Loading
just now
Fetching this week's AI signals…
Filtered for what a CMO, CFO, or business owner needs to know — model releases, enterprise adoption, regulation, AI-ROI research.
Performance OS · Private beta
Performance OS for mid-market companies.
Ordumo is a Performance OS for mid-market companies that identifies operational gaps and uses AI-assisted workflows to improve cost, productivity, and growth. We benchmark your business across 30 metrics in 6 areas, deploy the AI workflows that close the gaps, and operate the monthly loop that proves what worked. Plain English. Real numbers. No deck-ware.
2-week diagnostic
·
Monthly cadence of measured outcomes
·
Fixed scope & price
Ordumo/benchmark · live
Your performance vs AI tools alone
RECORDING
AI tools alone
With Ordumo
What we score
30 metrics
What you get
Plain-English
fix-list
fix-list
How fast
2 weeks diagnostic
The Signal · weekly AI brief
What moved in AI this week.
Loading…
Our 4 products
4 products.
One playbook for every team.
Each product is a complete AI performance audit for one part of your business — marketing, finance, knowledge work, or e-commerce. Same method, four mandates. Pick the one your board cares about most and start there. Each card shows the playbook MarCo, QuantSage, Lumina, and Commerza follow.
M.
Live
MarCo
For Marketing teams · CMOs
Marketing performance product. Identifies operational gaps across Visibility, Demand, Execution, and Planning hubs; uses AI-assisted workflows to improve cost, productivity, and growth. Live with RED2 Digital agency: $2.98M/yr across 13K campaigns and 26 client accounts.
Connects to
GA4 · HubSpot · SEMrush · Marketing Cloud
Q.
Beta
QuantSage
For Finance teams · CFOs
Finance and investment performance product. Identifies financial operational gaps against industry-matched peer cohorts; uses AI-assisted workflows to improve CFO/CEO/Strategy team productivity. 5,154 stocks indexed with SEC Company Facts.
Connects to
NetSuite · QuickBooks · Excel · Snowflake
L.
Beta
Lumina
For Knowledge teams · COOs
Knowledge and learning performance product. Identifies knowledge operational gaps (time-to-retrieval, decision quality, SOP currency); uses AI-assisted workflows to lift COO/CHRO/L&D team output. Knowledge graph + spaced-repetition + concept-drift scoring.
Connects to
Notion · Confluence · SharePoint · Slack
C.
2027
Commerza
For Commerce teams · DTC
Commerce performance product. Parked until 2027. Will identify operational gaps in catalog health, pricing, reviews, and SKU-level conversion.
Connects to
Shopify · BigCommerce · Klaviyo · Merchant Center
Where we fit
ChatGPT runs the task.
Ordumo runs the playbook.
ChatGPT, Claude and Manus are great at doing the work. They cannot tell you which work is worth doing first, which fix will move your numbers, or whether what you shipped last month is paying off. That's the layer we own.
01 What to do · Ordumo
Decide what to fix first.
We measure your business across 30 signals, compare you to 30+ similar companies, find what's costing you the most, and tell you exactly what to fix — ranked by ROI, effort and risk. Strategy with receipts, not a slide deck full of opinions.
Our 4 products · MarCo · QuantSage · Lumina · Commerza
02 How to do it · Partners
Tools that route, automate, execute.
This is where your existing AI tools shine. Notion AI, Manus, Zapier, n8n route tasks, connect systems and automate work. They're great at how. They just don't know what matters most or whether it's working.
Partners we work with · Brainlabs · Notion AI · Manus · Claude for Business · Zapier · n8n · Make
03 The engine · Foundation models
The AI itself. Raw horsepower.
The big foundation models from Anthropic, OpenAI and Google. Incredible capability — but they have no opinion on which part of your business to change. Indispensable plumbing. Not a strategy.
The substrate · Anthropic · OpenAI · Google Gemini · Local models
The results
Same company. Same AI tools.
Different outcome.
The flat line is what most companies see — they bought more AI seats and waited. The curve is what happens when an operating system measures, deploys, and re-measures every 30 days. By month 4, the gap is the story your board hears at the next QBR.
Sample output · what an engagement looks like
What we measure
30 metrics across 6 areas
Who we compare you to
30+ similar companies
How we rank the fixes
ROI × risk × effort
How often we re-measure
Monthly evidence loop
How it works
3 steps.
Then we repeat & compound.
Every engagement runs the same three steps on a monthly rhythm. Each round adds to a track record of what worked — so the next benchmark is sharper than the last. This is why results build instead of fade.
01
Benchmark — we measure
2 weeks. $15K. We score your business across 30 metrics, compare you to similar companies, and rank what to fix first.
2 weeks
02
Deploy — we install the fix
Your team or ours builds the priority fixes. Every change is tied to a specific number we're trying to move.
Build window
03
Operate — we prove it works
Monthly. We re-measure, compare to peers, log what moved the needle, and ship a 1-page board brief every quarter.
monthly
Inside a benchmark
30 numbers.
6 areas. One ranking.
Every benchmark scores your business on the same 30 metrics and compares you to 30+ similar companies. Green bars show where you rank. The cyan markers show where the average peer sits. No vague recommendations. No PDFs full of platitudes.
The full framework
All 30 metrics. Every benchmark scores all of them.
Every engagement runs the same 30-metric framework across 6 areas. No "we'll figure out what to measure" — the framework is fixed, so engagements compare like-for-like.
30
metrics · 6 areas
01
Visibility & reach
5
- Brand visibility
- AI search citation rate
- Branded search volume
- Share of voice
- Sentiment score
02
Production velocity
5
- Workflow cycle time
- Approval & rework delay
- Output per FTE
- Content velocity
- Time to ship
03
Operating cost
5
- Output per dollar
- AI tooling spend
- Headcount cost ratio
- Vendor consolidation
- Cost per AI workflow
04
AI & data readiness
5
- Schema completeness
- Data freshness
- Model fit-for-purpose
- Integration coverage
- Privacy posture
05
Governance
5
- Policy coverage
- Audit-trail completeness
- Risk score
- Compliance posture
- Vendor risk coverage
06
Decision quality
5
- Decision-to-action latency
- Recommendation outcome rate
- Knowledge half-life
- Retrieval accuracy
- Forecast accuracy
Sample readiness scorecard · illustrative
How AI-ready is your business?
We score your business across six readiness areas and compare it to similar companies. Cyan = the average peer. Green = where you sit. The gaps become your prioritized fix plan, evidence-backed.
Operations readiness One of six readiness areas
High
scored against peers
Content & schema One of six readiness areas
High
scored against peers
Governance One of six readiness areas
Gap
becomes a fix
Average peer
Your business
Pricing
Fixed prices.
No surprise invoices.
Three steps, three fixed prices. No estimated-hours math, no procurement marathon. You see the number before you see a pitch deck.
Step 1 · Measure
Benchmark
$15K–$30K
2-week diagnostic
- Score across 30 metrics
- Rank vs. similar companies
- Prioritised fix list
- Evidence-backed findings
Step 2 · Build
Deploy
$10K–$30K
Build window
- Buildable spec for your team
- Evidence-backed delivery plan
- Internal or partner build
- Every fix tied to a metric
Step 3 · Prove
Operate
$5K–$15K/mo
Monthly rhythm
- Monthly re-measurement
- Track record of what worked
- Quarterly board-ready brief
- Cancel anytime
Book a $15K benchmark.
See where your AI is leaking in 14 days.
2 weeks. 30 metrics. A ranked fix-list. If we can't find at least one fix worth its fee, we credit the engagement against Step 2. Plain English. Real numbers. On the record.