WISNOTS
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    For teams already running AI agents

    Your AI agents are up front.
    Your automation rate is stuck.

    Because everything behind the bot still runs by hand.

    We show you, across all your systems, where your rate is stuck and where to start for the fastest gain.

    Book a short call →
    The problem

    The bot was only half the distance

    Your agents handle the tickets up front. But every case eventually runs into a step a human has to do, an approval, a booking, a waiting point on another system.

    That is exactly what caps your rate. Every case that has to pass through a hand does not count as automated. You automated the front and are stuck on the manual work at the back.

    Automation rate today
    30 %
    Your target
    70 %
    Target missed by
    40 percentage points
    1,204 cases · last 90 days · live
    as-is-process.map · Automation level per step
    1,204 cases312× escalated · conf 0.64 · 0 % auto908 cases96 returned · rejected148 · direct path1,056 cases
    Dispute received
    ENNEO · EMAIL
    1,204 cases100 % auto
    AI agent triages
    ENNEO · AI AGENT
    1,204 cases74 % auto
    ● Stuck Point
    Create meter correction
    COCKPIT · HUMAN
    1,056 cases0 % auto

    1,056 cases are created here by hand in the cockpit, the largest automatable block in the process.

    Waiting for grid operator meter reading
    SDK · EXTERNAL
    908 casesno human
    Execute Billing Correction
    COCKPIT · HUMAN · ACCOUNTING
    1,056 cases0 % auto
    A real process: 1,056 of 1,204 cases hang on a single manual step.
    The solution

    You see where the biggest lever is

    We connect to your systems and lay your process open across all of them, from the first request to the close. You see which step your rate hangs on, how many percentage points it costs and where to start first. Not guessed, but visible across every system.

    live-operations · agent flow
    live

    Live Operations

    All running cases in real time. Every case shows what it is waiting for and what happens next automatically.

    14
    now active
    9
    fully automatic
    3
    waiting externally
    1
    approval needed
    #544953waiting externally
    Waiting for meter reading from the grid operator
    Day 3 of 5
    ✓ follows up automatically on day 5
    #540846action needed
    Credit note €88.40 above the amount limit
    waiting for accounting approval · for 12 min
    Open in #accounting →
    #540818billrun
    Queued for the billrun
    since Tuesday · invoice + credit note automatically afterwards
    ✓ no touchpoint needed
    #540832closing
    Credit note booked, customer informed
    booking audit-proof in the system
    ✓ closes automatically today
    #540851monitoring
    Meter correction triggered, monitoring the meter reading
    Day 1 of 5
    ✓ continues as soon as the meter reading is confirmed
    #540878escalated
    Move within the billing period, edge case not modelled
    Agent cannot decide · waiting for takeover
    Open in #escalations →
    #544953running
    Real time · Invoice correction, processing live
    1. INTAKE AGENT
      Ticket taken in, case understood
    2. CLASSIFICATION AGENT
      Dispute classified (conf 0.74)
    3. ORCHESTRATOR
      Blocker detected, flow planned
    4. COCKPIT AGENT
      Meter correction booked in the cockpit
    5. MONITORING AGENT
      Monitoring the meter reading at the grid operator (SDK)
      Handover: Cockpit Agent → Monitoring Agent
      monitoring … fires as soon as the condition is met
    6. POLICY AGENT
      Amount limit checked, approval obtained
    7. BILLING AGENT
      Execute + billrun queue, credit note (Billogram)
    8. CLOSING AGENT
      Customer informed, ticket closed
    Activity
    12:22:08 MONITORING AGENT takes over: Monitoring the meter reading at the grid operator (SDK)
    Every step across all systems, from the first request to the close. That is how you see where to start.

    You see which step costs you the most percentage points, and put your capacity exactly there.

    How it works

    You enter your KPI target, for example 70 % automation rate. The system lays your whole process open across all systems and marks the bottleneck in red, the step that keeps you furthest from your target.

    bottleneck-analysis · target 70 %
    1 · Set the target
    Target automation rate
    70 %
    today
    30 %
    Gap
    40 pp
    2 · Process laid open across all systems
    ENNEO
    Dispute received
    100 % auto0 pp
    ENNEO
    AI agent triages
    74 % auto6 pp
    COCKPITBottleneck
    Create meter correction
    0 % auto26 pp
    SDK
    Grid operator meter reading
    no human0 pp
    COCKPIT
    Execute Billing Correction
    0 % auto8 pp
    3 · Bottleneck

    Biggest lever: Create meter correction in the cockpit, 26 of the 40 missing percentage points hang on this one step.

    You set the target, the system works out the rest: what each step costs and which one comes first.
    Next step

    Is your rate stuck on the manual back end?

    Show us one process, and we will show you what is left once the manual steps are gone.

    Book a short call →