Agent supervision platform

Every agent action, accounted for.

We build the agents that run your workflows — and the console that watches them do it. Every tool call traced, every action scored, and anything that crosses a line held for a human before it lands.

Watch a live agent run → Talk to an engineer
Runs in your cloud Your data trains nothing Full run history, exportable
Spectre console / production fleet Live
Fleet sweep · 34 agents
TimeActionState
    Actions today12,481
    Agents online34
    Holds open2
    The oversight gap

    You hired a workforce that never logs off.

    Agents read your systems, move your data and act in your name — thousands of times a day, at machine speed. Most teams can see the output and nothing else.

    Spectre closes that gap. The oversight you already expect over people, applied to the software working on their behalf.

    Gartner expects two in five enterprises to demote or shut down their autonomous agents by 2027 — because the governance gaps only surfaced after something had already gone wrong in production.

    Gartner · May 2026
    0 Of enterprise apps will run task-specific AI agents by the end of 2026 — up from under 5% a year earlier Gartner
    0 Of organisations that hit an AI-related security incident had no proper AI access controls in place IBM · Ponemon
    0 Average annual cost of insider risk per organisation, up 12% on the year before Ponemon · DTEX
    0 More spent containing a single insider incident than monitoring to catch one early Ponemon

    Sources — Gartner, "Applying Uniform Governance Across AI Agents Will Lead to Enterprise AI Agent Failure", May 2026, and enterprise application agent forecast, Aug 2025. IBM / Ponemon Institute, Cost of a Data Breach Report 2025. Ponemon Institute / DTEX, Cost of Insider Risks Global Report, 2025 and 2026 editions.

    The platform

    Build the agent. Then supervise it.

    Four surfaces, one record. Everything an agent does lands in the same trail — so the team that ships it, the team that secures it and the team that has to explain it are all reading from one page.

    • Each prompt, tool call, file touched, row read and dollar spent is captured as a structured trace. Scrub back through any run and watch the agent reason in real time.

    • Spectre baselines each agent over its first runs, then scores the drift — a new tool, an odd hour, ten times the usual data volume, a retry loop that won't quit.

    • Rules run inline, before the call goes out. Keep an agent out of a field, cap what it can spend, and put a named human on anything above your threshold.

    • Every run is written to an append-only trail with its approvals attached. Pull an evidence pack for a date, an agent or a single decision, mapped to your framework.

    Trace · run 8841-cSpectre
    plan
    crm.search
    docs.read
    ledger.write
    notify

    14 steps · 6 tools · 2.4s · $0.031 · replayable

    AGT-207 · 8.1× normal export volume · flagged at 03:14

    spend > $50 / runAsk a human
    customer PII → externalNever
    AGT-207 → export.s3Blocked
    prod write, off-hoursAsk a human

    Rules evaluate before the call leaves the agent. Median 4ms, 9ms at p99.

    Run 8841-c · approved by J. Mensah14:02
    Run 8842-a · auto-cleared14:06
    Run 8843-f · held, awaiting review14:11

    sha256 9f2c1ba7e4d0…8831 · append-only · exports to CSV, JSON, PDF

    Who reads the console

    One record, three very different questions.

    Security wants to know what got touched. Operations wants to know what got done. Legal wants to know who said yes. Same trail, three views.

    Security

    What did it touch?

    Treat every agent as an identity with standing access — because that's what it is.

    • Risk score per agent, updated each run
    • Data-movement rules enforced inline
    • Session replay for anything held or blocked
    • Alerts routed to your SIEM
    Operations

    Is it actually working?

    Throughput, cost and failure modes for the workflows you handed over.

    • Success rate and cost per completed task
    • Where runs stall, retry or hand back
    • Queue depth and time-to-finish by workflow
    • Side-by-side against the manual baseline
    Compliance

    Who approved this?

    An answer that holds up months later, without a forensic project.

    • Append-only trail with approver on record
    • Evidence packs by date, agent or decision
    • Retention and residency you set
    • Reviewer sign-off built into the flow
    How we work

    Four steps, no discovery theatre.

    Nothing blocks on day one. Spectre observes first — full traces, no enforcement — and only starts holding actions when you say so. You keep the code, the traces and the keys.

    The full engagement →
    Step 01

    Find the work worth handing over

    We sit with the team doing the job, map the workflow as it really runs, and pick the one with the clearest before-and-after. If nothing clears the bar, we say so.

    Step 02

    Design the agent and its limits together

    Prompts, tools, memory and retrieval — plus the rules it runs under. What it can reach, what it can spend, and what it must ask about first, decided before a line of it ships.

    Step 03

    Ship it where you can watch it

    Version-tracked in your repo, deployed to your AWS, Azure or GCP account, wired into the console from the first run. No agent runs dark, not even in staging.

    Step 04

    Keep it honest as it grows

    Evals on every change, guardrails tuned against real traffic, and a weekly review of what got held and why. Your team takes the console over whenever they're ready.

    In production

    The part that mattered was the hold.

    Agents earn trust the way people do — by being watched at the start, and by having a record when someone asks.

    “For a year I couldn't answer the simplest question anyone asked me about our agents — what did that one actually touch? Now it's a search box. In the first week it stopped a run writing to a system nobody had signed off on.”
    Sarah Lindqvist · Director of Platform Security
    0 Holds raised this month
    9 ms Added to each agent action at p99
    Assurance
    • 99.98% uptime, rolling 12 months
    • Runs in your own cloud account
    • Your data trains nothing
    Get started

    Put a supervisor on every agent you run.

    Bring us an agent you already have, or a workflow you've been afraid to hand over. Your agents don't change: Spectre wraps the layer where they call tools, and the trail starts on the first call.

    Book a walkthrough → See the platform