AI business operations intelligence
Your business operations, understood by AI.
OpsMetric AI continuously understands your processes, workflows, workload and operational data to detect problems, predict what comes next, recommend what to change and help execute the right actions.
Observe · Reason · Optimize · Execute · Improve
- 8
- specialized AI agents sharing one organizational context
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- action states from suggested to verified
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- permission levels from observe to measure
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- roles enforced at the database level
The operations problem
Your systems are full of data. Nothing connects it into an operational picture.
Dashboards report what happened in one tool. They don't link processes, people, workflows, incidents, SLAs, workload and outcomes — so operational problems get managed one dashboard at a time.
The intelligence layer
Not pages on top of tables. A loop that learns from outcomes.
- 01
Observe
- 02
Understand
- 03
Predict
- 04
Optimize
- 05
Execute
Enterprise data → operational context → intelligence engines → reasoning → recommendations → actions → measured outcomes → continuous improvement.
What OpsMetric understands
The whole operation, in context.
Processes
Cycle time, waiting time, handoffs, rework and throughput — step by step.
Workflows
Stalled work, overloaded stages, unnecessary approvals and missing ownership.
Workload
Team capacity, backlog growth and work concentration — operational, never personal.
Incidents
Grouped, linked to the workflows they hit, and measured after resolution.
SLAs
Compliance, approaching deadlines and the stages that cause breaches.
Operational risks
Emerging risks with severity, evidence, confidence and a recommended action.
AI agents
One problem. Specialized agents working in sequence.
A backlog is detected, the stage is located, causes are investigated, capacity is checked, options are generated — all on shared organizational context, not in disconnected chat windows.
Operations Agent
Monitors overall operational health and prioritizes recommendations.
Workflow Agent
Finds the stage where work is stalling.
Root-Cause Agent
Separates observed evidence from hypotheses.
Workforce Intelligence Agent
Checks workload and capacity.
Process Optimization Agent
Generates improvement options with expected impact.
SLA Agent
Watches service levels and flags risk early.
Incident Agent
Investigates incidents and recurring patterns.
Continuous Improvement Agent
Measures whether changes actually worked.
Optimize my operation
State an objective. Get a plan you can approve.
Enter a goal such as “Reduce operational processing costs by 15% while maintaining current service levels.” OpsMetric analyzes your data and returns current state, findings, bottlenecks, root-cause analysis, forecast, strategy and actions with owners, priorities, deadlines and approval requirements.
- Evidence-first AI: observed facts, correlations and hypotheses are never blurred
- No fabricated metrics — empty states tell you what data is required
- Approval gates on consequential actions
- Before → intervention → after outcome tracking
- CSV ingestion with field mapping and data-quality reporting
- Integration-ready architecture (connectors listed honestly as not yet live)
Objective
Reduce operational processing costs by 15% while maintaining current service levels.
Continuous improvement
Did the change actually work?
Problem
Detected from your data with evidence.
Action
Approved by a human, then executed.
Outcome
Before and after metrics recorded.
Improvement
Verified — and fed into future recommendations.
Your confirmations, rejections and recorded outcomes are stored and included as context in future analysis. OpsMetric does not retrain models.
Enterprise architecture
Secure organizational context, ready for your systems.
Organization isolation
Every record belongs to one organization and is protected by database-level Row Level Security.
Role-based access
Owner, Admin, Operations Manager, Analyst and Team Member — enforced on the server and in the database.
Server-side AI
Model calls, credit deduction and validation happen on the server. Keys are never sent to the browser.
Auditable by design
Imports, AI insights, approvals and executed actions are written to an activity log.
Today you can bring data in through CSV upload and manual records. Connectors for CRM, ERP, project management and support systems are part of the architecture and are listed as coming soon until live.
Pricing
Simple plans. AI usage is credit-based.
Professional
$57/month
For operations teams starting to run on intelligence.
- All intelligence engines and AI agents
- CSV ingestion and organizational context
- AI credits for analysis and optimization
Enterprise
$97/month
For organizations running operations across many teams.
- All intelligence engines and AI agents
- CSV ingestion and organizational context
- AI credits for analysis and optimization
Stop managing operational problems one dashboard at a time.
Let AI understand the operation.