Back office automation for portfolio companies

The back office problem no one puts on the board deck

A portfolio company grows and the back office strains. People who were hired to do skilled work spend hours on data entry. Invoices go out late because someone has to pull numbers from three systems. Collections follow up happens when someone remembers. Scheduling and dispatch run on whiteboards and WhatsApp. The reporting pack that reaches the board each month is assembled by hand, and by the time it arrives the numbers are already two weeks old.

Private equity operating partners see this pattern across industries. The front office gets investment and attention. The back office is treated as a cost centre to be kept lean. But a lean back office that runs on manual processes is not lean. It is brittle. One person leaves and a critical workflow sits in their head. The business cannot absorb a bolt on acquisition because the back office systems would collapse under the extra volume.

The fix is not a software licence. A tool that no one configures and no one runs is just another line item. The fix is a sequence: document the process as it actually works, not as the org chart says it works. Automate the parts that repeat. Operate the automation long enough to prove it holds. Then hand over something the company can run. That sequence is what we do.

What back office automation actually covers

The term back office automation sounds broad because it is broad. We mean the administrative workflows that sit between a company and its customers, suppliers, and regulators. Invoicing and payment reconciliation. Document generation from templates that pull live data. Records requests that arrive by email and need to be triaged, fulfilled, and logged. Scheduling of field teams or service appointments. Dispatch logic that assigns work based on skill, location, and availability. Collections follow up that escalates on a schedule, not on a feeling.

We also include reporting. Not the strategic analysis the CFO does, but the weekly and monthly reporting packs that pull data from operating systems and format it for review. When these packs are built by hand, errors creep in. When they are automated, the numbers are consistent period over period and the operating partner can compare one portfolio company to another on a like for like basis.

What we do not do is replace the ERP. We work inside the systems the company already uses or we build lightweight tools that sit alongside them. The goal is not a digital transformation programme that runs eighteen months and needs a steering committee. The goal is to take a specific workflow that hurts and make it stop hurting within a measurable window.

The three phases: document, automate, operate

Phase one is documentation. We sit with the people who do the work and watch them do it. We map the actual workflow, including the workarounds and the exceptions that the process manual never captured. We document data sources, system logins, approval steps, and the edge cases that break the current process. The output is a process map and a spec that both the operating team and the client's own advisors can review.

Phase two is automation. We build the workflow, connect the systems, write the scripts, and configure the tools. This might mean a document generation pipeline that pulls from the CRM and the accounting system. It might mean a scheduling engine that reads technician availability from a calendar and job requirements from a ticketing system. It might mean a collections sequence that sends reminders, logs responses, and flags overdue accounts for human review. We build on infrastructure we own and operate, which means the client does not need to provision servers or manage software updates.

Phase three is operation. We run the automation ourselves for a defined period, typically the first ninety days. During that window we handle exceptions, tune the logic, and train the company's team. We write dispositions back to the client's systems so there is a complete record. At the end of the operating period, the company has a working automated process and a team that knows how to run it. We step back. The company keeps the capability.

A realistic first ninety day window

The first ninety days do not begin with automation. They begin with observation and scoping. In the first two weeks we identify the workflows that will yield the most relief for the least complexity. We look for processes that are high volume, repetitive, and rule based. A process that requires judgement calls on every transaction is a poor candidate for automation. A process that follows a decision tree is a good one.

By week four we have a documented process map and a build plan. The client reviews and approves the scope. We begin building. By week six we have a working version of the automation running in a test environment. We run parallel to the manual process for two to three weeks, comparing outputs and fixing discrepancies. By week ten we cut over to the automated process and we operate it ourselves while the company's team shadows us.

By the end of the ninety day window the automation is live, the company's team has handled a full cycle of exceptions, and we have documented the operating procedures. We do not promise a specific cost reduction or headcount saving. The outcome is a process that runs without the key person dependency it had before. That is the thing we can deliver.

• Weeks one and two: observation, workflow mapping, candidate selection
• Weeks three and four: process documentation, build plan, client sign off
• Weeks five and six: build and configure the automation
• Weeks seven to nine: parallel run, discrepancy checking, tuning
• Week ten: cutover to automated process, operated by our team
• Weeks eleven and twelve: shadowing, handover, operating procedure documentation

Invoicing and collections automation

Invoicing is often the first process we tackle because the pain is obvious and the logic is rule based. A typical portfolio company generates invoices from a mix of systems: the CRM holds the contract terms, the project management tool holds the hours or deliverables, and the accounting system holds the customer records. Someone reconciles these sources manually, formats the invoice, sends it, and logs the activity. When volume grows, the process breaks.

We automate the reconciliation and generation steps. The system pulls contract terms, applies the correct rates, calculates line items, and produces a draft invoice for human review. Once approved, it sends the invoice and logs the event in the client's system. For collections, we build a sequence that sends reminders on a schedule, escalates overdue accounts, and presents a dashboard of aged receivables. The human team still makes the calls on disputed invoices. The automation handles the routine follow up that consumes hours each week.

The benefit is not just speed. It is consistency. Every invoice follows the same format. Every follow up happens on the same schedule. The CFO can see the exact state of receivables without asking someone to pull a report. That visibility matters more than the hours saved.

Scheduling and dispatch automation

Field service businesses, logistics operators, and maintenance companies all run on scheduling. When scheduling is manual, the dispatcher holds the entire operation in their head. They know which technician is available, which jobs are urgent, and which customers will complain if they are pushed to Thursday. That knowledge walks out the door when the dispatcher leaves.

We build scheduling engines that read job requirements, technician availability, location data, and service level commitments. The engine proposes a schedule. A human reviews and approves it. The system dispatches instructions to field teams and updates the customer. When a job runs long or a technician calls in sick, the engine re optimises the remaining schedule. The dispatcher moves from being the single point of failure to being the exception handler.

This kind of automation works best when the rules are clear. If every scheduling decision requires a phone call and a negotiation, automation will not help. We say that plainly during scoping. Some businesses are not ready for scheduling automation because their operating model depends on informal coordination. That is fine. We will find a different workflow to automate.

• Rule based job assignment using skill, location, and availability data
• Automated dispatch instructions to field teams via SMS or app notification
• Real time schedule re optimisation when jobs overrun or staff become unavailable
• Customer notifications on arrival time and job status
• Integration with the client's existing CRM and ticketing systems

Document generation and records requests

Many portfolio companies generate the same documents repeatedly: contracts, statements of work, compliance letters, insurance certificates. Each one pulls data from a different system and requires formatting. When a person does this work, small variations creep in. A clause gets dropped. A date is formatted differently. Over time, the document set becomes inconsistent and the risk of error grows.

We build document generation pipelines that pull live data from the systems of record and populate templates. The templates are locked down so that formatting and required clauses cannot be changed by accident. A human reviews each document before it goes out, but the assembly is automated. For records requests that come in by email, we build triage and fulfilment workflows. The system reads the request, identifies the records needed, pulls them from the document store, and drafts a response. A human reviews and sends.

This work connects to the broader process automation we describe on our process automation page. Document generation is rarely a standalone problem. It is usually one step in a larger workflow that includes approval, delivery, and logging. We build the whole workflow, not just the document assembly step.

Reporting packs that close the books faster

The monthly reporting pack is a ritual in most portfolio companies. Someone in finance spends the first week of the month pulling data from the ERP, the CRM, the payroll system, and a handful of spreadsheets. They format it in PowerPoint, check the numbers, and send it to the CFO. The CFO reviews, adjusts, and sends it to the board. By the time the board sees it, the data is three weeks old.

We automate the data pull and formatting. The system connects to the source systems, extracts the defined data sets, applies the agreed calculations, and populates a reporting template. The output is a draft pack that the finance team reviews and adjusts. The review step stays human because judgement is required. The data assembly step is automated because it is repetitive and error prone.

The operating partner gains two things. First, the pack arrives faster, which means the board discusses current data, not stale data. Second, the numbers are consistent period over period, which means the partner can compare performance across portfolio companies without wondering whether the variance is real or just a formatting difference. That comparability is valuable when you sit across multiple holdings.

• Automated data extraction from ERP, CRM, payroll, and operational systems
• Consistent calculation logic applied period over period
• Populated reporting templates in the client's preferred format
• Human review step retained for judgement and commentary
• Faster close cycle without adding finance headcount

What the company keeps when we leave

The operating model matters. We do not sell a software subscription. We build and operate automation, then we hand over the running system. The company keeps the workflows, the documentation, the operating procedures, and the trained team. We do not hold the process hostage. We do not charge a recurring licence fee for something we built once.

The handover is structured. During the operating phase, the company's team shadows our agents and operators. They learn the exception handling. They run the process under our supervision. By the time we step back, they have operated the automation independently for at least two weeks. The documentation is complete and stored in the client's systems. If the company wants to modify the automation later, they have the source materials and the knowledge to do so.

This approach is different from a consulting engagement that leaves a slide deck and a recommendation. It is also different from a software vendor that sells a platform and leaves the client to figure out implementation. We sit in the middle: we build, we operate, we hand over. The client gets a working process, not a promise. That is the distinction we care about.