Workflow discovery
Map inputs, decisions, systems and exceptions. Agree which actions are permitted and which require a person.
Discuss this capabilityAI AGENT DEVELOPMENT SERVICES
AI agents built around your actual workflow.
Koddox designs custom AI agents that work with approved tools, business data and human review. Start with a focused workflow and a clear definition of success.
Custom AI Agent Development
An agent needs more than a prompt. It needs reliable inputs, narrowly scoped tools, state management, evaluation and a safe path when it cannot complete the task. We scope these components together.
Custom AI Agent Development capabilities
Tool and API integration
Connect approved CRM, ERP, document and internal API operations with authentication, validation and error handling.
Discuss this capabilityGrounded knowledge
Retrieve relevant business information with source references, freshness rules and user-level access boundaries.
Discuss this capabilityOrchestration and state
Coordinate steps, preserve task context and handle interruptions without silently repeating consequential actions.
Discuss this capabilityEvaluation and controls
Test representative requests, ambiguous instructions, tool failures and attempts to exceed permissions.
Discuss this capabilityDeployment and operation
Release with monitoring, operating guidance, escalation paths and an agreed process for testing changes.
Discuss this capabilityWhat a dependable agent engagement includes
Define the task before selecting the architecture
A good first agent has a bounded job: assemble evidence for an exception, prepare a customer response or locate the right information across approved sources. We identify the starting event, required inputs, expected output and conditions for escalation.
The delivery scope records who owns the workflow, where each input comes from and what a correct completion looks like. If a deterministic workflow is sufficient, it can remain the foundation while AI handles only the steps that need interpretation.
Make tool use explicit and reviewable
An agent should receive only the operations it needs. Reading an account record is different from updating it; preparing a payment is different from authorizing one. We define tool permissions and validation at those boundaries.
Each integration needs predictable responses and failure behavior. Retries, timeouts and interrupted tasks should be handled without duplicating consequential actions. Sensitive operations can remain behind a separate approval step.
Evaluate behavior using real task examples
Before release, the agent is tested against an agreed set of representative tasks. The set should include missing evidence, conflicting instructions, invalid inputs and unavailable tools, alongside normal successful cases.
Measures can cover task completion, factual support, incorrect actions, escalation quality, latency and operating cost. Targets depend on the workflow. Evaluation results guide whether the system is ready for a limited rollout or needs another iteration.
Keep people in control as usage grows
A limited rollout gives users a way to review output, flag mistakes and understand why a task was escalated. Monitoring can identify recurring tool failures and changing input patterns.
Proposed handover materials include the agent scope, integration map, evaluation cases, deployment instructions and operating responsibilities. Future changes to models, prompts and tools should be assessed against those same tests.
Before we build.
Is an agent the same as a chatbot?
A chatbot is an interaction format. An agent can also use tools and coordinate steps. A conversational interface may sit on top of an agent, but the underlying workflow and permissions require their own design.
Do we need a multi-agent system?
Only when the workflow justifies the coordination cost. A single well-scoped agent or a conventional workflow with an AI step may be easier to evaluate and maintain.
Can agents work with our financial systems?
Potentially, subject to supported APIs, permissions and data requirements. Initial scopes can focus on reading and preparing information before considering authorized changes.