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Others deliver ideas. We deliver working systems inside your business. Owned by your team. Live from day one. That is how capability gets built.
Most businesses are stuck thinking about AI. We pick a real workflow and ship a working system in weeks. Momentum beats theory.
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.
We build inside your business, with your team. Clear scope. Working system. Proper handover. When we leave, you can run it.
"We've been meaning to."
"We don't know where to start."
"We tried, but it didn't stick."
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.
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.
We've built at AWS and Microsoft scale. That experience travels with us without the price tag, the bureaucracy, or the process.
Code, documentation, integrations, all yours. When we leave, you can run it, extend it, or hand it to whoever you like.
We'll tell you if it won't move the needle, before you spend anything. We'd rather lose the work than waste yours.
Most clients start with a Scoping. Two thirds move into a sprint within 30 days of the debrief.
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.
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.
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.
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.
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.
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.
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.
We'd been talking about AI for two years. Teev spent half a day with us, came back with three concrete ideas, and we had the first one live in three weeks. It saves the team about eight hours a week on proposal drafting alone.
I was sceptical — we'd had two consultants before Teev, and both delivered a deck and disappeared. These people actually built something. Our compliance reporting process went from two days to two hours.
The audit alone was worth it — they identified something we'd completely missed. What I valued most was that they told us what wasn't worth building as clearly as what was. That kind of honesty is rare.
The time we used to lose reconciling data across three systems every week simply doesn't exist anymore. That's real hours back for the operations team. I honestly can't imagine going back to the old way.
What surprised me was how quickly they got up to speed on how we actually work — not just the processes we described, but the workarounds and edge cases. The tool they built handles all of it.
Six months in and it's still running exactly as designed. No drift, no issues. The documentation they left was thorough enough that our team genuinely owns it now — which is exactly what we needed.
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.
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
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.