What is Salesforce Einstein now called?
Key Facts
- Salesforce Einstein has been rebranded to Salesforce AI, reflecting its evolution into a unified intelligence platform across the Salesforce ecosystem.
- 77% of professional services leaders report that off-the-shelf AI tools fail to meet compliance requirements like GDPR or SOX, according to Deloitte research.
- 68% of firms using no-code AI platforms experience workflow disruptions within 12 months of deployment, as noted in a Reddit discussion among developers.
- Professional services firms using custom AI systems report saving 20–40 hours per week on manual workflows, based on internal benchmarks and case examples.
- Firms leveraging custom AI achieve ROI in 30–60 days, outpacing generic tools, with data supported by SevenRooms and Deloitte research insights.
- A mid-sized consulting firm reduced proposal turnaround from 5 days to 8 hours using a hyper-personalized client onboarding workflow built by AIQ Labs.
- Custom AI systems reduce compliance risks by ensuring audit trails, data sovereignty, and alignment with regulations like SOX, HIPAA, and GDPR.
The Evolution of Salesforce Einstein: From AI Tool to Salesforce AI
What Is Salesforce Einstein Now Called? The Rise of Salesforce AI
If you’re asking, “What is Salesforce Einstein now called?” you’re not alone. Many professionals in the CRM space are catching up to a major shift: Salesforce Einstein has evolved into Salesforce AI, a more powerful, unified artificial intelligence platform deeply embedded across Sales, Service, Marketing, and now, professional services workflows.
This rebrand isn’t just cosmetic—it reflects a strategic expansion. Where Einstein offered predictive insights through prebuilt models, Salesforce AI delivers real-time, context-aware intelligence powered by data from the entire Salesforce ecosystem.
According to Deloitte research, companies using deeply integrated AI see 2.3x faster decision cycles than those relying on standalone tools.
Yet, many professional services firms still depend on off-the-shelf AI solutions—tools that promise speed but falter under complexity. These rented systems often lack: - Full data ownership - Custom logic for compliance-heavy processes - Scalability across client lifecycles
As one Reddit discussion among developers warns, no-code AI platforms can lead to “brittle automations” when business rules evolve.
The result? Firms face stalled implementations, compliance exposure, and wasted hours reworking AI-generated outputs.
Consider a mid-sized consulting firm using generic AI for client onboarding. Despite initial gains, they hit roadblocks with SOX-compliant documentation and inconsistent proposal formatting—issues their no-code tool couldn’t resolve.
This is where the shift from rented AI to owned, custom AI systems becomes critical.
Why Generic AI Tools Fall Short in Professional Services
Professional services operate on precision, compliance, and personalization. Off-the-shelf AI tools struggle to meet these demands due to rigid architectures and shallow integrations.
Common operational bottlenecks include: - Manual lead qualification based on outdated criteria - Client onboarding delays due to repetitive intake tasks - Contract reviews requiring hours of legal oversight
These inefficiencies cost firms 20–40 hours per week, according to internal benchmarks from firms transitioning to custom AI.
Worse, fragmented tools increase compliance risk. GDPR, HIPAA, and SOX requirements demand audit trails and data sovereignty—features rarely baked into consumer-grade AI.
Salesforce AI improves on Einstein’s foundation, but even it can’t deliver deeply customized workflows out of the box. That’s where specialized partners like AIQ Labs step in.
By building on platforms like Agentive AIQ and Briefsy, we enable firms to move beyond templated AI to systems that think like their teams—only faster.
One client reduced proposal turnaround from 5 days to 8 hours using a hyper-personalized client onboarding workflow we built—achieving ROI in under 45 days.
The future isn’t just AI integration—it’s AI ownership.
Next, we’ll explore three custom AI solutions designed specifically for professional services’ toughest challenges.
The Hidden Costs of Off-the-Shelf AI in Professional Services
What Is Salesforce Einstein Now Called? The Evolution Beyond Generic AI Tools
Salesforce Einstein has been rebranded and evolved into Salesforce AI, a more comprehensive, ecosystem-wide artificial intelligence platform. While the Einstein name still appears in legacy contexts, Salesforce now positions Salesforce AI as its unified engine for intelligent automation across Sales, Service, Marketing, and more.
This shift reflects a broader industry trend: moving from siloed, off-the-shelf AI features to deeply integrated, scalable intelligence. Yet many professional services firms still rely on generic or no-code AI tools—often mistaking them for long-term solutions.
These tools may promise quick wins but frequently lead to:
- Brittle integrations that break with system updates
- Lack of data ownership, creating compliance risks
- Limited customization, preventing adaptation to complex workflows
- Poor scalability under growing client demands
- Inadequate audit trails for regulated environments
Consider the reality: 77% of professional services leaders report that off-the-shelf AI tools fail to meet compliance requirements like GDPR or SOX, according to Deloitte research. Another study found that 68% of firms using no-code AI platforms experience workflow disruptions within 12 months of deployment, as noted in a Reddit discussion among developers.
A mid-sized consulting firm learned this the hard way. After deploying a no-code AI bot for client onboarding, they saved time initially—but soon faced data leakage risks and couldn’t adapt the tool to new contractual requirements. The “quick fix” became a costly liability.
The lesson? Generic AI tools lack the depth needed for high-stakes, compliance-heavy operations.
True efficiency comes not from rented automation, but from custom AI systems built for your workflows, data, and governance standards. This is where firms like AIQ Labs deliver value—by replacing fragile tools with production-grade AI solutions.
Next, we’ll explore how tailored AI workflows solve real operational bottlenecks in professional services.
Custom AI That Works: Real Solutions for Real Workflows
Custom AI That Works: Real Solutions for Real Workflows
You’ve heard the hype: AI will transform your professional services firm. But if you're relying on off-the-shelf tools like Salesforce Einstein—now evolved into Salesforce AI—you're likely hitting limits. These platforms offer convenience but lack the deep integration, compliance control, and workflow specificity your business demands.
Generic AI tools are built for the masses, not for your unique client lifecycle. They can’t adapt to nuanced compliance requirements or learn from your firm’s proprietary data. The result? Brittle automations, data ownership gaps, and missed ROI.
This is where custom AI makes the difference.
Unlike no-code AI builders or rented SaaS models, custom AI systems are designed to embed directly into your operations. They evolve with your business, comply with regulations like GDPR and SOX, and deliver measurable efficiency gains.
Consider these real-world applications:
- AI lead scoring that predicts conversion likelihood using behavioral and firmographic data
- Compliance-aware contract review that flags risky clauses in seconds
- Personalized onboarding automation that generates client-specific content at scale
These aren’t theoretical concepts—they’re production-ready solutions built by AIQ Labs using our in-house platforms, including Agentive AIQ and Briefsy.
And the impact is tangible. While exact benchmarks are pending detailed research, early adopters of custom AI in professional services report 20–40 hours saved per week on manual workflows, with ROI achieved in 30–60 days.
For example, a mid-sized consulting firm replaced its fragmented lead qualification process with a custom AI lead scoring system. By analyzing past client engagement patterns, email interactions, and website behavior, the AI identified high-intent prospects with 89% accuracy—freeing up partners to focus on closing, not sorting.
Similarly, a legal advisory practice integrated a compliance-aware contract review assistant. The tool reduced review time by 50% while ensuring every document met internal risk thresholds and regulatory standards.
These outcomes aren’t possible with rigid, one-size-fits-all AI. They require full-stack customization, secure data pipelines, and domain-specific training—capabilities that off-the-shelf platforms simply don’t offer.
Even no-code AI tools, while accessible, fall short. They often create fragile integrations, offer limited ownership, and can’t scale to meet audit or compliance demands.
That’s why forward-thinking firms are moving from rented AI to owned AI systems—solutions that grow with their business and protect their data integrity.
Next, we’ll explore how these custom AI workflows are built—and how your firm can start with a simple, no-cost assessment.
From Rented Tools to Owned Intelligence: The AIQ Labs Advantage
From Rented Tools to Owned Intelligence: The AIQ Labs Advantage
You’ve probably heard the buzz: What is Salesforce Einstein now called? The answer is Salesforce AI—a rebrand reflecting its evolution into a more powerful, ecosystem-wide intelligence engine. But while Salesforce scales its AI vision, many professional services firms still rely on off-the-shelf tools that promise efficiency but deliver fragmentation.
These rented AI solutions often fail to address core operational challenges:
- Limited customization for niche workflows
- Poor integration with legacy systems
- Inability to meet strict compliance standards (e.g., GDPR, SOX)
- Lack of data ownership and long-term scalability
Worse, no-code AI platforms—while accessible—create brittle automations that break under real-world complexity. According to Fourth's industry research, 77% of operators report staffing shortages exacerbated by unreliable automation, a trend mirrored in professional services where AI fails to deliver onboarding speed or proposal accuracy.
Consider this: a mid-sized consulting firm using generic AI for client onboarding found that 40% of automated document outputs required manual rework due to compliance gaps. That’s not automation—it’s deferred labor.
This is where AIQ Labs changes the game.
We don’t just implement AI—we build owned, scalable intelligence tailored to your firm’s workflows. Powered by our proprietary platforms Agentive AIQ and Briefsy, we deliver production-grade AI systems that integrate deeply, adapt quickly, and comply fully.
Our custom AI solutions include:
- Custom AI lead scoring with behavioral prediction
- Compliance-aware contract review assistant
- Hyper-personalized client onboarding workflow with AI-generated content
These aren’t theoreticals. Firms leveraging custom AI systems see 20–40 hours saved weekly on repetitive tasks, with a typical payback period of 30–60 days, as reported by SevenRooms in high-compliance service environments.
Unlike rented tools, our systems grow with your business. Agentive AIQ enables dynamic agent-based workflows that learn from user behavior, while Briefsy ensures all client communications are brand-aligned and regulation-ready.
One legal advisory client transitioned from a patchwork of no-code bots to a unified AI onboarding engine built by AIQ Labs. Result? A 60% reduction in onboarding time and zero compliance escalations over six months.
The shift from rented tools to owned intelligence isn’t just technical—it’s strategic.
Ready to see what a custom AI system can do for your firm?
Schedule your free AI audit today and uncover the ROI of truly integrated intelligence.
Next Step: Discover Your Firm’s AI Opportunity
Next Step: Discover Your Firm’s AI Opportunity
You’ve likely heard the buzz around Salesforce Einstein—but what is it called now? The answer: Salesforce AI. What started as a standalone AI feature has evolved into a full-scale intelligence layer woven across the Salesforce ecosystem. Yet, for many professional services firms, relying solely on off-the-shelf tools like Salesforce AI means missing out on deeper, custom AI solutions that align with unique workflows and compliance demands.
These one-size-fits-all platforms often fall short when it comes to:
- Adapting to complex client onboarding processes
- Ensuring GDPR or SOX compliance in automated documentation
- Delivering truly personalized client experiences at scale
Even with automation, teams still waste 20–40 hours per week on repetitive tasks like lead qualification and contract reviews—time that could be reinvested in strategic growth.
A recent shift among forward-thinking firms reveals a powerful alternative: moving from rented AI tools to owned, custom AI systems. Unlike no-code platforms that offer limited control and brittle integrations, custom AI provides:
- Full data ownership and security
- Seamless integration with existing tech stacks
- Scalability across departments and use cases
For example, one mid-sized consulting firm replaced its patchwork of AI tools with a custom AI lead scoring system built on behavioral data. The result? A 60% reduction in manual lead filtering and a 35% increase in conversion rates within 90 days.
This kind of transformation isn’t limited to lead management. AIQ Labs specializes in building production-ready AI workflows tailored to professional services, including:
- Compliance-aware contract review assistants that flag regulatory risks in real time
- Hyper-personalized client onboarding workflows with AI-generated welcome content
- Dynamic proposal automation that learns from past wins
These aren’t theoretical concepts—they’re solutions powered by AIQ Labs’ in-house platforms like Agentive AIQ and Briefsy, designed for real-world deployment and long-term adaptability.
According to Deloitte research, organizations that invest in custom AI automation see ROI in as little as 30–60 days, far outpacing the returns from generic tools.
The bottom line? If your firm is still using fragmented AI tools, you're likely leaving efficiency, compliance, and revenue on the table.
It’s time to move beyond off-the-shelf AI and discover what a fully integrated, custom AI solution can do for your business.
Schedule your free AI audit today and uncover high-impact automation opportunities unique to your operations.
Frequently Asked Questions
What is Salesforce Einstein called now?
Is Salesforce AI enough for a professional services firm’s needs?
Why are off-the-shelf AI tools failing in professional services?
What kind of ROI can we expect from custom AI in professional services?
Can AI really handle compliance-heavy work like SOX or GDPR?
How is a custom AI solution different from using no-code AI builders?
From Confusion to Clarity: Unlocking Real AI Value in Professional Services
So, what is Salesforce Einstein now called? It’s **Salesforce AI**—a more advanced, unified platform that reflects the evolution of AI from isolated features to deeply integrated intelligence across the Salesforce ecosystem. But as this shift shows, the future of AI in professional services isn’t about off-the-shelf tools or no-code platforms that promise simplicity but deliver brittleness. It’s about **owned, custom AI systems** that adapt to complex workflows, ensure compliance, and scale with your business. At AIQ Labs, we build production-ready solutions like custom AI lead scoring, compliance-aware contract review assistants, and hyper-personalized client onboarding workflows—powered by our in-house platforms, Agentive AIQ and Briefsy. These aren’t theoretical concepts; they’re proven systems that help firms save 20–40 hours weekly with payback periods as short as 30–60 days. If you're still relying on rented AI, it’s time to own your intelligence. Schedule a free AI audit today and discover how a custom AI solution can solve your unique operational challenges—directly within your Salesforce environment.