OpenCloser Dev
Build the controls before AI cost runs away.
Implementation, analytics, and advisory for enterprises that need AI token cost reduction—not another dashboard celebrating how many tokens were burned.
Same task. Two bills.
Route work to the cheapest intelligence that still meets quality.
The gap is where savings live.
See it
Token-level accounting across internal, external, and hybrid AI compute.
Provider invoice normalization for OpenAI, Anthropic, Gemini, Cursor, and custom gateways.
Dashboards by team, project, workflow, model, vendor, agent, and customer.
Cost-per-task and cost-per-outcome reporting instead of one opaque line item.
Understand it
Separate productive AI work from token theater, padding, retries, and loops.
Prompt, context, tool, and agent trace reviews to find unnecessary token burn.
ROI mapping for sales, support, engineering, operations, and finance workflows.
Forecasting so a single prompt change cannot surprise the CFO next month.
Control it
Spend better with model routing, limits, alerts, caching, and workflow redesign.
Route simple work away from frontier models when smaller models are enough.
Set budget guardrails, spike alerts, daily limits, and owner approvals.
Refactor agentic workloads that re-read context, duplicate writes, or spawn wastefully.
Token laundering audit
We look for the patterns that make consumption look like growth while margins collapse.
VC-subsidized usage hiding failing unit economics.
HTML bloat, unnecessary formatting, and duplicate system writes.
Agent swarms, heartbeat reports, and tokenmaxxin KPIs with no business value.
Cut bloat Cap loops Prove ROI
Inference is the operational cost center
The token got cheaper, but teams bought more of them. We build controls for the part of AI that now runs every day.
Reasoning tokens Agent retries Context compression Hybrid routing
Schedule a call
We will discuss your AI bill, current tools, runaway-cost risks, and the fastest path to measurable savings.
Book 30 minutes
OpenCloser