Short timeline · any system

Any system can be connected to AI. In the short term.

CRM, chat, invoicing, scheduling, collections, costing, and operations: we connect the model to what you already run, in the short term.

Two colleagues reviewing a laptop together

AI in your software

We wire AI into the software you already run.

The model quotes, collects, schedules, and invoices on the systems you already run. That is how AI enters daily operations.

What a company actually buys

The bridge between AI and daily work — sales, collections, care, operations — on the systems you already pay for. Delivered in weeks.

Commercial discovery

We start with the pipeline and receivables: where quotes stall, follow-up dies, invoices sit, or collections go cold. You leave with 3–5 processes ranked by cash recovered and hours returned.

Agents on any system

If it has an API, webhook, mailbox, or export, it can be wired in the short term. CRM, ERP, helpdesk, storefront, calendar, billing, spreadsheet. The agent reads, writes, and fires actions. A person steps in to sign or when the case is ambiguous.

RAG for selling and collecting

RAG means retrieval-augmented generation: the assistant searches your price lists, credit policy, discounts, contracts, and collection scripts first. Answers cite the source.

Chat and customer care

WhatsApp, web, voice, or the desk you already have. The agent quotes, takes orders, books appointments, checks balances, and escalates to a human with context, in your brand voice.

Invoicing, scheduling, and costing

Issue or look up invoices, book visits, estimate costs, move inventory or work orders. AI operates on the system you already have. Master data stays where it lives today.

Copilots for the team

For salespeople, collectors, and ops leads: account summary, next step, follow-up draft, aging alert. Internal productivity first; the public channel once the rail is trustworthy.

Any system. Yours included.

If the company already runs it, it can be wired in. Bring yours.

CRM and pipelineChat and service deskWhatsApp and socialElectronic invoicingERP and accountingScheduling and appointmentsE-commerce and ordersCosting and quotesInventory and WMSCollections and receivablesHelpdesk and ticketsSpreadsheets and reports

What RAG means

RAG: the model searches your company rules before it talks to a customer

Retrieval-augmented generation: generate after you retrieve.

RAG adds a search step. It opens your price list, collections policy, contract, or account history first, then answers, with a citation.

Three steps, on the floor and in receivables

Retrieve

The question — price, terms, balance, discount, appointment — is searched across your files and systems: commercial policy, ERP, billing, CRM. Only what belongs to that account or product comes in.

Augment

Those snippets are attached to the prompt. The model does not “remember” your company. It has this turn’s commercial rule in front of it.

Generate

It drafts the follow-up, quote, or collection reminder in your brand voice, and points to the clause or the document. If there is no evidence, it does not close the deal blind.

Team collaborating around a laptop

Without RAG

“The usual discount is 15% at 30 days.” It sounds right, but it does not match your price list and finance will not sign it.

With RAG

“Price list v.6, tier-A customers: 8% from $4,000, net 15. Account current per the ERP.” There is a source. There is a log. You can collect on it.

It pays off when sales and collections ask the same thing all day and the answer lives in a PDF, an ERP, or a credit policy.

Where your competitors are already buying time

We start with sales and collections because that is where cash shows up. The same pattern applies to any flow that still copy-pastes between systems.

Sales and quoting

The agent builds the proposal with live prices and stock, drops it in the CRM, and flags the salesperson if margin falls outside policy.

Collections and receivables

Reminders, payment matching, aging priority, a script for the collector. The human negotiates. AI does not let the invoice go cold in an inbox.

Chat and customer care

Order, balance, complaint, “when does it arrive?”. It queries the system and escalates with the full thread.

Invoicing

Issue, look up, correct, or push into the billing tool you already have. AI operates on that system.

Scheduling

Appointments, site visits, installs, demos. It crosses calendars, routes, and availability, then confirms on the channel the customer already uses.

Costing and operations

Estimates, work orders, inventory, shop-floor reports. Any operational process with a system behind it is a candidate. If there is an API or a file, there is a rail.

Consultant with documents and a tablet

We pick the model. We wire the process.

OpenAI, Claude, Gemini, Azure, Bedrock, Vertex. We pick for cost, latency, data residency, and Spanish quality. The value is wiring your operation.

OpenAIAnthropic ClaudeGoogle GeminiAzure OpenAIAWS BedrockGoogle Vertex AI

In the short term

The system that hurts

We pick one flow with real volume — usually sales or collections. We measure cycle time, leakage, and where a person must sign.

Live in weeks

One agent in the CRM, chat, or billing tool you already use. Logs, costs in view, rollback. Week by week until the team prefers it to the spreadsheet.

Then the rest of the operation

Same recipe: care, scheduling, costing, the floor. Training and cost per transaction. The code and the commercial rules belong to the company.

If you cannot audit it, you cannot collect with it

Useful AI leaves a trail: which price it quoted, against which list, who approved the discount.

We wire the model to the company’s systems — the ones you already have, or the ones we need to build — and we measure sales cycle, days sales outstanding, and cost per conversation.

We wrote about the 700 engineers sold as AI.

Handshake between colleagues

Frequently asked questions

Do I have to replace the CRM or invoicing tool?

No. We connect the model to the CRM, collections, chat, invoicing, or scheduling you already run, if there is an API, webhook, mailbox, or export.

What is RAG?

Retrieval-augmented generation: the assistant searches your price lists, policies, and contracts first, then answers with a citation. The walkthrough is higher on this page.

How soon is something running?

In the short term, on one real-volume flow — usually sales or collections — on software you already pay for. Weeks, not a year-long programme.

How do you quote this?

By the flow to connect, not by “adding a chatbot.” Quote or WhatsApp.

More questions in support

Get an integration quote

Any system can be connected. On a call we pick the first one.

Request a quote