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Multi-agent AI for operational work

AI agents for work that
needs to be correct.

MagBot.ai builds and operates AI agents for the operational work businesses can’t afford to get wrong. Every action reviewable, every decision traceable, done inside your own environment.

Carrying live customer traffic today. New agents built alongside design partners.

Built for audit and review
Full record of every action
Human review before consequence
Deploy in your cloud, VPS or on-prem
Your data never leaves your environment
The problem

Most AI fails the moment the stakes are raised.

Demos are simple. That’s where projects stall, putting an agent to work that has a customer, regulator or contract behind it. Three things break each time.

01

You can't re-create what actually happened

A chat window is not a history. If someone comes back six months later and says, ‘Why did you make this decision?’ then ‘the model said so’ is not a good answer.

02

The data can't go

Customer files, patient files, batch files, contracts. For most teams, submitting it to a third-party API means the evaluation is done before it begins.

03

The result belongs to no one

Generic tooling gives you a framework and says, “Good luck.” And when the agent gets it wrong in production it’s your problem and yours alone.

How it works

Agents suggest. Your people choose.

All MagBot agents are built the same way, no matter what industry they are in. Things work themselves out. The judgement stays where it belongs.

  1. Link

    The agent reads from the sources your team already uses — documents, inboxes, tickets and the systems you run on. No migration, no new place to work.

  2. Work

    It does the repetitive part: reading, extracting, checking, matching, drafting. The time-lagging, non-expert-leveraging parts of your team's day.

  3. Check

    Results are presented as a ranked queue with reasoning and sources attached. Your people approve, edit or reject. Low confidence cases escalate themselves.

    Human checkpoint
  4. Record it

    Approved work is written back to your systems with a complete record of what happened, what was used and who signed off.

    Fully traceable
Agent Catalogue

We build, run and stand behind agents.

No, not a marketplace. All of our agents are built in-house by our own team, on our own platform, with our name on the result. We publish build status openly — you should know exactly what carries traffic today, what we’re building now, what we’d only start with a design partner beside us.

Retail / eCommerceLive traffic

Customer Support Agent

Our conversational assistant is handling live customer traffic on shopfronts today. We’re now rebuilding the deployment as a full agent — the first release on the platform described here.

Pharma / SafetyDesign partner build

Case Intake & Triage

Creates a structured, deduped draft with a proposed assessment from inbound case material, routed to a reviewer queue. Never submits by itself.

Pharma / SafetyDesign partner build

Review of Literature

Screens scheduled searches against your inclusion criteria, flags what is important and records the reasoning behind every include and exclude decision.

Retail / OperationsIn development

Order and Returns Agent

Manages order status, changes and returns right through. Checks policy and stock before committing, and escalates anything outside the rules.

Healthcare / AdminOn request

Documentation Aide

Reviews drafts and verifies clinical and administrative documentation against your templates, leaving the clinical judgement to the clinician.

Manufacturing / QAOn request

Record Review Agent

Reviews production and quality records for exceptions and missing entries. Brings any deviations to the attention of a qualified reviewer, rather than closing them.

Industries

Designed for work with consequences.

Same everywhere, high volume procedural work, done by people whose skills are wasted on it, where a mistake is more expensive than the task. We never build speculatively, we design-build with a partner in each sector.

Design partner build

Where the audit trail is as important as the answer.

Safety and compliance operations run on high volume, fixed deadlines and work that is mostly manual transcription — done by people qualified to do something far more valuable. This is the next investment and we are building it with the teams that do the work.

  • 01

    Intake & structuring cases

    Inbound material has been turned into a structured draft, with each field traceable to its source

  • 02

    Duplicates detection

    Candidate matches with existing cases, with evidence explaining the match

  • 03

    Review of the literature

    Scheduled searches against your inclusion criteria with reasons recorded

  • 04

    Narrative and document drafting

    Structured data, consistent drafts, fully traceable, your house style

Data deployment & control

Runs where your data lives.

Most AI vendors want you to send your data to their cloud. We do not. MagBot deploys into infrastructure you already own and have already evaluated — typically the difference between a pilot that launches and one that dies in vendor review.

  • Your cloud account — deployed in your AWS, Azure or GCP tenancy
  • Your VPS or on-prem — for teams that need data residency or data isolation
  • Model agnostic — commercial or self-hosted models, replaceable without having to rebuild your agents
  • Versioned and documented — defined releases and change control for your team to review against
  • No training on your data — your content is never used to train public models
Human supervision

Autonomy is a setting, not the default.

Agents recommend. It’s your people’s call. That is not a configuration choice, it is baked into how the platform works where an action has real consequence.

  • Confidence thresholds you set, step by step
  • Automatic escalation of low confidence and edge cases
  • Every output has its sources and its reasoning
  • Captured the reviewer’s corrections and make the agent better
  • No irreversible action without authorisation Ever.
Who makes this?

Developed by SteppingEdge.

SteppingEdge, the product engineering team behind MagBot.ai, builds and operates production systems for enterprise customers — not a lab, not a prototype shop.

It is more important than it sounds. Most agentic AI never survives contact with the real environment, the integrations, the permissions, the review workflow, the change control. We build the boring stuff. Because the boring stuff is the product in work that matters.

Engineering led

A senior team builds agents directly, not remotely coordinating delivery.

Experience in production

Systems that operate every day under real load, with real users and real consequences.

Fluency on deployment

Comfortable inside your environment. Your cloud. Your VPS. Your controls.

Straight & short

You talk to the people working on it. No intermediate account layer.

Tell us how your team does this today.

Thirty minutes with the people building it. Not a demo — we want to understand the workflow, where the hours go, and whether an agent belongs anywhere near it. If it doesn't, we'll say so.

  • No pitch deck, no sales engineer
  • We'll tell you if this isn't a fit for you
  • Currently selecting a small number of design partners

Book a discovery call

We'll reply within one business day with a couple of times.

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