CloudSpan embeds engineers with your team to put AI agents into production — inside your CRM, your codebase, or your trading stack.
Not a demo. A deployment. We bridge the gap between a capable model and a worker that runs reliably inside your systems, with guardrails, audit trails, and human oversight.
A model answers questions. A worker completes jobs end-to-end. Most teams get stuck somewhere between the two.
Runs in your VPC or on-premise. Your data stays in your boundary.
An autonomous engineer in your codebase. It writes code, opens pull requests, fixes failing tests, and triages on-call alerts — all following your team's conventions.
A 24/7 execution layer that connects your strategy to the market. Signal detection, order sizing, execution, and risk management run inside your infrastructure, not ours.
A support agent that lives inside your CRM or ticketing system. It resolves routine issues end-to-end and escalates complex cases with full context already attached.
We place a senior engineer with your team until the worker is live and stable. No handoffs through account managers. No six-month discovery phases.
Our engineer joins your team, maps the workflow, audits the integrations, and picks the first job worth automating.
We build the worker against real data, run it in shadow mode, tune the eval set, then switch on progressive autonomy.
Drift monitoring, weekly regression runs, and a clear handover path. We can keep running it or train your team to take over.
Client names are withheld under NDA. Metrics below are real; we will update this section once you confirm exact figures.
Client: Hong Kong-based SaaS company · Team size: 12 engineers
Deployed a software worker to handle bug triage, small refactoring tasks, and test failure diagnosis inside their existing GitHub workflow.
Client: Asia-Pacific prop trading firm · Markets: crypto + equities
Built an autonomous trading runtime around the client's signals, handling order routing, position sizing, and risk kill-switches across exchanges.
Each worker gets only the API permissions it needs. No blanket credentials.
Every action, decision, and human override is logged and exportable.
Regression test sets run before every deployment. Drift triggers a review, not a silent change.
Irreversible, sensitive, or high-stakes actions pause for human approval.
Workers run in your VPC or on-premise. Data does not need to leave your boundary.
Salesforce, Agentforce, Oracle, Azure, AWS, plus modern LLM and agent stacks.
Tell us what job you want automated. We'll scope the first deployment within 48 hours.