AI That Works Inside Your Business

We build it. You keep it.

Others deliver ideas. We deliver working systems inside your business. Owned by your team. Live from day one. That is how capability gets built.

Build Something Real. Fast.

Most businesses are stuck thinking about AI. We pick a real workflow and ship a working system in weeks. Momentum beats theory.

Engineers. Not Evangelists.

No AI hype. No strategy decks. No tool agendas. We use what works in your environment, if it won't move the numbers, we won't build it.

Capability, Not Dependency.

We build inside your business, with your team. Clear scope. Working system. Proper handover. When we leave, you can run it.

Trusted by growing businesses

"We've been meaning to."

"We don't know where to start."

"We tried, but it didn't stick."

Most businesses are stuck at "we should do something with AI"

A few people have ChatGPT. Someone owns the initiative. Nothing meaningful has changed. The gap isn't awareness, it's knowing what to actually build.

Engineers who build things
Not consultants who advise on them

You work with the people doing the work.

No layers, no handoffs, no one selling you something they'll pass to a junior to build. Direct access to the engineers from day one.

Enterprise thinking. Without the overhead.

We've built at AWS and Microsoft scale. That experience travels with us without the price tag, the bureaucracy, or the process.

You own everything.

Code, documentation, integrations, all yours. When we leave, you can run it, extend it, or hand it to whoever you like.

We say no when it matters.

We'll tell you if it won't move the needle, before you spend anything. We'd rather lose the work than waste yours.

Three stages. No surprises

Most clients start with a Scoping. Two thirds move into a sprint within 30 days of the debrief.

1
AI Scoping
$2,000–3,500

We talk to people across the business, map how work really happens, and find where AI would actually move something. You walk away with concrete opportunities ranked by effort and impact. If you move into a sprint, you start with a defined build.

Workflow mapping Ranked opportunities Impact matrix One-hour debrief
2
Build Sprint
from $7,000

Take the strongest opportunities and ship them. Fixed scope. Fixed price. Two to six weeks. We handle everything from architecture to testing. You're involved at every stage, not handed a finished thing at the end. You finish with a working system inside your environment, documentation you can follow, and a handover that means someone on your team can actually own it.

Live system Clear documentation Full handover 30 days post-launch support
3
Ongoing Build
from $2,000/mo

Once the first system works, the next use case becomes obvious. We spend one to two days a month improving what's live and building what's next. As the AI landscape shifts, your systems move with it.

Monthly iteration sessions Emerging use cases Quarterly review No lock-in

What we've shipped

Shared inbox, sorted

12-person professional services firm

They were losing leads through a shared sales inbox with five people and no system. We built an AI triage layer that classifies, prioritises, and drafts replies.

Built with Gmail Outlook Slack Salesforce Python
Response time: 6 hours → 40 minutes

Meeting notes, automated

30-person property management company

The ops team was spending 3 hours a week manually writing up meeting notes and actions. We built a pipeline that transcribes, summarises, and pushes action items to their project tool. It runs without anyone touching it.

Built with Zoom Teams Slack Word
3 hours a week handed back to the team

Proposals in minutes, not hours

20-person strategy consultancy

They were spending 4–6 hours per proposal, pulling from past work manually. We built a tool that drafts a first-pass proposal from a short brief, grounded in their previous wins.

Built with Word PowerPoint SharePoint Salesforce
First draft: 4–6 hours → 8 minutes

Invoice processing, hands-free

15-person freight and logistics business

They were manually keying invoice data into their system. We built an extraction pipeline that reads any invoice format and pushes structured data directly to their accounting tool.

Built with Excel Google Sheets Outlook SharePoint
Processing time down 90%

From the people we've worked with

Common questions

No. Most clients come to us without a clear brief. That's what the AI Scoping is for. If you have a vague sense that AI should be doing more in your business but aren't sure where, the scoping will give you a concrete, prioritised answer.

That's the norm, not the exception. Everything we build is documented so a non-technical person can maintain it day to day. We run a proper handover session so your team understands what's running and what to do if something needs attention. You don't need developers on staff to own what we build.

Scoping takes one to two weeks. A sprint runs two to six weeks depending on scope. Most clients have something live and working within six to eight weeks of first contact.

Yes. We don't impose a preferred stack. We work with what you already use, whether that's Outlook, Xero, a CRM, or anything else central to your operation. If there's a limitation, we'll tell you in scoping before any money changes hands.

No. We don't build parallel systems or impose new infrastructure. We work within what you already have, your existing tools, your existing data, your existing processes. What we build extends your environment, it doesn't complicate it. When we leave, your team isn't inheriting something they don't understand.

Workflow automation is often part of the answer, but it's not the whole picture. Depending on what you need, we build document intelligence, AI agents that reason and act across systems, data pipelines, and integrations that connect things that were never designed to talk to each other. We start with the problem, not a preferred solution type.

We sign NDAs before any substantive conversation. Everything we build is deployed inside your own environment, your cloud account, your infrastructure. Your data never passes through our systems. For clients handling sensitive data we have GDPR-compliant data processing agreements as standard.

You receive a working system, documentation written for non-technical users, and a handover session. We provide 30 days of post-launch support included in every sprint. After that, clients typically move to an Ongoing Build retainer or return when the next use case becomes clear. No pressure, no lock-in.

A freelancer builds to your brief. We start by telling you what's worth building and what isn't, which often changes the brief significantly. You also get the combined experience of a team rather than one person's skills and availability.

Most consultancies deliver a strategy and leave. We deliver a working system and leave. The output isn't a deck or a roadmap. It's something running inside your business on day one of the handover.

Primarily professional services firms at the 10 to 50 person mark, accountancies, law firms, recruiters, consultancies, financial advisers. These businesses tend to have the highest concentration of repetitive knowledge work and the clearest metrics to measure improvement against. We occasionally work outside this if the fit is strong.

Most clients invest between £15,000 and £25,000 across their first year, scoping, an initial sprint, and ongoing build once the first system is live. That's the full picture, not a teaser price that grows once we're through the door.

We are always interested
in the right builder

Someone who's bored of being one layer removed from the work. Who'd rather own a problem than wait for a ticket. Who's comfortable in the gap between a client's vague brief and a working system in production.

You don't need to have worked in AI specifically. You need to have shipped things, broken things, and learned from both.

Email careers@teev.io
Team discussing work Team working at desks

Start with an AI Scoping

The audit is designed to be low-risk and high-value on its own. If it leads to a Sprint, great. If it helps you see clearly and make better decisions internally, that's a win too.