/ AGENT OPS CONSOLE
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ENTERPRISE // AGENTIC OPERATIONS // v4.7

Watch a workforce of AI agents run your business — live.

A simulation of how autonomous agents handle the work that fills the inboxes, spreadsheets, and slacks of every information worker in the enterprise. Click any capability to inspect its flow, the products that power it, and the headcount it replaces.

AGENTS · ACTIVE
142
+12 last hour
TASKS · COMPLETED 24H
28,431
+18.4% wow
HOURS · SAVED MTD
9,712
~58 FTE displaced
USD · SAVED MTD
$912,440
vs. manual baseline
● AGENT-7842 · invoice-batch · 412 / 500 processed ● AGENT-1109 · cron · daily-pl-report scheduled 06:00 ● AGENT-3301 · browser · scraping competitor pricing 14 SKUs ● AGENT-4521 · delegation · 6 sub-agents spawned for market scan ● AGENT-9001 · mcp · syncing salesforce → snowflake ● AGENT-2210 · code-exec · pandas pivot on Q3-finance.xlsx ● AGENT-7842 · invoice-batch · 412 / 500 processed ● AGENT-1109 · cron · daily-pl-report scheduled 06:00 ● AGENT-3301 · browser · scraping competitor pricing 14 SKUs ● AGENT-4521 · delegation · 6 sub-agents spawned for market scan ● AGENT-9001 · mcp · syncing salesforce → snowflake ● AGENT-2210 · code-exec · pandas pivot on Q3-finance.xlsx
PART 01 · CAPABILITY DIRECTORY · 13 / 13

Every capability, every business workflow,
simulated end-to-end.

Each card below runs a continuous simulation of a real information-worker task. Click Show Flow to render the agent's execution path, click How it works for an engineering deep-dive, and review the line-item ROI versus a salaried employee doing the same work.
PART 02 · SMALL BUSINESS PLAYBOOK

Same agents.
Different scale. For 5–50 person teams.

The 13 capabilities above are the building blocks. Here's what they look like applied to the daily work that piles up in every small business — the inbox, the leads list, the bill stack. Same trigger. Same live execution. Same before/after review. Sized for the work in front of you.

SMB · MANUAL TOTAL
$0
/ month, fully loaded
SMB · AGENT TOTAL
$0
/ month, all-in
NET SAVINGS / MONTH
$0
across 3 workflows
REAL-WORLD TRANSLATION
≈ one part-time hire's salary, freed up to do actual growth work.
PART 03 · ROI MODEL

What it costs when humans do this work, and what it costs when the agents do.

MANUAL · MONTHLY
$0
Total fully-loaded cost of an info-worker team performing all 13 workflows below at typical US compensation rates.
AGENT FLEET · MONTHLY
$0
All-in cost: model inference, orchestration, observability, and human review for the same workload.
SAVINGS · MONTHLY
$0
Annualized: $0. Excludes second-order gains (speed, throughput, error reduction).
CAPABILITY
MANUAL HRS / MO
MANUAL $
AGENT $
DELTA

ASSUMPTIONS · Fully-loaded info-worker cost $85/hr (salary + benefits + overhead). Agent cost includes Claude / GPT inference, vector storage, orchestration platform, and 8% human-in-loop review. Figures are illustrative for simulation purposes.

PART 04 · LIVE FLEET

A glimpse at the operations console your team would actually run.

~/agents/orchestrator $ tail -f run.log
FLEET LOAD · 60s WINDOW
P50 LATENCY
412 ms
P99 LATENCY
2.10 s
SUCCESS RATE
99.41%
HUMAN ESCALATIONS
0.59%