VIRTUSOL AI REVENUE ENGINE

YOU BUILT THE PRODUCT.
WE BUILD THE AI-POWERED REVENUE ENGINE.

VirtuSol helps B2B technology and AI companies turn existing products, data and sales processes into an AI-assisted revenue system — combining account intelligence, agentic automation and human sales execution.

THE FRICTION

BUILDING THE PRODUCT IS ONLY HALF THE PROBLEM.

AI has made it dramatically easier to build software, AI applications, agents and specialised platforms.

But a working product does not automatically create distribution.

The problem isn't always the product. Often, it is the revenue execution around the product.

COMPANIES STILL STRUGGLE WITH:

  • identifying the right accounts
  • finding the right buyers
  • knowing which accounts deserve attention
  • researching prospects
  • creating relevant messaging
  • following up consistently
  • handling responses
  • keeping CRM data current
  • knowing when a human should intervene
OPERATIONAL BLUEPRINT

THE AI REVENUE ENGINE PIPELINE

How data signals flow autonomously through our intelligence layer before hitting human sales execution.

SIGNALS

Raw market data, buyer behaviors, and intent triggers.

AI ACCOUNT INTEL

AI-enriched research maps accounts and target buying groups.

PRIORITISATION

Algorithmic scoring ranks accounts based on high-value potential.

AI AGENTS EXECUTE

Agentic follow-ups trigger outreach and updates.

HUMAN INTERVENTION

Experienced reps step in for high-stakes calls and closing.

QUALIFIED OPPS

Ready to buy prospects with verified pain details.

REVENUE

Systematic GTM conversion mapped directly to CRM.

THE PARADIGM

AI SHOULD NOT REPLACE THE REVENUE PROCESS. IT SHOULD REMOVE THE REPETITIVE WORK INSIDE IT.

Simply adding an AI email writer or an AI SDR does not solve a broken revenue process. If the ICP is wrong, the data is poor or the targeting is weak, AI simply allows the wrong process to operate faster.

VirtuSol approaches the problem differently.

The objective is to automate repetitive GTM work while keeping humans involved where judgement, relationships and real sales conversations matter.

WE COMBINE:

01commercial/GTM experience
02account intelligence
03AI research
04agentic automation
05workflow automation
06human judgement
07CRM integration
08measurable sales execution
CAPABILITIES

WHAT THE AI LAYER CAN DO

* Capabilities are subject to technical assessment, available API integrations, and client systems.
01

ACCOUNT RESEARCH

AI researches target accounts and relevant business information.

02

SIGNAL DETECTION

Identify relevant signals that may indicate an account deserves attention.

03

ACCOUNT PRIORITISATION

Score and prioritise accounts according to defined criteria.

04

CONTACT INTELLIGENCE

Identify relevant decision makers and buying roles.

05

OUTREACH PREPARATION

Prepare context-aware messaging for approved campaigns.

06

AGENTIC FOLLOW-UP

Automate appropriate repetitive follow-up workflows.

07

RESPONSE CLASSIFICATION

Classify responses and identify when human intervention is appropriate.

08

CRM AUTOMATION

Update and synchronise relevant CRM information where integrations are available.

DIVISION OF WORK

AI HANDLES REPETITION. HUMANS HANDLE JUDGEMENT.

AI ENGINE CAPABILITIES

  • target account intelligence & research
  • raw market data & signal detection processing
  • prioritisation & dynamic scoring algorithms
  • repetitive outreach prep & follow-up flows
  • incoming response sentiment classification
  • GTM system triggers & workflow execution
  • automated CRM updates & logging

HUMAN SALES COG

  • conducting deep sales discovery calls
  • building high-trust commercial relationships
  • managing nuanced, high-stakes conversations
  • negotiating contract agreements
  • answering complex technical questions
  • strategic business decisions
  • final contract execution and closing

“We don't believe every sales decision should be handed to an autonomous agent. The objective is to automate repetitive work and bring humans into the process where judgement and relationships create the most value.”

IDEAL CLIENT PROFILE

BUILT FOR COMPANIES THAT ALREADY HAVE SOMETHING WORTH SELLING.

IDEAL VERTICALS

B2B technology companies
B2B SaaS companies
AI companies
AI platforms
enterprise software
vertical SaaS
technology-enabled services
IT/software companies

PREFERRED CHARACTERISTICS

Working product ready for distribution
Existing customers or current market validation
Identifiable, clear B2B buying role
Meaningful deal size / contract value
Founder-led or immature sales process
Inconsistent or manual outbound campaigns
Desire to build a systematic, scalable GTM engine
IMPLEMENTATION LIFECYCLE

OUR METHODOLOGY

01

UNDERSTAND THE PRODUCT

Understand what the client actually sells and who benefits.

02

DEFINE THE TARGET MARKET

Identify the companies and buying roles most likely to have a reason to buy.

03

CONNECT DATA + SIGNALS

Use available data and relevant business signals to prioritise accounts.

04

DESIGN THE AI WORKFLOWS

Determine what research, qualification, follow-up and administrative work can be automated.

05

IMPLEMENT

Connect appropriate systems, APIs, CRM workflows and AI components.

* Subject to technical assessment and available integrations/API access.
06

EXECUTE

Run the approved revenue workflow.

07

MEASURE

Track activity, conversations, qualified opportunities and downstream results where measurable.

08

OPTIMISE

Improve the system based on real-world performance.

VIRTUSOL

YOU BUILT THE PRODUCT.
WE BUILD THE AI-POWERED REVENUE ENGINE.

We combine commercial experience with AI, account intelligence and automation to build a more systematic way of turning the right accounts into qualified opportunities.

Already have a working B2B product but struggling to turn the right accounts into conversations? Tell us where the revenue process is getting stuck.