AI agent development services for business workflows
Turn a recurring task into a workflow with clear inputs, permitted actions and review points. BusinessEye Development helps businesses plan and build AI agents that work within an agreed process, with people involved where decisions need oversight.
Bring a task that involves interpreting information, preparing work or coordinating several steps.
Start with one task and a clear completion point
An AI agent may interpret information, choose a next step or prepare an action using connected tools. A useful project defines what successful completion looks like.
Good starting points have accessible inputs, a repeatable process and someone who can assess the output. Document checks, review preparation and work classification are possible examples.
Some processes are already well served by fixed rules or existing platform features. BusinessEyeGHL covers ordinary platform automation and connections between existing tools. Custom development becomes relevant when the required reasoning, controls or application behavior calls for a purpose-built workflow.
An example of preparing supplier submissions for review
Illustrative workflow.
Imagine an operations team receiving supplier submissions as emails and attachments. Staff need to check the contents and prepare a consistent review record.
An agent could extract agreed fields, compare the submission with an intake checklist and prepare a draft review record. Source references and flags for missing information would help staff check it.
A reviewer could approve creation of the review task. Questions to the supplier could remain drafts for a person to send. Supplier selection and purchasing commitments would stay with staff.
An initial pilot could produce suggested records for review before introducing approved write actions.
Define what the workflow may do
The scope should describe the task in practical terms:
- Inputs: the documents, messages or records the workflow may use.
- Allowed actions: the systems it may read and the changes it may prepare or make.
- Review points: decisions that require approval and the context shown to the reviewer.
- Completion: the result that counts as finished, including any required confirmation.
- Exceptions: conditions that should stop progress or return the task to a person.
These choices shape the interface, integrations and testing. Reviewers need enough information to understand the actions they approve.
For a process that also needs staff dashboards, assignment views or approval screens, custom business software may form part of the solution.
Plan for incomplete work and failed actions
The workflow needs useful responses to unavailable systems, incomplete information and failed changes.
That may mean requesting information, pausing for review or retrying under defined conditions. Records of attempted and completed steps help staff continue the work.
Where a workflow creates records or sends requests, the design should address duplicate actions and partial completion. A task should only appear complete when the required outcome has been confirmed.
Evaluate the whole task
Evaluation should examine whether the agent used the right information, selected an allowed next step, respected approval requirements and reached the intended result.
Representative test cases can include ordinary submissions, missing fields, conflicting information and unavailable connections. Review should also cover attempts to redirect the workflow beyond its permitted role.
Extraction quality, correct routing, missed exceptions, completed actions and review effort may all matter. The findings inform changes before expanding the workflow.
Scope the pilot and ongoing operation
Development effort depends on the number of steps, data quality, connected systems, permitted changes and the controls needed for review. Operating costs can also include hosting, model usage, monitoring and future changes to the process.
If your primary requirement is adding an AI capability to an existing application, explore AI integration services. For answers from approved documents and knowledge sources, explore AI chatbot development.
Questions about AI agents and workflows
Choosing the first task
Choose a recurring task with a clear input, a recognizable outcome and examples that can be reviewed. Keep the initial scope understandable to the people responsible for it.
Approving changes before they happen
Approval can be part of the workflow. The scope should identify which actions require it, who may approve them and what happens when approval is declined or delayed. Different actions may need different controls.
Connecting your existing systems
Connections depend on available APIs, access permissions and the operations those systems support. Assessing these connections is part of defining the project. Existing integrations can support the workflow without making every connected system available to it.
Reviewing uncertain results
The workflow can flag unclear information, leave an item incomplete and return it for review. The reviewer needs relevant source material and a clear account of the proposed next step. These exception paths belong in the pilot's tests.
Planning work after the pilot
Use the findings to decide whether to improve the task, expand the audience or introduce additional approved actions. Ongoing ownership should cover failed runs, access changes, source updates and re-evaluation when the process or underlying technology changes.
Show us the task you want to improve
Describe the inputs, the steps people take today and the outcome they need. We will discuss where an initial workflow could help and what needs to be tested.