Build · 9 min read
Do you need AI, automation, or traditional software?
Use deterministic software for rules, automation for repeatable handoffs, and AI where interpretation is valuable and controlled uncertainty is acceptable.
Short answer
Do you need AI, automation, or traditional software?
Use deterministic software for rules, automation for repeatable handoffs, and AI where interpretation is valuable and controlled uncertainty is acceptable.
Classify the work
Traditional software is strongest when inputs, rules, and expected outputs are defined. Automation connects those rules across systems. AI is useful for language, classification, extraction, recommendations, and other tasks where context matters.
Many successful products combine all three: rules control permissions and money, automation moves work, and AI assists with interpretation.
Match controls to consequences
AI output can be plausible and wrong. Use evaluations, trusted retrieval, structured output, human review, usage limits, and fallback behavior according to the consequence of failure.
Do not give an AI agent broad tool access simply because it can use it. Apply least privilege and require confirmation for consequential actions.
Pilot one measurable workflow
Choose a task with enough volume to matter and enough feedback to evaluate. Compare quality, completion time, cost, and exceptions against the current process.
We design hybrid systems around the business outcome rather than forcing every problem into the newest technology category.
Quick answers
Frequently asked questions
What should we know about classify the work?
Traditional software is strongest when inputs, rules, and expected outputs are defined. Automation connects those rules across systems. AI is useful for language, classification, extraction, recommendations, and other tasks where context matters.
What should we know about match controls to consequences?
AI output can be plausible and wrong. Use evaluations, trusted retrieval, structured output, human review, usage limits, and fallback behavior according to the consequence of failure.
What should we know about pilot one measurable workflow?
Choose a task with enough volume to matter and enough feedback to evaluate. Compare quality, completion time, cost, and exceptions against the current process.