AI in your business,
built by us,
run safely for you.
DeployCo designs, deploys, and governs AI agents for organizations bringing AI into production. Each agent is built for a specific job, run from our infrastructure, and approved by you before any output reaches your customers.
Agents that do the work, not just describe it.
Every action waits for your one-tap approval.
Built for specific jobs.
Built for your business.
Each engagement is one job, done well. Six common categories of work agents are built to operate.
Ticket resolution, end to end
Classifies incoming tickets, pulls the order or account history, and resolves the routine ones — issuing the refund, requesting the reshipment, closing the loop. The cases that need human judgment are escalated with full context. Your team sees fewer tickets, and the ones they see are the ones that matter.
Inbound lead response
Replies to new lead submissions within minutes, qualifies them against your ICP, sends a personalized first response, and books the meeting on your calendar — logging it all to your CRM. The hours your team spent chasing follow-ups go back to closing.
Inventory and reordering
Scans stock levels, sell-through, and supplier lead times on a schedule, flags what is about to run out, and prepares the purchase orders before you hit zero. You approve the reorders; the agent handles the watching and the math.
Account health and churn signals
Reads usage, billing, and support sentiment across your accounts, surfaces the ones trending toward churn, and prepares the retention follow-up with the reason attached. The risk is caught while there is still time to act on it.
Invoice matching and AP
Matches incoming invoices against the purchase order and goods receipt line by line, schedules payment on what reconciles cleanly, and routes the discrepancies to your team. Exact, deterministic, and auditable — no guessing on the numbers.
Campaigns that run and optimize
Produces the variants in your brand voice, publishes across your channels on schedule, then watches performance and shifts spend toward what works. Drafting is one step inside the loop — not the whole job.
Built for one job, not configured from a template
Each agent is designed in a working session with you. The goals, the tools it can use, the rules it operates under, and the boundaries of what it cannot touch — all defined at the schema level, not as policy documents.
Nothing reaches your customers without approval
Every output produced by the agent lands in your approval queue. You approve, edit and approve, or reject. The system never decides for you, and the audit log records every decision.
Operated and governed by us, not by your team
We design the agent, deploy it on our infrastructure, monitor it, and apply the governance layer. You review work in your queue. Building or running an AI team is not a prerequisite.
From discovery to a working agent in production.
Discovery call
45 minutes
We learn what the agent would do, where it would touch your business, and what would have to be true for you to trust it. We tell you whether this is a fit before discussing scope or cost. No pitch deck.
Design and build
1 – 3 weeks
Goals defined. Tools chosen. Rules and policies encoded at the schema level, not in a runbook. Integrations wired into your existing systems. Approval flow configured to your team's structure.
Review outputs in production
Ongoing
The agent runs from our infrastructure. Outputs land in your approval queue with full context — what triggered it, what the agent reasoned, what it produced. You approve, edit, or reject. Every decision is logged.
Monitor, govern, improve
Always
Drift, edge cases, governance gaps, and operational anomalies are detected and addressed by our team. You receive weekly summaries of what the agent did and where it needed your judgment most. The system gets sharper over time.
The operational guarantees
behind every engagement.
Every output is approved by your team before anything is published. No setting bypasses this. The approval queue is the safety layer — an agent producing a bad draft is a non-event, because the draft never leaves the queue.
Every action — agent runs, governance decisions, our admin actions inside your workspace, your team's approval decisions — is logged. Your compliance officer can reconstruct any moment, months later.
We do not sell access to your data, train models on your content, or share your inputs with anyone. The agents call commercial language models with prompts assembled from your configuration, and the outputs come back to you. That is the only data flow.
Headquartered in California. The team is small and growing deliberately. We hire for the kind of judgment this work demands — discretion with what crosses our customers' desks, restraint in what the agents are allowed to produce, and seriousness about what enterprise procurement actually requires.