Table of Contents
- The Four Engagement Shapes That Matter
- The Real Numbers: What Each Shape Costs Against the $100K–$500K Retainer Band
- Who’s in the Room and What the Reporting Cadence Looks Like
- The Accordion Data: Why Most Portcos Arrive Unprepared for AI
- How PADISO Delivers AI ROI Without the Consulting Theater
- From Efficiency Consolidation to AI Value Creation: The Roll-Up Playbook
- Call Us About Roll-Ups
- Summary and Next Steps
Operating partners have a problem that sounds simple but gets expensive fast: every new portfolio company arrives with a technology stack that nobody fully understands, an engineering team that’s been running on adrenaline, and a board that wants AI to show up in the EBITDA bridge yesterday. A traditional permanent CTO hire takes six months and costs $350K fully loaded before the person has even opened the codebase. That’s why the search term “private equity CTO consulting” keeps climbing—and why the real question isn’t whether to bring in a fractional leader, but which engagement shape actually moves the needle.
At PADISO, we’ve built our CTO as a Service offering around four distinct engagement shapes that map directly to the PE lifecycle. Each one fits inside a $100K–$500K retainer band, puts a senior operator in the room from day one, and comes with a reporting cadence that operating partners can take straight to their Monday morning investment committee. This guide lays out exactly what you’re buying when you hire a PE-focused fractional CTO—and why the firms that treat this as a value-creation lever, not a cost line, are the ones pulling ahead.
The Four Engagement Shapes That Matter
Private equity technology engagements tend to get lumped together under vague labels like “digital advisory.” That’s not useful. The work an operating partner needs three weeks before close looks nothing like the work required six months before exit. We break it into four shapes. Each one has a defined start, a defined deliverable set, and a defined price band.
Pre-Close Diligence Support
You’re 30 to 60 days from signing, and the target’s tech story is a mix of optimistic slideware and a CTO who’s been too busy shipping to document anything. This engagement shape puts a hands-on technical leader inside the deal team to answer the questions that matter: Is the architecture actually cloud-native or just hosted? What’s the real technical debt load? Does the AI roadmap have any substance behind the demos? And—critically—what would a 100-day value-creation plan cost?
We run a structured, sponsor-grade technology due diligence process that covers architecture, security posture, data maturity, team capability, and vendor lock-in. The output is a 20- to 30-page diligence report with a quantified risk register and a rough-order-of-magnitude budget for the first six months of remediation. This shape typically runs $40K–$80K and can be scoped inside a larger retainer if the deal closes. PwC’s research on private equity value creation through digital transformation confirms that the firms that invest in pre-close tech diligence capture materially higher multiples at exit—because they’re pricing the work before the ink dries.
Who’s in the room: Kevin Kasaei, PADISO’s founder, leads every diligence engagement personally, supported by a platform engineer and a security specialist who can validate cloud configurations and compliance posture in real time. Operating partners get a one-page executive summary within 72 hours of the onsite visit, followed by the full report and a live walkthrough with the deal team.
100-Day Stand-Up
The deal closed. Now the clock starts. The 100-day stand-up is the most common engagement shape we run, and it’s designed to answer one question: what do we fix first, and how fast can we ship it? This isn’t a strategy deck—it’s a working CTO embedded inside the portfolio company, making architecture decisions, running vendor evaluations, standing up CI/CD pipelines, and—where the opportunity is clear—shipping an initial AI automation that delivers hard-dollar savings inside the first quarter.
We typically scope this at $120K–$180K for the 100-day window, with the option to convert into an ongoing fractional retainer. The first two weeks are a compressed version of our AI Quickstart Audit—a fixed-scope diagnostic that tells the operating partner exactly where the portco stands on AI readiness, what to retire, and what 90 days could unlock. By day 30, the portco has a prioritized backlog, a hiring plan, and at least one agentic workflow in production. By day 100, the operating partner has a board-ready tech narrative and a measurable EBITDA impact to report.
For portcos in fintech, media, or biotech, we often bring city-specific context: our fractional CTO advisory in New York understands the fintech regulatory landscape, while Boston engagements lean heavily into biotech and pharma compliance patterns. The playbook is the same—rigorous, fast, and outcome-led—but the nuance matters when you’re standing up a regulated architecture in 100 days.
Multi-Portco Platform Consolidation
This is the shape operating partners running roll-ups ask about most. You’ve got three, five, or eight portfolio companies in the same sector, each with its own CRM, its own data warehouse, its own identity provider, and its own way of doing everything. The consolidation opportunity is enormous—we’ve seen EBITDA lifts of 300 to 500 basis points purely from rationalizing SaaS spend and collapsing redundant platforms—but it requires someone who can architect a shared platform without breaking the individual businesses in the process.
This engagement runs on a 12- to 18-month retainer, typically $250K–$500K annually, and covers architecture design, vendor consolidation, shared-services platform build, and migration sequencing. We treat it as a Platform Design & Engineering engagement at the fund level: one platform, multiple tenants, with embedded analytics via Superset and ClickHouse that replace per-seat BI costs across the portfolio. Operating partners get a monthly consolidation dashboard showing run-rate savings realized, migration progress, and any emerging risks.
The external benchmarks are clear. BCG’s framework for technology due diligence in carve-outs highlights that the hardest part of consolidation isn’t the technology—it’s the sequencing and the operating model. That’s why this engagement shape always includes a dedicated program lead who reports directly to the operating partner, not to the individual portco CEOs. The reporting cadence is weekly for the first quarter, then biweekly once the migration engine is running.
Exit Prep
You’re 12 to 18 months from a planned exit, and the buyer’s diligence team is going to tear through the technology stack with a level of scrutiny that most portcos have never experienced. This engagement shape is a reverse diligence: we come in, run the same technical due diligence checklist a buyer would use, and then spend the remaining runway closing every gap that could compress the multiple.
Typical scope: $150K–$300K over 6 to 12 months. We focus on four areas that buyers price hardest: architecture documentation and diagramming, security posture and SOC 2 / ISO 27001 audit-readiness, data governance and AI model documentation, and team continuity planning. By the time the buyer’s diligence team arrives, the portco has a clean, defensible tech story—and the operating partner has a documented uplift in tech maturity that justifies a higher multiple.
VeryDiligent’s comprehensive guide to technology due diligence for PE investors underscores that cybersecurity and data risks are the top value-eroding findings in sell-side diligence. We address those head-on, using Vanta to get the portco audit-ready in weeks, not months. The reporting cadence is monthly, with a traffic-light dashboard that the operating partner can share directly with the deal team.
The Real Numbers: What Each Shape Costs Against the $100K–$500K Retainer Band
PE firms don’t buy hours; they buy outcomes. So we price against outcomes, not time. The table below maps each engagement shape to its typical cost range, the primary outcome, and the retainer band it fits within.
| Engagement Shape | Typical Cost | Primary Outcome | Fits Within |
|---|---|---|---|
| Pre-Close Diligence Support | $40K–$80K | Sponsor-grade tech diligence report with quantified risk register and 6-month remediation budget | $100K–$500K retainer (if deal closes) |
| 100-Day Stand-Up | $120K–$180K | Working CTO embedded; prioritized backlog, AI automation shipped, board-ready narrative | $100K–$500K retainer |
| Multi-Portco Platform Consolidation | $250K–$500K/yr | Shared platform architecture, vendor consolidation, 300–500 bps EBITDA lift from SaaS rationalization | $250K–$500K annual retainer |
| Exit Prep | $150K–$300K | Clean sell-side tech story, SOC 2/ISO 27001 readiness, documented multiple uplift | $100K–$500K retainer |
These aren’t theoretical bands. They’re the actual ranges we’ve delivered against across 50+ businesses that have generated over $100M in revenue through strategic technology leadership. Every engagement starts with a fixed-scope diagnostic—our AI Quickstart Audit—so the operating partner knows exactly what they’re buying before the retainer kicks in.
For firms that want to test the waters, we also offer a single transformation project up to $100K. This can be a targeted AI automation, a cloud migration sprint, or a security audit-readiness push. It’s the same team, the same rigor, just scoped to a single deliverable.
Who’s in the Room and What the Reporting Cadence Looks Like
One of the biggest frustrations we hear from operating partners is that big consultancies send a partner to the pitch meeting and a team of analysts to the actual work. That doesn’t happen here. PADISO is founder-led by Kevin Kasaei, and Kevin is directly involved in every engagement—leading diligence, setting architecture direction, and presenting to investment committees. The rest of the team scales around the problem: platform engineers who’ve built multi-tenant SaaS on AWS, Azure, and Google Cloud; AI engineers who ship agentic workflows using the Claude 5 family (Opus 5, Sonnet 5, Fable 5) and Haiku 4.5 for fast-tier automation; and program leads who keep the operating partner informed without drowning them in detail.
Reporting cadence is non-negotiable. Every engagement includes:
- Weekly one-page status: what shipped, what’s blocked, what’s next, and a single metric that moved.
- Monthly operating review: a 30-minute call with the operating partner and, where relevant, the portco CEO, covering progress against the value-creation plan, budget burn, and any resourcing decisions needed.
- Quarterly board pack: a polished, diligence-grade update suitable for the fund’s limited partners or investment committee, including architecture diagrams, AI ROI metrics, and a forward-looking risk register.
For multi-portco consolidation engagements, we add a monthly consolidation dashboard that tracks run-rate savings, migration status, and platform health across all portfolio companies. The operating partner can forward that dashboard directly to the fund’s CFO without editing a single cell.
The Accordion Data: Why Most Portcos Arrive Unprepared for AI
Accordion’s May 2026 survey of 150 PE tech and AI operating partners surfaced a statistic that should make every fund pause: 75% of portfolio companies arrive at close unprepared for AI deployment. Not “behind on their roadmap”—unprepared. No data strategy, no model governance, no evaluation framework, and no internal capability to run an AI initiative safely. Another 41% are scaling AI without a playbook—meaning they’re shipping features but can’t explain to a buyer how their models were trained, what data they ingested, or what guardrails are in place.
That’s a value-creation gap the size of a closing multiple. Buyers are increasingly pricing AI readiness into their diligence models. A portco that can demonstrate a documented AI deployment with measurable ROI, clean data lineage, and a defensible model governance framework commands a premium. A portco that’s “experimenting with AI” but can’t produce an architecture diagram gets a haircut.
This is where a fractional CTO who understands both the technology and the diligence process earns their retainer in a single quarter. We don’t just ship AI; we ship AI that’s diligence-ready. Every agentic workflow we deploy comes with model cards, evaluation logs, and a cost-tracking dashboard that shows exactly what the AI is delivering against the P&L. When the buyer’s diligence team asks for AI documentation, the operating partner hands over a folder that’s already been through a sell-side technology due diligence review.
How PADISO Delivers AI ROI Without the Consulting Theater
The AI consulting market is full of firms that will charge you $500K for a strategy deck and a prototype that never sees production. We take the opposite approach. Our AI & Agents Automation practice starts with a fixed-scope AI Quickstart Audit that tells you what to ship first, what to retire, and what 90 days could unlock. Then we ship it.
We build on the current generation of frontier models—Claude Opus 5 and Sonnet 5 for high-reasoning tasks with 1M-token context windows, Fable 5 for the most capable widely released workloads, and Haiku 4.5 for fast-tier automation where latency matters more than depth. We run these on hyperscaler infrastructure (AWS, Azure, Google Cloud) with the cost controls and observability that diligence expects. The result is agentic workflows that actually reduce headcount cost, accelerate deal close, or surface revenue opportunities—not demos that look good in a board deck.
For portcos that need to get SOC 2 or ISO 27001 audit-ready, we pair the AI work with a security posture overhaul using Vanta, so the compliance story and the AI story reinforce each other. That dual-track approach is especially powerful in exit prep, where a clean security audit and a documented AI ROI can together move the multiple by a full turn.
From Efficiency Consolidation to AI Value Creation: The Roll-Up Playbook
Most PE firms come to us initially for efficiency consolidation—and that’s the right starting point. Rationalizing SaaS spend, collapsing redundant platforms, and moving workloads to a shared hyperscaler architecture can deliver 300 to 500 basis points of EBITDA lift inside 18 months. Our Platform Design & Engineering engagement for multi-portco consolidation is built exactly for this: one platform, many tenants, with embedded analytics that replace per-seat BI costs.
But the bigger prize is what comes next. Once the portfolio is running on a common platform, you can layer AI across every business simultaneously. A shared data layer means you can train models on portfolio-wide data, not just single-company silos. A common identity and security posture means you can deploy agentic workflows once and roll them out everywhere. And a single architecture means you can present a unified AI story to buyers that’s far more compelling than eight separate “AI experiments.”
This is the roll-up playbook that turns a cost-savings exercise into a multiple-expansion story. We’ve seen it work across fintech, media, biotech, and retail—each with city-specific expertise from our San Francisco, New York, Boston, and Sydney teams. The common thread is a fractional CTO who thinks like an owner, not a consultant—someone who’s willing to say “don’t build that” as often as “build this.”
Intelance’s technology due diligence checklist for UK private equity emphasizes that ownership, people risk, and cost runway are the three factors that make or break a roll-up’s technology consolidation. We address all three: we assess code ownership and IP risk during pre-close diligence, we build hiring and retention plans that keep key engineers through the integration, and we model cost runway under multiple cloud and licensing scenarios so the operating partner never gets surprised by a runaway AWS bill.
Call Us About Roll-Ups
If you’re an operating partner running a roll-up—or planning one—we want to talk. Not about a generic “digital transformation” engagement. About the specific consolidation architecture that will unlock 300 to 500 basis points of EBITDA across your portfolio. About the agentic AI workflows that can reduce back-office headcount by 20% while making the remaining team more effective. About the exit-prep timeline that will have your portcos diligence-ready 12 months before you run a process.
We work inside a $100K–$500K retainer band, and we’ll scope the first engagement tight enough that you can see results before the next quarterly board meeting. Whether you need pre-close diligence on a target that’s promising AI but can’t prove it, a 100-day stand-up for a newly acquired portco, or a multi-portco platform consolidation that spans three continents, we have the team and the playbook to deliver.
Book a call and let’s walk through your portfolio. We’ll tell you what’s possible, what it costs, and how fast we can ship.
Summary and Next Steps
Private equity CTO consulting isn’t about filling a seat. It’s about putting a senior operator in the room who can compress timelines, de-risk technology decisions, and turn AI from a buzzword into a line item on the EBITDA bridge. The four engagement shapes we’ve laid out—pre-close diligence, 100-day stand-up, multi-portco consolidation, and exit prep—cover the full PE lifecycle, each with a defined cost band and a defined reporting cadence.
The data from Accordion’s 2026 survey makes the urgency clear: 75% of portcos arrive at close unprepared for AI, and 41% are scaling without a playbook. That’s a value-creation gap that a fractional CTO can close in a single quarter. And for firms running roll-ups, the combination of efficiency consolidation and AI value creation is the most direct path to multiple expansion we’ve seen.
Next steps: if you’re evaluating a deal and need pre-close tech diligence, start with a call. If you’ve just closed and need a 100-day stand-up, start with our AI Quickstart Audit. If you’re running a portfolio and want to consolidate platforms, book a call and we’ll walk through the architecture. And if you’re 12 to 18 months from exit, let’s run a reverse diligence now—before the buyer’s team finds the gaps you didn’t know you had.
PADISO is founder-led, outcome-obsessed, and built for the speed private equity demands. We ship. We report. We don’t do theater.
Explore our case studies to see how we’ve delivered for companies across industries, or read more on our blog for deeper dives on AI strategy, platform engineering, and security audit-readiness.