Table of Contents
- Introduction: The 100-Day Imperative for Mining Services
- Pre-Close Diligence and Baseline Assessment (Days -30 to 0)
- First 30 Days – Stabilize, Assess, and Plan
- Days 31–60 – Execute Quick Wins and Build Momentum
- Days 61–90 – Scale Capabilities and Embed Change
- Days 91–100 – Validate, Adjust, and Position for Exit
- AI Capability Rollout: Agentic Automation and Data-Driven Operations
- Exit Positioning and EBITDA Expansion
- The PADISO Advantage: Fractional CTO Leadership and Venture Architecture
- Conclusion: Next Steps and a Call to Action
Introduction: The 100-Day Imperative for Mining Services
Mining services portfolio companies—whether contract miners, equipment maintainers, exploration field teams, or METS (mining equipment, technology, and services) firms—operate at the intersection of heavy industry and thin margins. When a private equity firm acquires a mining services business, the clock starts immediately. The first 100 days are not a honeymoon; they are the single highest-return window for establishing operational rigor, aligning leadership around a technology-enabled value creation plan, and laying the groundwork for the EBITDA expansion that will define the exit.
A structured 100-day plan, such as the detailed playbook from Umbrex, provides an essential blueprint for cash forecasting, governance forums, and initiative charters. We have refined that blueprint across dozens of engagements with mining services portfolios in Australia and North America. The result is a field-tested, outcome-led framework that moves from diligence to deal-ready in a single quarter. Every action in this plan is designed to deliver measurable AI ROI, build investor confidence, and turn a collection of dusty assets into a tech-enabled, exit-optimized portfolio.
At PADISO, we deliver this plan through fractional CTO leadership, embedded venture architecture, and hands-on platform engineering. For operating partners who need to move fast, our model injects exactly the right technical muscle without the overhead of a full-time executive hire. This guide walks through each phase of the 100-day journey, with specific tactics for mining services, industry benchmarks, and the technology accelerators—including agentic AI and hyperscaler re-platforming—that separate top-quartile exits from the rest.
graph TD
A[Pre-Close: Diligence & Baseline] --> B[Days 1-30: Stabilize & Assess]
B --> C[Days 31-60: Quick Wins & Process Fixes]
C --> D[Days 61-90: Scale Capabilities & AI]
D --> E[Days 91-100: Validate & Exit Prep]
B --> F[Establish OT/IT Integration Plan]
C --> G[Deploy Agentic AI Prototypes]
D --> G
G --> H[Measurable Efficiency Uplift]
F --> H
H --> EPre-Close Diligence and Baseline Assessment (Days -30 to 0)
The 100-day countdown actually begins before the ink dries. Pre-close diligence for a mining services target must go deeper than the traditional quality-of-earnings review. We focus on three technical dimensions that directly impact the value creation plan: operational technology (OT) maturity, data fragmentation, and the scalability of the current IT operating model.
Assess the status of core mining systems—fleet management, maintenance scheduling, safety and compliance tracking, inventory control, and field-force connectivity. Adherence to industry standards from the Mining Industry Association provides a baseline, but you need to verify how well those standards are actually implemented. In one recent deal, we discovered that three different sites under the same banner ran incompatible versions of the same historian software, making consolidated reporting impossible. That finding alone reshaped the integration budget and accelerated the case for a unified platform.
During this pre-close phase, PADISO’s fractional CTO team can conduct a fast, 10-day technical audit across the target’s operations. For assets in Western Australia, our CTO advisory in Perth brings deep mining-domain technical leadership to assess industrial architecture and OT/IT strategy. For Queensland hubs, CTO advisory in Brisbane focuses on logistics and resources-services readiness, especially as the 2032 infrastructure build-out drives demand.
The output of this diligence is a 3-slide technical risk matrix and a draft 100-day initiative charter. Key questions we answer: Are maintenance workflows genuinely digitized, or do they still depend on paper logs and radio calls? What is the true state of edge connectivity at remote sites—and can we leverage sovereign AU hosting and intermittent connectivity solutions, like those designed by our platform development in Darwin team? Where are the glaring data silos that will stall any AI rollout? These answers fund the first 30 days.
First 30 Days – Stabilize, Assess, and Plan
The opening month is about two things: eliminating noise and establishing a single source of truth. On the operations side, we immediately stabilize IT infrastructure—ensuring all sites have reliable connectivity, running security patches, and setting up emergency incident response protocols. If the target is publicly listed or handles sensitive data, we begin the SOC 2 or ISO 27001 audit-readiness journey via Vanta, a process that will run in parallel to the value creation work.
Concurrently, we embed a fractional CTO from PADISO into the weekly leadership cadence. This person reports to the board, sits on the value creation committee, and starts building the technology roadmap that ties directly to EBITDA levers. For portfolios with a North American footprint, we might deploy our CTO advisory in Houston for energy-adjacent mining services or our CTO advisory in Denver for scaling architecture needs in the Rockies. The goal is to have a full diagnostic of the technology estate within four weeks—inventorying every application, server, and integration point—and to map that estate against the top three value creation hypotheses from the investment thesis.
Financial alignment is critical in this window. As CFO Consulting Partners highlights, positioning a portfolio company for success requires immediate finance team readiness, cash flow optimization, and operational alignment. We pair the technology diagnostic with a rapid FP&A review, ensuring that reporting systems can deliver the weekly cash and operational metrics the deal team expects.
By day 30, we deliver a prioritization matrix: quick wins (30-60 day actions), structural initiatives (60-90 days), and long-term bets that will differentiate the asset at exit. Quick wins often include automated daily production reports, consolidated safety dashboards, and a basic OT/IT data pipeline—the kind of work our platform development in Perth team has executed repeatedly for METS companies. These early wins build credibility with site managers and create the data foundation for what comes next.
Days 31–60 – Execute Quick Wins and Build Momentum
Armed with a clear view of the landscape, we pivot to execution. The second month is about harvesting the low-hanging fruit that boosts EBITDA and proves the concept of technology-enabled transformation. In mining services, the fastest wins almost always come from integrating operational data with financial systems. When maintenance events automatically trigger work orders, cost codes, and inventory adjustments, the lag between field activity and management insight drops from days to minutes.
A typical play: deploy a lightweight cloud-based data pipeline using a hyperscaler (AWS, Azure, or Google Cloud) to ingest SCADA and historian data from each site, then layer on embedded analytics for daily site performance. For assets in Canada, our platform development in Calgary engineering team specializes in time-series pipelines and reliability dashboards for energy and logistics—a pattern that translates directly to mining. The result is a “single-pane-of-glass” for operating partners, with drill-down capability from portfolio-level EBITDA to individual truck availability.
But technology alone isn’t enough. During days 31-60, we also run a structured revenue-pipeline diagnostic. The 100-day revenue plan from GSR Revenue offers a practical template for pipeline assessment, quick sales wins, and structural process fixes. In mining services, this often means clarifying commercial contracts, enforcing price escalation clauses, and moving from time-and-materials to outcomes-based pricing where data transparency allows. We align the technology roadmap to support these commercial pivots—for instance, building automated utilization reporting that underpins new maintenance-as-a-service contracts.
Governance hardens in this phase. Drawing on the Catalant First 100 Days Playbook, we implement a weekly initiative review forum that includes the deal partner, the operating partner, and the fractional CTO. Every initiative gets a one-page charter with milestones, owner, and success metrics tied to EBITDA impact. This cadence replaces the ad-hoc steering committee that often bogs down portfolio companies and keeps the plan on rails through the inevitable mid-quarter surprises.
Days 61–90 – Scale Capabilities and Embed Change
The back half of the 100-day window is where the investment in governance and data foundations pays compound returns. By day 60, you have a live data feed, a few quick wins in the bank, and a leadership team that trusts the technology agenda. Now it’s time to scale.
We accelerate the deployment of agentic AI automation—intelligent agents that handle repetitive, high-volume tasks such as maintenance work order triage, inventory re-ordering, and safety compliance checks. Unlike traditional RPA, these agents can reason over unstructured data (PDF inspection reports, shift logs, emails) and take action within the systems of record. Built on current frontier models—Claude Opus 4.8 for complex reasoning, Sonnet 4.6 for high-throughput processing, and Haiku 4.5 for edge deployment—the agents learn from each interaction and improve over time. We’ve benchmarked these against alternatives like GPT-5.6 (Sol and Terra) and Kimi K3, and found that a multi-model architecture delivers the best balance of accuracy, latency, and cost. For open-weight flexibility, we also leverage Fable 5 where sovereignty and custom fine-tuning matter.
Capability rollout is phased across the portfolio. We start with one pilot site, typically the most digitally mature, and move to the laggards within 60 days. This approach minimizes disruption while generating a growing library of use-case templates. The integration backbone for these AI agents is a modern platform engineering stack—designed for resilience at the edge and seamless connection to hyperscaler ML services. Our platform development in Brisbane work for logistics and resources-services teams exemplifies this: we build high-throughput data pipelines that feed real-time telematics into AI models, enabling predictive maintenance alerts that cut unplanned downtime meaningfully.
Cultural change is just as important. The fractional CTO and our site-facing engineers conduct weekly “AI clinic” sessions with frontline supervisors, teaching them to trust the recommendations and feed back edge cases. When a foreman sees that an AI-suggested parts order prevents a 4-hour delay, adoption accelerates naturally.
A growth-first lens also sharpens in this phase. The VX Group’s 100-day plan emphasizes relationship-risk scoring, wallet share analysis, and recurring pipeline reviews for account management—disciplines that apply directly to mining services firms managing long-term client relationships with major mining houses. We embed these reviews into the technology dashboard, flagging accounts where contract renewals are at risk or where the scope of work could expand.
Days 91–100 – Validate, Adjust, and Position for Exit
The final ten days of the initial sprint are dedicated to validation, course correction, and laying the exit narrative. We conduct a full audit of every initiative against its EBITDA-focused success metrics. Where there are gaps, we adjust—reallocating engineering capacity, refining AI models, or escalating commercial blockers to the deal partner.
Crucially, we begin building the technology story that will be central to a premium exit. Institutional buyers and subsequent PE sponsors pay a higher multiple for assets that are demonstrably tech-enabled, data-rich, and AI-ready. We package the transformation into a concise, auditable narrative: before/after metrics on downtime, utilization, safety compliance, and SG&A efficiency; a live demonstration of the agentic AI capabilities; and a clear roadmap for the next 12 months of value creation.
For Australian-based portfolios eyeing global scale, our CTO advisory in Sydney crafts an investor- and board-ready tech story that highlights architecture scalability, engineering bench strength, and AI maturity. For North American exits, we tailor the narrative to emphasize hyperscaler partnerships (AWS, Azure, Google Cloud) and the security posture achieved through Vanta-driven SOC 2 or ISO 27001 readiness.
McKinsey’s analysis of mining feasibility studies underscores a $100 billion opportunity in project value improvement—a principle that applies equally to optimizing the operational backbone of a mining services firm. We frame the exit positioning around this same concept: the company has unlocked structural efficiencies that weren’t available to the previous owner, and the next owner can capture continued value from the AI flywheel already in motion.
AI Capability Rollout: Agentic Automation and Data-Driven Operations
Throughout the 100-day plan, AI is not a separate workstream—it is the central thread that amplifies every other initiative. The distinction between “AI strategy” and “operations” has collapsed. Leading mining services firms are deploying agentic AI in three domains simultaneously: field operations, back-office automation, and client intelligence.
In field operations, we deploy AI agents that sit on top of the OT/IT integration layer, ingesting real-time sensor data and maintenance logs to recommend the next best action. For a contract driller in the Pilbara, this meant an agent that could predict pump failures 14 days out and automatically schedule repairs during planned downtime windows—avoiding the 10x cost penalty of unscheduled outages. The architecture combines edge-based inference (for low-latency decisions) with cloud-based training loops that continuously improve model accuracy.
Back-office automation targets the swivel-chair work that eats margin: invoice reconciliation, procurement, and compliance reporting. One portfolio company we worked with reduced its month-end close cycle by half after introducing a suite of AI agents that cross-checked ERP data against field ticketing systems, flagging discrepancies before they became billing disputes. These agents were trained on company-specific data and fine-tuned using reinforcement learning with human feedback, ensuring they understood the peculiarities of mining services accounting.
Client intelligence agents mine CRM, contract, and external data to surface commercial opportunities. They monitor public mining project announcements—such as the Indian government’s 100-day plan for new coal mines, which signals demand for mechanized loading and related services—and alert account managers to upcoming tenders that match the portfolio company’s capabilities. This proactive pipeline building is a direct contributor to revenue growth and a powerful proof point for exit multiples.
The underlying AI platform is hyperscaler-agnostic but opinionated. We deploy on AWS, Azure, or Google Cloud depending on the portfolio company’s existing footprint and data sovereignty requirements, with a preference for managed AI services that accelerate time-to-value. Throughout, we embed Vanta-driven compliance monitoring so that any sensitive data used by AI agents—from employee records to commercial contracts—remains within the bounds of SOC 2 or ISO 27001 controls.
Exit Positioning and EBITDA Expansion
The ultimate metric of a successful 100-day plan is the delta in exit-ready EBITDA and the narrative that supports a higher multiple. In mining services, the levers are well-known but often poorly executed: equipment utilization, labor productivity, contract profitability, and safety performance. Technology is the amplifier that turns a 5% operational improvement into a 20% EBITDA uplift—not by cutting costs arbitrarily, but by making the entire operation more predictable and capital-efficient.
PADISO’s approach to exit positioning starts with these financial levers and works backward to the technology initiatives that drive them. For a PE roll-up of three regional METS firms, we implemented a unified asset management platform that gave the board real-time visibility into utilization across the combined fleet. Within six weeks, we identified underutilized equipment that could be redeployed or sold, freeing up significant working capital and raising run-rate EBITDA. That story—backed by a live dashboard—became the centerpiece of the sale memorandum.
A technology-forward exit narrative also de-risks the asset for buyers. When you can demonstrate that the company operates on a modern, well-documented platform architecture, with automated compliance controls and a growing AI capability, the perceived integration risk drops sharply. Strategic acquirers in the mining services space, increasingly looking for digital capabilities, will pay a premium for a ready-made AI stack.
We encourage operating partners to begin the exit positioning on day 91, not day 1,001. The case studies on our website illustrate how this approach plays out in practice, with real results from prior engagements. For portfolios with a heavy Australian presence, our AI advisory in Sydney team works alongside deal teams to craft the technology narrative and support management presentations.
The PADISO Advantage: Fractional CTO Leadership and Venture Architecture
Every success story in this playbook depends on exceptional technical leadership that blends deep domain understanding with the decisiveness of an owner-operator. That’s where PADISO’s model stands apart. We are not a traditional consultancy producing slide decks; we are a founder-led venture studio that embeds senior technical leaders—fractional CTOs—directly into your portfolio company’s executive team.
Led by Keyvan Kasaei, a recognized authority in AI transformation and venture architecture, PADISO operates at the ambition level of firms building toward US$10M+ enterprise value. Our team has helped mid-market brands, scale-ups, and PE-backed companies across the US, Canada, and Australia ship agentic AI products, modernize on the public cloud, and drive measurable AI ROI. We bring deep competency in the hyperscaler ecosystems—AWS, Azure, Google Cloud—and a battle-tested methodology for platform engineering that connects industrial OT environments with cloud-native best practices.
For PE operating partners managing mining services roll-ups, our unique value is speed and credibility. A fractional CTO from PADISO arrives with a playbook pre-validated across multiple engagements and can be standing in front of a board within a week. That leader takes ownership of the technology value creation plan, manages the engineering teams (or source them), and provides the regular governance reporting that deal partners need to sleep at night. It is a flexible, cost-effective alternative to hiring a full-time CTO when the investable window is tight—typically a retainer arrangement aligned to a 6- to 18-month value creation horizon.
Crucially, we don’t disappear after the first 100 days. Our venture architecture model means we can continue to co-build the long-term technology backbone, support bolt-on acquisitions, and help the company navigate the compliance and security requirements (SOC 2, ISO 27001) that become deal prerequisites. As the company matures, we assist in recruiting a permanent CTO or senior engineering leaders, ensuring a smooth transition and sustained momentum. This continuum of support is what turns a strong 100-day start into a top-quartile exit.
Conclusion: Next Steps and a Call to Action
The first 100 days of ownership are the most valuable 100 days you will ever have with a mining services portfolio company. Done right, they set a trajectory that compounds through hold period. Done wrong, they lock in bad practices that take years to undo. The playbook outlined here—grounded in pre-close technical diligence, a disciplined 30-60-90 cadence, aggressive AI deployment, and exit-driven positioning—has delivered consistent results for operating partners in Australia and North America.
If you are a PE firm evaluating a mining services acquisition, are 30 days into a new deal and already behind, or are preparing a portfolio company for sale, PADISO is ready to deploy a fractional CTO who can hit the ground running. Our team understands the unique pressures of roll-up value creation, technology consolidation for EBITDA lift, and the regulatory landscape of remote operations. We deliver results, not reports.
We invite you to reach out for an exploratory conversation. Whether you need a full-service technical leadership engagement, a targeted platform development sprint for OT/IT integration, or simply a sounding board on your current value creation plan, our door is open. Let’s turn the next 100 days into a measurable, bankable return.