AI solutions by industry, for the work your team still does by hand
We build custom AI agents for 17 sectors, from banks and law firms to universities and contractors. Each industry page shows the workflows we take on in that sector, a drawn sample run, and who on your side approves what the agent does.
Sector not listed? Bring the workflow to the discovery call.
- Bank reconciliations, close files and tax workpapersAccounting
- KYC checks, AML alert cases and loan filesBanking
- Data room review with page citationsPrivate equity
- Quote intake, renewals and certificatesInsurance agents
- Claim checks, denials and payment postingHealthcare
- Contract review against your playbookLawyers
- Subcontract review, submittals and pay applicationsConstruction
- Maintenance triage and tenant questions after hoursProperty management
Each job opens its industry page, with a drawn sample run of that workflow.
Clients include
Every sector we build AI for, in five groups
Sectors in the same group share the same constraint: a figure that needs its source, a record that needs a qualified sign-off, or a commitment that lands in your ERP. Each page names the workflows, the approver and where the system runs.
Banks, deal teams, funds and insurance agencies, where every figure traces to its source and an analyst, partner or licensed producer approves the decision.
- BankingKYC checks, AML alert cases and loan files, with an analyst approving every decision.
- Investment bankingComps spread from filings, CIM drafts and model checks, each figure traced to its source page.
- Private equityDeal screening, data room review with page citations and portfolio KPI packs, in your own cloud.
- Venture capitalInbound decks screened against your thesis, diligence checks and draft LP letters.
- Insurance agentsQuote intake, renewals, certificates and claims intake, with a licensed person approving coverage.
Firms that bill for expert time. The agent drafts, and a qualified person signs off before a client sees it.
- AccountingBank reconciliations, close files and tax workpapers, with an accountant signing off.
- LawyersConflict checks, contract review against your playbook and pre-bills.
- Consulting firmsProposals, research and decks drafted from your past engagements.
- HR and staffingResumes into your ATS, interview scheduling and timesheets, with a recruiter deciding on every candidate.
Patient and student records, where the agent sees only the fields a task needs and staff approve every change.
Contracts, orders and work orders that land in your ERP or property system, with your team approving every commitment.
Product data, support tickets and published content, prepared by an agent and approved by the person who owns it.
Four systems in production, four different businesses
Each figure is the one its case page reports. The label is the business as its case page describes it.
IES Limited reads its full MI pack every working day
A system reads all 25 pages of the daily MI pack and tells the people who need to act what moved, before noon.
Read the IES Limited casePinkcube answers business buyers after hours
The after-hours agent answers in Dutch or English, checks live order status and files a sorted HubSpot ticket when it cannot help.
Read the Pinkcube caseAptus AI's supplier invoices reach its books through one pipeline
The pipeline collects each invoice wherever it arrives, picks the tax path and registers it in Fatture in Cloud, leaving the accountant one review. It has run since November 2025.
Read the Aptus AI caseThree rules every industry build follows
The workflows change from sector to sector. These three controls appear on every industry page.
A named person approves what the agent does
An analyst in banking, a licensed producer in insurance, a biller for anything sent to a payer, a partner before a client sees a draft. The agent prepares the work and waits.
See how approval gates workRead before you pick a first workflow
Guides for any sector on where AI pays off, what your people need, and what changes once an agent runs in production. To rank your own candidates, use the AI use case canvas.
What teams ask about AI for their industry
Ask us something elseWhich industries do you build AI for?
The 17 on this page, in five groups: financial services, professional services, healthcare and education, industry and property, and commerce, software and media. Each industry page lists the workflows we take on in that sector.
Our industry is not listed. Can you still help?
Bring the workflow to a discovery call. A senior partner tells you on the call whether it fits, and scopes the build if it does.
Do you sell ready-made software for our sector?
No. Every system is a custom build on your data and in your systems, on the platform that fits the job. The industry pages show the workflows other teams in your sector start with.
Who approves what the agent does?
Someone on your team, named during scoping: an analyst in a bank, a licensed producer at an insurance agency, an accountant at a firm, an editor at a publisher. Our governance page shows how the approval gates work.
Who runs the system after launch?
The engineers who built it, in weekly sprints that you direct, with error alerts going straight to them. See AI managed services.
Where should we start?
With the workflow that has the most volume and the clearest rules. If you already know which one, book a discovery call. If you have several candidates, the AI Audit ranks them by value, effort and risk over 4 to 8 weeks and ends in a 90-day roadmap. It costs $10,000 to $100,000 depending on scope, and the fee is credited toward your first build.