AI Bottleneck Audit
A scoped diagnostic engagement to identify where automation or custom software will actually matter.
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Services
Systems we build at OakRev
Some of the key systems we’ve built can be categorized across audits, automation, internal tools, integrations, and revenue operations.
AI Workflow Automation
AI-assisted workflows that reduce manual triage, repetitive follow-up, and operational dead time.
Custom Software Development
Purpose-built software for workflows that cannot be handled cleanly by off-the-shelf tools.
Internal Tools
Focused applications for operators, support teams, finance teams, and managers who need better internal surfaces.
Revenue Reconciliation Systems
Reconciliation workflows for brands and operators who need faster visibility into payment accuracy and revenue leakage.
Support Automation
Queue design, triage automation, and support workflow systems for teams dealing with high-volume inbound work.
System Integrations
Stable data movement between the tools your teams already rely on.
Case Studies
Operational systems with measurable outcomes
Case Study
Prosperr.io
Sales workflow and CRM discipline
Problem
The sales team was wasting time, and lead data inside CRM was not reliable enough to diagnose funnel issues.
What we did
We mapped the sales process, identified weak points, and added forms and workflows at the right status-change moments.
Outcome
Better CRM hygiene, clearer funnel visibility, and easier identification of leakages in the sales process.
Case Study
Snapmint
Support automation and operational efficiency
Problem
Support workflows had too much manual work across their support management system.
What we did
We integrated with their support management tool and automated repeated in-between support processes.
Outcome
Reduced the human workload to roughly 25% of the earlier effort, moving a large part of the support load from manual execution to automated workflows.
Case Study
Pavo AI
Productionizing ML-agent products
Problem
Pavo AI was building agents for ML teams and needed to move from product idea to usable software.
What we did
We built the frontend and early backend version before their internal engineering team was hired.
Outcome
Helped them get an early product into production shape faster, giving the founding team a working base to validate, demo, and extend.
Case Study
Putting Scenes
Backend stabilization and AWS cost reduction
Problem
Backend and infrastructure costs were too high.
What we did
We fixed backend issues and optimized the infrastructure setup.
Outcome
Reduced AWS spend from $7,000 per month to $350 per month while stabilizing the backend.
Contact Us
Work with us
You can contact us at:
shobhit@oakrev.com