AI that does real work in your business.
Helmsman implements AI inside the systems your business already runs: assistants that answer questions from your own data, AI that reads invoices and orders so nobody types them, chatbots on your website and WhatsApp, agents that handle routine follow-ups, and forecasts of demand and stock. Each one starts where it saves the most time or money, and people approve what matters.
From $3,000Typically $3,000 to $80,000See pricing
Last updated
Who needs AI implementation?
You probably need it if…
- Everyone talks about AI, but nobody can say where it would save money in your business.
- Staff spend hours typing invoices, purchase orders and delivery notes from PDFs and emails.
- Managers wait days for a report to answer a simple question about the business.
- Customers ask the same questions on WhatsApp and email all day.
- Purchase quantities are set by memory and habit, so stock runs out of what sells.
- You tried a chatbot tool, and it answered from the internet instead of from your business.
What does AI implementation include?
- 01
An assistant on your own data
Ask in plain English
Staff ask questions such as "which customers have not paid in 60 days?" or "what did branch 2 sell last week?" and get the answer from your own system, with the numbers behind it.
- 02
Documents read for you
No more typing from PDFs
Invoices, purchase orders, delivery notes and forms read by AI and entered into your system, with a person checking anything unclear before it is saved.
- 03
Chatbots for customers
On your website and WhatsApp
Answers about products, prices, order status and bookings, drawn from your own catalogue and records, handing over to a person when it should.
- 04
AI agents for routine work
Follow-ups that do not slip
Agents that chase overdue payments, draft quotes and replies, and prepare routine documents, asking a person before anything is sent.
- 05
Demand and stock forecasting
What is likely to sell next
Forecasts from your own sales history, so reorders and production plans start from evidence instead of habit.
- 06
Decision automation
Routine calls, made by the system
Routing requests, flagging exceptions and approving within limits, with judgement calls left to people.
- 07
Matching, screening and recommendations
The right fit, found faster
Clients matched to the right professional, candidates screened against a role, and products suggested to each customer.
- 08
Your data kept private
Yours, and nobody else's
AI services chosen on business terms that do not use your data to train their models, or models run on your own server, with the same access rules as the rest of your system.
ChatGPT, Claude and Gemini on their own, or AI built into your business?
ChatGPT, Claude and Gemini are excellent everyday assistants for writing, research and ideas, and your team should keep using them. The difference comes when AI has to work with your business data and do the work itself, not just talk about it.
| What matters | ChatGPT, Claude or Gemini on their own | AI built into your business |
|---|---|---|
| Where the answers come from | Whatever someone pastes or uploads into the chat, one file at a time. | Your ERP, orders, stock and accounts, read directly and live. |
| Who can use it | People who know how to write a good prompt. | Everyone, from the screen they already work in. |
| Can you trust the answer? | It can sound right and still be wrong, as the tools warn on screen, and nobody checks it against your books. | Answers come from your own records, with the numbers behind them. |
| Doing the work | It drafts, and a person copies the result into your system. | It enters the invoice, updates the record or sends the reminder, with a person approving what matters. |
| Same result every time | Each person asks differently, so results vary. | The same steps every time, written into the system. |
| Your data | Staff may paste customer and company data into personal accounts, and you cannot see what left. | We set it up on business terms that keep your data out of training, with access rules for each person and a log of what the system does. |
| Measuring the saving | Hours saved are invisible and hard to count. | Measured against how the work was done before. |
A typical example: 40 supplier invoices a day
With a chat tool: someone uploads each PDF, asks for the details, checks them and types them into the system. At about two minutes an invoice, that is over an hour a day.
Built in: invoices arriving by email are read and entered on their own, and a person checks only the few the system flags. About ten minutes a day.
How does Helmsman deliver AI implementation?
The full approachAI starts with a short look at where your people spend time on repeated work: typing, searching, chasing and answering the same questions. Helmsman picks the one or two places where AI saves the most, checks that the data behind them is ready, and agrees the result in writing before anything is built.
Each AI feature is built into the screens people already use and measured against how the work was done before. People approve anything that leaves the business or moves money. When the first feature has proved itself, the next one follows.
- 01UnderstandProcess map
- 02AnalyseRequirement document
- 03ArchitectSolution structure
- 04DesignScreens and flows
- 05DevelopWorking software
- 06ImplementLive system
- 07EvolveOngoing support
Industries we build this for
AI questions, answered.
How can AI be implemented in a business?
Start with one job your people repeat every day, such as typing invoices, answering the same customer questions or chasing payments, and build AI into the system where that work happens. Measure the time saved, then move to the next job.
Is using ChatGPT or Claude enough for our business?
For writing, research and ideas, yes, and your team should keep using them. They cannot see your ERP or do the work inside it, so someone still pastes data in and copies results out. AI built into your system reads your own records, does the step itself and asks a person to approve what matters.
Where does AI save the most in a small or mid-size business?
Usually in reading documents so nobody types them, answering routine customer questions, chasing payments and follow-ups, and forecasting what to reorder. These are repeated every day, so the saving adds up quickly.
Can AI answer questions from our own data?
Yes. An AI assistant connected to your ERP or database answers questions about sales, stock and payments from your own records, and only shows each person what they are allowed to see.
Is our data safe if we use AI?
Yes, when it is set up properly. We use AI services whose business terms do not use your data to train their models, or run models on your own server, and the AI follows the same access rules as the rest of your system.
Which AI models do you use?
The one that fits the job and the budget: models from providers such as OpenAI, Anthropic and Google, or open models run on your own server when data must not leave it.
Can AI be added to the software we already use?
Often, yes. If your system can share its data, AI can be built alongside it and its results fed back in. Where the data cannot be reached, integration comes first.
Will AI make decisions without our approval?
Only the ones you choose. Routine, rule-bound steps can run on their own; anything that leaves the business or moves money waits for a person.
Do we need a lot of data to use AI?
Not for most uses. Reading documents and answering questions can start with the records you already have. Forecasting needs a reasonable history of clean sales and stock records.
How much does it cost to implement AI?
A single AI feature starts at $3,000, like any other module, and every price is fixed in writing before work starts. Running costs for the AI service itself are named before you sign.