End-to-End Company Transformation /EN

Main
/
End-to-End IT Services Company Transformation in 6 Months

End-to-End IT Services Company Transformation in 6 months

The Company Thought It Had a Sales Problem. It Didn’t.
The client is an international mid-size software development company delivering digital engineering services and technology solutions to global clients. The company is headquartered in Singapore, operates development centers in Vietnam, and maintains business offices in London, Dubai, Switzerland, Singapore, and Uganda.

The engagement was originally initiated as a business transformation and AI readiness program.

The outcome was broader.

By the end of the engagement, the client had established the operational foundation required for scalable growth, predictable execution and future AI adoption.

A Single Version of Truth

Before the transformation, leadership teams relied on fragmented reports, inconsistent metrics and data that could not always be trusted.

The company now operates with a unified management framework where Sales, Presales, Account Management, Delivery, HR and Talent Acquisition work from the same data model and decision-making logic.

Strategic decisions became evidence-driven rather than assumption-driven.

Revenue Operations Rebuilt

The entire commercial engine was redesigned and validated.
This included:

Complete restructuring of New Business, Expansion and Renewal pipelines
Pipelines verification and cleanup
Lead qualification redesign
Quality gates for Contacts, Leads, SQLs and Deals
Deal passport implementation
Clearly defined ownership, triggers and progression criteria across the commercial funnel
New reporting and governance model

For the first time, leadership gained full visibility into pipeline quality, opportunity health and commercial risks.

Delivery Portfolio Under Control

The complete delivery portfolio was reviewed project by project.
A standardized Red / Amber / Green framework was introduced across the portfolio.

For each project:

Delivery risks were identified
Commercial risks were identified
Mitigation plans were created
Ownership and escalation paths were established

Management gained visibility into portfolio health and risk exposure across the business.

Talent and Retention System Redefined

The hiring process was reviewed and redesigned end-to-end.

Talent Acquisition, workforce planning and employee retention practices were aligned with actual business demand and operational priorities.

The company also established a structured approach for understanding employee attrition drivers and improving retention management.

Executive Operating Model Strengthened

The executive structure, ownership model and management capabilities were assessed as part of the transformation.

Clear accountability, decision-making responsibilities and governance mechanisms were introduced to support execution at scale.

The objective was not organizational redesign for its own sake.

The objective was to ensure that the company could execute strategy consistently and predictably.

Company AI Readiness Achieved

One of the original goals was AI adoption.

The transformation established the prerequisite conditions required for future AI implementation:

Trusted data
Standardized processes
Governance mechanisms
Operational transparency
Measurable business workflows

Instead of automating fragmented processes, the company now has an operational foundation capable of supporting end-to-end AI initiatives.

Initial AI Adoption in Sales Operations

While many companies start AI initiatives by deploying tools, the client first focused on fixing the underlying operating system.

Only after data quality, qualification rules, ownership and governance were established did AI become useful.

As part of the transformation, initial AI capabilities were introduced into Sales Operations.

This included:

AI-assisted CRM governance
AI-supported data validation and enrichment
AI-enabled sales process documentation and quality control
AI-assisted qualification framework development
AI experimentation within HubSpot to improve operational visibility and decision-making

The objective was to reduce manual effort, improve data reliability and increase management visibility.

By combining structured operating processes with AI capabilities, the company established a foundation for future AI-driven automation across Revenue Operations and other business functions.

AI became possible only after those foundations were in place.

Schedule an Introductory Call

Telegram
@Dima_Ops

E-mail
dmitry.ivanov.ops@gmail.com

Linkedin
linkedin.com/in/dima-i

Youtube
www.youtube.com/@ivanov-dima

Phone
+381637731147

Manage cookies

Cookie Settings

Cookies necessary for the correct operation of the site are always enabled.
Other cookies are configurable.

Essential cookies

Always On. These cookies are essential so that you can use the website and use its functions. They cannot be turned off. They're set in response to requests made by you, such as setting your privacy preferences, logging in or filling in forms.

Analytics cookies

Disabled

These cookies collect information to help us understand how our Websites are being used or how effective our marketing campaigns are, or to help us customise our Websites for you. See a list of the analytics cookies we use here.

Advertising cookies

Disabled

These cookies provide advertising companies with information about your online activity to help them deliver more relevant online advertising to you or to limit how many times you see an ad. This information may be shared with other advertising companies. See a list of the advertising cookies we use here.

dima-i consulting

Located in Belgrade, Serbia
I work with clients all over the world

Dmitry Ivanov pr Beograd
Serbia, Belgrade,
Bulevar Kralja Milana 15A

MENU

IT companies
About

Case Studies

IT Company Transformation
Services for 2000 Employees
Relocation 800+ People to Serbia
Processes for 1000 Employees
Competency from Scratch