Use-case discovery
We sit with your team and find the handful of tasks where AI saves real hours — and just as importantly, the ones where it won't. No solution looking for a problem.
SERVICE · AI ENABLEMENT
AI that does
AI that does
the work.
Not the talking.
Managed AI adoption & agents for UK SMBs
Most small businesses bought an AI licence and got a chat box nobody uses. Techzura runs Managed AI as one service: we help you adopt Copilot, ChatGPT or Claude where they genuinely save hours, then build the agents that take the repetitive jobs off your team — hosted, monitored and human-checked, like every other thing we manage.
Microsoft Copilot
ChatGPT
Claude
Custom agents
Human-in-the-loop
01 / WHAT'S INCLUDED
Adopt it.
Adopt it.
Automate it.
Keep it on a leash.
One service that takes AI from “we should probably look at that” to a working part of how your business runs.
Tool selection & licensing
Copilot, ChatGPT Enterprise or Claude for Work, picked per job, not per hype or commission. We sort licensing so you're not paying for seats nobody touches.
Rollout & training
The reason most AI fails is nobody changes how they work. We onboard people properly, build prompt patterns for their actual jobs, and measure whether it stuck.
Custom agents
The interesting part. We design and build agents for the repetitive work — inbox triage, drafting, quoting, invoice processing, internal Q&A — wired into the tools you already use.
Managed & monitored
An agent isn't “done” when it's built. We host it, log every action, watch its behaviour and own its uptime — so it's still working in six months, not quietly broken.
Guardrails & data boundaries
We scope exactly what each agent can see and do, keep your data out of public model training, and put a human check in front of anything that matters. Enablement, safely.
02 / WHAT AN AGENT ACTUALLY DOES
From inbox
From inbox
to handled,
while you sleep.
A real example: an agent that handles inbound supplier invoices. Boring, repetitive, error-prone — exactly the kind of job an agent should own.
- STEP 01 · TRIGGER
An invoice lands
A supplier emails a PDF invoice to your accounts inbox. The agent picks it up the moment it arrives — no one has to forward it, file it, or remember it.
- Watches one inbox
- No human prompt
- Runs 24/7
- STEP 02 · REASON
It reads & checks
It extracts the supplier, amount, date and line items, matches them against the purchase order and your finance system, and flags anything that doesn't add up.
- Extracts the data
- Matches the PO
- Spots mismatches
- STEP 03 · ACT (WITH LIMITS)
It does the boring bit
A clean, matched invoice is drafted into your accounting tool ready for approval. It only ever drafts — it never pays. The limits are yours to set.
- Drafts, never pays
- Every step logged
- Fully reversible
- STEP 04 · HUMAN CHECK
A person signs off
Anything unusual — a new supplier, a price that jumped, a missing PO — is queued for a person with the reason attached. The routine 80% just gets done.
- Exceptions queued
- Reason attached
- You stay in control
03 / WHY IT MATTERS
You don't need
You don't need
an AI team.
You need
the outcome.
A twenty-person company can't hire a machine-learning team, can't keep up with which model is best this month, and definitely can't keep an agent running safely in production. That's the same gap we already fill for your IT and security — so we fill it for AI too. You get the result, not a research project.
- ✓An outcome, not licencesWe measure hours given back to your team, not seats sold. If a use case doesn't earn its keep, we kill it.
- ✓We build it and run itNot a slide deck of recommendations. We own the agent end to end — design, deployment, monitoring, fixes.
- ✓Scoped tight, fully loggedEvery agent acts within limits you set. Every action is recorded and reversible. Nothing happens in the dark.
- ✓One bill, one SLAThe same accountable team that runs your Managed IT and Security. No new vendor to chase.
04 / FAQ
Questions
Questions
we hear a lot.
Isn't this just ChatGPT? Why do we need a partner?
A chat window is the easy 5%. The hard part is finding where AI actually saves your team hours, picking the right tool for each job, getting people to use it, and — for agents — wiring it safely into your systems and keeping it running. That's the work we do, and own, as a managed service.
What can an AI agent actually do for a business my size?
Concrete, repetitive jobs with clear rules: triaging and drafting replies to inbound email, turning quote requests into draft quotes, processing supplier invoices into your finance system, summarising meetings into your CRM, and answering first-line internal IT questions. We start with one task that wastes real hours, prove it, then expand.
Is our data safe, and is it used to train models?
We use business-grade services — Microsoft Copilot, ChatGPT Enterprise, Claude for Work — where your data isn't used to train public models, and we scope exactly what an agent can see and do. Every action is logged and reversible, and anything sensitive sits behind a human check.
Which tools do you use — Copilot, ChatGPT or Claude?
Whichever fits the job. Copilot when the work lives in Microsoft 365, ChatGPT or Claude when we're building a standalone agent or need their particular strengths. We pick per use case, not per vendor relationship, and we'll tell you honestly when the answer is “none of them yet”.
What happens if an agent gets it wrong?
Agents act inside limits you set. Low-risk, well-defined work runs automatically and is logged; anything outside those limits is queued for a person to approve. We monitor agents the way we monitor endpoints, so a misbehaving agent is caught and paused, not left running.
How do you charge for this?
It folds into your managed service — a per-seat element for AI adoption and support, and a per-agent element for the agents we build and run. One bill, one SLA, scoped after a short discovery. No open-ended consulting meter.
RELATED SERVICES
Often runs with.
01
Microsoft 365
Where Copilot lives. Get the tenant, identity and permissions right and AI has clean ground to stand on.
Read more 02Professional Services
Bigger builds and integrations. Fixed scope, fixed price, when an agent needs to reach deeper into your systems.
Read more 0324/7 SOC
The monitoring discipline behind it all. The same instinct that watches your endpoints watches what your agents can touch.
Read more
NEXT STEP
Find one job
Find one job
an agent could take.
30 minutes. We'll look at how your team actually spends its week and point at one repetitive task an agent could own this quarter — useful whether or not you build it with us.