Job
Password, access and MFA self-serve
The top-volume, lowest-judgement tickets — resolved inside identity tools the agent is actually allowed to touch, with a full audit trail of who did what.
Eastbourne · UK
/ AI Solutions / Service desk & back-officeNarrow agents that handle the first line cleanly.
Well-scoped agents that take the top-volume, lowest-judgement work off the service desk, HR inbox and finance queue — and hand off to a human the moment they hit their limit, with the full context attached.
01/ What this actually is
Not an autonomous workforce. A narrow one.
The agents that work in production aren't the demo ones trying to do a whole job end-to-end. They're the narrow ones that handle a specific slice of inbound work — a category of ticket, a class of question, a scheduled back-office task — and escalate cleanly the moment they're unsure.
02/ Jobs they do
Six shapes of first-line agent work.
Narrow, well-scoped jobs an agent can take off a human's plate — reliably enough that the human stops checking every resolution.
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Starter, mover, leaver prep
Agents that prep the tickets, gather the context, check the approvals and raise the sub-tasks — leaving a human to do the bits that need a human.
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First-line HR and finance queries
'What's my holiday balance', 'where's my invoice', 'what's the expense policy' — answered from the canonical source, with a clean escalation path when the answer needs an actual person.
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Status, lookup and 'where is it'
Cross-system lookups — ticket status, order status, case progress — pulled back as one answer instead of the user chasing three teams.
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Scheduled checks and chase-ups
Agents that run a scheduled review, chase missing info, nudge a stalled approval, flag anything that looks wrong — the quiet back-office work that never gets prioritised.
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Clean hand-off when they hit their limit
When the agent can't resolve it, the human inherits the full thread, the intent, what's already been tried and the systems state — not a fresh conversation.
03/ How we'd approach it
Scope the lane, scope the tools, design the hand-off.
Agents that fail in production fail because their scope is too wide or the hand-off was an afterthought. We design both on day one.
Pick one narrow lane
'First-line access tickets' or 'starter prep' — not 'a service desk agent'. Narrow agents ship and earn trust. Broad ones drift.
Define the tools it's allowed to use
The agent gets an explicit list of actions — read these systems, write to these tickets, invoke these scripts — nothing more. Scope lives in code, not in the prompt.
Log every action
Every tool call, every ticket touched, every record read — logged against an identity. Operations can see exactly what the agent did, and why.
Design the hand-off deliberately
The point at which the agent gives up is not an edge case — it's the main feature. The human inherits full context in one screen, not a summary that lost the important detail.
For the governance side — tool scoping, approval gates, action logging and the identity perimeter agents operate within — see the AI security perimeter.
04/ Agent vs automation
Honest about which is actually the right answer.
Plenty of 'agent' work is really a deterministic automation with a chat UI bolted on.
A lot of tasks people call 'agent work' are really just a workflow with a conversational front door. If the steps are known and the variation is low, a deterministic automation is cheaper, faster and more reliable. We reach for an agent when the judgement matters — not because the word is in the RFP.
05/ Where it lands
Inside the queues and systems your desk already runs.
An agent that lives in its own app becomes shelfware. The ones that stick sit inside the service desk and back-office tools the team already works in.
/ Into your systems
The agent operates inside the PSA, ITSM, HRIS and finance systems you already run on — reading, writing and logging against the right records. That plumbing is the systems integration work we do as day-job.
/ Into your workflows
Hand-offs, approvals, escalations and SLAs route through the same plumbing our workflow automation work uses — so agents and the rest of the operation share one control plane.
/ Backed by
Delivered by M-Tech Labs with the compliance and security discipline of M-Tech Systems — Cyber Essentials certified, aligned to NCSC CAF 4.0 and progressing through the Assurix trustmark programme. Code is continuously scanned for quality and security with Aikido, and hosted software runs on our own Nutanix / Fortinet platform — continuously pen-tested, current-version, UK-based. See secure development for the full picture.
Back to AI Solutions/ Start a conversation
Start with one lane. One queue. One well-understood handover.
A short discovery call on which slice of first-line work is the right candidate — and where the clean hand-off to a human should live.