Question 1

How long does it take to deploy an agentic AI system?

Accepted Answer

Four to six weeks for a working agent that handles real decisions in a controlled way. Eight to twelve weeks until the agent is production-ready and handling volume without human oversight. The first timeline assumes you have clean data, clear decision rules, and systems we can integrate with. Some projects need an extra month of integration work or an extra phase to sort out governance questions with your legal team.

Question 2

What's the difference between agentic AI and traditional automation?

Accepted Answer

Traditional automation follows rigid decision trees. If X, then Y. It breaks when the world doesn't match the tree. Agentic AI reasons about situations, gathers context, evaluates options, makes decisions based on patterns it's learned, and can handle scenarios the original programmers didn't anticipate. Traditional automation fails hard when things are unclear. Agentic AI degrades gracefully: it either surfaces the unclear case for human judgment or applies its best reasoning and logs its confidence level so you can review it.

Question 3

Can agentic AI work with our existing systems?

Accepted Answer

Yes. We've integrated agents with systems built in 1997. The integration takes time because those systems were not designed to be integration points. But if humans can use it, agents can interact with it. We pull data via APIs where available, database queries where needed, scraping as a last resort. Most of your integration time is getting permission to connect agents to those systems and understanding what the data actually means, not the technical plumbing.

Question 4

What happens when an AI agent makes a wrong decision?

Accepted Answer

You catch it through monitoring, you reverse it, and you improve the agent. Agents operating at 95% accuracy with human review on outliers are normal. The question is whether that 95% is better than your current human accuracy, and whether the cost of the 5% error is lower than the cost of the human reviewing everything. We build monitoring to catch errors quickly and shift human effort from routine processing to quality review.

Agentic AI Systems

What you get

Outcomes

Proof points

Frequently asked questions

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