AI Software Development
Custom business software that uses AI with clear inputs, review points and measurable acceptance criteria.
Build useful solutions
Build With AI
Build AI software, websites, applications, chatbots, agents, knowledge systems and integrations with NMR Infotech.
In brief
When does a business need a custom AI solution?
A custom AI solution can be useful when a repeatable workflow needs organization-specific data, permissions or integration that an approved off-the-shelf tool cannot provide. NMR Infotech scopes applications, assistants and integrations around permitted sources, representative tests and a clear human approval process.
- Examples
- A knowledge assistant, document workflow or AI-enabled business application.
- Define before building
- Users, permitted data, allowed actions, acceptance criteria and maintenance ownership.
Development services
What can we build together?
AI Website Development
Accessible websites with useful AI features such as approved-content search or guided enquiry workflows.
AI Application Development
Business applications built around a specific user task and the systems it needs to interact with.
AI Chatbots
Conversational interfaces grounded in approved information with clear handoff and escalation rules.
AI Agent Development
Task-focused agents with scoped tools, explicit permissions and human approval for consequential actions.
AI Automation
Automated workflow steps with observable outcomes, exception handling and a safe fallback.
AI Knowledge Systems
Permission-aware retrieval and summarization from an organization’s approved knowledge sources.
AI Integrations
Connections between AI capabilities and business systems through supported, authenticated interfaces.
Custom AI Solutions
A scoped solution for a defined business need, evaluated against your operational requirements.
From concept to operation
How does an AI project move forward?
- Define the task and constraintsAgree users, inputs, expected outputs, data access and acceptance criteria.
- Prototype the critical workflowValidate usefulness with representative permitted examples.
- Evaluate and implementTest correctness, failure handling, permissions, accessibility and integration behavior.
- Prepare for operationAgree monitoring, human review, maintenance responsibilities and documentation.
Development FAQs
Can an AI application use our internal documents?
Potentially, subject to permissions, data-handling requirements and an agreed retrieval design. Access controls and source quality need to be part of the scope.
Will the solution always produce correct answers?
No AI model can guarantee that. Appropriate evaluation, source checks, human review and fallback behavior must be designed for the task.
Can you connect to our existing systems?
Integration depends on the systems, supported APIs, permissions and hosting requirements. These are reviewed during scoping.
Build for a defined need
When should you build a custom AI solution?
Custom development is worth considering when a repeatable task needs organization-specific data, access controls or integration that an approved off-the-shelf tool cannot provide. First test whether a simpler documented workflow would solve the problem. A custom interface alone does not remove a model’s limitations.
The brief should define who uses the solution, which sources it may access and what actions it may take. It should also identify the person responsible for approving the output and operating the system after release.
From prototype to operation
What belongs in the acceptance criteria?
- Representative tasks with expected results or an agreed review rubric.
- Permission checks showing that users can access only the information they are entitled to see.
- Behavior for missing sources, unsupported questions and upstream failures.
- Human approval points for consequential actions and an appropriate audit trail.
- Operating expectations for responsiveness, usage limits, costs and maintenance.
During scoping, agree how the system will be evaluated and what evidence is needed before release. Deployment, hosting, support and third-party licenses should be explicit parts of the project agreement.
Related resources
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