{"id":40971,"date":"2025-12-30T13:52:59","date_gmt":"2025-12-30T21:52:59","guid":{"rendered":"https:\/\/salesforcedevops.net\/?p=40971"},"modified":"2025-12-30T13:53:02","modified_gmt":"2025-12-30T21:53:02","slug":"taking-back-the-transformation","status":"publish","type":"post","link":"https:\/\/salesforcedevops.net\/index.php\/2025\/12\/30\/taking-back-the-transformation\/","title":{"rendered":"Taking Back the Transformation: Why Forward Deployed Entrepreneurs Will Kill the Consulting Industrial Complex"},"content":{"rendered":"\n

Here\u2019s an uncomfortable truth that every CIO knows but few will say out loud: the consulting industry is having record years while 95% of AI projects fail to provide measurable revenue impacts.<\/p>\n\n\n\n

Let that sink in. Companies are spending billions on transformation initiatives. Consulting firms are cashing checks. And almost nothing actually works.<\/p>\n\n\n\n

This isn\u2019t a technology problem. The AI models are fine. The cloud infrastructure is fine. What\u2019s broken is the delivery model itself\u2014and 2026 might be the year companies finally do something about it.<\/p>\n\n\n\n

The Consulting Industrial Complex<\/h2>\n\n\n\n

The traditional consulting engagement follows a predictable script. A Big Four firm sends in partners for the pitch, associates for the analysis, and offshore teams for the PowerPoint production. They deliver a strategy deck. They hand it off to a systems integrator. The SI brings in contractors who\u2019ve never seen your business before. Eighteen months later, you\u2019ve spent $10 million and have a pilot that \u201cneeds more refinement.\u201d<\/p>\n\n\n\n

Sound familiar?<\/p>\n\n\n\n

\"Diagram<\/a>
Where enterprise AI projects go to die: the strategy-to-implementation handoff.<\/em><\/figcaption><\/figure>\n\n\n\n

The fundamental problem is incentive alignment. Consulting firms get paid whether the project works or not. The partners who sold the engagement are onto the next sale before implementation begins. The people doing the actual work cycle off after six months, taking whatever institutional knowledge they\u2019ve gained to the next client\u2014or to your competitor.<\/p>\n\n\n\n

Our research with UC Berkeley Haas documented this pattern across 48 interviews with enterprise AI leaders. The failure point isn\u2019t where most people think it is. It\u2019s not the AI models. It\u2019s not the strategy. It\u2019s the handoff that\u2019s the problem. It\u2019s the moment when consultants deliver their recommendations and someone else has to make them real.<\/p>\n\n\n\n

Eighty-seven percent of Agentforce deployments stall at data activation. Not at the AI layer. At the foundational work of connecting systems, cleaning data, and encoding business logic that consultants deemed \u201cimplementation details.\u201d<\/p>\n\n\n\n

Those details are where projects go to die.<\/p>\n\n\n\n

The Palantir Exception<\/h2>\n\n\n\n

While most enterprise technology companies struggle to escape the consulting gravity well, Palantir built something different. Their Forward Deployed Engineers don\u2019t just advise\u2014they embed. They write production code on customer infrastructure. They stay for months, sometimes years. They understand both the technology stack and the business problem deeply enough to actually solve it.<\/p>\n\n\n\n

The market noticed. Palantir commands 70% gross margins while traditional consulting firms scrape by at 30-40%. They trade at 20x revenue while the big consultancies languish at 1-2x. Investors aren\u2019t paying for billable hours. They\u2019re paying for outcomes.<\/p>\n\n\n\n

The talent market noticed too. Job postings for Forward Deployed Engineers grew 800% between January and September 2025. OpenAI, Anthropic, Ramp, and dozens of AI-native companies adopted the model. The best technical talent wants to build things that ship, not write decks that sit in SharePoint.<\/p>\n\n\n\n

But here\u2019s the catch: at $1-1.7 million per year for an embedded FDE, only the largest enterprises can afford to rent this capability from vendors. Everyone else is stuck with the consulting model that doesn\u2019t work.<\/p>\n\n\n\n

Unless they build it themselves.<\/p>\n\n\n\n

The Forward Deployed Entrepreneur<\/h2>\n\n\n\n

The Forward Deployed Entrepreneur is the internal version of what Palantir proved externally. It\u2019s not a new job title\u2014it\u2019s a recognition that the skills required to transform a business are different from the skills that consultants sell.<\/p>\n\n\n\n

\"Venn<\/a>
The Delta-Echo gap explains why consultants advise, contractors code, and Forward Deployed Entrepreneurs ship.<\/em><\/figcaption><\/figure>\n\n\n\n

An FDEnt combines what I call \u201cDelta\u201d capability (technical implementation\u2014writing code, configuring systems, building pipelines) with \u201cEcho\u201d capability (business domain expertise\u2014understanding why the revenue recognition rules exist, knowing which customer exceptions matter, grasping the politics of the org chart).<\/p>\n\n\n\n

Traditional consulting separates these. The strategy consultant has Echo skills but can\u2019t implement. The technical contractor has Delta skills but doesn\u2019t understand the business. The handoff between them is where 95% of projects fail.<\/p>\n\n\n\n

The FDEnt is one person\u2014or a small team\u2014that carries both. They don\u2019t hand off. They ship.<\/p>\n\n\n\n

More importantly, they stay. The institutional knowledge compounds instead of walking out the door. The second project goes faster than the first. The third faster still. You\u2019re not paying to re-educate a new consulting team every engagement.<\/p>\n\n\n\n

The Economics of Taking It Back<\/h2>\n\n\n\n

Let\u2019s do the math that consulting firms don\u2019t want you to do.<\/p>\n\n\n\n

A fully-loaded internal FDEnt\u2014senior technical talent with business acumen, including salary, benefits, and overhead\u2014costs $250,000 to $400,000 per year.<\/p>\n\n\n\n

\"Comparison<\/a>
Same budget. Radically different outcomes\u2014and knowledge that compounds instead of walking out the door.v<\/figcaption><\/figure>\n\n\n\n

A mid-sized AI transformation engagement from a Big Four firm runs $2-5 million. A systems integration project to implement their recommendations adds another $3-8 million. Total: $5-13 million, spread across 12-24 months, with a 95% chance of failure.<\/p>\n\n\n\n

For that same investment, you could build a team of three to four FDEnts who stay forever, accumulate institutional knowledge, and ship projects continuously.<\/p>\n\n\n\n

The consultants will tell you that you can\u2019t find this talent internally. That you need their expertise. That building capability takes too long.<\/p>\n\n\n\n

They\u2019re protecting their business model, not solving your problem.<\/p>\n\n\n\n

The truth is that many of these people already work for you. They\u2019re the senior business analysts who taught themselves Python. The solutions architects who actually understand why the data model looks the way it does. The operations managers who\u2019ve been quietly automating their own workflows for years.<\/p>\n\n\n\n

<\/a>
Your best Forward Deployed Entrepreneurs are already on payroll\u2014they just lack the mandate.<\/em><\/figcaption><\/figure>\n\n\n\n

They\u2019ve been doing Forward Deployed Entrepreneur work without the title or the mandate. Give them both, and watch what happens.<\/p>\n\n\n\n

Why This Moment Matters<\/h2>\n\n\n\n

Something shifted in 2025. The gap between AI capability and AI implementation became impossible to ignore. Models that can write code, analyze data, and generate insights are now commodity infrastructure. The bottleneck moved downstream\u2014to the people who can translate capability into business value.<\/p>\n\n\n\n

This is exactly the work that consultants are worst at and FDEnts are best at. Consultants excel at pattern-matching from other clients. They\u2019re terrible at the specific, contextual, deeply-embedded work of making AI actually function inside your particular mess of legacy systems, tribal knowledge, and organizational politics.<\/p>\n\n\n\n

FDEnts live in that mess. They understand that \u201crevenue\u201d means something different in Sales than in Finance. They know which customer exceptions override standard policies. They\u2019ve sat in the meetings where the real decisions get made.<\/p>\n\n\n\n

This isn\u2019t knowledge you can transfer in a consultant\u2019s discovery phase. It\u2019s knowledge that accumulates over years of embedding. And it\u2019s the knowledge that separates the 5% of AI projects that work from the 95% that don\u2019t.<\/p>\n\n\n\n

The Uncomfortable Implication<\/h2>\n\n\n\n

If I\u2019m right, the next few years will be brutal for the consulting industrial complex. Not because companies will stop needing help\u2014they\u2019ll need more than ever. But because the help that matters can\u2019t be bought by the hour from people who leave.<\/p>\n\n\n\n

The companies that win won\u2019t be the ones with the biggest AI budgets. They\u2019ll be the ones who stopped outsourcing their thinking.<\/p>\n\n\n\n

This means investing in people differently. It means creating career paths for technical talent that don\u2019t force them into management. It means valuing institutional knowledge as a strategic asset instead of treating employees as interchangeable with contractors.<\/p>\n\n\n\n

Most of all, it means recognizing that transformation isn\u2019t something you buy from outside. It\u2019s capability you build inside\u2014and the firms that figure this out first will leave their competitors writing checks to consultants and wondering why nothing ever ships.<\/p>\n\n\n\n

\n\n\n\n

The Call to Action<\/strong><\/p>\n\n\n\n

If you\u2019re a CIO still budgeting seven figures for consulting engagements that have a 95% failure rate, ask yourself: what would happen if you invested that money in Forward Deployed Entrepreneurs instead?<\/p>\n\n\n\n

Find the people in your organization who already bridge the Delta-Echo gap. Give them resources, authority, and air cover. Let them ship something small. Then something bigger.<\/p>\n\n\n\n

The consulting firms won\u2019t tell you this is possible. They have $50 billion reasons not to.<\/p>\n\n\n\n

But the math doesn\u2019t lie. And neither do the results.<\/p>\n\n\n\n

\n\n\n\n

Vernon Keenan is CEO of Keenan Vision LLC and runs SalesforceDevops.net. His research on enterprise AI adoption, conducted in partnership with UC Berkeley Haas School of Business, documented why 95% of GenAI pilots fail\u2014and what the 5% do differently.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

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