AI that takes repetitive work off your team
Chatbots, agents and automations that answer customers, read documents and move data between your tools, grounded in your own information and with a person approving anything important.
- Fixed quoteScope and price agreed first
- Working prototype fastTest it on real tasks early
- Your data stays privateClear rules on where it goes
- People stay in controlApproval on key actions
What we build
We start with the work your team repeats every day, then build the smallest AI that saves real hours.
Chatbots and assistants
Website and WhatsApp assistants that answer from your own documents and hand over to a person when needed.
AI agents
Agents that finish multi-step tasks such as triaging requests, updating records and drafting replies.
Document processing
Invoices, forms, KYC documents and contracts read automatically, with key details pulled into your systems.
Workflow automation
Repetitive steps between email, sheets, CRM and accounting tools automated end to end.
AI inside your product
Smart search, summaries, writing help and recommendations added to an existing website or app.
Forecasts and insights
Machine learning on your sales or operations data to predict demand, spot churn and flag anomalies.
Built into every AI project
No add-ons for the basics. Each item is checked off before your site goes live.
Use-case workshop
We map the tasks worth automating and the hours each one could save.
Built on your data
Your documents, FAQs and records prepared so the AI answers from them.
Human approval steps
Clear points where a person reviews before anything important happens.
Accuracy testing
Real examples from your business used to measure and improve answers.
Connected to your tools
WhatsApp, email, CRM, sheets or accounting linked so work flows end to end.
Activity logs
Every answer and action recorded, so you can see what the AI did and why.
Cost monitoring
Usage and spend tracked with alerts and limits you control.
Docs and training
Your team trained on using and improving the system, with full documentation.
AI you can safely trust with real work
The most common worries about AI are wrong answers, leaked data and surprise bills. Each one is designed out from the start.
A person approves key actions
Payments, refunds, customer messages and record changes wait for approval until you choose otherwise.
Answers come from your data
Assistants answer from your documents and show their sources, and say so when they don't know.
Your data stays private
We agree upfront where data is stored and processed, and use providers and settings that don't train on it.
Running costs you can predict
Usage limits, cost tracking and the right-sized model for each task, so the monthly bill holds no surprises.
From repetitive task to working AI
A small working prototype first, so you see real results before committing to the full build.
Typical for one focused use case such as a support assistant or document workflow. Larger agents and ML projects take longer.
- 1Week 1
Find the right task
A workshop with your team to pick the task where AI saves the most time with the least risk.
You get: Use case, scope and fixed quote
- 2Weeks 1–2
Data review
We check the documents and data the AI needs, and agree where it can be stored and processed.
You get: Data and privacy plan
- 3Weeks 2–4
Working prototype
A small working version tested on your real examples, so you see results before the full build.
You get: Prototype and accuracy results
- 4Weeks 4–8
Build and connect
The full system built with approval steps, logs and connections to your existing tools.
You get: Integrated AI system
- 5Weeks 8–9
Test with your team
Your team uses it on live work while we measure accuracy and fix what needs fixing.
You get: Tested, tuned system
- 6Week 10
Launch and monitor
Go-live with monitoring and cost tracking, plus training and a handover for your team.
You get: Live AI you own
What decides the cost
Every business needs something different, so we price the work you actually need. These are the things that move the number.
Get your fixed quote
A free 30-minute call, then a written scope and fixed price. No obligation to go ahead.
Request a quoteNumber of tasks
One assistant or workflow costs less than several connected agents.
Data preparation
Clean, organised documents are quicker to use than scattered or scanned files.
Integrations
Each tool the AI reads from or writes to adds build and testing time.
Accuracy needs
Tasks where mistakes are costly need more testing, guardrails and review steps.
Model running costs
AI providers charge per use, so volume and model choice shape the monthly bill.
Hosting and privacy rules
Private cloud or region-specific hosting can add setup and running cost.
Built with proven tools
Model-agnostic: we pick the model and tools that fit your task, budget and data rules.
Claude
Gemini
LangChain
n8n
Python
PyTorch
TensorFlow
Supabase
Often needed alongside
AI solutions questions
Straight answers about accuracy, privacy and cost before you start an AI project.
Still have a question?
Ask us directly. A real person replies within 24 hours.
What can AI realistically do for my business?
It works best on repetitive tasks: answering common questions, reading documents, sorting requests, drafting replies and moving data between tools. We start with one task where it can save real hours, then expand.
What if the AI gives a wrong answer?
We ground answers in your own data, show sources, test on real examples before launch and add human approval wherever a mistake would be costly. When the AI isn't sure, it hands over to a person.
Is our data safe, and will it be used to train AI models?
We agree upfront where your data is stored and processed, and use AI providers and settings that don't use your data to train their models. For sensitive data we can use private or region-specific hosting.
How much does an AI project cost?
There are two parts: a one-time build cost and a monthly running cost for the AI provider. After a free workshop we send a fixed build quote and an estimate of running costs based on your expected usage.
Which AI models do you use?
We are model-agnostic and choose from Claude, Gemini, OpenAI models and open-source options based on accuracy, cost and your data rules. You aren't locked to one provider.
Will AI replace my team?
The aim is to take repetitive work off your team so they can spend time on customers and decisions. People stay in charge of anything important, and the AI hands over when it should.
Tell us about your project
Share a few details and we'll come back with honest advice, even if we're not the right fit.
What happens next
Step 1: We reply within 24 hours
A real person reads every message and writes back.
Step 2: 30-minute discovery call
We talk through your goals, users, timeline and budget.
Step 3: Written scope and fixed quote
You get a clear plan and price before any work starts.