React
TypeScript
Claude
Node.js
AI / Voice / Multi-Agent
VeriVoice
An intelligent multi-agent voice platform designed to automate business conversations and workflows.
- React
- Next.js
- Node.js
- AI
- +1
Next.jsView Case Study
Case Study / AI / Automation
NexusOps / 14 weeks
Enterprise Autonomous Multi-Agent Orchestrator
A multi-agent operations platform that triages support, qualifies sales leads and governs high-risk actions across omnichannel inbound traffic — with human sign-off on everything that matters.
- 78.4% Autonomous containment rate. Inbound events resolved end-to-end without a human in the loop.
- < 0.80 Confidence floor. Anything below the threshold pauses in the HITL approval queue.
- 4 Specialized agents. Triage, technical support, BANT sales and governance in one DAG.
- React
- TypeScript
- Claude
- Node.js
- Zendesk
- HubSpot
Overview
Client Overview
An enterprise B2B SaaS platform serving high-stakes customers across Standard, Growth and Enterprise tiers with guaranteed SLAs. Support and sales engineering teams were overwhelmed by manual ticket routing and lead qualification, while every external integration failure silently dropped customer interactions until an engineer manually replayed them.
Services provided
- AI Agents
- Workflow Automation
- Web Application Development
- CRM & API Integrations
- Client
- Confidential — enterprise SaaS platform
- Industry
- SaaS & Technology
- Timeline
- 14 weeks
- Year
- 2025
- Platforms
- Web application, Slack, Email, WhatsApp, Web chat
- Team
- 3 engineers, 1 delivery lead
Challenge
Business Challenge
The situation before the engagement, in the client's terms.
Manual triage, fragmented tools and unenforced governance meant slow escalations, unattended leads and silent integration failures for a high-SLA enterprise support operation.
- 01
Context scattered across silos
Zendesk, HubSpot, internal wikis and Slack each held part of the customer picture, copied by hand.
- 02
Slow escalation
Standard bots either hallucinated actions or failed on anything beyond keyword matching.
- 03
No structured authorization
Refunds, patches and custom SLA terms had no formal approval mechanism before execution.
- 04
Silent integration failures
Rate limits and webhook drops failed workflows silently, dropping customer interactions.
Objectives
Engagement Objectives
What the build needed to achieve before implementation began.
Route every inbound event by semantic intent instead of manual triage
Qualify sales leads with BANT scoring and live ARR sizing
Enforce human sign-off on every high-risk autonomous action
Survive connector failures with retry, backoff and circuit breaking
Keep a tamper-evident audit trail of every agent action
Solution Design
How We Solved It
The approach that addressed each challenge above.
A deterministic multi-agent pipeline where every inbound event is classified semantically, resolved autonomously within hard safety boundaries, and paused for human sign-off the moment a boundary is approached.
- 01
Verified DAG execution
A serialized step executor with promise barriers prevents race conditions between concurrent agents.
- 02
Dual-tier reasoning
Claude Code structured inference with a deterministic local classifier as a crash-free fallback.
- 03
Hard HITL safety gates
Confidence below 0.80, discounts above $1,000 and Sev-1 incidents pause until operator sign-off.
- 04
Resilient connector layer
Three exponential-backoff retries per connector before a circuit breaker trips and alerts.
- 05
Full observability
Live DAG topology, step-level telemetry traces and an immutable audit log for every action.
Capabilities
Key Features
What NexusOps does in day-to-day use.
Four-agent DAG orchestration
Aegis, Vanguard, Meridian and Apex hand off execution state across a verified directed acyclic graph.
Semantic triage & routing
Intent, confidence, sentiment and entity extraction decide the branch before any tool runs.
Human-in-the-loop gates
Low confidence, large concessions and production changes pause in an operator approval queue.
Self-healing integration engine
Exponential backoff retries and circuit breakers recover from rate limits and timeouts automatically.
BANT sales qualification
Budget, authority, need and timeline scored with live ARR sizing and CRM pipeline provisioning.
Tamper-evident audit trail
Every prompt, tool invocation, payload change and operator decision recorded with resource IDs.
Technology Stack
Technology Stack
- React 18
- TypeScript
- Tailwind CSS
- Lucide React
- Recharts
- Node.js
- Express
- Vite
- Claude Code
- Structured JSON inference
- Deterministic fallback classifier
- Zendesk
- HubSpot
- AWS Bedrock
- Slack
- Circuit breakers
- Exponential backoff retries
- React Error Boundary
Outcome
Results & Outcome
What changed for the business after launch.
78.4%
Autonomous containment rate
Inbound events resolved end-to-end without a human in the loop.
< 0.80
Confidence floor
Anything below the threshold pauses in the HITL approval queue.
4
Specialized agents
Triage, technical support, BANT sales and governance in one DAG.
3
Automated retries
Exponential backoff before a connector's circuit breaker trips.
Interface
A Closer Look
Screens from the delivered system.
System health, active executions and the live multi-agent DAG graph. 
Containment rates, agent latency and self-healing metrics. 
Every execution traced from queue through triage to resolution or human approval.
Conclusion
The Result
NexusOps now runs every inbound event through a deterministic four-agent DAG: Aegis routes semantically, Vanguard resolves technical issues against the knowledge base, Meridian qualifies and sizes sales leads into the CRM pipeline, and Apex enforces governance — pausing any action with low confidence or high risk in a human approval queue. Every tool call is logged, every failure retries with exponential backoff, and the platform can be fault-tested live from its own connector hub.
- 78.4% Autonomous containment rate: Inbound events resolved end-to-end without a human in the loop.
- < 0.80 Confidence floor: Anything below the threshold pauses in the HITL approval queue.
- 4 Specialized agents: Triage, technical support, BANT sales and governance in one DAG.
More work
Related Projects
Other systems built on similar foundations.
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- Next.js
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