We don't trim waste after the fact. We architect systems that refuse to generate it. Every engagement starts with an audit — and the savings we surface are designed to fund the build.
The Doctrine
Forward Subtraction
You were never supposed to pick the model. Efficiency isn't a feature — it's the floor. Every task routes through the leanest capable model automatically, before the call, before the bill.
Before the call: the router picks the cheapest capable model. During the call: cache, batch, and semantic hits absorb repeats. After the call: the meter writes the receipt. No dashboard required.
92–96%
Cost reduction vs. standard inference
12–25×
Cheaper for equivalent output
97–98%
Asymptotic floor on repeat + batch workloads
The six pillars
01RepetitionDon't pay twice.
02CapabilityDon't pay heavy for light.
03LocationDon't pay cloud for local.
04TimeDon't pay live for non-urgent.
05GroundingDon't pay reasoning for retrieval.
06VolumeDon't ship tokens you don't need.
Engagements
What we do
Audit
Entry
01
TITAN LightScan
The entry audit. The foot in the door.
Surface scan of your AI stack: settings optimization, token waste estimate, code and automation hygiene, top-priority fixable risks. Includes a Loom walkthrough and a short review call. Designed to convert cold prospects in one call.
"If we don't identify documented annual savings of at least 3× the audit fee, you pay nothing."
AI/token waste estimate across your vendor stack
Settings optimization recommendations
Top-priority fixable risks with implementation notes
Loom walkthrough + 30-min review call
Token AuditAI StackCost ReductionQuick Turnaround
Audit
Comprehensive
02
TITAN Deep Audit
Full Profit Flywheel. Complete AI/token tear-down.
Complete AI and token tear-down: prompt rewrites, model-substitution recommendations, vendor consolidation map, and threat surface report. Ships with an implementation roadmap and a free first month of ongoing monitoring.
"Same 3× savings guarantee. If the savings aren't there, the engagement is free."
Full AI/token cost tear-down across all vendors
Prompt rewrites and model-substitution recommendations
Vendor consolidation map
Threat surface report
Implementation roadmap + free first month of Watch
Full AuditPrompt EngineeringVendor ConsolidationSecurity
Retainer
Monthly
03
Token Architect AI
Live token-cost watching across your AI vendors.
Live token-cost monitoring across OpenAI, Anthropic, Google, OpenRouter, Zapier AI, and more. Monthly prompt-compression review, model-routing tuning, alerting on cost spikes, and fine-tune candidate identification. Built on the QLoRA-finetuned Token Architect AI model.
Deploy the SubtracToken Router v0.4 into your infrastructure: FastAPI multi-provider routing, budget enforcement, optimization pipeline, savings API, rate limiting, and license enforcement. Includes the Step Zero Gate pre-execution decision engine for agentic workloads.
FastAPIRouter DeploymentBudget EnforcementAgentic AI
Consulting
Engagement
05
AI Architecture Review
System design for AI-native applications.
Structured review of your AI system architecture: inference routing strategy, safety gate design, self-correcting pipeline patterns, audit chain implementation, and cost modeling. Delivered as a written architecture document with implementation recommendations.
Inference routing strategy review
Safety gate and pre-execution check design
Self-correcting pipeline pattern recommendations
Written architecture document with implementation roadmap
ArchitectureSystem DesignSafetyAI Ops
Retainer
Strategic
06
Fractional AI Operator
Strategic operator on call. High-margin, capacity-bound.
Monthly strategy, vendor evaluation, prompt library curation, team training, and quarterly reviews. For clients who have outgrown productized retainers and need a strategic AI operator embedded in their decision-making. Limited concurrent engagements.
Monthly AI strategy and vendor evaluation
Prompt library curation and team training
Quarterly architecture and cost reviews
Priority access and direct operator availability
FractionalStrategyTeam TrainingHigh-Touch
How it works
Recon → Audit → Build → Defend
01
Recon
We map your current AI stack, vendor relationships, token consumption patterns, and cost exposure before the first call. You don't fill out a form — we do the work.
02
Audit
LightScan or Deep Audit depending on scope. Every audit ships with a documented deliverable, a Loom walkthrough, and a client-facing PDF. The savings we surface are designed to fund the next phase.
03
Build
Implementation of the recommendations. Router deployment, prompt rewrites, architecture changes, or a full system build — scoped to what the audit found, not what we want to sell.
04
Defend
Ongoing monitoring, cost alerting, and monthly reviews. The audit pays for the build. The build pays for the defense layer. The defense layer keeps the savings compounding.
