March 6, 2026
The traditional private equity playbook is changing. Global dry powder sits at record levels, entry multiples in software and technology remain stubbornly high, and the standard levers of financial engineering and basic operational improvement are no longer differentiators.
The firms that appear to be generating outsized returns from in 2026 have moved on to a third lever: organisational excellence. It's not about headcount reduction. Or a new ERP. Rather, it's the deliberate, data-driven management of human capital with the same analytical rigour and execution discipline that was applied to the capital structure itself.
And the shift may be structural. Financial engineering drove returns in the first wave. Operational excellence and improvement defined the second. In software and technology businesses specifically, the sponsors who will win the next decade are those who treat organisational capability as a quantifiable asset. The product roadmap, the engineering team, the delivery cadence: all of it depends on the quality and alignment of the people executing it.
A strong CEO matters. It is not, however, the primary driver of multiple expansion in a software business. The combined competence and alignment of the entire senior leadership team is. In technology assets, this distinction is particularly acute: a CTO and CPO who are not aligned will produce an engineering organisation that builds the wrong things quickly. A leadership team in conflict will leave a portfolio company directionless regardless of who sits at the top.
The most common cause of deal underperformance is not a bad market or a flawed thesis. It is the failure to act on management gaps early. In software businesses, those gaps compound fast: misaligned leadership slows product decisions, delays engineering delivery, and erodes the talent base.
Increasingly, GPs try to establish fact-based understanding of full leadership team within the first 100 days. This is to ensure the Value Creation Plan is being implemented at pace rather than stalling in the post-close fog. This tactical speed is not cosmetic. And the cost of waiting is almost always higher than the cost of acting.
If the leadership team sets the strategy, middle management is where the Value Creation Plan is either realised or quietly sabotaged. In tech businesses, this layer carries outsized risk: engineering managers, product leads, and delivery leads are the people translating strategy into shipped product. If they cannot execute, the roadmap is fiction.
When this layer is ignored, execution velocity stalls. Managers who cannot translate high-level strategy into sprint-level priorities create drag that compounds across every engineering team. The result is not dramatic failure; it is slow, invisible underperformance that only becomes visible when it is too late to course-correct cheaply.
Leaving middle management unassessed creates three specific risks. Firstly, information flow bottlenecks result in strategic actions not cascading down; emerging risks not escalating up; and leadership operating blind. Secondly, when key institutional expertise leave it can cause stalls. And, thirdly, differing incentives between C-suite and middle layer may mean that the value creation plan only exists in a slide deck, not in day-to-day operations
The fix is to stop treating middle management assessment as a qualitative exercise. More and more firms are applying Maturity Model frameworks to this layer, codifying precisely what "good" looks like across management processes and measuring against it. The same rigour applied to tech due diligence. Applied to the people executing the plan.
Blunt headcount reduction is, necessarily, a blunt instrument. It does generate short-term savings but it can end up destroying the organisational capability needed to execute the growth thesis. In software businesses, this is especially damaging: cutting engineering capacity or product management depth to hit a near-term EBITDA target can set back a product roadmap by 12 to 18 months. The firms that continue to lead with the hatchet are optimising for the wrong metric.
The more productive question is not "how many people can we cut?" but "is our operating model aligned to our investment thesis?" That distinction is where the real efficiency gains live.
Data from Deloitte's 2026 Global Human Capital Trends is clear. Hygiene measures, such as optimising spans of control, basic delayering result in 5-10% savings. Strategic organisation design, that is alignng the operating model to the specific investment thesis, sees up to 20% savings.
Culture often gets dismissed as a soft HR concern until it is too late. In software and technology businesses, the stakes are higher than in most sectors. Engineering organisations are particularly sensitive to cultural dysfunction: slow decision-making, unclear accountability, and poor feedback loops directly reduce delivery velocity. When those behaviours are entrenched, no amount of process improvement or tooling investment will fix it.
In effect, culture is simply the set of repeated organisational behaviours that determine whether a company can make decisions quickly, implement them consistently, and adapt when the market moves. A firm with the wrong culture is not a cultural problem. It is an execution risk. If the organisation cannot translate strategy into action, things ain't going to work. Even with a strong management team, value growth will be delayed if the culture is incapable of translating strategy into actions.
The practical response is to treat cultural assessment the same way you treat financial due diligence: structured, benchmarked, and done early. This is not about employee satisfaction scores. Rather, this is about understanding whether the organisation has clear accountability structures, or does decision-making diffuse upward? Are feedback loops fast enough to catch execution problems before they compound? Is the pace of change the organisation can absorb aligned with the pace the Value Creation Plan requires? The answers to these questions are measurable. Treating them as unmeasurable is a choice, and it is an increasingly expensive one.
Technology due diligence in 2026 has a new question at the centre of it. Not "does the tech work?" but "is this organisation capable of building and shipping at the pace the investment thesis requires?" The two are no longer separable. A software business with a clean codebase but a dysfunctional engineering organisation is still a high-risk asset.
Many firms are now using analytics to quantify human risk before the letter of intent is signed. In software businesses, the focus is on the people who are hardest to replace: senior engineers, product managers, and technical architects whose departure would directly impair delivery capability. Replacing a key hire costs upwards of 150% of annual compensation. Losing two or three critical engineers or product leads in the 12 months post-close can set a product roadmap back by quarters.
Identifying that risk before it materialises is no longer a nice-to-have. It's a must have. The underlying logic is the same as any other form of due diligence: surface the risks early, when they are still addressable, rather than discovering them at the first portfolio review.
The clear and hopeful separation between technology execution, human capital, and financial outcomes no longer exists in software investments. They are the same problem. Sponsors treating them as separate workstreams are leaving returns on the table. Organisational excellence is not a secondary initiative to be addressed once the financial model is locked. It is the system that determines whether the financial model gets executed at all. In a software business, the product roadmap is only as good as the team delivering it. The entry multiple is defended or lost in the first 100 days. The Value Creation Plan is realised or stalled in the layers of engineering and product management no one looked at closely enough. The technology transformation succeeds or fails based on organisational capability that was measurable before the deal closed.
The data exists. The frameworks exist. The question is whether the next software deal gets the same analytical rigour on the human side as it does on the financial side.
At Implement Partners, we help PE-backed technology businesses build that rigour into the process from day one, from pre-close due diligence through post-close transformation.
If you are working through an acquisition or preparing for one, we would be glad to talk through what that looks like in practice. Simply get in touch.
A 30-minute call is usually enough to know whether a Delivery 360 would be useful — and what it would look at in your situation.
