Service 04 • AI & Agents
Put AI to work on a problem that matters.
Identify where AI can improve a customer or business workflow, then build the product behavior, evaluation, and controls around it.
AppArchiTech helps you assess and develop AI features, knowledge assistants, and agent workflows with a clear connection to business value.
Discovery
Establish the Use Case: Start with the task and expected improvement.
What is difficult today? Who performs the work? What information is available? What would a better result look like?
Those questions help determine whether the workflow needs AI, conventional automation, or a combination of both. They also expose where errors, delays, or unexpected actions would create unacceptable consequences.
Capabilities
Areas of Work
AI product features
Add capabilities such as document analysis, classification, drafting, or decision support to a defined product workflow.
Knowledge and retrieval systems
Help users work with relevant business information through retrieval-augmented generation, with attention to source quality, access permissions, and traceability.
Agent workflows
Connect AI to approved tools and systems for bounded tasks, with explicit permissions, review points, and failure handling.
AI feasibility and architecture
Assess data readiness, model options, integration needs, operating cost, and the practical limits of a proposed solution.
Reliability & Safety
Define Reliability Before Release: Make “good enough” something you can evaluate.
Define representative tasks and expected outcomes before treating a demo as a product. Depending on the use case, evaluation may cover answer quality, source grounding, task completion, latency, cost, and behavior under failure.
Set boundaries for what the system can access, recommend, and do. Include human review, fallback behavior, and monitoring where the workflow requires them.
For consequential actions, define how approval, audit records, and recovery will work.
Engagement Outcome
What You Leave With: A defensible decision and a practical path forward.
An engagement may produce a use case assessment, workflow design, technical architecture, evaluation plan, prototype, or production implementation, depending on agreed scope.
Where could AI make a measurable difference?
Bring a workflow you want to improve. Let’s examine the opportunity and define a useful next step.