Internal tools development
Internal tools your team can work with.
When spreadsheets, email and disconnected systems make a workflow hard to manage, a focused internal application can help. I build custom tools for your team, with AI where it serves a clear purpose.
Discuss your projectThe workflow
Make the next step clear.
We map who supplies the information, who reviews it and what happens next. The application gives people a shared view of the work, with explicit statuses and permissions.
Possible scopes include request and approval tools, document processing workspaces, operations dashboards and interfaces for existing systems. These are examples, not claimed client results.
- Request and approval workflows
- Document processing workspaces
- Operational dashboards
- Interfaces for existing business systems
Your systems
Connect the tools you already use.
A new interface is useful only if the information behind it is dependable. We review your APIs, data sources and access requirements, then decide whether to extend an existing system or build a focused application alongside it.
AI can assist with search, extraction or drafting. Business rules, authorization and consequential actions remain explicit, with review steps where the workflow requires them.
- API and database integrations
- Role-based access and review steps
- Optional AI search and extraction
- Clear statuses and recoverable errors
Delivery
Start with one process you can measure.
A small first scope makes the project easier to evaluate: one team, one workflow and agreed acceptance criteria. We can compare completion time, manual steps or error rates using a baseline you provide.
You work directly with Omid Bicker. The proposal defines the deliverables, deployment, access, documentation and handover, plus any ongoing maintenance agreement.
- Workflow and integration assessment
- A bounded first release
- Acceptance checks with your team
- Handover and maintenance scope
Product engineering you can inspect.
Sano Work is our own native AI workspace for macOS and Windows. Explore the product to see the kind of interfaces, document workflows and agent systems we build. This is our own product, not a client case study.
Explore Sano WorkHow your project starts.
01 · Discuss the workflow
Describe the task, users, existing systems and constraints. We identify a useful next step.
02 · Agree the scope
We define deliverables, integration boundaries, acceptance criteria and cost for a first release.
03 · Build and review
You review the application against agreed tasks. Deployment and handover follow the agreed project scope.
Questions before starting.
Should we use an existing tool or build a custom one?
If an existing product covers the workflow and fits your requirements, it may be the better choice. Custom development makes sense when the process, integrations or access rules need behavior that available tools cannot provide economically.
Do internal tools have to include AI?
No. A clear interface and dependable workflow can solve the problem without AI. We add AI only for tasks with an identifiable benefit, such as searching documents or extracting fields.
Can you connect to our CRM, ERP or databases?
We assess the available APIs, authentication and data-access rules first. Integration scope and constraints depend on your actual systems, so they are defined before implementation.
What will the project cost?
The proposal depends on the workflow, integrations, number of user roles and operational requirements. We define a useful first release before estimating the development work, hosting and any recurring model costs.
Who maintains the tool after launch?
We agree on deployment, documentation, handover and support in the proposal. Ongoing maintenance can be scoped separately; it is not assumed to be included indefinitely.
Related services.
Custom AI applications
You have a process, a set of documents or a product idea. I turn it into a custom AI application with an interface people can use, integrations that fit your systems, and clear control over what the AI can do.
AI agent engineering
Agents with tools, permissions and explicit approval steps.
What workflow do you want to improve?
Discuss the task directly with Omid. A description of the workflow, users and existing systems is enough for the first conversation; confidential documents are not needed.
Discuss your project