For teams putting AI to work
Everyone’s talking about AI. We’ll help you ship it.
There’s a gap between an impressive AI demo and AI that reliably does real work in your business. We close it - building practical AI features into your software and automating the operational grind that’s eating your team’s time. No hype, no science projects. Just AI that earns its keep.
The gap nobody talks about
A demo is easy. Reliable AI is the hard part.
Anyone can paste a prompt into ChatGPT and get something impressive. Turning that into a feature your customers depend on - or a workflow your team trusts - is a different job entirely. It needs the right data, guardrails, evaluation, and plumbing into the systems you already run.
That’s the part most businesses get stuck on. We’ve been building production software for two decades, and we treat AI like any other component that has to work: measured, monitored, and engineered to fail gracefully.
Sound familiar?
- You know AI could help, but you don't know where it actually fits.
- Your team is drowning in repetitive work that feels automatable.
- You tried an off-the-shelf AI tool and it didn't understand your business.
- You want AI in your product but don't know how to ship it safely.
- You're worried about cost, accuracy, and what happens when it gets things wrong.
- You don't want to hand sensitive data to a tool you can't control.
- You've seen flashy demos but nothing that survives real-world use.
Two ways we help
AI in your software, and AI in your business.
Some AI lives inside the product you sell. Some lives behind the scenes, doing the work your team shouldn’t have to. We do both - and often the same engagement touches each.
AI in your software
Customer-facing AI features built into your product - the kind that make it smarter, faster, and stickier.
- Assistants and chatbots that actually know your product and data
- Search and Q&A over your own documents and knowledge base (RAG)
- Summarisation, drafting, and content generation features
- Classification, extraction, and tagging at scale
- Natural-language interfaces to your existing data
AI in your business
Behind-the-scenes automation that gives your team their time back and removes the manual, error-prone steps.
- Automating repetitive admin, data entry, and triage
- Reading invoices, emails, and documents into your systems
- Drafting replies, reports, and proposals for staff to review
- Agents that take multi-step actions across your tools
- Internal copilots trained on your own processes and data
What we build
Practical AI, engineered to work in production.
We use the best model for the job - Claude, OpenAI, or open-source models you can self-host - and wire it into your data and systems properly.
Assistants & chatbots
Support and product assistants grounded in your real data, with the guardrails to keep them on-topic, accurate, and on-brand.
Knowledge & document search (RAG)
Let staff and customers ask questions in plain English and get answers cited from your own documents, policies, and knowledge base.
Workflow & process automation
Automate the repetitive multi-step work - triage, routing, data entry, follow-ups - with a human in the loop wherever it matters.
Document & data extraction
Turn invoices, contracts, emails, and PDFs into structured data that flows straight into your systems, accurately and at scale.
AI agents & tooling
Agents that take real actions across your tools - looking things up, updating records, and completing tasks under clear constraints.
Strategy & feasibility
Not sure where to start? We help you find the use cases worth pursuing, size the value, and avoid the expensive dead ends.
Who this is for
SaaS founders
You want to add AI features to your product without betting the roadmap on a prototype that won't hold up under real usage.
Operations leaders
Your team is buried in manual work. You want to automate the grind so people can focus on what actually needs a human.
Established businesses
You've heard you "should be using AI" but want a clear-eyed view of where it pays off in your specific business.
Professional services
Law, accounting, agencies, and consultancies sitting on documents and expertise that AI can help surface and scale.
E-commerce & retail
Support automation, product enrichment, and the data work that keeps a growing catalogue and customer base manageable.
Internal teams
You want an internal copilot that knows your processes, or to automate a workflow that's been a bottleneck for years.
How it works
A low-risk way to find the AI that’s worth building, then ship it properly. We start small and prove value before scaling.
Free discovery call
You tell us where the pain is. We tell you honestly where AI helps, where it doesn't, and what the highest-value first step looks like.
Use-case & feasibility
We map the opportunities, validate them against your data, and rank them by value versus effort - so you invest in what actually pays off.
Build a working pilot
We ship a focused pilot you can put in front of real users or staff, with evaluation built in so you can measure accuracy and cost from day one.
Harden & scale
Once it earns its keep, we productionise it - monitoring, guardrails, and integration into your systems - and roll it out for real.
Why Brainbook
Engineers who ship, not AI tourists.
The hard part of AI isn’t the model - it’s everything around it. The data pipeline, the evaluation, the cost control, the security, and the integration into software that has to keep working. That’s production engineering, and it’s what we’ve done for twenty years.
We’ll tell you when AI is the wrong tool just as readily as when it’s the right one. The goal is value in your business, not a demo to put on a slide.
We measure before we scale
Every AI feature ships with evaluation so you know how accurate it is and what it costs - before it touches a real customer.
Your data stays yours
We design for privacy and control, including self-hosted and open models when sensitive data can't leave your walls.
Production engineering, not prompts
Guardrails, monitoring, fallbacks, and clean integration into your existing stack. The unglamorous work that makes AI dependable.
Pragmatic and honest
We pick the simplest thing that works, and we'll talk you out of AI when a plain old script does the job better and cheaper.
Frequently asked questions
We don't know where AI fits in our business. Can you help with that?
Yes - that's often the best place to start. The discovery call and feasibility step are designed to find the use cases worth pursuing and rule out the ones that aren't, before you spend on building anything.
Which AI models do you use?
Whichever fits the job. We work with Claude, OpenAI's models, and open-source models you can self-host. We choose based on accuracy, cost, privacy, and the constraints of your use case - not loyalty to one vendor.
Is our data safe? We handle sensitive information.
Yes. We design for privacy and control from the start, including self-hosted or open models so sensitive data never leaves your environment when that's a requirement.
How accurate is it? What happens when AI gets it wrong?
We build evaluation in so accuracy is measured, not guessed, and design human-in-the-loop steps and fallbacks for anything that matters. AI assists and drafts; people stay in control of the decisions that count.
How much does it cost?
A focused pilot typically runs $5,000-$20,000 depending on scope, with ongoing model usage costs that we help you estimate and control up front. The discovery call gives you a real number before you commit.
How long until we see something working?
Most pilots are in your hands within 2-4 weeks. We deliberately start small so you can see real results - and real numbers - before committing to a larger rollout.
Can you add AI to our existing software?
Yes. Most of our work is integrating AI into systems that already exist, whether that's your SaaS product, internal tools, or the stack your business runs on day to day.
What if AI turns out to be the wrong tool?
We'll tell you. Sometimes a simple rule or script beats a model on cost and reliability. We'd rather save you the spend than sell you AI you don't need.
Tell us where AI could help
A 30-minute call to talk through your business and where AI fits - or doesn't. No commitment, no hype, just an honest read on what's worth building and what it'll take.