Automation ROI Dashboard

Real impact from
real systems

200+ Google Workspace engagements delivered, plus measurable time, cost, and token savings from 10+ production systems. Every number backed by real delivery records or code.

~0h
Hours saved / month
$0.0K
Cumulative savingsincl. Apr-Jun 2026 projection
0+
Systems shipped

Delivered at scale

Workspace Migrations
200+
M365, IMAP, Gmail, Yahoo -> Workspace, 2016-2026
Shared Drive Blueprints
97+
Governed access, Google Groups, zero data loss
Advanced Workspace Audits
22+
Admin, security, deliverability, license usage

AI & automation engineering

API Cost Reduction
97%
$108/mo to $3/mo
Training Design Time
96%
8 hours to 20 minutes
Token Cost Savings
40-50%
Thinking budget optimization
Predictable LLM Bill
$0.55/mo
Was credit-dependent · now locked
Server-Side Search
99%
35K lines to 300 per read

Where the savings come from

Cumulative Cost Savings
Oct 2025 -- Jun 2026 (Apr-Jun projected)
Projected months extend the established +200 hrs/mo ramp from Feb-Mar.
Infrastructure Cost: Before vs After
Monthly spend comparison
Monthly Hours Saved by Project
Estimated recurring time savings
Time per Task: Before vs After
Minutes per operation

Token optimization techniques

TechniqueSavingsHow it worksApplied to
Thinking Budget Control40-50%Disabled thinking tokens on structured JSON callsJob Agent, AI Orchestrator
Transcript Trimming8-25K tokens/callCapped document reads at 20K chars, video transcripts at reasonable limitsAI Orchestrator
Model Downgrade97% costFlash produces identical quality at 1/4 price, 3x fasterAI Orchestrator, Job Agent
Cached Digest30-60s per requestFirestore-cached action digest, refreshed every 30 minAI Chat Bot
Tiered Provider Fallback$0 baseline, $0.05/day worst caseFive-layer chain: gpt-oss-120b:free → paid retry → llama:free → Gemini (daily-capped at 100) → keyword. Never one degraded provider away from a bill spike.Crypto Agent, AI Orchestrator, Hermes
Cache & Dedup at Source5x calls cut, 50% prompt tokensSame input × identical output × N calls = N-1 wasted dollars. Memoize analyses by content hash, dedup repeating tool outputs before the model sees them. Sentiment went 91 calls/hour to 24; digest prompts shed half their size.Crypto Agent, AI Orchestrator, Hermes
Model Tier per DispatchUp to 50x per callHaiku ($0.30/Mtok) for bulk grep, Sonnet ($3/Mtok) for routine code, Opus ($15/Mtok) only for spec and audit. Don't pay Opus rates to grep 50 files.AI Orchestrator, Job Agent, Crypto Agent

Impact per system

L&D Automation
AI Training Content Generator
8 hrs to 20 min
~92h/mo saved · 3x/week
AI Agent Platform
Command Center Dashboard
6 sources, 1 view
~40h/mo saved · 20x/week
AI Assistant
AI Chat Bot (Google Chat)
18 tools, instant
~30h/mo saved · 30x/week
SaaS Platform
Job Agent
AI proposals in 2 min
~23h/mo saved · 15x/week
Automation
n8n Workflow Orchestrator
4,300+ workflows
~20h/mo saved · 5x/week
Workflow Automation
Training Rollout System
30 min to 2 min
~18.7h/mo saved · 10x/week

The optimization playbook

01
Model Selection
Match model capability to task complexity. Flash for structured output, Pro only when reasoning depth is critical. 3x faster, 97% cheaper.
02
Token Budget Control
Disable thinking tokens on deterministic tasks. Cap input lengths. Trim transcripts before sending. Saves 40-50% on output tokens.
03
Caching & Lazy Loading
Cache expensive computations in Firestore. Load ChromaDB on first query, not at startup. 200MB memory saved, instant responses.
04
Code-Level Enforcement
Enforce limits in code, not prompts. Deterministic truncation, output validation, bounded pagination. Predictable cost, zero drift.