Internal operations platform
A purpose-built workspace for operational knowledge, tasks, review queues and approved tool actions.
Build the software your business actually needs.
Custom AI-Native Software Development
Purpose-built AI-native software designed around how your business actually works.
- Business workflow
- Custom interface and knowledge
- Controlled AI and tools
- Human review and delivery
People, permissions and review rules stay part of the design.
Built for businesses with specialized workflows.
Businesses needing purpose-built applications or intelligent workflows that existing SaaS products do not adequately support.
- Your process spans tools that do not fit together.
- A generic AI interface cannot carry out your business workflow.
- Manual workarounds limit a specialized application or new product.
How the solution works.
We design software in which AI supports the application workflow rather than appearing as an isolated chat feature. Interfaces, knowledge retrieval, orchestration, permissions and human decisions are built together. Technical discovery establishes whether custom development is justified before a release is scoped.
AI-enabled business application
An application that retrieves relevant information, prepares work and routes decisions through a custom interface.
Custom SaaS MVP
An initial product release shaped around a specific user journey, with integrations and evaluation appropriate to its requirements.
What implementation includes.
The proposal defines which deliverables are included, the system boundaries and acceptance criteria.
- Technical discovery, workflow analysis and feasibility review
- Application architecture and incremental release scope
- Custom AI-native web interfaces and business logic
- Knowledge-driven capabilities and AI orchestration
- Permission-aware tool execution and human review
- Agreed APIs and application integrations
- Functional tests, AI evaluation and failure handling
- Deployment, documentation, maintenance planning and ownership handover
Integrate with clear boundaries.
Existing APIs, identity systems, data sources and deployment constraints are evaluated during discovery. Tool execution is permission-aware and consequential actions use agreed approval boundaries. Provider and hosting choices follow project requirements rather than a proprietary-technology claim.
What your team provides
- A business and technical decision-maker
- Representative workflows, user needs and data sources
- Integration and deployment constraints
- Acceptance criteria and a prioritized initial release
Agree the scope. Test the whole workflow.
Discover
Understand the problem, current workflow, source material and people responsible.
Design
Agree scope, architecture, integration access, safeguards and success criteria.
Implement
Build and integrate the solution. Test normal paths, exceptions and AI response quality.
Launch
Deploy, document and onboard your team with clear ownership and acceptance checks.
Optimize
Where contracted, monitor outcomes, update knowledge and improve reliability.
Define success before launch.
Select useful measures and a baseline together. These are potential outcomes to evaluate, not guaranteed improvements.
- Completion of agreed user workflows
- Application reliability and failure recovery
- AI output quality against evaluation criteria
- Operational adoption and handling effort, where measurable
Indicative pricing and delivery expectations.
- Technical discovery
- $1,000–$2,500
- One-time discovery engagement
- Initial custom release
- $12,000–$30,000
- Milestone-based project; larger projects scoped individually
Indicative prices in USD. Your proposal confirms scope, integrations, requirements and agreed deliverables. Third-party software, hosting and usage charges are identified separately.
Custom software follows separately agreed discovery and milestone-based development timelines. Timing depends on requirements, integrations, review cycles and release scope; no fixed delivery duration is promised.
An AI Readiness Review can help define feasibility. It is optional; you can enquire about implementation directly.
Questions before you commit.
When is custom software justified?
When a valuable workflow cannot be served adequately by existing tools or a focused integration. Discovery examines alternatives, feasibility and cost before recommending a custom release.
What does AI-native mean here?
AI is designed into the user workflow, knowledge access and application logic, with evaluation and oversight. The result is a useful business application, not simply a generic chat interface.
Can an agent take actions in our systems?
Where appropriate, tools can execute explicitly permitted actions. We design access boundaries, review steps, logging and failure behavior around the consequences of those actions.
How are releases scoped?
Discovery defines an initial useful release. Development proceeds through agreed milestones with stakeholder review and acceptance checks; new requirements are assessed as scope changes.
What budget should we expect?
Technical discovery is approximately $1,000–$2,500. An initial release is approximately $12,000–$30,000. Larger or more complex projects are individually scoped.
Who maintains the application after launch?
We agree ownership, deployment responsibilities, documentation and support terms in the project proposal. Ongoing maintenance can be contracted separately.
Discuss your software project.
Tell us where your team is losing time. We'll help identify whether AI support, workflow automation or custom software is the right approach.