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Our Domain · AI

AI that works inside daily operations, not just in a chat window

Everyone promises AI today. We deploy it so it pays off: so sales, marketing, and customer service actually use it every day. On your own data, with clear rules and security. And with measurement that tells you what to keep and what to switch off.

Take the Buldok GTM Score 28 questions ~7 min
HubSpot Diamond Partner From scattered AI experiments to secure operations 60+ implementations
For teams across the customer journey

For companies where AI is still used by a handful of enthusiasts, not the whole team.

In most companies today, AI still lives as a handful of private experiments: someone picked up a chatbot on their own, someone else is testing it for writing, but nobody knows what happens to the data or whether any of it actually pays off.

You’re looking for a partner who rolls AI out across sales, marketing, and customer service in a way the company controls, not a few individuals working on their own.

Designed for these roles
CRO / Head of Sales
Reps pick up AI tools on their own, each a different way, with no rules. Nobody knows what it is actually delivering for the business, or where sensitive customer data from meetings ends up.
CMO / Head of Marketing
Marketing is testing AI for copy, but the output sounds generic and gets rewritten from scratch anyway. It’s not a shortage of tools, it’s a shortage of use cases with a clear return.
Head of Customer Success / Service
The team keeps answering the same questions, and an AI chatbot could help, but they’re afraid it will make something up or sound like a robot. They need AI with clear rules for when to hand off to a person.
CEO / COO
Spending on AI licenses and tokens keeps rising, but nobody can calculate the return or manage the security risk. They need visibility into what AI is doing across the company and who owns it.
Or if you’re facing these situations
People are picking up AI tools on their own, without leadership knowing
Nobody knows how many AI tools are actually running across the company, or what data people are feeding into them.
Nobody on your team has time to dig into AI
Trying a tool, checking its output, and then keeping watch on it is extra work nobody has in their job description. So everyone waits for someone else to do it.
You don’t know whether AI rules apply to you
Rules for using AI are already in force. But nobody at your company knows which ones apply to you, by when, or who’s responsible.
Leadership wants results from AI, but nobody knows where to start
The pressure is clear, the brief isn’t. There’s no list of where AI would actually save time or money, and no order for rolling it out.
FROM PAIN TO PLAN

From scattered AI experiments to operations we watch, end to end

Sound familiar?

WHAT IT LOOKS LIKE TODAY

Marketing is testing AI tools, but nobody’s steering what they actually do with them

Everyone on the team picked a different writing tool on their own. The output sounds generic and gets rewritten from scratch anyway, so nobody asks whether it’s worth it.

Build awareness

Ten AI tools around your demand funnel, and none of them talk to each other

A chatbot on the website, AI in the form, AI in scoring: each works off different data, and nobody has connected them into one picture of demand.

Uncover demand

Reps are afraid AI will replace them, so they avoid using it

Nobody told them what AI is actually for and where it stops. So they keep taking notes by hand and writing call summaries themselves.

Land deals

Nobody knows what customer data AI actually sees or where it ends up

Sensitive customer material gets pasted into an AI tool because it’s faster. Nobody checks whether that’s okay until an incident happens.

Deliver value

The support chatbot sometimes answers off the mark

Nobody’s sure whether AI made something up until a customer notices. Checking is random, not systematic.

Optimize adoption

You’re paying for AI licenses, and nobody can say if it pays off

The pilot worked in the demo but never made it into daily operations. Costs keep running, nobody measured the return.

Keep growing
WHAT STRONG AI USE LOOKS LIKE

AI has a clear owner and a measured payoff on every team

Every deployed tool has a defined purpose, someone who owns it, and a way to tell whether it works.

Tools around demand share the same data and one view

Chatbot, scoring, and forms work off connected data, so sales sees one consistent picture of a prospect.

Reps know where AI helps and where a person still decides

AI prepares material, summarizes calls, and suggests next steps. A rep always decides on the action.

It’s clear what AI can see, write to, and send outside the company

Access rules and logging are set up in advance, not after an incident, and hold up when a customer or a data officer asks.

Someone checks AI’s answers on an ongoing basis, not just at launch

We sample output, measure accuracy, and tune the material before a customer catches the mistake.

The AI portfolio is run on return, not on trends

What works, we scale. What doesn’t, we switch off. Cost and payoff for every tool live in one place.

Services

How we help you deploy AI that actually works for you

AI built on bad data produces bad answers. That’s why we start with data and end with measurement.

  1. Start here Diagnostics

    AI readiness audit

    Find out where AI will save you the most time

    We check the state of your data, security risks, and identify specific routine tasks that AI can speed up right away.

  2. Strategy

    AI strategy and rules design

    A safe, practical plan for putting AI to work in your company

    We pick proven tools, set rules to protect company data, and design concrete scenarios for marketing, sales, and customer support.

  3. Implementation

    Rolling out AI assistants into daily work

    Put smart assistants to work directly inside your systems

    We set up AI assistants for writing copy, summarizing meetings, and analyzing data, and train your team to use them well.

  4. Operations

    AI management and security oversight

    Safe, reliable AI operations with no data leaks

    Ongoing checks on AI model costs, prompt updates, and oversight to keep tools running reliably and within the rules.

  5. Expansion

    Custom AI agents and advanced automation

    Automate complex company workflows down to one click

    We build specialized custom AI agents that process material on their own, draft responses, and speed up decisions.

  6. Fully outsourced function

    Your external RevOps team

    The fastest, most efficient way to get a complete RevOps function without building an expensive in-house team.

Proof

Real client case studies will be added as engagements close.

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PHOTO PLACEHOLDER

Clients working with us on AI · CEE B2B mid-market
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NEXT STEP

Is AI adoption holding back your growth?

Not sure whether it’s AI, processes, technology, data, or enablement slowing you down the most? The Buldok GTM Score gives you the answers.

Take the Buldok GTM Score Book a 30-min RevOps consultation
28 questions · ~7 min
Keep going
Solutions for Build awareness The market knows you before it starts asking. Solutions for Uncover demand Where inquiries turn into pipeline sales actually trusts. Solutions for Land deals Deals that don’t get won by accident. Solutions for Deliver value Where a closed deal turns into value the customer feels. Solutions for Optimize adoption You see churn risk coming and don’t miss expansion. Solutions for Keep growing Growth from the customers you already have.