Sales outsourcing Team
Build vs. Buy vs. Spiked
In this simulation, you calculate the investment in building a Sales function vs outsourcing.
Modeling parameters – Average Team Size 6 a mix of Reps, BDRs, BVA, ISR and led by a BDR Manager
Full Salary – OTE
12 Mo’s
$72,000
Tech Costs
12 Mo’s
$3,400
Overheads
12 Mo’s
$9,800
Total per resource
$85,200
Cost of the team
$511,200
Start-up Costs
Hiring
60 days
$4,500
Training
70 days
$9,500
Cost per res
$14,000
Cost for team
$84000
Management Overhead
1 FTE allocated to leading a team of 6
Sales Manager
12 Mo’s
$92,000
Total Cost of Ownership
In House Sales = $682,299
Cost of FTE
12 Mo’s
$66,750
Tech Costs
Incl
Overheads
Incl
Total per resource
$66,700
Cost
$400,500
Start-up Costs
Hiring
45days
Incl
Training
—-
Incl
Start up cost/res
None
Start-up costs
None
Management Overhead
1 FTE allocated to leading a team of 6
Manager cost
—–
Incl
Total Cost of Ownership
Outsourced Sales= $400,500
Cost of FTE
12 Mo’s
$51,500
Tech Costs
Incl
Overheads
Incl
Total per resource
$51,500
Start-up Costs
Hiring
45days
Incl
Training
Incl
Start up cost/res
None
Start-up costs
None
Management Overhead
1 FTE allocated to leading a team of 6
Manager cost
—–
Incl
Total Cost of Ownership
Spiked Value = $309,000
The Spiked management team offers premier AI development services—from AI consulting to product development and integration. Thus, we tailor AI solutions to position you at the forefront of your industry. Our AI development enhances software engineering, setting new speed, reliability, and innovation standards. Our AI leadership has a proven record of deploying AI solutions across many industries, like manufacturing, textile, healthcare, consulting, automobile, security, construction, agriculture, and logistics.
At the same time, our Sales AI expertise revolutionizes customer relations and service customization across giants like Amazon, Microsoft, Adobe, Salesforce, Oracle, and startups alike.
Amid a market on track to escalate to $64.3 billion by 2028, partnering with the right AI consulting firm like Spiked AI isn’t just strategic—it’s essential for capturing the tremendous growth opportunities our AI expertise presents.
Tapping into the AI revolution involves meticulous financial planning. Constructing an in-house AI team promises comprehensive control and a condensed knowledge base, but it also introduces significant upfront costs and a stretched ROI horizon. In contrast, partnering with AI consultants transforms hefty fixed labor costs into manageable variable costs, with the added benefit of specialized AI expertise and infrastructure costs included in the service agreement.
Recruiting top-tier AI professionals, including data scientists, data engineers, and AI product managers, can significantly impact your budget, much like other high-expense roles. With salaries, benefits, and ongoing education, the annual cost of building an elite AI team can exceed $900,000, highlighting the financial implications of securing the best talent in a competitive landscape.
Developing an AI team from the ground up necessitates substantial investment in training and technology mastery. The varied complexity of technology stacks means these costs can vary widely between organizations, often overlooked in the shadow of more immediate salary expenditures.
In our quest to deliver bespoke AI solutions, we harness cutting-edge advancements in statistical learning, visual and textual data interpretation, and large language models (LLMs). Our strategic deployment of advanced in-house GPUs during development balances affordability and high-caliber computational capability, ensuring our clients receive value and performance.
Beyond the individual contributors, an effective AI team requires competent management to steer the ship. AI Resources Managers balance and guide the AI team’s efforts, ensuring alignment with your business goals. While these experts bring invaluable oversight, they also add to your total cost of ownership with substantial salaries and associated costs.
AI specialists are pivotal for innovation, earning substantial salaries: Data Scientists at $157,037/year (Glassdoor), Data Engineers at $129,087/year (Talent.com), and AI Product Managers at $142,707/year (Glassdoor). However, this doesn’t include benefits that can raise gross compensation by 25-40% above the base salary.
Weighing an in-house effort against outsourcing to AI consulting firms requires a granular long-term versus immediate benefits analysis. An internal team contributes to a lasting innovation culture within your enterprise. Yet, AI consulting firms’ agility and cross-industry insights often result in a more impactful ROI for project-specific engagements.
In-house AI teams boast the advantage of speed in response and scalability pertinent to the organization’s growing needs. Yet, outsourced teams counter with their ability to quickly scale up or down based on project requirements without burdening your core operations, often jumpstarting the innovation cycle.
Choosing between in-house and outsourced AI talent hinges on project size, urgency, quality, and long-term skill development. An in-house team aligns closely with the company’s mission, providing custom innovation. However, outsourcing to AI firms like Spiked AI can be more cost-effective and flexible, providing immediate expertise and solutions aligned with market demands. Outsourced talent, known for agility and specialized skills, often yields better ROI, especially for projects needing advanced expertise or quick scaling.
Dive into the immense possibilities of AI development and sales AI with us. Our collaboration can transform your innovative ideas into reality, beginning with our first conversation.