AI you can check.
Models are getting smarter and cheaper every month. What they don’t know is your business. We build agents that learn it one job at a time, and show their work on every case, so you can check it.
Kessler Hose & Fitting1180 Industrial Pkwy · Dayton OH
Invoice
- 3/4" hydraulic hose, 50 ft40$1,120.00
- JIC fittings, 3/4"120$576.00
How we think about AI
Intelligence is getting cheap. Trust isn’t.
Every few months the models get better and cheaper. What doesn’t come in the box is your business: your suppliers, your exceptions, the way your team decides when something looks off. That is where AI either earns its keep or makes expensive mistakes quietly.
So we never start with a model. We start with a job: one task your team does today, with a right answer we can check against your own history. The intelligence in our system is three things working together: the model, the rules your team has taught it, and the record of every case it has handled. Models change. The rules and the record are yours, and they compound.
And autonomy is earned, not switched on. An agent starts by suggesting, moves to acting with your approval, and runs on its own only when its record says it should. Job by job, never all at once.
- The modelChosen per job, re-tested when a better one shipsreplaceable
- Your rules214 rules your team taught it, one answer at a timeyours
- Your record14,208 cases handled this month, each one traceableyours
- SuggestsA person decidesWeek 1
- Acts with approvalA person checks each caseAfter the proof run
- Acts and reportsA person reviews exceptionsWhen the record says so
Invoice agent today: acts and reports. Supplier replies: acts with approval.
- 01Start with a job, not a model.
- 02Your rules and your record are the asset.
- 03Autonomy is earned.
- 04Every decision leaves a trail.
Each agent does one job. You see all of it.
That starts with a narrow job: one task your team does today, with a right answer we can check. An agent reads from your systems and does a defined task. When it isn't sure, it doesn't guess: it asks your Cornermark lead or you. Your answer becomes a rule, so it never asks the same thing twice.
- Every decision logged
- A person approves anything new
- Switch any agent off in one click
- handled without asking
- 96%
- documents this month
- 14,208
- re-keyed by your team
- 0
Proof on your past cases, before anything goes live.
Trust is earned before go-live, not after. We run the agent on work your team already did and compare its answers to theirs. You set the accuracy bar. If it falls short, it doesn't go live, and you don't pay for go-live.
Proof run · Invoice agent
- past cases
- 200
- matched your team
- 192
- accuracy
- 96%
8 misses, each explained
- 5Freight split across two linesrule added
- 2Credit note read as invoicerule added
- 1Handwritten PO numberstays with a person
Above your bar: approved for go-live
You see every run.
And it stays earned: every case leaves a trail. Every run is logged: what the agent read, what it decided, and what it cost. You can open any one and follow it step by step. The cost of each case is tracked from day one.
Open any run to follow it step by step.
Run log · today
- ReadINV-20481 from the AP inbox, PO 7731 and goods receipt GR-5520 from NetSuite
- DecidedAmounts, quantities and supplier match on all three. Freight split by your rule. Posted to NetSuite.
- Cost$0.04 · 3 documents read, fast low-cost model
- ReadINV-20480 from the AP inbox. Supplier not in your vendor list, no matching PO.
- DecidedNot sure, so it didn't guess. Asked your lead to confirm the supplier.
- Cost$0.03 · 1 document read, stopped before posting
- ReadSales order SO-11902 and shipment 4410 from Shopify
- DecidedAll 14 lines shipped in full. Order marked matched.
- Cost$0.06 · mid-size model
- ReadEmail from a supplier asking when invoice 7314 will be paid
- DecidedFound the payment run date and drafted a reply. Waiting for your approval to send.
- Cost$0.11 · frontier model
- Read41 software bills from the last month and the seat lists of 6 tools
- Decided2 seats with no sign-in in 60 days. Flagged for your review, nothing cancelled.
- Cost$0.90 · weekly run, frontier model
The right model for each job.
The model is the replaceable part, so we choose it like any other cost. We test the leading models on your own cases and pick per job. Not on price per call, but on what each case really costs you: the model plus the time your team spends fixing its misses.
- AnthropicClaude Opus · Sonnet · Haiku
- OpenAIGPT · GPT mini · o-series
- GoogleGemini Pro · Flash
- DeepSeekDeepSeek (open)
- MistralMistral Large · Small
Model economics · Supplier replies
Tested on 120 of your past emails · 900 replies a month
| Model | Accuracy | Model cost | Fixing misses | Cost per reply | Per month | chosen |
|---|---|---|---|---|---|---|
| Claude SonnetAnthropic | 97% | $0.06 | $0.12 | $0.18 | $162 | chosen |
| Claude OpusAnthropic | 98% | $0.22 | $0.08 | $0.30 | $270 | chosen |
| GPTOpenAI | 95% | $0.09 | $0.20 | $0.29 | $261 | chosen |
| Gemini FlashGoogle | 91% | $0.01 | $0.36 | $0.37 | $333 | chosen |
| Llama (open)Meta | 86% | $0.004 | $0.56 | $0.56 | $508 | chosen |
Illustrative figures from a typical engagement. Fixing a miss takes about 6 minutes at $40/h: $4 a miss.
Your systems stay where they are.
Your rules and your record live in your systems, not ours. We connect read-only to what you run, and deliver the work into the tools your team already opens.
What we read
- QuickBooks
- Xero
- NetSuite
- Stripe
Plaid · your bank
- Shopify
- HubSpot
- Salesforce
Where your work lands
- Google Sheets
- Google Docs
- Google Drive
- Slack
- Notion
- Looker
- Power BI
- BigQuery
Systems we connect
A sample, grouped by what it does.
Accounting & ERP
- QuickBooks
- Xero
- NetSuite
- Sage Intacct
- Microsoft Dynamics
- Acumatica
- SAP Business One
Banking & payments
Plaid · your bank
- Stripe
- Square
- PayPal
- Bill.com
- Ramp
- Brex
Sales & commerce
- Shopify
- HubSpot
- Salesforce
- Amazon Seller
- WooCommerce
ShipStation
- Faire
Operations & people
- Gusto
- ADP
Rippling
- Fishbowl
- Cin7
- Asana
- Jira
Where your work lands
- Google Sheets
- Google Docs
- Google Drive
- Excel
- Slack
- Notion
- Power BI
- Looker
Data
- BigQuery
- Snowflake
- Postgres
- Databricks
- S3
- Fivetran
Not on the list yet.
Don’t see yours? If it has an API or an export, we connect it.
No connector? We build one.
Plenty of the systems that run a business never made it onto anyone’s integration list: an older ERP, a supplier portal, a nightly export file. We build a read-only connector for it, test it on your real data, and monitor it like the rest.
- Map itAPI, database or file export (CSV, SFTP, EDI)
- Build it read-onlyIt reads from the source and changes nothing there
- Test it on your dataNumbers checked against your reports
- Monitor itWith an alert if it stops or the numbers drift
- Last sync
- 02:00
- Rows
- 3,412
- Checks
- passed ✓
- Row count matches the export
- Totals match your trial balance
- No new columns since last night
Scoped and priced up front, like everything we do.
Your data, handled like it's ours to lose.
Which is why we read only what a job needs, log every access, and never let a model train on your data. Six questions every owner asks, answered plainly.
We connect read-only. Data is encrypted in transit and at rest, in a named cloud region.
Only the named people on your engagement. Every access is logged.
No. We use providers' business services, whose terms bar training on your data.
For the engagement plus a stated period, then it's deleted. Ask for deletion any time.
You can switch off our access in one step, and every agent action is in the run log.
Yes. Open any run: what it read, what it decided, what it cost.
Sensitive data, case by case
Health data (PHI)
We don't touch patient records until a Business Associate Agreement is signed and the work runs on HIPAA-eligible infrastructure. Until then, we work on de-identified data.
Payment card data
Card numbers never enter our systems. We read settlements and payouts, never the cards themselves.
Personal data (GDPR / CCPA)
We process it only for your engagement, honour deletion requests, and keep a list of every subprocessor.
Financial records
Read-only access, every read logged, retained only for the engagement.
Put agents to work in your business.
Workflow automation
One workflow, automated and proven on your past cases before it goes live.
Managed agents
Agents we run and watch for you, month to month, with every run logged.
AI cost tracking
What every model, seat and tool costs you, per process and per case.