We take the agent from staging to production with no migrations and no rewrites. We deploy it in your cloud or on-premise, with the permissions your IT team defines, a log of every action, monitoring and human approval by threshold, and we stay on to run it.
A model that runs in a demo and a process your team uses every day are two different things. We close that gap: we package, deploy, instrument and leave the agent ready to operate at your real business volume, under the agreed controls.
The agent works only with the credentials and permissions your IT team grants in each system. Nothing outside its scope. Every action is logged: what it read, what it decided, which rule it applied and who approved.
Business rules, input/output validation, spend limits and anti-hallucination controls stop the agent before it makes a wrong call. At critical points, a person approves before anything executes: review queues, confidence thresholds and automatic escalation when the agent isn't sure.
We instrument logs, metrics and traces end to end: accuracy, exceptions, cycle times, latency, cost per run and error rate. Dashboards and alerts so you can see how the process behaves in real time, not only when something breaks.
We deploy in your cloud (AWS, GCP or Azure) or on your on-premise servers, with data encrypted end to end that never leaves the perimeter you already control. Containers, CI/CD and infrastructure as code: every change is tested before it reaches production, and every release is versioned and reversible.
We map your cloud, your integrations and your information security requirements, and agree with IT on the agent's credentials and permissions in each system. We define what gets deployed, where, and against which SLAs. The goal is to deploy on what you already have, with no platform migration or vendor switch.
We containerize the solution, build the CI/CD pipeline with infrastructure as code, and configure secrets, audit logs and rollbacks. Every deployment is versioned, tested before it ships and can be rolled back in minutes.
We go live in a controlled way: first a canary or a slice of the volume, with guardrails on and human approval at its highest level. We watch real metrics against your data and tune before opening the flow to 100%.
Once the agent is stable, we document everything, train your team and define the support and operations plan. You're left with a maintainable, auditable process: you know how to monitor it, how to scale it, and who to call if an incident shows up.
No. We deploy on your current stack, in the same cloud or on-premise, with the databases and integrations you already use. We adapt to your ecosystem, not the other way around. If a migration adds value down the road, we'll raise it as a separate decision, never as a condition to get started.
Three layers: guardrails that validate every input and output against your business rules, human approval at the thresholds you set, and daily monitoring that catches any degradation. You start with heavy oversight and the automation widens only when real metrics back it up.
Every release is versioned and rolls back in minutes. We roll out gradually (canary or by share of volume) precisely to contain the blast radius of any problem. And the post-deploy support plan defines who responds and how fast when an incident hits.
Your teams. Every action goes into an audit log: what it read, what it decided, which rule it applied and who approved. IT, risk and internal audit can review it whenever they need to, and operating metrics stay visible on dashboards with alerts.
We define a post-deploy support plan with continuous monitoring, agreed response times and iterative improvement. We also document everything and train your team so the process is maintainable in-house, without depending on us forever.
In a call under 30 minutes we review your stack, your integrations and your security requirements, and tell you straight what can be in production in under 30 days, with no migrations.
