task, the information it uses and the person responsible for its result.
You leave the call with a map of where to start and a scoped quote within a few days.
Do we need an AI agent or a workflow?
A repeatable sequence can use a workflow. A task that requires interpreting documents or choosing between tools may need an AI agent.
AI agents versus workflow automation
Will the AI always be right?
No.
AI outputs need checks appropriate to the task, and a successful demonstration does not establish accuracy on every future input. Acceptance examples, review points and the handling of incomplete data are defined when the project is scoped.
Can we see an example?
Our own: the Qubba PR catalog turns a publication dataset into searchable pages and an order builder.
It is not a client case study or a claim about client revenue. See the catalog system
Further reading
- Inside Qubba's publication catalog
- AI agents versus workflow automation
- What AI automation is, with examples
- How to build an AI agent
- What an AI agent costs to build and run
- AI lead qualification
- CRM automation
- Intelligent document processing
- Invoice processing automation
- Human in the loop AI: where people stay in charge
- AI implementation, step by step
- Prompt caching explained