Cross-Domain Expansion Growing Revenue 60% in 2 Years: Data → AI → Cloud for a Data Analytics Company
A data analytics company was limited to Power BI and Databricks. Using Xylity for AI and Cloud specialists, they expanded into AI consulting and cloud architecture — growing revenue 60% in 2 years.
About the Client
The Challenge
A data analytics company was limited to Power BI and Databricks. Using Xylity for AI and Cloud specialists, they expanded into AI consulting and cloud architecture — growing revenue 60% in 2 years. The IT services company faced a critical delivery gap — they had won the project (or were about to lose a key resource) but lacked the specialized talent to deliver. Traditional recruiting would take 60-90 days. The client deadline was measured in weeks, not months.
The company had tried traditional staffing vendors before. The experience was frustrating: profiles that looked good on paper but couldn't perform in technical interviews, candidates who needed 4-6 weeks to ramp up, and a 40% first-match acceptance rate that meant interviewing 5 candidates to find 2 who fit.
They needed a talent partner who understood the technology deeply enough to evaluate candidates at the architecture level — not just match keywords on resumes. Speed was critical, but not at the expense of quality. The wrong specialist deployed on a client project doesn't just fail — it damages the client relationship permanently.
Our Approach
Our consulting-led matching process activated immediately:
Requirement Analysis (Week 1)
Analyzed project requirements, technology stack needs, seniority levels, and timeline constraints.
Sourcing & Matching (Week 1-2)
Activated 200+ partner network for candidate identification. Applied 4-stage consulting-led matching: skill validation, scenario interview, reference check, domain assessment.
Profile Delivery (Week 1-2)
Delivered curated profiles with detailed capability assessments, project relevance scores, and availability confirmation.
Client Interview & Selection (Week 2-3)
Facilitated client interviews. Managed feedback, counter-offers, and selection logistics. Prepared onboarding documentation.
Deployment & Support (Week 3+)
Specialist onboarded with project context documentation. Delivery manager assigned as safety net. Ongoing performance monitoring and support.
Solution Architecture
Matching Model: 4-stage consulting-led process — skill validation, scenario interview, reference check, domain assessment
Network: 200+ pre-qualified partners with 5,000+ specialists across 20+ domains
Delivery Support: Dedicated delivery manager as safety net throughout engagement
Results
Technologies Used
Key Takeaways
If your organization is facing a similar challenge, here's what we learned:
Consulting-led matching is fundamentally different from resume matching. Our 4-stage process evaluates capability through scenario-based assessment — "design this architecture, debug this pipeline." The result: 92% first-match acceptance vs. 40% industry average.
Speed without quality is worse than no speed at all. Deploying the wrong specialist on a client project damages the relationship permanently. Our 4.3-day average isn't fast because we skip steps — it's fast because our 200+ partner network gives us immediate access to pre-qualified talent.
The delivery manager as safety net changes the risk equation. Every placement includes a dedicated delivery manager who monitors progress, addresses issues proactively, and ensures the specialist delivers. This safety net is what lets IT services companies say yes to projects they'd otherwise decline.
First placement success drives expansion. When the first specialist contributes from week one, the partner trusts us for the next role — and the next. Most of our partners started with a single urgent placement and now source 4-8 specialists per year across multiple domains.
Need Specialists
for Your Next Project?
Pre-qualified through consulting-led matching. 4.3-day average to first curated profile. 92% first-match acceptance.