I help financial leaders generate leads with AI on LinkedIn | LinkedIn Marketing Specialist

I'm Tim Sergev, the COO at Pipeline Upgrade. We help UK IT providers fill their calendars with qualified meetings without the gamble of retainers or hiring SDRs.

We've delivered 2,500+ qualified meetings and generated £10M+ in client revenue by solving one critical problem: getting IT providers in front of buyers exactly when they're ready to switch.


HERE'S HOW WE WORK:

You tell us your ICP (company size, sector, services, buying signals). We find them, qualify them, and book the meetings. You only pay when they show up qualified.

No retainers. No ramp periods. No wasted ad spend.


WE CAN HELP YOU IF:

- You're an MSP, VAR, or IT reseller doing consistent revenue but growth has plateaued. You need predictable pipeline without hiring a sales team

- You've burned cash on retainer agencies (£5K+/month) that delivered reports instead of meetings. You want results you can actually measure

- You want 10-20 qualified meetings per month with IT buyers actively evaluating new providers


REAL RESULTS:

• One client got 80 meetings in 60 days and created a £2M pipeline. 

• Another invested £10K with us and signed a £250K contract.

• Our meeting rejection rate sits below 10% (most agencies are 30%+).


SO IF YOU:

- Are a UK IT services provider doing £10M+ annually
- Sell solutions with contract values £20K+
- Want your sales team calendar filled with qualified IT buyers

Send me a DM, or book free consultation at 👉 https://www.pipelineupgrade.com/

Tim Sergeev

Writing SOPs doesn't mean your operations are good.

It only means you wrote instructions.

And there's a big difference.

Many companies think this is operations:

→ Write a SOP
→ Share it with the team
→ Hope people follow it

That's not operations, that's documentation.

Let's take a simple example.

Imagine you run an e-commerce store.

You create a SOP for refunds.

The SOP says:

→ Customers send an email with the request
→ Someone reviews it
→ The team processes the refund

Better than nothing, but the process is still loose.

Because:

→ People can skip steps.
→ Information can be missing.
→ Nobody knows exactly where the request is.

Now compare that with a defined process.

1. Customer receives a damaged product.
2. Customer submits a claim form
3. Once a claim form is submitted
    ↳ A ticket is created automatically
    ↳ A responsible person is assigned
    ↳ The case enters a predefined workflow

Then the system guides the next steps.

→ Review
→ Approval or rejection
→ Resolution

At every stage you can see:

→ how many cases are open
→ how many are resolved
→ who is responsible
→ how long each step takes

You see the difference ;)

SOPs explain what should happen.

Whereas operations make sure it actually happens.

--- 

Tim Sergeev
COO @ Pipeline Upgrade
I make business run smoothly

COO @ Pipeline Upgrade | Helping UK MSPs Win More Deals by Giving Early Access to Verified IT Contract Renewal Opportunities

There's a difference between paying for a service and paying for a result.

It's not about pricing.

It's about risk.

Most companies sell services.

You pay the monthly fee. They deliver the activity.

→ Campaigns launched
→ Content published
→ Outreach sent

What happens after that is uncertain. Nobody guarantees results.

------

Now, let's compare that to:

“Pay X. Get Y.”

The moment the outcome is defined, the model changes.

Because someone carries the risk.

In a service model:
→ The client carries performance risk.

In a result model:
→ The provider carries performance risk.

That's why pay-by-result is harder to offer.

It requires:
1. Predictable systems.
2. Operational control.
3. Confidence in your numbers.

------

As a COO, I can tell you this:

If your internal systems are not tight, you simply cannot offer results safely.

In our case, everything is structured around delivery.

→ clear metrics
→ measurable inputs
→ controlled processes
→ transparent reporting

That's the only reason a result-based model works.

------

Now I have a question for you.

When you select a service provider

Would you rather carry the risk or work with someone who does?

Sharing latest Ai tools, Insights and ways to leverage Ai to help you become productive and make more money. Join my weekly AI Newsletter to stay ahead of the curve. DM for Collaborations.

I help AI Startups grow faster with smart influencer marketing.

As the founder of Blazely, I connect AI Startups with the right creators on X, LinkedIn, Instagram, and TikTok — managing campaigns that drive real reach, trust, and user growth.

I also share top AI tools, strategies, and trends to help founders, creators, and teams stay ahead in this fast-moving space.

Let’s connect if you’re building something in AI or want to explore how influencer marketing can accelerate your growth.

Hussain Asghar

HBO spent $90M on the final season of Game of Thrones.

Now creators with AI are trying to fix it.

That’s the real test of AI video.

Not talking avatars.

Not polished demos.

But rewriting cultural history, and making fans say,
“Yeah… this ending feels right.”

This concept trailer (made with Seedance 2.0 + Kling 3.0 by @deepframelabs) imagines a world 25 years later.

Jon Snow isn’t king.

He isn’t a bastard.

He’s just a “Crow.”

As the ice melts and the South pushes North, the Ghost of the North rises one last time.

If AI can revive a finale millions hated…

Studios don’t just lose control of production.

They lose control of canon.

Would you watch an AI-made sequel starring Jon Snow?

Or should some stories stay untouched?

Hussain   Asghar

Sharing top AI Tools — We Help AI Startups Grow fast with Influencer Marketing. 👇🏻 Let’s grow your AI Startup.

I stopped using ChatGPT and Cursor to build projects.

Instead, I let AI agents run like a real dev team. 

Here’s why 👇

Every AI coding tool works the same way:
Prompt. Output. Fix. Re-prompt. Repeat.
That’s not engineering. That’s chaos.

Zenflow does something different.
You give it a task → it writes a full technical spec FIRST → then spins up parallel agents that design, code, test, and review at the SAME time.

Like a real engineering team. Not a chatbot.

What makes it different:
𝗦𝗽𝗲𝗰-𝗗𝗿𝗶𝘃𝗲𝗻 → No vibe coding. Specs are enforced before a single line is written.

𝗣𝗮𝗿𝗮𝗹𝗹𝗲𝗹 𝗔𝗴𝗲𝗻𝘁𝘀 → Frontend, backend, testing, review — all running at once. Not one at a time.

𝗩𝗲𝗿𝗶𝗳𝗶𝗲𝗱 𝗢𝘂𝘁𝗽𝘂𝘁𝘀 → Agents review each other’s work before delivery. Built-in QA.

𝗕𝗹𝗮𝘀𝘁 𝗠𝗼𝗱𝗲 → Run one task across different AI models. Compare. Pick the best.

𝗥𝗲𝗽𝗼-𝗔𝘄𝗮𝗿𝗲 → Understands your full codebase, not just single files.

𝗞𝗮𝗻𝗯𝗮𝗻 𝗨𝗜 → Watch agents work in real time. Project management for AI.

❌ Normal AI: One prompt → one output → no validation
✅ Zenflow: One spec → parallel agents → verified delivery

I’ve already used it to build SaaS landing pages, Chrome extensions, browser games, API backends, and marketing automation tools.

All spec-driven. All agent-verified.

I have 50 ready-to-use Zenflow workflow ideas, games, micro SaaS, automation, AI bots.

Comment “ZENFLOW” and I’ll send you the full list + the prompt template.

♻️ Repost if this is useful.

💡Video credits:  Li/Karuna Tata

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The Battle

Tim Sergeev

Hussain Asghar

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Performance ScoreTim Sergeev's LinkedIn Performance

Performance ScoreHussain Asghar's LinkedIn Performance

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The Battle

Tim Sergeev

Hussain Asghar

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Tim Sergeev's LinkedIn Performance

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Performance ScoreTim Sergeev's LinkedIn Performance