Ravi Rajgir
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๐ Founder & CEO | INFOCHORD
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24/02/2026
๐๐ป๐๐ฒ๐ฟ๐ฝ๐ฟ๐ถ๐๐ฒ ๐๐ ๐๐ด๐ฒ๐ป๐๐ ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ
๐๐ผ๐ ๐ฟ๐ฒ๐ฎ๐น ๐ฐ๐ผ๐บ๐ฝ๐ฎ๐ป๐ถ๐ฒ๐ ๐ฏ๐๐ถ๐น๐ฑ ๐๐ต๐ฒ๐บ ๐ฎ๐ ๐๐ฐ๐ฎ๐น๐ฒ
Most people think AI agents are just LLMs with tools.
Theyโre not.
In real enterprises, agents are systems, not prompts.
They exist to reduce human work, control risk, and ship outcomes, not demos.
1/ ๐จ๐๐ฒ๐ฟ ๐๐ป๐๐ฒ๐ป๐ ๐๐ฎ๐๐ฒ๐ฟ
Everything starts with intent, not chat.
โณ What is the user trying to do
โณ What data is involved
โณ What actions are allowed
Enterprise agents never act blindly. Intent is always classified before ex*****on.
2/ ๐ฃ๐ผ๐น๐ถ๐ฐ๐ + ๐ฅ๐ถ๐๐ธ ๐๐๐ฎ๐ฟ๐ฑ๐ฟ๐ฎ๐ถ๐น๐
This is where most hobby agents fail.
โณ Permission checks
โณ Data sensitivity rules
โณ Rate limits and escalation paths
If an agent touches finance, infra, or customer data, this layer is mandatory.
3/ ๐๐ด๐ฒ๐ป๐ ๐ข๐ฟ๐ฐ๐ต๐ฒ๐๐๐ฟ๐ฎ๐๐ผ๐ฟ
The brain that decides what happens next.
โณ Breaks tasks into steps
โณ Chooses which agent runs
โณ Decides when to stop
Think of it as a senior engineer coordinating juniors.
4/ ๐๐๐ ๐ฅ๐ฒ๐ฎ๐๐ผ๐ป๐ถ๐ป๐ด ๐๐ฎ๐๐ฒ๐ฟ
This is the thinking engine, not the product.
โณ Understands context
โณ Generates plans
โณ Explains decisions
The LLM never acts alone. It proposes. The system disposes.
5/ ๐ง๐ผ๐ผ๐น๐ + ๐๐ฐ๐๐ถ๐ผ๐ป ๐๐ฎ๐๐ฒ๐๐ฎ๐
Where real work happens.
โณ APIs
โณ Databases
โณ Internal services
โณ Scripts and jobs
Every action is explicit, logged, and reversible.
6/ ๐ ๐ฒ๐บ๐ผ๐ฟ๐ & ๐๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ
Agents without memory are useless after one turn.
โณ Short term task memory
โณ Long term user context
โณ Company knowledge and docs
This is how agents feel consistent instead of random.
7/ ๐ข๐ฏ๐๐ฒ๐ฟ๐๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ + ๐๐๐ฑ๐ถ๐
Enterprises care about answers to one question.
Why did the agent do this?
โณ Full ex*****on trace
โณ Tool usage logs
โณ Model outputs stored
No logs means no trust.
๐๐ฆ๐๐๐ ๐๐น๐ผ๐ ๐๐ถ๐ป๐ธ๐ฒ๐ฑ๐๐ป ๐ฆ๐ฎ๐ณ๐ฒ
User Request
โ
Intent Classification
โ
Policy and Risk Checks
โ
Agent Orchestrator
โ
LLM Reasoning
โ
Tools and Actions
โ
Memory and Knowledge
โ
Logs and Monitoring
๐ง๐;๐๐ฅ
โณ AI agents are systems, not prompts
โณ LLMs think, agents decide, systems act
โณ Guardrails matter more than model choice
โณ Memory and logs separate toys from production
If youโre building agents without these layers, youโre building a demo, not a product.
Credit
๐๏ธ: in@ Arif Alam
๐ธ: Luis Rodrigues
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