Software with purpose
AI Agents for Business
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MotionInk builds AI agents for business workflows: assistants that can retrieve information, collect the right details and use approved tools. We start with one concrete task, connect it to your systems and put human approval around actions that need it.
What can an agent do for your team?
An agent is useful when a task needs language and a connection to your business systems. A customer asking about an order should get an answer from the order system; a staff assistant should retrieve the current document, not reconstruct a policy from memory.
- Customer and operations assistants
- Collect order details, retrieve a verified status and hand exceptions to a person with the relevant context.
- Internal knowledge assistants
- Search approved documents with source links and respect the permissions your team already uses.
- Tool-using workflows
- Prepare a quote or update a record through a controlled API, with validation before the write.
Where should the model stop?
Your application owns prices, inventory, availability and access. The model helps interpret a request and draft a response; business rules validate the proposed action before it reaches a live system.
We define which actions are read-only, which require confirmation and which the agent cannot perform. A useful handoff includes the original request, what was checked and why a person needs to decide. A fluent reply alone is not proof that the task was completed.
How do we take an agent into production?
- Choose one task Identify its users, current workflow, failure costs and the system that holds the answer.
- Build the tool path Connect a narrow set of tools with explicit permissions, validated inputs and clear error handling.
- Test real situations Use representative requests and edge cases to inspect the answer, tool calls and final application state.
- Release and observe Introduce the agent to a bounded workflow, keep the human handoff available and review failures before expanding scope.
What do we need to estimate the work?
Bring a few anonymized examples of the task, the systems involved and what a successful completion looks like. We use that to separate a practical first release from integrations or data preparation that need their own work.
Model and infrastructure choices follow the workflow, data constraints and expected usage. We discuss operating costs and ownership as part of the proposal; we do not quote an agent from a chat demo alone.
Before we begin
Is an AI agent the same as a chatbot?
A chatbot may only answer messages. An agent can use tools and carry a task across steps. The useful distinction is which verified actions it can complete, under what permissions and with what human oversight.
Can you connect an agent to our existing software?
We assess the APIs, authentication, data quality and permissions first. A supported connection becomes a scoped integration; a system without an appropriate interface may need a separate adapter or a different workflow.
Will the agent operate without a person?
Only within the actions and limits agreed for the workflow. Sensitive or exceptional actions can require approval, and the system needs a way to stop, report uncertainty and hand the task to a person.
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Tell us what you need and we will think it through together. We reply within 24 hours.