Tom Kenaley
IT staffing is the practice of building or augmenting technology teams by sourcing vetted IT professionals through a specialized staffing partner, instead of relying solely on internal hiring, to fill skill gaps quickly and scale teams up or down on demand. As companies grow, technology becomes both a competitive advantage and a bottleneck. New systems, … Read more
Workforce planning for AI transformation is the process of defining the roles, headcount, skills, and budget an organization needs to deploy and scale AI successfully across strategy, engineering, and operations. It treats AI adoption as an operating-model shift, not a tech project. A workforce plan maps the three talent layers (strategy and governance, engineering and … Read more
An ML engineering team structure is the defined set of roles, reporting lines, and ownership that moves a model from data to production and keeps it running reliably as the work scales. At a minimum that means clear ownership across the full machine-learning lifecycle, MLOps or platform support for deployment and monitoring, and tight alignment … Read more
A bad AI hire can cost six to nine months of total compensation once you factor in stalled initiatives, rehiring, lost team productivity, and reputational risk, far beyond base salary. A bad AI hire can cost far more than salary. Between lost momentum, stalled initiatives, rehiring, and reputational risk, the real cost often reaches six … Read more
The top fractional CFO service companies in 2026 are KORE1, CFO Hub, FocusCFO, FLG Partners, and airCFO. KORE1 ranks first for its recruiting expertise, fractional flexibility, and two decades of proven results, often placing the right CFO in under two weeks. Growth moves fast. Sometimes faster than your structure can keep up. That’s when finance … Read more
When a key engineer resigns on release week or patient ratios slip below safe thresholds, the next 48 hours decide whether you stabilize or spiral. This guide gives HR and Operations leaders a field-tested, hour-by-hour response: triage, stand-up coverage, de-risk costs and compliance, and prove ROI—fast. Quick Snapshot Goal: Restore service levels in … Read more
Intro – The Quick Answer Finding the right engineering staffing agency in 2026 takes more than scanning a list of names. The best firms combine deep technical expertise, national reach, and proven speed to connect companies with high-performing engineers. Across industries like manufacturing, energy, and technology, competition for engineering talent is intense. Agencies that focus … Read more
If you’re trying to decide between a fractional AI team, contract ML engineers, or full-time hires, the answer comes down to one thing: what stage of AI maturity your business is actually in. Not the stage you wish you were in, but the one you’re operating in today. Over the past two years, we’ve watched … Read more
Recruiting and retaining senior AI and ML engineers in 2026 requires more than competitive pay. The teams winning top talent offer: Clear pathways from Senior to Staff to Principal Access to high-quality data and modern infrastructure A fast, respectful hiring experience Technical ownership and mission-driven work Pay structures that include salary, equity, performance incentives, research … Read more
Seven data engineer staffing firms worth evaluating in 2026: KORE1, Mondo, Burtch Works, CyberCoders, Robert Half Technology, Adecco, and Insight Global. Specialty depth, vetting rigor, and time-to-shortlist vary widely — pick by stack and timeline. This guide breaks down why hiring teams should use specialized recruiters for data engineering roles and what they should look … Read more
