AI for every industry.
What AI can do in your trade: the work it takes on, the systems it connects to, the rules that apply and where a person stays in charge. We build for any industry; these are the ones we’ve written up. See what we build.
Every industry.
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Adding AI features to a SaaS product: evals and safety
What a B2B SaaS team should build before an AI feature reaches customers: release gates, tenant isolation, defenses against hostile content, usage metering, fallbacks and limits on agents.
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AI agents for property management: leasing to repairs
What an AI agent can safely do for residential and commercial property managers, from leasing inquiries to emergency repairs, and which rules belong in code instead of a prompt.
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AI agents for real estate: use cases, limits and setup
What an AI agent does for brokers, developers and property managers in the US, the UK and Dubai, how it differs from a chatbot, what it must never do, and how to start.
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AI customer support: setup, handover rules, metrics (2026)
How to set up AI customer support that resolves real questions: the four modes, handover rules written as code, what the Air Canada chatbot ruling teaches, and metrics with clear definitions.
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AI for accounting firms: use cases and sign-off (2026)
Where AI saves accounting firms and finance teams the most time, from client document collection and invoices to month-end and tax research, and how to keep every figure accurate enough to sign.
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AI for call centers and BPOs: voice, QA and agent assist
What AI does for operators that run queues for many client brands: scoring every call, assisting agents inside each client’s tools, and voice agents for narrow call types, with every client’s data kept apart.
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AI for consulting firms: proposals and knowledge
What AI does well for firms that sell knowledge: proposal drafts from past wins, expert finding, cited search over past work, and the walls and checks that keep client trust.
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AI for franchises: franchisee support and lead agents
What a franchisor’s head office can safely automate: an operations-manual assistant, FDD-grounded prospect answers, local lead routing and unit reports, and who answers for what.
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AI for insurance brokers: use cases and rules (2026)
How brokers and MGAs use AI on submissions, quotes, renewals and client questions, where claims and underwriting fit in, and the rules that apply to AI in insurance.
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AI for law firms: use cases, rules and an AI policy (2026)
What AI does well for law firms, which kind of AI fits which legal task, how to stop fake citations, what the SRA and ABA rules say, and what a firm AI policy should cover.
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AI for logistics companies: use cases and first steps
Where AI pays off in freight, 3PL and distribution today, where a language model is the wrong tool, how to measure it, and a 90-day plan for the first project.
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AI for manufacturing companies: mid-size plant use cases
Which AI projects pay off first for small and mid-size manufacturers, what each needs to connect to, where a person stays in charge, and how EU and OT security rules apply.
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AI for sales teams: use cases, setup and metrics
What an AI sales agent is, the kinds of sales AI and when each fits, how to run a pilot, which numbers to track, and where salespeople still win.
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AI for solar companies: leads, proposals and O&M (2026)
Where AI pays off for solar installers, EPCs and operators, from answering leads in minutes to catching failing inverters early, with results from systems in production and the rules to know.
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AI for wholesale distributors: orders, quotes and ERP
How mid-size distributors on an ERP can use AI for email and PDF order entry, part-number matching, quotes within approval limits, backorder updates, and a measured exception rate.
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AI in construction: use cases, risks and first steps
What AI does for contractors, developers and consultants today, from tender packs, specifications and RFIs to site reports and handover, and how it connects to scheduling, estimating, safety and BIM tools.
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AI in education: admissions, course support and rules (2026)
What AI can safely do for applicants, students, teachers and administrators, where a person has to stay in charge, and the rules that tighten around admissions, assessment and children’s data.
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AI in financial services: KYC, AML and compliance (2026)
Where AI helps banks, lenders and fintechs with KYC files, AML alerts, credit memos and service, what the FCA, FSB and EU AI Act expect of the system, and where a person must decide.
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AI in healthcare for clinics: safe uses and rules (2026)
Where AI is safe in a clinic today (reception, scribing, summaries, follow-up), when a tool becomes a regulated medical device, and what HIPAA, UK and EU rules ask of the system.
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AI in HR and recruitment: hiring AI laws checklist (2026)
Where AI helps HR and recruiting teams today, where a person has to decide, and a checklist of the hiring AI laws in New York City, Colorado, the UK and EU as of October 2026.
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AI in retail and ecommerce: sales and support agents (2026)
How retailers and online stores use AI agents on WhatsApp and web to answer, sell and handle returns, where AI is the wrong tool, and the rules for an AI that talks to customers.
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AI in travel and hospitality: guest messaging and use cases
What a hotel AI agent actually does, how to run guest messaging safely, which systems it connects to, and where a person has to stay in charge.