There is a conversation that happens in most IT consultancies at some point, and it tends to feel the same way every time it comes up.
A client – usually a good one, the kind you have worked hard to build a relationship with – asks whether you can support something that sits just outside what you normally do. A complex data migration. Integration work across multiple legacy systems. A broader transformation programme that needs capabilities your team does not currently have in any depth.
The honest answer is that you probably cannot. Not well. Not without either overstretching the team you have or making promises about a capability you would essentially be building in real time on a live client engagement.
But saying no to a good client is uncomfortable. So the temptation is to find a way to say yes and work out the details later.
That decision is where a lot of consultancy growth stories quietly start to go wrong; though made with good intentions, under relationship pressure. And it is happening more often, not less, because the demands clients are placing on consultancies have changed faster than most consultancies have changed in response.
The market is moving towards integrated engagements
Global digital transformation spending is on track to approach four trillion dollars by 2027[1], and clients buying into that spend are no longer looking for narrow point solutions. The IT consulting services market itself was valued at $561.8 billion in 2024 and is projected to reach $906.47 billion by 2032, with cloud integration, digital strategy and cybersecurity cited as the dominant drivers[2]. Inside that growth story is a quieter shift: the kinds of engagements clients are willing to spend on increasingly require capabilities that span data, integration, analytics, change management, and a dozen other disciplines that each carry their own complexity.
This is where the ceiling appears for most mid-market consultancies.
You can only grow as fast as the capability you have allows. Hiring is the obvious answer, but specialist skills in areas like data migration and integration are expensive, the talent market for them is competitive, and the demand for them across your project portfolio is rarely consistent enough to justify building a permanent team around it. You might need deep data expertise intensively for three months and then barely at all for the next six. Industry research suggests that around 67% of digital transformation initiatives are delayed because of IT skill shortages[3] – a figure that captures the size of the gap between the work clients want done and the people available to do it.
Building internally to meet intermittent demand is an expensive way to manage a business. But the alternative, turning down work or taking it on without the depth to deliver it properly, carries its own costs.
What happens when consultancies stretch too far
The pressure to grow tends to win out over the caution that should accompany it. Which means most consultancies, at some point, take on projects that push beyond what they are genuinely equipped to deliver.
Sometimes it works out. The team rises to it, learns on the job, and the client never fully sees the strain behind the delivery.
More often, the gaps show up somewhere. In data migration work that runs into quality issues nobody anticipated because the team did not have the depth to spot them early. In integration work that looked straightforward until it encountered the specific quirks of the client’s legacy environment. In a go-live that was messier than it should have been because the data was not prepared properly before it happened.
This is not a marginal problem. Gartner research has consistently found that around 70% of data migration projects fail to meet their objectives, often because of underestimated complexity, poor planning, or insufficient validation[4]. And although figures vary across sources, the broader picture for digital transformation is similar: roughly 70% of initiatives do not meet their stated goals, with Bain’s most recent transformation research suggesting as many as 88% fall short of their original ambitions[5].
The cumulative effect on a consultancy’s reputation (and on the confidence of its own team) is real. And it tends to build gradually in a way that is hard to see clearly until the pattern is already established.
Why hiring your way out does not solve it
The conventional answer to this problem is to build the internal capability, expand the team, and stop being dependent on what you currently have.
It is a reasonable instinct, but it misses something important about how consultancy work actually flows.
Transformation projects do not arrive in a steady stream that can be planned around. They cluster, overlap, and then thin out. The data migration expertise you desperately needed on three simultaneous engagements last quarter might be sitting underutilised next quarter. The integration specialists you hired to support a major programme have a finite shelf life of usefulness if the next programme does not need the same depth.
Building permanent headcount around capabilities that are needed intermittently and intensively is one of the least efficient ways to scale a consultancy. The overhead is fixed. The demand is not.
There is also a more fundamental issue. Deep specialism takes time to build. You do not create a genuinely strong data migration capability by hiring two people and hoping the projects teach them what they need to know. The kind of expertise that allows you to walk into a complex engagement and anticipate the problems before they surface comes from doing the same kind of work across many clients and environments over a meaningful period of time. To know where the data quality issues are likely to hide, where the integration dependencies will be misunderstood, where the go-live plan is underestimating what is required.
You cannot hire that quickly. And you cannot build it on the job on a client engagement where the client is paying for you to already have it.
What partnership-led growth actually looks like
The consultancies expanding most effectively into complex transformation work right now have largely stopped trying to own every capability internally.
The Big Four offer one model of how this is playing out at the top of the market. Strategic partnerships with hyperscalers such as AWS, Microsoft Azure and Google Cloud are now central to how firms like Accenture, Deloitte, IBM and Capgemini expand their cloud migration and modernisation portfolios[6]. The pattern is the same at smaller scales: build deliberate partnerships with specialists who bring genuine depth, and structure those relationships so the right expertise can be brought into an engagement without carrying the overhead of that expertise permanently.
The distinction is important. This is not subcontracting work out because you cannot do it. It is assembling the right combination of capability for each project, with the consultancy maintaining the client relationship, the overall delivery accountability, and the commercial ownership; while drawing on specialist partners for the components that require depth the internal team does not have.
Done well, it changes which projects are winnable. Proposals that would previously have felt like a stretch – because the data migration component was too complex, or the integration requirements too specific – become credible because the capability behind them is real. Clients see a team that covers the full scope of what is needed rather than a core team with gaps around the edges.
And because the specialist expertise is genuinely there rather than being promised and then improvised, the delivery holds up under pressure in a way that stretching the internal team rarely does.
The commercial case stated plainly
Partnership-led models allow consultancies to pursue higher-value, more complex engagements without the fixed cost of building every required capability internally. They reduce delivery risk by ensuring specialist components are handled by people whose entire focus is on that domain. And they create a more flexible business. One that can scale to meet demand rather than being constrained by what the permanent headcount can absorb.
The revenue potential is straightforward. Larger engagements. Deeper client relationships. Access to transformation programmes that would previously have been out of reach.
The less obvious benefit is competitive positioning. In a market where clients are increasingly sophisticated about what good delivery looks like, and where the consequences of a difficult implementation are visible and expensive, being able to demonstrate genuine specialist capability across the full scope of a programme is a differentiator that matters.
Where Dajon fits into this model
Dajon Data Management works with IT consultancies as a specialist data partner, focusing specifically on data migration, integration, and structured data preparation. These are the components that sit at the heart of most complex transformation programmes, and the ones that carry the highest risk when they are not handled with the right depth of expertise.
For consultancies looking to expand into more complex transformation work, we provide the capability that makes that expansion credible – not just in terms of what can be promised in a proposal, but in terms of what actually gets delivered when the project is live and under pressure.
The client relationship stays with the consultancy. The accountability stays with the consultancy. What changes is that the data components of the engagement are being handled by people who have done this work extensively, across different industries and different environments, and who know what the problems look like before they surface.
The question worth sitting with
Most consultancies are not limited by the quality of their relationships or the ambition of their leadership.
They are limited by the gap between the work clients want and the capability available to deliver it.
Partnerships are one of the most direct ways to close that gap – not as a temporary workaround, but as a deliberate and permanent part of how the business is structured. The consultancies that have made that shift are not compromising on quality or diluting their offering. They are delivering more of what their clients need, with more confidence, and winning work they previously could not.
If your consultancy is leaving transformation opportunities on the table because they push beyond your current capability, it is worth asking whether that has to be the limit.
Dajon Data Management works alongside IT consultancies as a specialist data partner, supporting the data migration and integration components of complex transformation programmes. Get in touch to explore how a partnership could extend what your consultancy can credibly deliver.
References
- Why Do 70% of Digital Transformations Fail? Mendix[↩]
- IT Consulting Services Market is expected to generate a revenue of USD 906.47 Billion by 2032 Verified Market Research[↩]
- Digital Transformation Consulting Services Market 2026-2035 Business Research Insights[↩]
- Top 10 Data Migration Risks and How to Avoid Them in 2025 Kanerika[↩]
- Why 70% of Digital Transformations Still Fail in 2025 MeltingSpot[↩]
- Digital Transformation Consulting Services Market Size [2034] Fortune Business Insights[↩]