3–4 days
Target launch for a simple website.
Software development
Custom software.
AI where it helps.
Build a custom web application around your users and everyday decisions. Add AI where it has a clear job to do, with the data, quality checks and human review defined before implementation.
Estimated delivery targets
Move quickly.
Keep the scope clear.
From idea to launch. Built at lightning speed.
Here is what a focused scope can look like.
1–2 weeks
A defined, straightforward software scope.
Around 1 month
A focused first release.
Estimated targets, confirmed after scoping.
Timelines depend on the agreed scope, ready content, integrations and timely feedback. For complex products, around one month means a focused first release, with the wider product roadmap scoped separately.
Start with the problem
A useful tool has
a clear job to do.
Not every business problem needs custom software. Sometimes a simpler process or a better configuration is enough. Discovery should make that decision clearer.
Where a custom build makes sense, define the essential workflow, the people using it and the information it needs before adding features. AI is an option to evaluate, not a reason to skip that work.
Internal toolsClient portalsBusiness workflowsScoped AI integration
- Replace the scattered workflowBring a defined process into one interface, with explicit statuses and a clear next action.
- Make the user journey understandableDesign around what people need to see, decide and complete, not just database fields.
- Connect only what is neededAssess existing systems, access permissions and integration limits before committing to a technical scope.
- Plan beyond the launchAgree documentation, ownership, deployment and maintenance responsibilities before handover.
Explore a starting point
Three ways to begin.
Scope, suitability and availability are discussed before any delivery commitment.
Web apps & MVPs
A testable first version of one important customer journey.
Explore MVP development →AI integration
Research support, document processing and assisted workflows, scoped around a specific task.
Explore AI integration →Automation & reporting
A clearer path from information arriving to the next useful action.
Explore automation →A proposed working approach
Clarity at every stage.
Deliverables and acceptance criteria are agreed per project. This is a working framework, not a fixed-price package.
Understand
Map the people, the problem and the constraints before choosing a solution.
Make it tangible
Explore a focused flow and an interactive prototype. Agree what matters first.
Build & test
Develop in reviewable stages, with acceptance checks tied to the agreed scope.
Launch & learn
Prepare a handover and a realistic next-step plan. Support is scoped separately.
Before we build.
How do we decide what belongs in the first version?
Start with one valuable user journey, the must-have information and a clear acceptance test. Separate essential requirements from assumptions and future ideas. The result should be a scope you can review and challenge.
Can the software connect to existing tools?
Potentially. Compatibility depends on the tools, available APIs, permissions, data quality and commercial terms. A discovery review comes before any integration commitment.
What about security, hosting and ongoing support?
These belong in the scope, not in the fine print. Access controls, data handling, testing, hosting ownership, backups and maintenance need project-specific decisions.
What can I explore in the showcase?
Explore Clientspace, Flowboard and Servicebook: three interactive concept demos with sample data. Feasivo is our real in-house AI product.
What would make your
business work better?
A new product, a disconnected workflow, or an idea worth exploring. Start with the problem, not a feature list.