Augmented Labs' managed AI services help run your AI from launch through daily operations, combining testing, quality, human oversight, analytics and continuous optimization in one managed operating model.
AI is everywhere. And somehow, it has become one more thing businesses are expected to figure out.
Choose the right models. Build the agents. Train them. Monitor them. Improve them. Manage them. Keep up with what changes next.
We don’t think that should be your job.
Augmented Labs brings together AI technology and real customer experience expertise to design, deploy, manage, and continuously improve the agents working across your business. The platform is only part of the deployment. We work alongside your team from the first conversation through production, optimization, and ongoing management.
No need to become an AI expert. No need to build another team just to manage the technology. No need to constantly wonder whether your agents are performing the way they should.
We take care of the AI, so you can take care of your business.
Managed AI services bring deployment, evaluation, oversight and improvement into one continuous operating model rather than treating launch as the finish line.
Policy boundaries, escalation paths, knowledge sources and quality criteria are defined before go-live.
Policy boundaries · Set. Escalation paths · Set. Knowledge sources · Connected. Quality criteria · Ready.
When a conversation requires judgment, approval or exception handling, Augmented Labs can bring the relevant context together and route the decision to the right human.
My plan changed yesterday and I was charged twice. Can you remove the extra charge?
I can see the recent plan change and the duplicate charge. This exception requires review before I can confirm the adjustment.
No explicit exception path
Recent plan change
Similar cases reviewed manually
Approve eligible adjustment
Human decision requiredAnalytics and quality signals surface recurring issues, escalation patterns, knowledge gaps and operational friction so teams know what to improve next.
These signals are the raw material for the next round of knowledge and workflow updates.
Use analytics and quality signals to prioritize what needs attention and guide the next round of improvements.
Testing and evaluation continue beyond implementation, helping teams review behavior, edge cases, policy handling and production changes over time.
Consistent with current guidance
Response reflects current knowledge sources
Repeat pattern flagged for review
Handoff completed as designed
A reviewer periodically compares evaluation findings against human judgment to keep the criteria themselves well calibrated.
Evaluated consistently across policy handling, knowledge grounding, escalation behavior, workflow completion and customer experience.
Policies, knowledge, quality criteria and escalation paths stay consistent across voice, chat, messaging and email.
Same policy applied as in every other channel.
Escalation path carries over from the prior contact.
Knowledge source stays current with the latest update.
Quality criteria remain the same regardless of channel.
Context carries across channels, AI agents, and human handoffs.
Augmented Labs' managed AI services cover design, integration, deployment, ongoing operations and continuous improvement, with visibility and oversight through Console.
Your team gets visibility and oversight through Console while Augmented Labs operates and continuously improves the AI behind it.
Track the quality, operational and customer signals that show whether the deployment is resolving needs effectively and where the next improvement should happen.
How consistently conversations are resolved in a way that reflects current policy and knowledge.
Where and why conversations require a human, and whether repeat patterns are emerging.
Whether guidance has kept pace with policy and product changes.
Whether handoffs across systems and channels complete as designed.
What evaluation is surfacing across AI and human-assisted conversations.
Friction and gaps identified before they affect more customers.
Whether the next knowledge or workflow update is tested and ready.
How the operating model is shaping the experience customers actually have.
See how Augmented Labs can operate, oversee and continuously improve your customer-facing AI.
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