Proof
The same software, before and after intelligence.
Real engagements anonymized. Concepts labeled as concepts. Every number typed and sourced.
How a click-heavy, 15-year-old field-service SaaS gets an in-product copilot: one intent sentence, a grounded draft, human approval, and a product that finally feels current.
5 to 1
Screens to log one work order
How a property claims operation turns a folder of unsorted phone photos and a 62-page policy into a structured damage assessment: every line citing the photo it came from, the coverage clause quoted, uncertain lines flagged, and an adjuster approving before anything moves.
32.4 days
Average property claim, filing to finished repairs
How a parts distributor replaces the morning RFQ pile and the three-system price hunt with a copilot that extracts every line item, prices it from the company's own item master and contracts, checks stock, and drafts the reply, with a rep approving every quote before it leaves.
60-70%
Share of routine admin work generative AI can absorb
How a staffing team buried in applications gets an AI screen that reads and ranks every candidate against the real job criteria, surfaces the people a keyword filter would miss, and logs every decision, while a recruiter advances or declines each one and nothing is rejected automatically.
~11,000/min
How a direct-to-consumer brand stops being dropped from AI shortlists: price, stock, and terms published as facts a machine can read, one source of truth behind the page and the feed, and a person keeping the authority over what any agent is allowed to transact.
$300-500B
US agentic commerce by 2030
How a six-location local brand goes from invisible in AI answers to the source they cite: pages that answer real buyer questions, one set of facts every machine can read, and a monthly probe run that proves whether any of it worked.
6% to 45%
Consumers using AI tools to find local businesses
How a mid-size accounting firm replaces month-end re-typing with a document engine: statements in, structured records out, every figure flagged or approved by a person.
Re-typing to review only
How a physiotherapy group turns paper intake, re-typed SOAP notes, and manual claim entry into one reviewed flow: the patient's own words become the record, and a clinician approves every step.
2x entry to zero re-typing
How a multi-location restaurant group hands its nightly admin, booking changes, review replies, and inventory counts, to an assistant that drafts and forecasts, with a manager approving before anything goes out or gets ordered.
60-70%
Share of routine admin work generative AI can absorb
How a growing direct-to-consumer brand turns manual product-page writing and a full support queue into an assistant that drafts product pages from specs in the brand voice and drafts support replies grounded in policy and order data, with a person approving every publish and send.
60-70%
Share of routine admin work generative AI can absorb
How a small-to-mid lender replaces manual document collection and spreadsheet underwriting with an engine that extracts every borrower document, drafts an underwriting memo with each figure linked to its source page, and flags exceptions, with an underwriter approving every decision.
$200-340B
Annual value generative AI could add to banking
How an HVAC and plumbing company replaces a manual dispatch board and phoned-in quotes with an assistant that drafts a priced quote from a job description, proposes an optimized slot, and texts the customer, with a dispatcher approving each one.
60-70%
Share of routine admin work generative AI can absorb
How a mid-size property management company turns a flooded maintenance and tenant inbox into a copilot that classifies each request, drafts a grounded reply, and proposes a vendor, with a person approving every send.
60-70%
Share of routine admin work generative AI can absorb
The 14 work surfaces inside almost any business software, and what each becomes with AI. A practical map for spotting your own quick wins.
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