Built around your actual operation

Custom AI agent development

Design and build agents for business tasks that need specific data, integrations, business rules, and an experience your team can operate confidently.

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Start with the work.

Custom development makes sense when the workflow matters enough to need its own behavior. Agentix scopes agents around the business outcome, the systems they interact with, and the decisions people retain. The aim is a useful working application with explicit boundaries, observable behavior, and evidence that it handles the agreed task.

General-purpose tools can help a person work faster while leaving the difficult handoffs untouched. A proposal still needs approved commercial terms. A service request still needs the correct customer record. A recommendation still needs supporting evidence. Custom agents connect reasoning to those operational details, which also makes integration quality, permissions, and exception handling central to the build.

What we deliver

A task and system design

Specify inputs, outputs, business rules, approved tools, and the decisions an agent may make. Define how the application identifies users and records, when it asks for clarification, and which actions require explicit approval.

A working application and integrations

Build the agreed user experience and system connections with controlled credentials, input validation, and visible failure states. Scope each integration against the actual source system and supported interface rather than assuming a connector provides every required action.

Evaluation and operational handover

Create representative evaluation cases and acceptance criteria for accuracy, task completion, and unsafe or unwanted actions. Deliver operating instructions, ownership, and a way to inspect failures so future changes can be evaluated against the same expectations.

Where this can make a difference

Illustrative applications. Scope and feasibility depend on your systems and requirements.

Service-request triage

Help an operations team classify incoming requests, gather missing details, and prepare the next step. Route uncertain cases for review and preserve the source information needed to challenge or correct a recommendation.

Knowledge-assisted internal work

Build an assistant around approved procedures and business documents. Require useful source references, respect access boundaries, and make it clear when the available material does not support an answer.

Document and proposal preparation

Assemble a draft from approved inputs, templates, and business rules. Keep commercial commitments and final publication under designated review, and show which required information is missing instead of silently filling the gaps.

How we approach it

Specify the capability

Translate the request into examples of successful work, exceptions, and prohibited actions. Identify the systems involved and settle ownership of the workflow before choosing the technical approach.

Build a narrow working slice

Implement a complete path through the task using representative inputs. Evaluate the result with the people doing the work, then address the observed gaps before adding breadth.

Verify and release deliberately

Test permissions, incorrect inputs, retries, and integration failures alongside ordinary use. Agree acceptance evidence, operating responsibilities, and a reversible release plan before the application becomes part of daily work.

Questions worth asking

When is a custom agent worth building?

When the required workflow, integration, or control cannot be met sensibly by an existing product, and the business value justifies ongoing ownership. We assess that case first. A small conventional automation or a well-configured existing tool may solve the same problem with less complexity.

Can an agent act in our business systems?

Potentially, where those systems provide appropriate interfaces and your business authorizes the access. We scope each action explicitly. Reading a record, preparing a change, approving a change, and executing it are separate decisions with different consequences and verification needs.

How do you judge whether it works?

We agree examples and measurable acceptance criteria before release, then test against them. Task completion alone is insufficient if the output is wrong or an action exceeds its authority. Evaluation should cover the intended result, the supporting evidence, and the behavior when the task cannot be completed.

Start with a conversation

What could your business
do with more capacity?

Bring the work that slows your team down. We’ll help you identify a useful next step, from your first dot to a connected operating system.