Technical Problem
AI stays a static chat window that only produces text and never turns into action inside the business software already in use (HR, sales, operations, finance).
ServicesII — Software Adaptation, Legacy Systems and Microservice Architecture
Two-Way AI Integration with Business Software Across Departments
AI stays a static chat window that only produces text and never turns into action inside the business software already in use (HR, sales, operations, finance).
We give AI a full-duplex architecture: one that does not only read but performs operations inside your systems. Using function calling (tool use), the model can deduct stock in the ERP, move an opportunity stage in the CRM or draft an invoice in the accounting system directly.
Complex business steps triggered and carried out safely by AI from inside corporate software, with no human intervention required.
This service is needed when AI is expected to do work rather than answer questions. Two preconditions are on your side: a callable path for the actions themselves — an API, a service, or a step that can be automated — and someone with the authority to decide which action may run without human approval. That second one is a business decision, not a technical one, and it is the single decision we cannot make for you.
First an inventory of actions and a risk grading: which are reversible and which are not. The irreversible ones start behind a human confirmation step — loosening later is easy, tightening later is expensive. Then a single flow, in a test environment, with an audit trail that records every step. Production follows only after that trail has shown what the system actually does over a period. Permissions are the user's, never the model's.
We do not decide which actions may be automated. We also do not replace your approval mechanisms: the model never acts outside the permissions the user already holds. We do not automate an action with no rollback path without a written decision. And a model being able to perform an action does not mean it should; keeping that distinction is part of the engagement.