AI · BOT STUDIO
Operators have repetitive workflows that don't fit a pre-built automation. Watch for freight cost spikes on VIP routes. Auto-draft customer letters when production runs late. Flag suppliers when a cert expires within 30 days. Bot Studio takes a plain-English description and produces a deployable agent — with full access to the operational graph, configurable guardrails, and approval workflows. Built in minutes, not months.
FROM DESCRIPTION TO DEPLOYED AGENT
Operations needs an agent that watches freight cost on VIP routes and drafts customer notifications when it spikes. They type a sentence. Bot Studio parses it against the live operational graph, exposes every step as an editable component, and deploys behind your guardrails with a full audit chain. Not a flowchart. Not a model project. Plain English.
From description to deployed agent in under five minutes. Trade-specific patterns; no integration glue required.
THE PROBLEM BOT STUDIO SOLVES
Sarah on ops knows: when our VIP customer's shipment slips by more than 2 days, escalate to the GM. Then Sarah leaves. The escalation stops happening. The customer churns six months later, citing "communication".
Zapier can hook Slack to Gmail. It doesn't know what "lot pass rate trending down" means, or how to compute landed cost, or where the operational graph lives. You write 80 lines of glue per agent — then maintain them when the API changes.
You want an agent that monitors supplier compliance and drafts regulatory letters. Hire a developer. Integrate APIs. Build the model. Ship guardrails. Add audit. Three months and $80K later you've shipped something Bot Studio could have deployed in four minutes.
HOW IT WORKS
Bot Studio compiles your plain-English description into one of five primitives, or chains them into a multi-step workflow. Every primitive runs against the operational graph; every step inherits the guardrails and audit chain.
"When X happens, alert me." Agent runs against the operational graph; fires on the configured signal. Subscribe operators or external counterparties to the alert; route to Slack, WhatsApp, email, or the TradeOS panel.
"Compute X, decide based on threshold." Agent does the math — margin, ETA, landed cost, supplier performance score — and flags outliers. The computation reads the graph, not stale exports.
"Generate a letter for review." Agent uses Atlas drafting to produce the document, notification, or message — in the recipient's language, with trade terminology preserved — then routes it for operator approval.
"When X happens, do Y." Agent performs an operational action — create a task, update an order status, send a notification, post to a channel — within per-agent guardrails on cadence, time, value, and recipient.
Chain the four primitives into a full sequential process. Supplier QC failure → quarantine lot → draft customer notification → escalate to QA manager → reorder request to alternate supplier. One agent. One audit chain. Loop detection prevents runaway cycles.
WHY THIS IS DIFFERENT
Generic automation tools connect APIs. Custom AI development ships agents the way you ship features — slowly. Bot Studio is built on the shared operational graph and a library of trade-aware patterns. The fastest path from idea to deployed agent.
Best for: cross-app glue. Not built for trade ops.
Best for: one bespoke flagship system. Not 20 agents.
Best for: the long tail of trade-specific agents you'd never staff dev time for.
FIVE AGENTS · DEPLOYED IN PRODUCTION
Trade-aware agents customers have deployed against their own operational graph. Click any to install the template into your workspace — customize thresholds, guardrails, and channels in plain English from there.
Flag orders whose margin trends below 18%during production. Draft a customer pricing-review letter for ops approval.
Watch cert expiry across all suppliers. Alert procurement at T-30, T-14, T-7. Block new POs at T-0 with an expired cert.
Monitor letter-of-credit document collection. Auto-remind supplier + forwarder for missing docs at T-14, T-7, T-3days from LC expiry.
Detect declining order frequency, payment delays, and communication-tone shift. Surface to the sales lead with proposed retention actions.
When a datalogger reads outside spec, fire an immediate QA notification with affected lot list. Initiate quarantine + draft a customer notification.
BUILD FROM A TEMPLATE
Bot Studio agents can be built from scratch — or from any of the 20+ templates in the Automation library. Pick a template, customize thresholds and guardrails in plain English, deploy. The library covers the high-frequency operator workflows; Bot Studio is for the long tail.
21
Trade-specific · updated quarterly from customer deployments.
Open the Automation library →TRUST ARCHITECTURE
Bot Studio is designed for production from the first agent. Three layers of safety wrap every deployment — guardrails on what the agent can do, approval workflows on when it acts, and a full audit chain on everything that happened.
Bound each agent's action surface — what it can write to, how often, when, to whom, and under what conditions. Configurable in plain English, enforced before any side effect.
Choose how human the loop is, per agent. Most ship in draft mode by default; auto-send is opt-in within configured guardrails; sensitive actions can escalate to a manager.
Every agent action logged with input, output, recipient, time, and source data. Versioned descriptions and rollbacks for the agent itself. Exportable for SOC 2 / ISO 27001 / GDPR audits.
VS. ALTERNATIVES
Each row is something a trade operator actually needs the agent builder to handle. The honest answer for each tool — including ours.
| Capability | Bot Studio | Zapier | n8n | Make.com | Custom AI dev |
|---|---|---|---|---|---|
| Trade-specific templates (20+ from automation library) | ✓ | — | — | — | — |
| Live operational graph as context (not API webhooks) | ✓ | — | — | — | if you build it |
| Plain-English builder (not visual flowcharts) | ✓ | — | — | — | if you build it |
| Approval workflows + guardrails per agent | ✓ | filter steps only | filter steps only | filter steps only | if you build it |
| Multi-provider AI (Claude + OpenAI + Gemini + local Gemma) | ✓ | third-party only | third-party only | third-party only | if you build it |
| Audit chain on every action (SOC 2 / ISO 27001 export) | ✓ | run history | run history | run history | if you build it |
| Integrates with EDMA channels (Atlas drafting pipeline) | ✓ | — | — | — | — |
| No external API setup required (graph is native) | ✓ | — | — | — | — |
| Average build time per agent | 4 min | hours | hours–days | hours | ~1 quarter |
FAQ
If you have a sixth, we'd rather answer it in a call than write it here.
Yes. Open the agent, modify the plain-English description, redeploy. Version history is maintained on every change; you can roll back to any prior version in one click. The audit chain captures the version of the agent that was running at the time of every action.
Book a 30-minute demo against your own operational graph. Bring the workflow you'd build first — we'll deploy it during the call.