Routine work on premium models
Classification, extraction, summaries, and first drafts may need a fraction of the capability being purchased.
AI cost optimization
Your AI bill grew faster than the decisions behind it.
Most AI stacks were assembled one decision at a time: one provider, the most capable model, another subscription, and a new feature inside existing software.
We audit the whole operation and turn that scattered spend into a plan ranked by savings, effort, and risk.
Book a cost audit Claude Partner Network member
We track changes in models, pricing, and platforms closely, while testing every option against your actual workload.
Spend surfaceInput / one month of invoices and usage
ContractsPlans, seats, and add-ons
ProvidersAPIs, rates, and discounts
ModelsCapability selected by workload
ArchitectureContext, caching, batches, routing
AttributionCost per feature and team
Delivered in 2 to 3 weeks / written roadmap ranked in dollars
Where money leaks
Overspend rarely has a single cause.
We look for defaults that stopped making sense as the market changed or usage grew.
One provider for every workload
Providers do not deliver the same performance or price for code, long documents, and simple high-volume calls.
Overlapping subscriptions
Unused seats and duplicate tools hide spend outside the API invoice.
Architecture that wastes tokens
Repeated context, excessive retrieval, and no caching or batching turn engineering debt into a monthly cost.
Totals without attribution
Without cost per feature, team, or workflow, every optimization conversation begins as a guess.
Coverage
We review the full stack, not only the model rate.
Every recommendation identifies expected savings, technical effort, risk, and how to verify that quality holds.
Providers
Workload fit, alternatives, and negotiating position.
Models
Required capability tested against real tasks.
Tools
Seats, plans, add-ons, and open alternatives.
Architecture
Caching, batching, routing, context, and agents.
Visibility
Attribution, budgets, and operational alerts.
Process
A short audit followed by verifiable decisions.
Remote and async-friendly work across any time zone.
- 01
Instrument
Set up attribution with the logs or gateway you already use.
- 02
Audit
Map workloads, contracts, and tools against cost and required capability.
- 03
Prioritize
Rank actions by savings, effort, and risk in a written report.
- 04
Implement
Apply changes with your team or ours and evaluate real outputs.
- 05
Maintain
Optionally review the stack as models and prices continue to change.
Origin
This service comes from operating these tools, not reselling one of them.
Our work runs through Copilot, Claude Code, Codex, OpenCode, and local models: each where it fits, none of them everywhere.
We build production AI systems and apply the same cost discipline used in Darwin, our construction estimation platform.
Explore Darwin, our construction estimation platform Read: The Right Tool for the Right Job ↗FAQ
Before we review the first invoice.
Why is my AI bill so high?
Premium models used by default, overlapping subscriptions, inefficient architecture, and poor attribution usually accumulate. The audit separates each cause.
How much can we save?
It depends on your current workloads, contracts, and architecture. We establish a baseline and provide a supported figure before proposing implementation.
Is this only about using cheaper models?
No. Providers, tools, caching, batching, context, routing, and visibility can matter as much as model selection.
Do we have to switch providers?
Not necessarily. Many savings come from using current providers better. When another option fits, the change remains contained and reversible.
Will quality drop?
Every change that could affect results is evaluated against real tasks. If the cheaper option performs worse, it is not implemented.
Do you review AI embedded in other software?
Yes. The review includes higher tiers, add-ons, and AI features inside software you already use.
First step
Send us one month of invoices. We will show you which questions are worth answering.
A remote audit in English or Spanish, ending in a written roadmap ranked in dollars.
Book a cost audit