The Entelligence Platform was built with a bold vision: to make software deployment and adoption move as fast as software innovation itself. For decades, the professional services industry has relied on static playbooks, manual scoping, and time-intensive project management. The model is slow and can’t keep up with the pace of technology innovation. 

We set out to address the gap between the pace of technology innovation and the services industry that supports it with an AI-led approach that combines intelligent automation with nearly 30 years of proven delivery experience. Our AI-led, expert-delivered model for professional services is helping organizations reach outcomes faster and more predictably, without sacrificing quality or the human touch. 

I recently put out a blog explaining what we mean by “AI-led.” Now, I’ll make that more tangible by explaining how we’re implementing AI-led capabilities throughout the Entelligence Platform. Not everything described here is available today, but this post should help you better understand where we’re headed.  

First, Let’s Reiterate: We’re Empowering, Not Replacing, the Consulting Ecosystem 

The Entelligence Platform doesn’t replace consultants. It empowers them, as well as the entire professional services ecosystem that they support. 

With the Entelligence Platform, we’re codifying our learnings from great consultants and what they do instinctively into structured knowledge so it can be replicated and amplified across every professional services engagement. Additionally, we’re optimizing the process of finding and onboarding the right consulting resources for every project, so the end-to-end consulting journey is fast and efficient.  

AI isn’t the star of the show; it’s the quiet force behind the scenes that refines previously manual processes, provides strategic guidance and visibility over consulting projects, and helps consultants operate at full capacity. It relieves bottlenecks and friction, so services engagements deliver outcomes faster than ever before.  

By modeling end-to-end software deployment journeys, from initial scoping to post-engagement reviews, the Platform learns from every project and every variable, including but not limited to:  

• Software and hardware stacks 

• Implementation goals 

• Customer environments 

• Milestones and timelines  

And like a fine wine, it gets better over time: With continuous learning, the Entelligence Platform becomes more prescriptive, more predictive, and more adaptive. The result is a smarter, faster, and more repeatable model for professional services and corresponding customer success. 

This AI-led approach benefits every stakeholder in the services ecosystem:  

• Customers see faster results with consistent, high-quality outcomes when they engage professional services resources. 

• Independent software vendors (ISVs) and channel partners deliver the right services resources when they’re needed, accelerating product adoption and capitalizing on additional revenue opportunities. 

• Consultants are more productive and have the opportunity to find new engagements whenever they have bandwidth to spare, maximizing earning potential. 

Where You’ll See AI in the Entelligence Platform 

Here’s our vision for weaving AI capabilities throughout the Entelligence Platform, which supports the end-to-end consulting engagement cycle. Some of these capabilities are available today; others will be released in the coming months. Each layer builds toward a more intelligent, interconnected professional services ecosystem that helps customers achieve software deployment outcomes at 2X the speed and half the cost of legacy consulting models. 

Step 1: AI-Led Intake 

Before starting any software implementation or deployment project, you need to know what you’re setting out to do. It’s critical to define your implementation plan in order to prevent scope creep and unnecessary tangents along the way.  

That’s why the Entelligence Platform offers an AI agent that guides IT leaders through an assessment of current challenges, business objectives, and target goals. In the traditional model for procuring professional services resources, this assessment alone could take weeks or even months to complete. With our AI agent, it’s completed in minutes.  

Step 2: Journey Mapping 

Next, the inputs from the AI-Led Intake are combined with vendor implementation playbooks and best practices from decades of past consulting engagements. Our AI agent analyzes and synthesizes all of this information to generate your Journey Map: a complimentary offering from Entelligence that guides your software deployment, adoption, or optimization project along a personalized, prescriptive plan.  

Instead of manually creating scoping documents, with Entelligence Journey Maps, consultants, IT leaders, and Professional Services leaders can instantly produce tailored implementation journeys that reflect vendor-certified methods and proven success patterns. These maps evolve as the project progresses, adjusting to milestones, resource availability, and customer outcomes. It’s like having an AI deployment architect that never forgets what works. 

Learn more about Entelligence Journey Maps ->  

Step 2: Talent Matching  

Once you’ve got your deployment plan, you need to find the right resources that can execute. This is where AI-led talent matching comes into play. The Entelligence Platform’s Talent matching engine evaluates your software stack, required certifications, domain experience, and project goals to recommend the optimal consulting resource(s) that can deliver against all your criteria. 

What exactly do we mean by “consulting resources”? We’re talking about humans with subject matter expertise and relevant experience working in the professional services industry and/or as IT consultants. Entelligence has a deep bench of services resources that have been trusted by our ISV and channel partners for decades to fulfill their professional services needs. This group of trusted, vetted experts are the first consultants that we’ve onboarded onto the platform as resources that can support new projects or engagements.    

In the near term, freelance consultants that sign up and pass our certification and vetting process for the technologies we support will be able to join the Entelligence Talent network as well.  

Longer term, the Talent platform will grow to support additional technologies that Entelligence partners with. ISVs, channel partners, and IT services agencies will also have the opportunity to license Entelligence Talent as a white-labeled software platform to manage and allocate their own bench of consulting or professional services resources.  

Whether the need is for a rapid implementation engagement or a multi-month residency, our AI-led Talent solution takes every factor into account to find the best alignment between consultant and client. In the future, this capability will help to expedite booking and onboarding of consulting resources as well.  

Entelligence Talent will be live on www.entelligence.com later this year. Learn more ->  

Step 3: Getting Started  

You’ve got your Journey Map and you’ve identified the right resources that can execute against it. But getting new consultants on board is often a friction-filled, slow process. This is another area ripe for innovation.  

The Entelligence Marketplace, coming in 2026, will fast-track transacting and procurement processes, allowing enterprises, ISVs, and consultants to connect and begin engagements without delay. 

Intake, agreements, compliance, and onboarding workflows that once took weeks will be compressed into minutes, thanks to the Marketplace’s utilization of AI.  

Step 4: Services Delivery  

It’s time to execute! Once a consulting engagement begins, the AI-led Entelligence Platform will act as an agentic engagement manager, tracking milestones, surfacing real-time progress, and identifying risks before they impact timelines. The vision is to deliver continuous visibility and on-time delivery without the overhead of status meetings or manual reporting.

Entelligence users will see these capabilities come to life in 2026. 

Step 5: Post-Engagement Reviews & Proactive Recommendations  

Every engagement builds intelligence within the AI-led Entelligence Platform. AI will analyze results, feedback, and performance metrics to refine future project scoping and delivery recommendations.

Over time, it will provide proactive insights, suggesting the next logical optimization, upgrade, or service that will deliver the greatest impact. 

A Living System for Continuous Improvement 

The moral of the story is that AI-led service delivery isn’t a single feature, automation workflow, or chatbot. It’s an evolving framework for learning and improvement, woven throughout the ongoing cycle of software implementations and services engagements. Every project enriches the next. Every consultant engagement strengthens the model. Every customer interaction makes the Platform more intelligent. 

That’s how Entelligence is redefining what it means to be a professional services provider in the age of AI: by turning knowledge into leverage and experience into acceleration. 

Coming next: In Part 3 of this series, we’ll explore how the Entelligence Platform’s flexibility supports a wide range of customer use cases — and, most importantly, how AI-led delivery is driving measurable outcomes: faster deployments, lower costs, and consistently high quality. 

Related reading: AI is Rewriting the Rules of Professional Services