Certinia named an Innovation Leader in MGI Research's PSA Market Innovation Map
Summary
- MGI Research placed Certinia in the Accelerating tier of its PSA Market Innovation Map, one of only two vendors to receive that designation out of 12 evaluated.
- The PSA market is entering a period of supplier divergence, with a small group of vendors investing in genuine architectural change while others manage existing platforms for margin; MGI expects that divide to widen over the next three years.
- Buyers evaluating PSA platforms should prioritize vendors demonstrating architectural innovation in agentic AI and unified data models, not those applying AI as a surface-level enhancement to existing workflows.
MGI Research recently published its Professional Services Automation (PSA) Market Innovation Map, an independent assessment of 12 PSA vendors evaluated across two dimensions: degree of innovation and target market segment.1 The report places vendors into one of three tiers: Accelerating, Maintaining, or Declining.
Certinia was positioned in the Accelerating tier, one of only two vendors to receive that designation.
MGI defines Accelerating vendors by frequent, substantive product releases, AI capabilities in production rather than preview, modern cloud-native architecture enabling AI to operate across a unified data model, and the ability to monetize AI as a premium tier. The report notes that Certinia has accelerated agentic AI feature rollouts across staffing optimization, forecasting, workflow automation, and analytics over the past 12 months, and describes the Veda AI suite as signaling an ambitious direction.
Where the rest of the market stands
The broader context in the report is useful for any services firm currently evaluating or re-evaluating their PSA investment. MGI characterizes the PSA market as entering a period of supplier divergence—a moment where the divide between vendors investing in genuine architectural change and those managing existing platforms for margin is becoming visible in product trajectories.
Eight vendors occupy a middle tier that MGI describes as Maintaining: invested in AI at rates sufficient to remain competitive in evaluations, but not reshaping product architectures or creating durable differentiation. Most of their AI capabilities surface from underlying platform providers like Microsoft, Salesforce, and Google, rather than from proprietary architectural work.
What this means for buyers
For professional services firms evaluating PSA platforms today, MGI's guidance is to look beyond AI applications bolted onto existing workflows and focus on suppliers demonstrating the capacity to redefine how services are delivered.
The report specifically calls out AI-native resource and margin intelligence, predictive scoping and bid accuracy, cross-client portfolio intelligence, and billing and revenue recognition agility as examples of genuinely innovative approaches—capabilities that depend on capturing context from across where delivery work actually happens.
The report is direct about the stakes: professional services firms' individual survival will depend, in part, on deploying modern tooling. The vendors treating AI as a surface-level enhancement will be displaced by competitors architecting entirely new approaches to predictive decision-making and autonomous operational workflows. This is a direction we have been investing in aggressively.
That is the direction we are building toward with Veda, extending from intelligence that informs decisions to AI that helps orchestrate delivery across the entire services lifecycle. We are glad independent analysts are tracking that trajectory, and we will have more to share as the year unfolds.
Pro tips
- Evaluate your PSA vendor's AI architecture, not just its AI features. MGI's Innovation Map distinguishes between vendors surfacing AI from underlying platform providers and those building proprietary capabilities grounded in a unified data model. When assessing vendors, ask whether their AI agents operate across a single system of record or pull from disconnected data sources. Certinia's Veda AI platform is built natively on Salesforce and grounded in over 15 years of professional services operational data—giving it the context needed to make staffing, margin, and delivery decisions that are traceable and trustworthy, not just plausible.
- Look for deterministic AI, not just generative AI, in financial workflows. For operational decisions where the P&L depends on precision—revenue recognition, margin tracking, resource allocation—generative AI alone creates liability. Veda combines specialist agents with deterministic logic so that every financial output follows your business rules, controls, and compliance requirements. That auditability is what makes AI trustworthy enough to run consequential workflows, not just assist with them.
- Assess whether your PSA investment can scale with your delivery model. MGI's report identifies firms whose PSA stack was built for a previous era of buyer requirements as actively at risk. Certinia's Professional Services Cloud unifies sales, delivery, finance, and customer success on a single record—giving growing services firms the operational foundation to manage hybrid human-and-digital delivery teams, outcome-based contracts, and real-time margin visibility as the business scales.
About MGI Research:
MGI Research is the recognized research and advisory authority in agile monetization. Serving the needs technology buyers, providers, and institutional investors, MGI helps companies make more informed and timely critical decisions in monetization and across a spectrum of essential software applications.
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