Stop supervising agents; Start delegating to them.

    arcta builds infrastructure that turns company judgment into reliable agent delegation.

    Get in touch

    AI Output scales,
    Business capacity does not.

    88%use AI in at least one business functionSource: McKinsey, 2025
    5%achieve value at scaleSource: BCG, 2025
    HUMAN
    REVIEW

    Every consequential
    output begins with a human.

    A senior fixes the output.

    The correction stays in the thread instead of becoming the standard.

    NO EXECUTABLE STANDARD

    Agents do not know how your company actually works.

    Nothing compounds.

    The result is recorded, but what made it acceptable never becomes testable.

    NO PROOF OF PERFORMANCE

    Companies cannot know when agent work is trustworthy.

    Intelligence is no longer
    the constraint.

    canon is. Until work becomes governed memory and testable standards, every consequential output still needs someone watching.

    canon.

    ˈkanənnoun

    from Greek kanōn — a straight rod used as a measure; a standard against which other things are judged

    1. 1.

      A body of work or rules accepted as authoritative within a community.

    2. 2.

      The authoritative record of how a firm does its work: decisions, rules, precedents, exceptions, etc — held in a form an agent can execute and be measured against.

    3. 3.

      The infrastructural layer missing between a capable model and work a firm can actually delegate.

    WHAT CANON CONTAINS
    01

    Knowledge

    02

    Decision rules

    03

    Precedents

    04

    Exceptions

    05

    Evaluations

    06

    Validated outcomes

    Contextis compiled from it.

    Evaluationsencode it.

    Outcomesimprove it.

    Every firm completes work. The ones that win will rearchitect around AI to compound it.

    arcta uses a forward-deployed model to configure and deploy our platform within firms -- allowing agents to function as true employees and absorb business complexity reliably.

    One system turns company judgment into work agents own reliably.

    01 / REFINEBUILDS CANON

    Refinery

    Turn real work into Canon.

    02 / OPERATEAPPLIES CANON

    Compiler

    Give agents bounded jobs they can own.

    03 / VERIFYENFORCES CANON

    Crucible

    Turn performance into earned autonomy.

    04 / OVERSEECONTROL PLANE

    Oracle

    The control plane for delegated work.

    Approved outcomes return to Canon. Each cycle expands what agents can own and reduces the supervision required.See the loop in action

    Each canonized workflow compounds firm capability.

    Every deployment adds approved knowledge, integrations, permissions, evaluation cases, and outcome evidence to Canon. The next delegated workflow begins with more of the company already encoded.

    REUSED CANONNEW JOB LOGIC
    Workflow 1
    Workflow 2
    Workflow 3
    Faster to deploySafer to expandEasier to replicate

    Sovereign by design, Secure by default.

    Your environment

    Deploy into customer-controlled, tenant-approved infrastructure—not another external system of record.

    Your data

    Files, prompts, outputs, and operating evidence remain engagement-scoped, encrypted, and are not used to train shared models. Data is protected with AES-256-GCM at rest, TLS 1.3 in transit, and KMS-backed envelope encryption.

    Your authority

    Existing identity, permissions, ownership, approval policy, and separation of duties determine who can view, draft, approve, and act.

    Your lineage

    Sources, Canon changes, evaluations, approvals, reviewer handoffs, and system actions remain attributable and reviewable.

    Your Canon

    Your operating knowledge, standards, evaluations, corrections, and outcome history remain a portable firm asset—not proprietary memory trapped inside a vendor model.

    Models change. Interfaces change.Your judgment remains your own.

    Read Security & Control

    AI agent FAQ

    Questions about deploying AI agents.

    arcta turns company context, workflows, controls, and feedback into the operating system dependable AI agents need.

    Begin with a 4–6 week sprint.Build toward institutional capability.

    Get in touch
    01

    Diagnosis

    Work with an Arcta forward-deployed engineer to select a bounded, economically meaningful workflow and define its success metric.

    02

    Baseline

    Establish current KPIs and workflow throughput to measure improvement against.

    03

    Configure

    Configure Refinery, Compiler, and Crucible for the selected workflow within your firm’s environment.

    04

    Observe

    Track KPIs and workflow-throughput performance.

    05

    Expand

    Expand to additional workflows or functions only when results justify it.