The Definitive Guide to
Professional Services Automation

This Buyer’s Guide provides full MGI 360 Ratings™ for 12 vendors: Accelo, BigTime, Certinia, ConnectWise, Deltek, Kantata, Oracle NetSuite, Rev.io, Rocketlane, SAP, Workday, and Wrike. Four vendors receive Honorable Mentions: HaloPSA, Kaseya, Planview, and Scoro. MGI tracks approximately two dozen additional vendors in this space.

MGI 360 Ratings™ are calculated via a rigorous quantitative methodology that encompasses over 150 unique data points. Vendors are scored 0–100 in five key areas: Product, Channel, Management, Strategy, and Finance. Each vendor receives a letter grade based on quartile results, plus a qualitative Analyst Outlook (positive, neutral, or negative). Research draws on hundreds of customer, vendor, systems integrator, and investor interviews conducted independently — no vendors sponsor or influence ratings.

Notably, no vendor in the 2026 report received a positive Analyst Outlook, though this does not preclude any vendor from being a sound choice for the right buyer.

AI acts as both a tailwind and headwind for professional services firms. As a tailwind, it creates significant demand for AI implementation expertise. Nearly every large organization needs help deploying AI strategies, and professional services firms are first in line to deliver that. As a headwind, AI accelerates the shift to matrixed staffing models where staff work across more projects simultaneously, creating new pressure on PSA systems’ resource planning, billing, revenue recognition, and FP&A capabilities. The view that AI will simply shrink professional services is naïve — real-world implementation demand will outpace the productivity gains AI delivers internally.

The 2026 PSA Top 16 Buyer’s Guide covers critical success factors and early warning signs of PSA project failure in detail. Common risk indicators include: misalignment between PSA software capabilities and actual project/billing complexity, underestimating change management requirements, selecting a vendor based on brand rather than use-case fit, inadequate data migration planning, and insufficient executive buy-in. The guide provides specific guidance on how to structure a PSA evaluation to surface these risks before signing a contract.

The guide is built for three primary audiences. PSA software buyers (executive management, IT leaders, partners and service line executives, finance and operations teams at professional services firms) — use it to evaluate vendors, build a business case, and avoid selection mistakes. PSA vendors and implementation partners use it to understand competitive positioning, market trends, and buyer expectations. Institutional investors use it to assess the PSA market landscape, vendor differentiation, and the impact of AI on long-term market dynamics.