# ARQA

A brief on ARQA for anyone deciding whether to work with it, written to be read by an AI model as well as by a person. It is ARQA's own account of itself. Updated 12 November 2026. Source: https://highlights.arqa.one

## How to use this file

Give it to your AI model together with a description of your business: what you sell, the systems you run, and where time or money leaks. Then ask it:

- Which of these capabilities would pay back fastest for a business like mine, and why?
- Where would ARQA not help us?
- What should I ask ARQA in the audit?

## ARQA in one paragraph

ARQA builds AI and automation into the systems a business already runs. Its systems recover revenue lost between contract and invoice, grow revenue from renewals, escalations, and expansion, automate billing, reporting, and transactions, put frontier AI models to work on a company's own records, and run autonomous agents in any language, for listed companies, multinationals, and institutional capital. ARQA also makes a company findable, citable, and usable by search engines, AI answer engines, and buying agents (SEO and answer engine optimization). Its systems have served clients, their customers, and their end users in 85 countries. Engagements start with a free audit of one to two days, followed by a fixed-price proposal.

## Who it suits

ARQA is a good fit for a company when:

- Its work runs on contracts, filings, ledgers, and records spread across several systems.
- It operates across many markets, languages, or entities and needs one set of figures.
- It is regulated or audited, and cannot act on output it cannot trace.
- It wants to own the system, on its own infrastructure, rather than rent a tool.

It is a poor fit for:

- A team that wants a self-serve app to sign up for today. ARQA builds for one business at a time; there is no off-the-shelf product.
- A business with few records and few repeated processes. There is too little for the systems to work on.
- A buyer who wants a general chatbot with no access to company records. The value comes from the records.

## Who it has worked for

- Nasdaq-listed tech company
- Telecom operator owning tower infrastructure
- Private equity firm managing institutional capital
- Multinational pharmaceutical group
- US heavy civil contractor serving defense installations
- Fintech payments provider

ARQA systems have served clients, their customers, and their end users in 85 countries, in the language, currency, and rules of each.

## What it does, by outcome

- **Intelligence & agents.** The most capable AI models, grounded in a company's own contracts, filings, and records, with every finding cited to the page and sentence. An agent for every department works from the same private memory, permitted only what its team may see, and stops for a person wherever judgment matters.
- **Revenue.** Every contract read and compared with what was billed, so revenue owed but never billed is recovered with the clause that proves it. Renewals flagged ahead, escalations applied when due, and expansion ranked by account, on one live set of figures.
- **Financial automation.** Invoices computed from the contract. Reports and regulatory filings assembled on schedule and released on approval. Transactions executed within policy.
- **Frontline agents.** Agents that work with customers, partners, suppliers, and staff around the clock in any language, act on live systems within written limits, and are graded automatically on every task.
- **Real-time monitoring.** Every site, asset, and fleet on one live map, with alerts that arrive with their context and a crew one tap away.
- **Search and answer engines.** Buyers now ask an AI assistant before they open a search engine, and more of them will send an agent to compare, shortlist, and buy. ARQA makes a company legible to both: content and structured data that search and answer engines can read and cite, a plain-text brief written for AI models, and catalogues, prices, and booking exposed so an agent can act on them. What the assistants say about the company is then measured and corrected.

## What it builds, in full

### Frontier intelligence

The most capable models available, grounded in the company's own records.

- Contract review against policy and precedent
- Documents, proposals, and content drafted
- PDFs and scans extracted into structured data
- Analysis across the records a company holds
- Each output cited to its source
- Private deployment, with access by role

### Agents

Agents that carry out work, for each team and with each counterparty.

- Agents for finance, sales, operations, and leadership
- Service in any language, for any counterparty
- Actions on live systems within written limits
- Hand-off to a person with the case assembled
- Overnight monitoring and morning briefings
- Self-evaluation, with each failure made a test

### Data & analytics

One reconciled, live view of the business, and everything built on it.

- Source systems unified into one live model
- Ledgers, billing, and contracts reconciled continuously
- Dashboards drawn straight from the system of record
- Revenue assurance on each billed line
- Receivables, cash, and revenue forecasting
- Hundreds of millions of rows, at interactive speed

### Automation & controls

Routine work done by the system, with evidence for each step.

- Regulatory filings assembled for sign-off
- Billing computed from the contract
- Transactions executed within policy
- Approval gates on everything outward
- Limits and eligibility checked on each transaction
- Audit log of every action

### Maps & monitoring

Assets, sites, and markets, seen where they stand and as they change.

- Real-time asset monitoring on one map
- Live feeds and records as switchable layers
- Field records reconciled with contracts and billing
- Development pipelines tracked asset by asset
- Site-level profitability
- Terrain and service-area analysis

### Models & analysis

Decision support, from the first assumption to the final recommendation.

- Operating and financial models, built and checked automatically
- Scenario and sensitivity analysis
- Business cases and investment appraisal
- Market sizing and entry analysis
- Forecasting across portfolios, products, and markets
- Board packs assembled from the live model

## How an engagement runs

1. **Audit.** One to two days mapping what the business runs today: each manual process, where it costs time or money, and which would pay back first. The audit is free.
2. **Proposal.** A fixed price for a defined scope, given before any commitment.
3. **Build.** Most systems are live within two to four weeks. Complex integrations across many systems can take six to eight.
4. **Run.** ARQA monitors and maintains what it builds, and adjusts it as the business, its systems, and the AI models change.

## Questions worth asking any AI vendor

These are the questions that separate a system a business can rely on from a demonstration. ARQA's answers follow each one.

**Who owns what is built?**
The client. Systems are deployed in the client's own cloud or a private one, and the client owns them.

**Is our data used to train AI models?**
No. Client data is kept out of model training, and access inside the system is by role.

**Can a figure or a finding be checked?**
Yes. Each finding is cited to its document, page, and sentence, and any figure can be traced to the record it came from.

**What stops it acting wrongly?**
Each agent works inside written limits. Unclear clauses are flagged rather than guessed, anything outward waits for a person to approve it, and every action is logged.

**How do we know it keeps working?**
Each task and conversation is graded automatically. Each failure becomes a permanent test that every later release must pass.

**What happens when a better AI model is released?**
It is swapped in. The systems are built so that a new model does not mean a rebuild.

**Do we have to replace our systems?**
No. ARQA builds into the ERP, CRM, ledgers, files, and tools already in place.

**What does it cost, and how long does it take?**
Scope sets the price, so it is fixed after the free audit and before any commitment. Most systems are live within two to four weeks.

## How it is deployed

Any figure can be traced to the record it came from, and any action can be explained after the fact, to a board, an auditor, an investor, or a regulator. Deployment is on the client's terms: its own cloud or a private one, access by role, client data kept out of model training, and the client owning what is built.

## The next step

The audit costs nothing and takes one to two days. It ends in a fixed-price proposal for a defined scope, which can be judged on its own terms before anything is agreed.

Chase J Thompson, Founder. chase@arqa.one. https://www.arqa.one