We work with IT consultancies across the world \u2014 from growing boutiques to global players. We see their successes and their struggles up close. And this year, one pattern keeps repeating itself: the skills that built these firms are not the skills that will sustain them.<\/p>\n
AI is not replacing consulting. But it is redrawing the line between what’s commodity and what’s competitive advantage. Firms that don’t see this shift clearly are already losing ground.<\/p>\n
Three categories of work that consulting firms have traditionally staffed and billed for are rapidly losing their premium:<\/p>\n
Junior-level coding.<\/strong> AI coding assistants now produce cleaner, better-documented code than most junior developers. The entry-level programmer who writes boilerplate, fixes simple bugs, and builds standard CRUD applications is competing directly with tools that work around the clock at near-zero marginal cost. This doesn’t mean junior developers disappear \u2014 but the value of “can write code” alone has dropped sharply.<\/p>\n Standard project coordination.<\/strong> Automated tools handle status tracking, meeting summaries, timeline updates, and risk flagging. The project coordinator whose main contribution was keeping spreadsheets current and chasing people for updates is being replaced by software. Again, project management itself isn’t going away \u2014 but the administrative layer within it is.<\/p>\n Basic requirements gathering.<\/strong> AI can sit in a workshop, transcribe in real time, identify gaps, cross-reference against existing documentation, and produce a structured requirements document before the meeting ends. The analyst whose value was “I write things down accurately” faces a real problem.<\/p>\n For consulting firms, these three shifts have an uncomfortable implication: a significant portion of billable hours has traditionally come from exactly these activities. When clients can get the same output from a tool, the rate card conversation gets very difficult.<\/p>\n While routine work loses its premium, a different set of capabilities is becoming harder to find and easier to sell:<\/p>\n Strategic problem decomposition.<\/strong> A client comes to you with a vague pain \u2014 “our digital transformation isn’t working.” The ability to break that down into the right three workstreams, identify which one to tackle first, and explain why \u2014 that’s a skill no AI can replicate reliably. It requires judgment built on years of pattern recognition across different clients and industries.<\/p>\n Complex stakeholder orchestration.<\/strong> Enterprise projects fail not because the technology is wrong, but because the CTO wants one thing, the CFO wants another, and the business unit heads weren’t consulted at all. Navigating these dynamics \u2014 reading a room, building coalitions, managing egos without anyone feeling managed \u2014 is deeply human work.<\/p>\n Creative constraint navigation.<\/strong> Real projects never have ideal conditions. Budgets are too small, timelines are too tight, legacy systems can’t be replaced, and the best solution is politically impossible. The consultant who can find the third option \u2014 the one that nobody proposed but everyone can live with \u2014 is worth their weight in gold.<\/p>\n High-stakes decision synthesis.<\/strong> When the data points in five different directions and the board needs an answer by Friday, someone has to synthesize incomplete information into a clear recommendation and stand behind it. AI can present options. Humans must decide \u2014 and help others decide.<\/p>\n The irony is hard to miss: none of these are “AI skills.” They are deeply human capabilities. But they become superpowers when paired with AI tools that handle the routine work, freeing the consultant to focus on what actually moves the needle.<\/p>\n We see a consistent pattern in how consulting firms respond to this shift \u2014 and it’s almost always the same mistake.<\/p>\n They invest heavily in technical AI training. They run workshops on prompt engineering, buy licenses for AI tools, and set up internal centers of excellence for generative AI. All of which is fine.<\/p>\n But they invest almost nothing in developing the human capabilities that AI actually amplifies. No structured programs for strategic thinking. No coaching on stakeholder management. No deliberate practice in navigating ambiguity.<\/p>\n The result is consultants who know how to use AI tools but still operate at the same skill level they always did \u2014 just faster. Speed is nice, but it’s not a competitive advantage when everyone else is also faster.<\/p>\n The question most firms are asking is: “How do we adopt AI?” The better question is: “How do we become irreplaceable in an AI world?”<\/strong><\/p>\n The first step is visibility. You cannot develop what you cannot see.<\/p>\n Most consulting firms have a rough sense of their technical skill inventory \u2014 who knows Java, who’s certified in AWS, who has SAP experience. But very few have mapped the strategic, human-centric capabilities that determine whether a team can actually win and deliver high-value engagements.<\/p>\n Which of your consultants can decompose a complex problem into the right workstreams? Who can hold a room of conflicting stakeholders together? Who finds creative solutions under impossible constraints?<\/p>\n If you cannot answer these questions, you’re flying blind into the most significant skills shift the consulting industry has seen in decades.<\/p>\n This is the challenge we see daily with our dec\u00eddalo customers. Consulting firms come to us because they need to understand not just what their people know, but what their people can do \u2014 and how that maps to what the market actually values right now.<\/p>\n We built a free tool to help with exactly this first step: the Competency Model Generator<\/strong>. Enter your company URL, and it generates a customized competency model \u2014 roughly 150 core skills organized into categories that reflect what the market rewards today, not what it rewarded five years ago.<\/p>\n It takes five minutes. No registration required. The output is an honest snapshot of which capabilities in your firm are appreciating \u2014 and which are quietly depreciating.<\/p>\n Try the Competency Model Generator<\/a><\/p>\n A one-time assessment is a start, but the skills landscape doesn’t stand still. What the market values in January may shift by June. New hires join, experienced consultants move on, and project assignments reshape your team’s capabilities every week. Staying on top of this with spreadsheets and gut feel doesn’t scale.<\/p>\n This is why we built dec\u00eddalo<\/strong> \u2014 a professional services automation platform purpose-built for IT consulting firms. Where the Competency Model Generator gives you a snapshot, dec\u00eddalo gives you a living, continuously updated picture of your organization’s skills, resources, and capacity.<\/p>\n The traditional approach to skill management \u2014 maintaining a catalog of thousands of entries and asking consultants to self-assess \u2014 doesn’t work. Consultants don’t update their profiles, the data goes stale, and the catalog becomes an administrative burden rather than a strategic asset. dec\u00eddalo takes a fundamentally different approach: it uses large language models to derive skills directly from the data you already have \u2014 CVs, project descriptions, and assignment histories. No manual cataloging. No chasing people for updates. Just reliable, current skill data.<\/p>\n But skill visibility alone doesn’t win projects. You also need to act on it. When a new opportunity comes in, dec\u00eddalo lets you find the right consultant based on skills and availability in a single step \u2014 no more emailing team leads and cross-referencing spreadsheets. When you need to respond to an RfP, you generate tailored CVs and project references with a click rather than spending hours in Word. When leadership asks about utilization forecasts or emerging skill gaps, you have real answers instead of educated guesses.<\/p>\n The firms we work with \u2014 from growing boutiques to enterprises like T-Systems, Computacenter, and Fujitsu \u2014 use dec\u00eddalo to connect the dots between skills, projects, resources, and business performance. It’s the operational backbone that turns skill visibility into a competitive advantage.<\/p>\n Because in an AI world, knowing what your people can do is no longer a nice-to-have. It’s how you decide where to invest, what to sell, and who to develop. It’s how you become irreplaceable.<\/p>\n \nWhat’s Becoming Exponentially More Valuable<\/h2>\n
Where Most Firms Get It Wrong<\/h2>\n
Knowing Where You Stand<\/h2>\n
Start With a Snapshot<\/h2>\n
From Snapshot to System<\/h2>\n