HOLD.co

Technology · HOLD.co portfolio

ERP.io — the AI ERP that starts on the system you already run.

ERP.io is an agentic ERP platform and an implementation practice. It integrates the accounting, banking, CRM and commerce systems a company already operates into a single business graph, puts finance agents to work inside them at an authority level you set, and proves every number ties against the books you already keep — before you ever consider replacing anything.

A HOLD.co company

Built inside a holding company that had to close its own books.

ERP.io is a HOLD.co technology company, operated by Nead, LLC, and sits alongside DEV.co, LLM.co, Automatic.co, RMA.ai, Search.co, RFP.co, VDR.ai and Manufacturing.co in our technology segment.

The problem is one we own. HOLD.co runs a portfolio of operating brands across marketing, software, cybersecurity, legal, talent and finance — a set of legal entities with intercompany activity, shared services, separate bank stacks and a monthly close that has to consolidate all of it. The available answers were to keep reconciling in spreadsheets, or to bet a year of finance capacity on replacing the accounting system outright.

ERP.io was built as the third answer: integrate first, automate the work that a person should never have been doing, and prove the new ledger against the old one every morning until replacing it becomes a formality rather than a project. It was then hardened into a commercial platform and a services practice, and it now runs on the portfolio it was built for.

The problem

Every company outgrows its finance system years before it dares replace it.

The gap between what a mid-market company needs from its books and what its books can do is usually filled by people, spreadsheets and month-end overtime — because the alternative on offer is a replacement project with a poor success rate.

Replacement is the riskiest project finance can run

Roughly seven in ten ERP implementations miss their original business case. The cost is rarely the license — it is a year of the finance team's attention, a cutover that lands mid-quarter, and a business case nobody revisits once the invoice is paid.

The numbers already live in a dozen systems

The accounting system holds the ledger, but the bank, the payment processor, payroll, the CRM and the commerce stack each hold part of the truth. Department P&L, entity roll-up and any honest forecast are reconstructed by hand, in a spreadsheet, every month.

Automation stops at the ledger, for good reason

Most finance automation either sits outside the books and changes nothing, or writes into them and becomes a control problem. A system that lets a model post a journal entry has quietly moved the audit boundary, and usually nobody wrote that decision down.

Nothing proves the new system is right

Migrations go live on faith. Balances are loaded, a period is closed, and the first real test of whether the new ledger agrees with the old one happens after the old one has been switched off — which is exactly the wrong order.

How it works

AI proposes. The ledger is not negotiable.

The design decision underneath the whole product is a separation of powers: models read and reason, deterministic code decides and posts, and people hold the exceptions. Everything else follows from that.

01

Agents propose

Each agent reads source documents and system state, reasons about them, and produces a proposed action with its confidence and the records it relied on. Reading and reasoning are where a model is strong, and that is the whole of what it is trusted to do.

02

A deterministic policy engine decides

Every proposed action passes a rules engine written by your controller — not a model — before anything is committed. The engine is deterministic, versioned, and simulated against your own history so you can see what a policy would have done last quarter before enabling it.

03

Exceptions go to a person, not into the books

Anything the policy engine rejects lands in a human queue with the evidence attached. The failure mode of the system is a task in someone's inbox, never a surprise entry in the general ledger.

04

The ledger stays deterministic

AI never writes to the general ledger directly. Posting is done by ordinary, testable code against ordinary double-entry rules, which is what keeps the books explainable to an auditor who has no interest in how the entry was drafted.

05

Everything is recorded

Agent, model, prompt context, source records, confidence, policy applied, approver, timestamp and the resulting transaction — every action carries a full trail, so the question is never whether an entry can be explained.

06

Accuracy is measured, not claimed

Straight-through rate is tracked per workflow, per customer, per week, with regression gates that block a model change which makes it worse. A vendor claim about accuracy is worth less than a chart of your own.

The shadow ledger

We don’t ask you to trust a new ledger. We prove it.

From the first day of an engagement, ERP.io maintains a parallel double-entry ledger built from your own source data — bank activity, invoices, bills, payroll, payments — and reconciles it against the books you already keep. Every morning, per account, per period, to the penny.

That inverts the usual order of a migration. Instead of loading balances and discovering discrepancies after the old system is gone, the new ledger has to agree with the incumbent for months before anyone is asked to rely on it. A break is a bug report on day nine, not a restatement in quarter three.

It also changes what replacement means. When a company does eventually move, there is no cutover weekend and no data migration — the shadow ledger is already correct and already current. Switching is turning off the write-back to the old system.

The agents

A finance team that does the parts nobody wanted.

Each agent owns a workflow end to end, operates at an authority level you set, and hands back the exceptions rather than the busywork. They share the same business graph, the same policy engine and the same audit trail.

Accounts Payable

Reads the bill, identifies the vendor, codes the expense, matches the purchase order, routes approval.

Accounts Receivable

Issues invoices, watches ageing, and prioritises collections by payment behaviour and relationship.

Controller

Reviews journal entries, flags anomalies, reconciles balances, and drives the close checklist.

CFO

Forecasts cash, models scenarios, explains margin movement, and drafts the board pack.

Reconciliation

Matches bank activity to the ledger and proves the tie-out every morning.

Month-End Close

Runs the checklist, chases owners, ties subledgers, and surfaces what is blocking sign-off.

Procurement

Watches consumption, compares vendors, drafts the purchase order, and requests approval.

Revenue Recognition

Builds and maintains ASC 606 schedules from the contracts themselves, not from spreadsheets.

Authority model

You decide what an agent is allowed to do.

Five levels, set per agent, per workflow and per dollar threshold — the same delegation model a controller already applies to people. An agent cannot promote itself, and the level in force is recorded on every action it takes.

Level 0

Observe

The agent reads and reports. It proposes nothing and changes nothing.

Level 1

Recommend

It drafts a recommendation with its evidence, and a person decides.

Level 2

Prepare

It stages the work — a coded bill, a drafted PO, a built schedule — for approval.

Level 3

Execute within policy

It completes work that falls inside explicit policy limits, and escalates the rest.

Level 4

Execute and report

It runs the workflow and reports by exception, within the thresholds you set.

The platform

One business graph, and every module reading from it.

Rather than a finance system bolted to a separate CRM bolted to a separate project tool, ERP.io reads your accounting system, bank, payments, payroll, CRM and commerce stack into a single model. That is what makes department P&L, entity roll-up and useful agent context possible without replacing anything first.

Financial core

General ledger, accounts payable and receivable, banking and reconciliation, month-end close, financial reporting, fixed assets, revenue recognition.

Front office

CRM, marketing automation, project management, quotes and proposals, sales orders, subscription billing, customer records and self-serve client portals.

Operations

Projects and time, project profitability, purchasing, expenses, approvals and workflow, inventory, multi-entity and multi-currency.

Platform and data

The unified business graph, universal search, custom modules, integrations, a developer API, an MCP server, webhooks and events, budgeting and forecasting.

Trust and controls

The shadow ledger, reconciliation proof, audit trail, auditor access, a correctness suite, permissions and roles, security and reliability.

The application suite is delivered as modules on one shell with a single identity layer, so finance, CRM, project delivery, marketing, e-signature and product lifecycle management share one set of records, one permission model and one audit trail rather than four integrations and a nightly sync.

The practice

Most of the work starts on someone else’s ERP.

ERP.io is not only software. A large share of revenue is implementation, integration and rescue work on systems the client already bought — which is also how the platform earns the right to be considered later.

01

Implementation rescue

Stalled, over budget, or live but not closing. ERP.io takes over deployments already in flight and gets the books closing again.

02

ERP implementation

NetSuite, Sage Intacct, Acumatica, Dynamics 365, Odoo and QuickBooks, implemented on a fixed scope by people who will still be there at close.

03

Systems integration

Accounting, CRM, payroll, banking, payments and commerce joined into one business graph — the prerequisite for every agent above.

04

Migration with proof

Moving systems with a reconciliation proof for every period. Nothing goes live until it ties, per account, per period.

05

Custom modules and agents

The workflow your ERP does not have, built as a hosted module on your own data instead of another spreadsheet nobody owns.

How it’s built

A ledger is a legal record. The software treats it like one.

Books are relied on by lenders, auditors, boards and tax authorities, and a plausible-looking wrong number is worse than an obvious one. The constraints below are architectural, not settings.

AI never writes to the general ledger
Policy is deterministic, versioned, and authored by your controller
Policies simulate against your own history before they go live
Rejected actions become human tasks, never silent entries
Authority is set per agent, per workflow, per dollar threshold
Every action stores its model, context, confidence and approver
The shadow ledger reconciles daily, per account, per period
Straight-through accuracy is published per workflow, per week
Regression gates block a model change that lowers accuracy
Every content page states where the product does not fit

Who it serves

Companies that outgrew QuickBooks and can’t justify NetSuite.

The core market is roughly $5M to $100M+ in revenue, often several entities, usually running an accounting system that was correct for the company they were four years ago.

Professional services firms
Marketing and creative agencies
Software and SaaS companies
IT services and MSPs
Construction
Distribution
Ecommerce and retail
Field services
Staffing and recruiting
Multi-entity groups
PE-backed portfolios
Post-acquisition integrations

Where it doesn’t fit

The product tells buyers when to buy something else.

Every content page on erp.io carries a section stating where the product is the wrong choice, and the site means it. The financial platform is not a manufacturing ERP: it has no MRP run, no BOM engine and no shop-floor control, and a discrete manufacturer that needs those should buy Acumatica or NetSuite. ERP.io says so on its own manufacturing page.

The one correction to that: ERP.io does build product lifecycle management — parts, engineering bills of material, change orders and effectivity — as a separate product. PLM describes what a product is; an MRP decides what to buy and build. They are different systems and the site keeps them apart.

Below roughly $5M in revenue with a single entity and clean books, a good bookkeeper and QuickBooks remain the right answer. ERP.io starts paying for itself when consolidation, intercompany, project profitability or transaction volume have made the manual version genuinely expensive.

The public layer

A category reference that ranks competitors above itself.

Alongside the platform, erp.io publishes an ERP software directory — systems, accounting tools, AP automation, inventory, implementation partners and consultants — ranked on published criteria with no paid placement and ownership disclosed on every page. Competitors regularly place above ERP.io in its own rankings.

It is paired with head-to-head comparisons, buying guides, a requirements checklist, an RFP template, research on why implementations fail, and free tools: an honest “have you outgrown QuickBooks?” assessment, a cost calculator, a TCO model, a migration estimator and an implementation risk score.

The reasoning is straightforward. A buyer choosing an ERP is making a decision they will live with for a decade, and the reference they trust while making it is worth more than any single deal it could win.

Our thesis

The mid-market runs on finance systems it outgrew years ago, because the only way out has been a project most companies fail. Make integration the first step and proof the second, and replacement stops being a bet — which puts real financial infrastructure within reach of a great many more companies.

See it run on your own books.

Tell ERP.io what you run today and they will show you the integrated, agent-run version of it on your data — including the daily tie-out — before you commit to anything.

Interested in the platform or the portfolio?

Whether you want to run your finance stack on ERP.io or you're an owner, operator, or investor exploring a deal with HOLD.co, start a confidential conversation.