Inputs and outcomes
Identify what starts the task and what a completed result looks like. Sample requests reveal missing information and the exceptions that still need a person.
Start with the workflow
Define the job.
Then define the limits.
A useful agent has a specific outcome. We begin with the work your team already does and the systems that hold the authoritative records.
API connections
Check the available endpoints and authentication before choosing an implementation. Each tool has a defined input and a result the application can verify.
Permission boundaries
Decide which records the agent may read and which changes it may propose. Enforce permissions in application code alongside any instructions given to the model.
Human decisions
Choose the actions that require approval. A rejected or unfinished approval must leave the underlying record unchanged and give your team a clear next step.
Implementation process
From a task definition
to an operating workflow.
The scope connects the model to real application behavior. It covers what happens when a request succeeds and when it cannot safely finish.
Map the task
Document the trigger and required data. Agree on permitted actions and an acceptance set that includes ordinary requests, ambiguous requests and exceptions.
Build the tools
Implement API access and validate arguments. Connect identity checks and approval state to the workflow so a model response alone cannot authorize a change.
Test the outcomes
Check real sample tasks against the agreed result. Exercise denied access and failed API calls. Verify that repeated requests do not repeat a completed action.
Prepare deployment
Agree on the hosting environment and account owner. Document configuration and operational checks, with a clear process for support and later changes.
Implementation walkthrough
Clearline: a support
workflow you can inspect.
Clearline is an oSyntax demonstration of a voice service desk. It shows how an agent can use tools while the application controls the actions it is allowed to take.
From a support request to a verified action
Understand and inspectThe agent classifies the request into a supported workflow. It reads the relevant demonstration account records and runs the required diagnostic before attempting an action.
Request a decisionGoverned changes use a separate approval step. The application keeps the case waiting until a person decides. It rejects duplicate actions and checks that the requested action belongs to the active workflow.
Verify completionThe case cannot be marked resolved while an approval is pending or the required action has not completed. The interface shows the case state and saved tool evidence. Unsupported requests can be escalated to a specialist within the demonstration.
Delivery and ownership
Know what your team
will receive and operate.
These decisions belong in the project scope before implementation begins. They determine the work required and who is responsible after launch.
Implementation deliverables
Agree on the workflow code and integration components to be delivered. Specify the test cases and configuration documentation your team needs to review the result and maintain it.
The proposal should identify access requirements and any third party dependencies. It should also state which data sources and actions are outside the initial release.
Deployment responsibilities
Confirm who owns the hosting and model provider accounts. Define how credentials are managed and which operational records are retained.
Agree on usage monitoring and the support arrangement. Source ownership and handover terms are recorded in the proposal alongside responsibility for future updates.
Common questions
Planning an AI agent project.
Do we need an agent or a chatbot?
An agent is useful when the task requires a sequence of decisions and permitted actions. If visitors mainly need answers from your information, start with AI chatbot development. The two can share an interface when the scope calls for both.
Can it work with our existing software?
We first review the system's API documentation and available access. The implementation depends on supported operations and account permissions. We confirm the proposed connections before including them in the scope.
Does the agent act without approval?
You decide the boundary for each action. Some tasks may only prepare a draft. Others can proceed under agreed rules. Actions that need a person must wait for an explicit decision enforced by the application.
How do you judge whether it works?
We agree on representative tasks and expected outcomes. Testing checks the resulting records and permission behavior as well as the conversation. Repeated requests and incomplete workflows belong in that evaluation.
What determines cost and delivery time?
The number of actions matters alongside API readiness and approval requirements. The quality of sample tasks also affects the work. Share those details so we can propose a scope and estimate based on your actual workflow.
Can we begin with one workflow?
Yes. A defined task gives you a clear acceptance boundary. We can scope the initial implementation around that task and separately assess additional actions after the first workflow has been reviewed.
Your workflow
What should your agent accomplish?
Tell us what starts the task and which systems it uses. Include an example of a successful result and any actions that require approval.