Recover Lost Revenue
Missed leads, stalled quotes, weak reactivation, and broken revenue handoffs.
Move more qualified opportunities through the business.
Custom AI Systems for Operations
We build the systems
your software can't.
OpsHive designs and implements custom AI systems for operational problems that materially affect revenue, margin, capacity, and speed.
Revenue. Margin. Capacity. Decision speed. Operational risk.
Start with the business problem. We determine what belongs in software, AI, automation, integration, and human judgment.
Problem before technology
- Problem
- Economic consequence
- System
- Operational result
Where the value is created
Revenue
Margin
Capacity
Decision Speed
Operational Risk
We focus on business constraints expensive enough to justify building a custom system around them.
What we solve
Expensive problems
hidden inside everyday work.
The most costly problems show up as missed opportunities, repetitive labor, slow decisions, rework, broken handoffs, and processes that require more people every time the business grows.
Move More Work
Manual review, repetitive administration, high-volume processing, and coordination overhead.
Move more work through the existing operation.
Protect Margin
Rework, duplicate labor, slow handoffs, missed billables, and manual report creation.
Reduce unnecessary operational cost and leakage.
Accelerate Decisions
Slow approvals, scattered information, manual context assembly, and status chasing.
Get the right information to the right person sooner.
Make Critical Work More Controlled
Missing documentation, inconsistent QA, unclear ownership, and buried exceptions.
Make critical processes more controlled and visible.
How OpsHive works
Diagnose. Design. Build. Prove.
Diagnose
Understand the economics of the problem.
Design
Map the operation and define what belongs in software, AI, automation, integration, business logic, and human judgment.
Build
Implement the system inside the actual operating environment.
Prove
Run it against real work and measure the operational result.
The system
The architecture follows
the problem.
OpsHive chooses the technology after understanding the operation.
Input
Leads · Requests · Documents · Field data · System events
Process + Logic
Business rules · AI reasoning · Classification · Extraction · Prioritization · Workflow logic
Action
Route · Assign · Generate · Update · Escalate · Trigger
Human Review
Approvals · Exceptions · Judgment · Overrides · Quality control
Output
Completed work · Structured data · Decisions · Reports · Next actions · Management visibility
The technology may include
Custom software / AI + decision support / workflow automation / data + integrations / reporting + visibility
Real client work
Built inside
real operations.
OpsHive designed and implemented AI-assisted operational systems for a distributed consulting organization managing complex assessment and reporting work across more than 200 locations.
200+
Locations supported
10+
Field and review professionals
Result
Structured review and clearer handoffs
Control
Human judgment and QA preserved
The work standardized important workflows, reduced dependence on scattered manual coordination, and improved visibility into work in progress. Client identity and certain business details remain confidential.
View ResultsBefore and after
Operating leverage comes from the system around the work.
Before OpsHive
- Growth requires more coordination.
- Information lives across systems.
- Important work depends on memory.
- Managers chase exceptions manually.
After OpsHive
- More volume moves through the existing operation.
- Information becomes structured and usable.
- Work moves through defined systems.
- Exceptions surface when intervention is required.
“Most companies don't need another piece of generic software. They need the systems they already use to stop depending on someone remembering what happens next.”
Anthony Antoniello
Founder & CEO, OpsHive AI
Engagements
Built for problems
worth solving properly.
Systems Diagnostic
$1,500
Quantify, map, and design an expensive operational problem.
Custom AI System
Starting at $25,000
Build a purpose-built system around a defined operational constraint.
Ongoing AI + Operations Partner
Starting at $12,000 / month
Ongoing system implementation and operational improvement.
Strategic Systems
Starting at $50,000
Larger multi-workflow, multi-system, or internal-platform initiatives.
Starting prices reflect entry points. Larger initiatives are scoped according to complexity, economic importance, workflow breadth, integration requirements, and implementation depth.
View PricingInsights
Practical thinking on AI,
operations, and operating leverage.
How custom systems affect revenue, margin, capacity, workflow design, decision-making, and real business operations. No hype.
AI Readiness
Stop Buying AI on Benchmark Scores. Test Your Own Work.
A model ranking cannot tell you whether your workflow will finish correctly. Use real cases, failure cases, and a clear release standard before buying in.
Read InsightOperations
A Familiar Voice Is Not an Approval Control
AI-generated voices make a convincing request easy to fake. Payment, bank-detail, and access changes need verification, not a familiar voice.
Read InsightAI Operations
Your AI Budget Needs a Cost per Completed Job
A cheaper model does not guarantee cheaper work. Measure the full cost of a completed job, including retries, review, and the work that comes back.
Read InsightStart with the problem
Bring us the problem.
Tell us where work is costing the business revenue, margin, capacity, speed, or control.
You do not need to know what AI system you need.
We will determine whether there is a system worth building.