ArcMetric AI designs, deploys, and scales practical AI agents, automation workflows, dashboards, and custom AI products across operations, marketing, and customer experience.
Production
Not demos
Audit-First
Engagement
Cloud / On-Prem
Deployment
Workspace
System
Queue
Active Agents
24
Tasks / hr
1,847
Error Rate
0.38%
Avg Latency
162ms
Agent throughput
· last 20hAlerts
Queue depth high: support-agent
Model latency spike detected
doc-agent restarted (OOM)
Activity stream
01 — Services
Six core engagement areas — each starting with a workflow audit and ending with a deployed, integrated system.
View all servicesProduction-grade AI agents for support, sales, and internal operations — integrated with your CRM, ticketing system, and knowledge base. Includes routing logic, retrieval pipelines, and human-in-the-loop escalation.
End-to-end automation across CRMs, calendars, email, forms, spreadsheets, and internal tools. We design webhook architectures, n8n / LangChain pipelines, and API integrations that handle real operational throughput.
A structured workflow audit covering data flows, system inventory, integration surface, and team operations — producing a prioritized AI roadmap with ROI, feasibility, and vendor recommendations.
Operational dashboards built on warehoused data — SQL pipelines, BI layers, and reporting systems that surface KPIs, anomalies, and decision-grade insights for ops, sales, and leadership.
Technical SEO, schema markup, content structure, and generative-engine optimization for AI search and answer engines. We engineer visibility across Google, Perplexity, and LLM-driven retrieval.
Full-stack AI product engineering — from MVP scoping to model selection, evaluation harnesses, deployment, and ongoing iteration. Internal platforms, vertical SaaS, and AI-powered applications.
02 — What We Build
Each engagement targets a specific operational workflow. Below are the categories we build most often — every implementation is scoped to the customer's data, integrations, and team.
Operational Problem
Inbound leads sit in a queue for hours while reps qualify manually, losing the highest-intent prospects.
AI Solution
An always-on qualification agent that enriches every inbound lead, scores against ICP, and routes to the right rep with calendar booking.
Workflow Impact
Faster response on hot leads, consistent scoring, and SDR time refocused on closing.
Operational Problem
Teams repeatedly ask the same questions across SOPs, contracts, and policy documents — slowing decisions.
AI Solution
A retrieval-grounded internal AI with role-based access, cited sources, and audit logging across your document corpus.
Workflow Impact
Faster internal answers and less time lost re-finding the same information across teams.
Operational Problem
Tier-1 inquiries flood support agents and pull capacity away from higher-value cases.
AI Solution
A multi-channel support agent that resolves common inquiries end-to-end and intelligently escalates with full conversation context.
Workflow Impact
Reduced first-response time and human agents focused on complex, high-value tickets.
Operational Problem
Operational metrics live in scattered tools — making it hard to see what's actually happening across the business.
AI Solution
A unified dashboard fed by ETL pipelines into a warehouse layer, with anomaly detection and role-specific views.
Workflow Impact
A single operational picture for leadership, with alerts that reach the right team before issues escalate.
Operational Problem
Scheduling, dispatch, and follow-ups consume coordinator time across multi-location teams.
AI Solution
An AI assistant for scheduling, status updates, exception handling, and proactive coordination across calendars and CRMs.
Workflow Impact
Less manual coordination overhead and tighter loop between field, ops, and customer.
Operational Problem
AI agents, automations, and integrations grow into a tangled mesh of one-off scripts and webhooks.
AI Solution
A central orchestration layer with run history, monitoring, retries, secrets, and human-in-the-loop checkpoints.
Workflow Impact
Reliable AI infrastructure your team can operate, monitor, and extend — not a black box.
03 — Solutions Preview
Operational interfaces from across our engagements — dashboards, agent consoles, automation monitors.
Workspace
System
Queue
Active Agents
24
Tasks / hr
1,847
Error Rate
0.38%
Avg Latency
162ms
Agent throughput
· last 20hAlerts
Queue depth high: support-agent
Model latency spike detected
doc-agent restarted (OOM)
Activity stream
Resolution Rate · Mar 2025
87.4%
▲ +4.2 pts MoM
vs target
85.0%
+2.4 pts above
Resolution % by week
CSAT Score
4.6/5.0
▲ vs last mo
Avg Handle
2:11min
▼ vs last mo
FCR
79%
▲ vs last mo
Volume by channel
Running
4
Queued
18
Paused
1
Failed
0
Active workflows
· 24h windowRuns 24h
2,847
Success
99.4%
Last run
1s ago
Runs 24h
621
Success
100%
Last run
12s ago
Runs 24h
4,112
Success
98.2%
Last run
now
Runs 24h
344
Success
97.1%
Last run
4 min
Runs 24h
1
Success
100%
Last run
2 hr
Runs 24h
1,234
Success
99.8%
Last run
3s ago
Event log
142
Inbound
+28
138
Scored
97%
126
Routed
91%
31
Hot
22%
Inbound Queue
142 today · 28 in last hrqual-agent v2.4 · auto-scored
7 of 142 · view all
lead-routing.flow
Run #2847 · started 14:38:00 · 5 of 5 steps complete
Receive
42ms
Enrich
381ms
Score
1.1s
Route
88ms
Notify
142ms
Triggered 24h
2,847
Completed
2,833
In progress
6
Failed
8
Recent runs
avg 1.6sToday
Conversation #43218
support-agent · started 14:36:22 · channel: web
USER · 14:36:22
via web
Where's my order #A-4892?
AGENT · 14:36:24
conf 0.96
Order #A-4892 shipped Mar 14, ETA Mar 18. Tracking: 1Z999AA10123456784
USER · 14:36:41
via web
Can I change the delivery address?
AGENT · 14:36:43
conf 0.91
Address changes allowed up to 2 hrs before dispatch. I've updated to your new address on file.
USER · 14:37:01
via web
Perfect, thanks!
sentiment: positive · CSAT: sent
view full transcript →
Representative interface previews — production systems are tailored to each engagement.
04 — Example AI Workflows
Representative end-to-end workflows we design and deploy — orchestrated agents, integrations, and reporting layers.
Inbound form → AI scoring → CRM update → outreach → reporting.
Documents → retrieval pipeline → AI assistant → human review → decision.
Inquiry → AI agent → knowledge search → suggested reply → human approval.
05 — Implementation Process
Structured engagement — from discovery to scale — with checkpoints at every stage.
We map operational workflows, system inventory, data flows, and team responsibilities — before any AI conversation begins.
We score opportunities by ROI, feasibility, and integration complexity, then produce a prioritized roadmap.
A focused MVP targeting the highest-value workflow first — shipped in weeks, integrated with your existing stack.
Production integration with CRMs, data warehouses, internal tools, and authentication systems. Cloud, hybrid, or on-prem.
Continuous evaluation, model monitoring, and iteration as your data, processes, and business evolve.
06 — Deployment Models
Cloud, hybrid, on-prem, or edge — engineered to fit your security posture and operational reality.
Fully managed AI infrastructure on AWS, GCP, or Azure. Fastest path to production with elastic scale and managed services.
Best for
Standard SaaS workloads, distributed teams, rapid iteration
Sensitive data and inference stay in your private environment while orchestration, retrieval, and tooling run in the cloud.
Best for
Regulated industries, data residency requirements, partial isolation
Self-hosted models (Llama, Mistral, Ollama) running entirely inside your network. No data leaves your perimeter.
Best for
Healthcare, legal, defense, compliance-heavy operations
AI inference on-device or at the network edge — for low-latency operations, offline environments, and field deployments.
Best for
Agriculture, logistics, industrial monitoring, field operations
07 — Industries We Support
Selected industries where we've designed AI systems for measurable operational outcomes. Each engagement is scoped to the specific workflows and data realities of the sector.
01
Challenge
Manual monitoring of crop health, irrigation, and yield forecasting across distributed land.
AI Solution
Edge AI vision systems, sensor-driven dashboards, and predictive yield models.
Outcome
Lower input waste and earlier intervention on crop anomalies.
02
Challenge
Fragmented telemetry from solar, wind, and storage assets across multiple sites.
AI Solution
Unified monitoring dashboards, anomaly detection, and AI-assisted maintenance scheduling.
Outcome
Improved asset uptime and faster fault response.
03
Challenge
Dispatch coordination, route planning, and customer comms handled across disconnected tools.
AI Solution
AI agents for dispatch routing, automated status updates, and exception handling workflows.
Outcome
Faster turnaround and fewer operational escalations.
04
Challenge
High-volume intake, document review, and client communication across legal, consulting, and accounting practices.
AI Solution
Internal RAG assistants, intake automation, and document-grounded copilots.
Outcome
Reduced manual review time and faster client response.
05
Challenge
Inconsistent support quality, fragmented customer data, and slow response across channels.
AI Solution
AI support agents, unified customer profiles, and analytics dashboards across touchpoints.
Outcome
Higher first-contact resolution and consistent CX across channels.
Running
4
Queued
18
Paused
1
Failed
0
Active workflows
· 24h windowRuns 24h
2,847
Success
99.4%
Last run
1s ago
Runs 24h
621
Success
100%
Last run
12s ago
Runs 24h
4,112
Success
98.2%
Last run
now
Runs 24h
344
Success
97.1%
Last run
4 min
Runs 24h
1
Success
100%
Last run
2 hr
Runs 24h
1,234
Success
99.8%
Last run
3s ago
Event log
08 — Architecture
Secure workflows, human-in-the-loop systems, scalable infrastructure, and cloud-or-on-prem flexibility — engineered into every engagement.
Cloud, hybrid & on-prem options
API integrations
CRM & calendar automation
Secure data handling
Human-in-the-loop workflows
Dashboard & reporting layers
Scalable AI agent architecture
09 — Technology Stack
Frontier models, open-source LLMs, orchestration layers, data systems, and integration tooling.
Models
OpenAI
Models
Anthropic
Models
Ollama
Orchestration
LangChain
Orchestration
n8n
Data
Supabase
Data
PostgreSQL
Data
Vector Databases
Infrastructure
AWS
Infrastructure
Vercel
Integration
REST APIs
Integration
Webhooks
10 — Sample Use Cases
Illustrative examples — not specific to any past client.
A multi-channel support agent (chat, email, voice) that resolves Tier-1 inquiries, escalates intelligently, and integrates with the existing CRM and knowledge base.
An automated pipeline that enriches inbound leads, scores them against ICP criteria, and books qualified prospects directly into the sales team's calendar.
A secure internal AI assistant that answers questions across SOPs, contracts, and policy documents with cited sources and access controls.
A unified operations dashboard pulling data from scheduling, billing, and patient/customer systems into a single decision-intelligence view.