AI assurance for live operations
NanoTech Hub designs and validates AI automation for support, document operations, compliance workflows, retrieval systems, and agentic task execution. We bring the delivery depth of an automation partner with the attack mindset of an AI testing team.
Platform story
Replace fragile manual handoffs with workflows that classify documents, route requests, summarize cases, and trigger downstream actions with clear audit trails.
Pressure-test assistants, copilots, and retrieval systems before they reach customers or internal teams.
Add evidence, logs, and repeatable QA routines so compliance and security teams can review why the system acted the way it did.
Service lanes
Multi-step workflows for intake, triage, routing, summarization, and operational decision support.
Prompt injection, unsafe output, hallucination, bias, and refusal-quality validation across user journeys.
Grounded assistants that cite evidence, limit unsupported claims, and surface retrieval gaps before release.
Tool-using agents wired into CRM, ERP, support, document, and analytics environments without a full rebuild.
Scorecards, evaluation pipelines, and failure reporting that keep automation quality measurable after launch.
Roadmaps for where to automate first, which risks to manage early, and how to prove ROI to stakeholders.
Industry coverage
Fraud review, onboarding checks, document classification, and customer-service automation.
Administrative support, routing, record summarization, and patient-facing workflow assistance.
Quality control, maintenance signals, incident triage, and production documentation workflows.
Contract review, risk extraction, policy Q&A, and evidence-backed workflow support.
Support automation, product intelligence, ops analytics, and customer-response copilots.
Shipment exception handling, route support, warehouse intake, and claims workflow automation.
Assurance desk
This browser demo mirrors the Kent-style “assistant lab” pattern, but for AI testing. Choose a failure mode and see the verdict, risk notes, and remediation plan.
Promptfoo-style verdicts, QA notes, and mitigation actions are generated after each run.
The assistant will answer first. Then the desk scores whether you exposed a prompt leak, unsafe output, unsupported claim, or persona drift.
Virtual assurance desk ready. I will review guardrails, grounding quality, and release readiness.
Business impact
FAQ
Traditional automation follows fixed rules. AI automation can classify, summarize, reason across steps, use tools, and adapt to more variable inputs, but it needs much stronger testing and controls.
Targeted pilots are often delivered in two to six weeks. Larger multi-agent programs with enterprise integrations usually take longer because QA, security review, and rollout governance matter.
Yes. Most engagements wrap AI around existing CRM, ERP, support, analytics, and document systems through APIs, queues, and controlled tool access.
We combine deterministic checks, adversarial scenarios, grounding reviews, custom LLM judges, promptfoo-style eval suites, and runtime monitoring after release.