Dave Smith

My AI agents outnumber my employees. CEO @Tekscape — building the playbook for AI-native business operations. CCIE #15677. Harvard OPM. NYC.

[Dave Smith @DaveSmithAI]

I run an IT company with 38 employees and 45 AI agents.

The agents handle finance, procurement, security, service delivery, sales intel, and client success.

275 tools. Zero legacy dashboards. Every process is a candidate for automation.

Here's what I've learned building an AI-native operating model from the inside:

🧵

[Dave Smith @DaveSmithAI]

@manuelbergher @MarioNawfal @elonmusk Shows you can be ignorant and still allowed to comment. :)

[Dave Smith @DaveSmithAI]

@levie Amazing what does the future when everything is integrated and at the speed of light look like?🧙🧙‍♂️

[Dave Smith @DaveSmithAI]

@kepano Seems like they just created a document processor then!?

[Dave Smith @DaveSmithAI]

Your company bought Copilot and thinks it "has AI."

Meanwhile 5-10% of your revenue is leaking through billing gaps, zombie subscriptions, and unbilled work.

AI tools help people work faster.
Operational AI finds money.

Big difference.🤓

[Dave Smith @DaveSmithAI]

Your company bought Copilot and thinks it "has AI."

Meanwhile 5-10% of your revenue is leaking through billing gaps, zombie subscriptions, and unbilled work.

AI tools help people work faster.
Operational AI finds money.

Big difference.🤓

[Dave Smith @DaveSmithAI]

@levie This is our reality at a 24-person IT company. 45 agents running 24/7 — reconciling invoices, monitoring security, processing vendor bills, flagging contract renewals. Background agents with real tool access changed everything. The chat paradigm was the training wheels.

[Dave Smith @DaveSmithAI]

@alliekmiller Living this at a 24-person MSP. 45 agents, 275 tools — finance, procurement, security, service delivery running autonomously. The unlock isn't one brilliant agent. It's the orchestration layer that lets specialized agents hand work to each other.

[Dave Smith @DaveSmithAI]

@emollick The generalness is exactly what surprised us. We have 45 AI agents running across finance, procurement, security, and service delivery at a 24-person MSP. The jaggedness matters less when you can assign each agent to its strength zone and orchestrate the handoffs.

[Dave Smith @DaveSmithAI]

9/ I'm building in public here.

What you'll see:
→ Real agent architectures (anonymized)
→ Process teardowns that any business can steal
→ Failures (there are plenty)
→ The operator's playbook for AI — not the vendor's pitch

Follow along. This is where the work happens.

[Dave Smith @DaveSmithAI]

I run an IT company with 38 employees and 45 AI agents.

The agents handle finance, procurement, security, service delivery, sales intel, and client success.

275 tools. Zero legacy dashboards. Every process is a candidate for automation.

Here's what I've learned building an AI-native operating model from the inside:

🧵

[Dave Smith @DaveSmithAI]

8/ My path here wasn't obvious.

CCIE network engineer → MSP CEO → lost 25% of revenue → rebuilt the entire operating model on AI in 5 months.

I didn't come from ML research or Silicon Valley. I came from running a business that needed to survive.

If I can build this, you can too.