Runs you can inspect
See whether an agent ran, what triggered it, which tools it used, what it produced, and where it stopped. Production behavior should be observable, not mysterious.
02 / Managed AI agents
Agents that stayuseful in production.
A prototype proves an idea. A managed AI agent keeps doing the work after APIs change, permissions expire, data gets messy, and your team asks for something new. Torres Labs owns deployment, monitoring, maintenance, and iteration for the system we build.
HostingIncluded
Run visibilityEnd to end
Small improvementsOngoing
01 / Outcomes
The operational layer between an AI demo and dependable work.
Failures with an owner
When an integration breaks or an edge case appears, the person who built the system investigates it. There is no vendor handoff between support, implementation, and engineering.
Changes without a rebuild
As your process evolves, we adjust prompts, tools, permissions, schedules, and outputs so the agent continues matching the way the business actually operates.
02 / Process
One operating loop, from live run to better system.
Deploy deliberately
We establish the right access, triggers, approvals, and failure boundaries before the agent takes ownership of recurring work.
Watch real runs
Execution history exposes success, latency, tool use, and blockers. We use real behavior—not a one-time demo—to decide what needs attention.
Tune the operation
Feedback becomes a concrete change to the system. Small adjustments are included, while larger new capabilities enter a visible build queue.
03 / Applications
Management matters wherever the work cannot quietly stop.
Scheduled reporting
Keep weekly digests, executive summaries, attribution reports, and operational scorecards running even as source systems and formats change.
Inbox and queue operations
Monitor shared inboxes or task queues, classify incoming work, draft or send approved responses, and escalate exceptions before SLAs slip.
Data synchronization
Move and reconcile information between CRMs, spreadsheets, databases, and internal systems with clear logs and recoverable failures.
Continuous monitoring
Track competitors, accounts, systems, or public sources and deliver the relevant change—not an undifferentiated feed—to the right owner.
04 / Questions
The practical details.
What is included in management?
Managed hosting, run monitoring, maintenance, incident investigation, and small workflow tweaks are included for each active agent. You also get a dashboard for runs and requests.
Can you manage an agent somebody else built?
Usually we begin by auditing the existing system, its source code, integrations, deployment, and failure history. We can take ownership when the architecture is supportable; otherwise we recommend the smallest practical rebuild.
What does a managed agent cost?
A single production agent starts at $2,500 per month. Teams that want an ongoing build queue can use the $7,500 monthly Build plan for unlimited agent and workflow requests delivered one at a time.