Managed agents

We run the agent. You get the report.

A standing agent we host, monitor and keep running for your team, delivering a report or an artifact on a schedule. You see the output and its sources; the pipeline stays our problem.

What you see, and what you don't

The point of a managed agent is that the output is yours and the machinery is not your problem.

You see

  • The artifact: a report, a brief, a digest or a battle-card update, in Slack, email or a document you own.
  • Its sources: each figure and claim links to the record or conversation it came from.
  • The schedule, and a note when a run was late, partial or skipped.
  • An approval step wherever an agent would write to a system of record.
  • A monthly health note: what ran, what changed, what we fixed.

You never have to look at

  • Prompts, model choices and routing rules.
  • Retries, rate limits and provider changes.
  • Connector maintenance when a source moves.
  • Monitoring, alerts and the fixes that follow them.
  • Dependency and model updates.

Agents we run

Each one is a scheduled workflow with a defined input, a defined output and a cadence. You supply the inputs once; the output keeps arriving.

Competitor watch

Weekly, or daily for a short list

A weekly digest of what the competitors you named changed, with the diff, the source and the battle-card rows it touches.

You provide, once

  • · The competitor list and the pages that matter
  • · Your current battle card, if one exists
  • · Who receives the digest

You receive

  • · Weekly digest in Slack or email
  • · Battle-card row updates waiting for approval
  • · A dated change log with sources

Weekly pipeline digest

Weekly, before your pipeline meeting

The Monday numbers, assembled from the CRM, calls and spreadsheets, with each figure linked to the record it came from.

You provide, once

  • · Read access to the exports or APIs the report draws from
  • · The report as it is built by hand today
  • · Who receives it

You receive

  • · The digest on schedule in Slack or email
  • · A source map for every figure
  • · A change note when a source moves

Call-to-positioning engine

Continuous tagging, monthly delta

Transcripts tagged for pains, objections and language, rolled into a monthly positioning and messaging delta with the quotes behind it.

You provide, once

  • · Transcripts from your recording tool, on a schedule
  • · Your current messaging framework
  • · A taxonomy review at the start

You receive

  • · A tagged, searchable call record
  • · A monthly positioning and messaging delta, cited
  • · Draft battle-card and playbook changes for approval

Support theme digest

Continuous tagging, monthly digest

Tickets tagged against your taxonomy, rolled into a monthly digest of themes with counts, quotes and the accounts behind them.

You provide, once

  • · Ticket exports on a schedule
  • · A taxonomy review at the start
  • · A data-handling rule set for personal data

You receive

  • · A tagged ticket record
  • · A monthly theme digest for product and success
  • · Escalation flags for a person to review

Content brief factory

Weekly briefs, monthly topic list

The questions customers asked this month, turned into briefs with cited evidence and a draft your team edits.

You provide, once

  • · Calls, tickets or notes the questions come from
  • · Your editorial calendar and voice notes
  • · Who reviews drafts

You receive

  • · A ranked topic list each month
  • · Briefs with cited evidence each week
  • · Drafts in Markdown for review

Pre-meeting briefs

Before each meeting you flag

Before a key meeting, a brief of the account's history from the call record: stated pains, open objections, who said what.

You provide, once

  • · Transcripts and notes on a schedule
  • · A calendar or a flag for the meetings that matter
  • · Who receives the brief

You receive

  • · A brief in Slack or email before the meeting, with links to the moments
  • · A searchable call record behind it

A report you build by hand that is not on this list is usually still an agent. Ask.

How it runs

  1. 1

    Scope the agent

    What it reads, what it produces, how often, and who receives it. One page, agreed before anything is built.

  2. 2

    Build and run alongside

    The agent runs next to the manual version until the outputs match and you trust them.

  3. 3

    We host and monitor

    Uptime, failures, source changes and model changes are ours to handle. A monthly health note says what happened.

  4. 4

    You review the outputs

    Reports arrive on schedule. Where an agent would write to a system of record, a person approves first.

  5. 5

    Change it when you need to

    New sources, a different cadence, another recipient: changes are handled under the agreement, not re-quoted.

What stays under your control

The promises that hold on every engagement, and the ones we do not make on this one.

On every engagement

  • Outputs cite the document or conversation they came from, so a person can check before acting.
  • A person approves anything that reaches a customer or writes to a system of record.
  • Delivery is Slack, email or a document you own. Other channels are not offered.
  • Fixed price, agreed before we start. Nothing numeric is published on this site.

The work runs on the TurnkeyGTM platform where it fits, and on plain software where it does not.

Not promised here

  • Agents run on infrastructure we operate; the data-handling rule set is agreed before the first run and personal data is minimised before any model sees it.
  • Delivery is Slack, email or a document you own. Other channels are not offered.
  • Outputs cite their sources. Anything that writes to a system of record waits for a person's approval.
  • Pricing is a fixed build plus a monthly fee, agreed up front; nothing numeric is published here.
  • Want the agent inside your own cloud account or network instead? Those are the cloud and on-premise options, and an agent moves there with its documentation.

What this is not

The TurnkeyGTM platform runs as a cloud service we operate. We do not offer an on-premise or private-hosted edition of the platform today. On-premise and cloud deployments are designed and built on open-weight models and self-hostable components — containerised services, a vector store such as Qdrant or Postgres, and a model server such as Ollama or vLLM — and handed over with documentation. Managed agents run on infrastructure we operate, under a data-handling rule set agreed before the first run. Capacity, latency and cost figures are given per engagement, never on this page.

Questions we get asked

Tell us which report you would like to stop assembling by hand.

A thirty-minute call is enough to scope the agent. A fixed build and a monthly fee, agreed up front.