Integration assessment
Map the workflow, existing APIs, source data, permissions, business owner, and success measures. Identify the smallest useful pilot and dependencies before committing to a build.
AI integration services
AI integration for your business software.
Connect AI assistants, document search, and automated workflows to the applications your team already uses. Unleashs scopes, builds, and supports the integration from first use case to production.
Discuss your systemWhat the engagement solves
Connect AI to a useful business workflow.
AI integration connects a model to your business data, software, and permissions so it can help with a specific task. That might mean answering support questions from approved documents, drafting a CRM update, or extracting fields from incoming files. We start with one workflow and its acceptance criteria, then build the APIs, retrieval, user interface, and operational controls around it. You keep the systems that already work while adding a useful AI capability.
Read the practical AI integration guide- Help employees find answers in approved documents with source citations and access controls.
- Reduce repeated data entry through reviewed suggestions and controlled API actions.
- Measure answer quality, task completion, response time, and running cost before expanding the rollout.
What we deliver
A complete production path.
AI and application connections
Connect model APIs, document retrieval, databases, and business applications through authenticated services. CRM, ERP, help desk, and internal tool integrations depend on the APIs and access available in your environment.
Safety and quality controls
Add permission checks, citations where needed, evaluation examples, timeouts, retries, audit logs, and human approval before consequential writes. Test failure cases as well as successful tasks.
Deployment and handover
Deliver a staged rollout, monitoring, cost limits, operating documentation, and a support plan. Agree ownership of source updates, model changes, and integration maintenance.
- 01
Choose a workflow
Bring a repeated task, the applications involved, sample inputs, and the result your team needs. We agree how to assess whether AI is useful for that task.
- 02
Prove the integration
Build a bounded pilot against representative data and a test environment. Compare output quality, latency, and cost with your current process.
- 03
Connect and validate
Implement authentication, application APIs, retrieval or tool use, evaluation, and human review. Verify that users cannot access data outside their permissions.
- 04
Roll out and improve
Release to a controlled group, monitor failures and adoption, and use measured results to decide which workflows to add next.
Representative technology
PythonFastAPIOpenAIAnthropicAzurePostgreSQLLangGraphREST APIs
Frequently asked
What teams ask first.
What are AI integration services?
AI integration services connect AI models to existing applications, data, and business workflows. The work includes APIs, permissions, user experience, evaluation, deployment, and ongoing operation so the model can perform a useful task in your environment.
Can you add AI to our existing CRM, ERP, or internal software?
We assess the APIs, authentication methods, data access, and vendor restrictions first. When suitable interfaces are available, we can connect an assistant, retrieval service, or controlled automation without replacing the whole application.
How much does AI integration cost?
Cost depends on the number of systems, data preparation, security requirements, user experience, and evaluation scope. We scope the first workflow before quoting. Model usage, hosting, vendor licenses, and ongoing maintenance are identified separately from implementation.
How long does an integration take?
A bounded pilot and a production rollout have different requirements. We estimate the schedule after reviewing API access, sample data, security approvals, and acceptance criteria. Complex dependencies or data cleanup can extend delivery.
How is private business data protected?
We design around least-privilege access, server-side secrets, authorization filters, and appropriate logging. Model provider retention and processing terms are reviewed for the selected deployment. Sensitive actions can require human approval.
Do you provide AI integration services in India and internationally?
Unleashs is based in Mohali, Punjab, India and works with teams internationally. We agree communication, deployment region, access requirements, and handover responsibilities during scoping.
What should we send to start?
Describe the workflow, the software involved, approximate usage, and the outcome you want. Do not send passwords or private production data in the contact form. We can arrange a suitable process for technical discovery.
Explore related services