Most businesses don't know where AI actually helps.

    We find that line, then build the system around it: automation where rules decide, AI where judgment matters. Done right, AI makes a company more ambitious. It doesn't replace the team.

    AI agent mascot

    Does this task need AI, or just automation?

    Get it wrong and you're either overpaying a model to do a spreadsheet's job, or asking software to use judgment it doesn't have.

    Deterministic Automation

    Reach for this when

    • The rules don't change
    • Input is structured and predictable
    • It has to be right every time
    Invoice routingLead assignmentApproval chains

    Cheaper. Faster. Auditable.

    AI / Agents

    Reach for this when

    • Input is messy: email, chat, a scanned PDF
    • The right answer depends on context
    • A person has to read it and decide
    Drafting a replySummarizing a threadJudgment calls

    Flexible. Handles ambiguity. Costs more.

    Default to automation. AI has to earn its place. Every workflow starts as deterministic code, and AI only enters where judgment is genuinely required. Whatever we build, a human reviews it before it goes live.

    Most good systems use both

    Lead comes in
    Logged & routed
    Follow-up drafted
    Reviewed & sent

    AI works inside your systems, not around them.

    Governed cross-app intelligence: a master agent delegates to sub-agents that act on the tools you already run, each one scoped to exactly what it's allowed to touch.

    AI agent mascotMaster agent
    Sales agent
    Finance agent
    Operations agent
    CRM
    Email
    Calendar
    Finance
    Documents
    Databases
    Projects
    Helpdesk
    APIs

    Governed from day one

    Every agent has explicit limits on what it can see and what it can act on, across every app it touches.

    One workflow at a time

    AI earns scope as it earns trust: yours, and your team's in the system itself.

    The monotony goes first

    We automate the re-keying and chasing nobody wants, so your team spends its hours on the judgment calls AI can't make.

    Time saved only matters if it shows up on the P&L

    We report what the activity was worth: hours you didn't have to hire for, revenue you didn't have to chase.

    Manual Data Entry

    20hrs→20hrs
    85% less time

    Per person, per week, reclaimed from re-keying data between systems.

    Requests Needing a Human

    100%→100%

    The rest are resolved or routed automatically.

    The math, worked out

    17 hours a week, at a fully-loaded cost of roughly $35/hour, is $30,000+ a year without adding headcount. That's the number we hold ourselves to, not how many tickets the agent handled.

    What we're watching happen

    Incumbents that avoid AI to protect their position get outrun by smaller firms giving their people superpowers.

    Tell us where the work is piling up, and we'll tell you honestly whether AI is the answer.