AI-native transformation · Consulting · Training · FDE
We find the workflow to change first, train your team to do daily work with AI, and assign engineers who connect agents to your systems. Delivery is remote-first.
Example workflow · Sales quotes
Before
Search chat history → check the price list → write the quote by hand → wait for manager sign-off
After
Agent reads the company knowledge base → drafts the quote → sales rep confirms
What we do
We interview each department, rank the workflows to change, and agree on how results will be measured.
Related notesSessions by role, practiced on real tasks. Each team keeps the reusable AI Skills it builds.
Related notesRemote-first engineers join your team and connect agents to your CRM, ERP, and HR systems.
Related notesNotes
An Agent console is a scheduling and observation layer above coding Agents, with no model of its own. Before adopting one, a company checks four things - which Agents it supports, where session and audit records live, how the server is deployed and which remote channels are open, and whether to use stable or nightly. This note walks through each check using T3 Code.
When a company upgrades an agent's model or investigates a change in production behavior, it first checks the model, prompt, and tool definition versions recorded in the run logs. It then runs regression tests on a locked test set and compares tool call structure. The business process owner and the quality or risk team sign off together on a staged rollout.
For agent egress control, the sandbox denies all outbound traffic by default, and a domain allowlist and permitted request methods are configured per task. Separating the dependency install phase from task execution, limiting write methods on broad domains, and blocking private network ranges separately keep agents running while preventing data leaks.
When a company running automated systems finds an agent acting beyond its authorized scope, it needs tiered responses based on impact. A minor read-only overreach can be handled by revoking a single tool permission and running in a downgraded state. High-risk writes or external actions call for an immediate stop and frozen credentials, and the security lead decides on recovery after finding the root cause.
When choosing a model vendor, first ask who the vendor builds products for and whether enterprise business is its core business, then assess vendor stability. If a vendor sells to enterprises only as a backstop for its own compute, it may switch back to consumer business at any time or follow its leader's personal will, and a company should not tie its core operations to it.
Exporters that use AI to pre-screen sample requests grade each one by company verification, how specific the inquiry is, past dealings, and target-market fit. AI suggests a free sample, a sample fee or freight collect, or a decline. The sales rep confirms the final plan, samples above a set value need manager approval, and follow-up results are logged.
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Free of charge. You can also email us at contacts@fxai.ai.
