Agentic AI development
Build an AI agent for a defined task, such as routing requests, reviewing documents or preparing drafts from internal information. Agree its access, review points and operating limits before deployment.
How we can help
An AI agent can work through a sequence of steps, retrieve information and use connected tools. This can be useful where a workflow involves interpreting a request, gathering material and preparing a response or proposed action. The starting point is a specific task with clear boundaries, examples of acceptable work and someone responsible for reviewing the result.
Ivany Concepts designs and develops agents in Python using frameworks such as LangChain and LangGraph. The engagement covers the workflow and its supporting engineering: tool permissions, error handling, evaluation and human approval. We agree which actions an agent may perform, which require review and what should happen when information is missing or a connected system is unavailable.
When this may be useful
- Staff repeatedly gather information from several systems before drafting a response, classifying a request or checking a document.
- An existing AI prototype needs clear permissions, repeatable evaluation and an operating plan before a team can use it.
- You want an assistant connected to internal tools, with approval required before it carries out consequential actions.
What the work involves
Define the workflow
Review sample tasks with the people doing the work. Identify required information, common exceptions and the decisions that remain with staff. Set acceptance criteria against representative examples and document where automation is unsuitable.
Design and build the agent
Develop the agent's control flow, tools and data connections around the agreed task. Decide what context it needs to retain, restrict its permissions and make responses from external systems explicit in the workflow.
Evaluate behaviour
Test ordinary requests alongside incomplete inputs, conflicting information and tool failures. Review the resulting actions and drafts with subject specialists. Record issues, improve the implementation and retain a repeatable evaluation set.
Prepare for operation
Configure deployment and monitoring, document human checkpoints and explain how to suspend or investigate a failed run. Hand over the code and operating guidance to the people responsible for maintaining the application.
How the assignment runs
Scope the task
Agree the workflow, users, data access and acceptance criteria. Establish a baseline from examples of the current process.
Build and review
Develop a working version and review it with your team using realistic tasks. Resolve gaps in the workflow and integrations.
Test and hand over
Evaluate the agreed cases, confirm approval controls and prepare deployment. Walk the responsible team through operation, monitoring and changes.
What to prepare
These details will help us understand the starting point and agree a useful scope:
- Examples of the task, including difficult cases and the expected result
- Details of relevant systems, data permissions and available integrations
- A process owner and reviewers who can assess output quality
If some information is still being developed, we can discuss what is available in the first conversation.
Questions about this service.
For anything specific to your organisation, get in touch. We can discuss the requirements before you decide on an engagement.
Which actions should require a person to approve them?
We agree this during design. Actions such as sending external communications, changing records or committing resources need particular consideration. The decision depends on the consequences of an error, the system involved and your organisation's approval rules.
Can we maintain the agent ourselves?
Yes. The service includes ownership of the developed code and deployment, with documentation for your team. Handover also identifies third-party models, libraries and services so ongoing access, charges and maintenance responsibilities are clear.
How will we decide whether it is ready to use?
We agree evaluation cases and acceptance criteria before deployment. Your reviewers assess the results, including unsuccessful runs and exceptions. The decision to release is based on that evidence and the level of human oversight available.
Let’s talk about what you need.
Share a little about your project, the challenge you are facing and where you would like some help.