Built by operators. Trained on your business.
A custom team of AI operators that removes your biggest bottlenecks in growth, ops, finance, and delivery. It does the repeat work your team keeps dropping. You wake up to the output.
Live in 30 days, or you don’t pay.
The fleet doesn’t brainstorm forever. It drafts the report, builds the list, flags the blocker, and hands you work your team can use.
Slack, HubSpot, GitHub, Stripe, Notion, Calendar. The fleet works across the tools you already run instead of becoming one more tab to babysit.
Decisions, blockers, handoffs, outcomes. The fleet keeps operating memory so every week starts sharper than the last.
Pain points
A hot lead waits two days for a reply. A partner asks for numbers nobody trusts. A deadline slips because a handoff vanished in Slack. None of it looks like a crisis. It just quietly bleeds money.
The lead that went cold
Interest shows up. Nobody owns the next move fast enough. The referral goes quiet, the booked call never gets a follow-up, and the deal you already paid to win quietly dies in the gap.
The status nobody can answer
The work is happening. You just can’t see it. What’s stuck, what’s late, who owns the next step, which account is about to blow up. It’s all in someone’s head, not on a screen. So small problems stay invisible until they’re fire drills.
The paperwork chased on the due date
Law firms, med-tech teams, and detail-heavy operators eat the same scramble: missing records, half-finished documentation, an audit nobody prepped for. The gap was there for weeks. Nobody was watching it until it hurt.
The answer buried in Slack
Your wins, decisions, and context are scattered across calls, chats, inboxes, and docs. So proposals take a day instead of an hour, reports get rebuilt from scratch, and leadership makes calls without the full picture.
You open Slack and it is already done. Leads enriched overnight. The board report drafted. A renewal risk flagged with a save email ready. Follow-ups sent before the deal went cold. No fire drill. Just the few decisions that actually need you, waiting at the top.
How it works
No strategy-deck theater. No 12-month transformation fog. We map your real work, show you the plan, and only build what you sign off on.
01 — Map
Your tools, workflows, clients, documents, and the bottlenecks bleeding time. We find where work drops. Built around your reality, not a template.
02 — Plan you approve
We show you exactly what gets built, which work it takes over, and what access it needs. Nothing gets credentials or goes live until you sign off.
03 — Install and run
Specialist operators ship work where your team already works. It runs in shadow mode first, calibrated to your bar, then acts on its own. You own the keys.
The build, in detail
Eight stages, with approval gates where they matter. Blueprint first. Access second. Shadow-mode before live execution. Nothing customer-facing fires until the fleet is calibrated.
Stage One — Discovery & Scope
Book the discovery call. We map the business: org chart, tools, workflows, where deals leak. We don’t move on until we have enough to scope the fleet.
Stage Two — Blueprint & Access
Architecture report: fleet blueprint plus a least-privilege access list, itemised per tool. You review and sign off. Nothing gets credentials until you approve.
Stage Three — Infrastructure & Hardening
Provision your dedicated VPS. Harden it: Tailscale mesh (zero public ports), fail2ban for brute-force defense, key-only SSH with no root login, encrypted vault for every key and token.
Stage Four — Integration (parallel)
Connect your comms (Slack, Teams, Telegram, WhatsApp) and your AI model subscription. Provider-agnostic — you keep the AI bills you already pay.
Stage Five — Company Context
Load the business context: offers, pricing, SOPs, docs, decisions, and voice. Stand up persistent memory so the fleet does not reset every morning.
Stage Six — Build the Operators
Top-leverage operators first: growth, ops, finance, delivery, research, reporting. Custom playbooks and scheduled jobs per role.
Stage Seven — Proof & Go-Live
Shadow-mode dry run: the fleet drafts but never sends. We calibrate to your bar. Only when you say it’s ready does it go live and act autonomously.
Stage Eight — Compounding
Recurring review loops turn real work into better operating memory, sharper playbooks, and cleaner handoffs. You own the system.
The diagram
The whole pipeline on one canvas. Diamonds are your sign-off gates. Stacked tiles are async holds. Dashed lines are review loops. Nothing moves to the next stage until the one before it clears.
The stack
Honcho, for memory
Not store-and-retrieve. Every message triggers background reasoning that extracts insight, resolves contradictions, and tracks how your business changes over time. It gets smarter overnight, at zero runtime cost.
A custom fleet, for the work
Specialist profiles for growth, ops, finance, delivery, research, and reporting. Premium reasoning where the work is hard. Lean models where it is routine. Provider-agnostic.
Your own server, for ownership
The fleet, the memory, and the playbooks live on infrastructure built for you. No per-seat tax. No rented chatbot wrapper. The more it runs, the more operating context it earns.
Inside the fleet
Three moves. No prompt engineering ritual. No new app to babysit. The fleet lives where your team already works.
The roster
Each operator has a job, context, memory, and escalation path. The fleet owns real business loops instead of waiting for prompts.
Growth Operator
Finds prospects, enriches leads, drafts outreach, flags follow-up windows, and keeps deals from going cold.
Ops Operator
Turns recurring chaos into workflows, checklists, handoffs, and exception alerts. The handoff stops vanishing in Slack.
Finance Operator
Drafts reports, watches cash signals, organizes inputs, and surfaces questions before the owner has to dig.
Delivery Operator
Tracks client work, identifies stalled handoffs, turns delivery notes into next actions, and catches gaps before clients feel them.
AL vs AI tools
You already have AI tools. The work is still there because tools need operators. Applied Leverage installs the operators.
Tells you how to write the outbound sequence. You still build the list, write the emails, queue them, and chase replies.
Summarizes your last board call. You still pull the numbers, format the deck, and write the narrative.
Follows rules you write. You still notice what’s broken, design the flow, and rebuild it when tools change.
Writes the code in your editor. You still review, branch, push, run CI, deploy, and write the release notes.
Builds the pipeline. Pulls the best prior signals, enriches ICP leads, drafts the sequence in your voice, loads the campaign, and reports what moved.
Ships the deck. Pulls the numbers from your stack, drafts the narrative, renders the board pack, and drops it where review happens.
Figures out what to automate. Watches where work drops. Proposes the flow. Builds it. Maintains it when your tools change.
Ships features. Branches, writes the code, runs CI, opens the PR, deploys on merge, posts the release notes in Slack.
Use cases
You brief the fleet once. It turns open loops into drafts, flags, reports, and follow-ups before the workday starts.
Board reports drafted before Monday standup. Cashflow questions surfaced before finance day. Risks visible before the fire drill.
Before: you ask “where are we on this?” and get three answers, none current.
After: pipeline, delivery risk, and churn-flagged accounts in one place. One source of truth.
Before: someone burns half a day rebuilding the weekly brief from scattered data.
After: daily and weekly briefs assembled from your real operating data, in your inbox by 6 AM.
Before: you find out an account is gone at renewal, too late to save it.
After: quiet clients and stalled projects flagged weeks early, while there’s still time.
Before: the answer is buried in a call from March and one person’s head.
After: every call, decision, and Slack thread queryable in plain English.
Leads enriched before sales opens Slack. Follow-ups sent before the deal goes cold. Objections remembered from the last call.
Before: an inbound sits in someone’s inbox and the competitor books the call first.
After: the fleet triages every inbound, books the call, and chases the silence.
Before: the proof exists somewhere, so the proposal takes three days.
After: the fleet mines your calls and wins into a ready-to-send proposal when the deal needs it.
Before: a drifting account goes quiet and you notice once it’s already churning.
After: the fleet flags renewal risk from usage and silence, and drafts the save before you ask.
Before: outbound stalls whenever nobody has time to build the list.
After: ICP lists sourced, contacts enriched, sequences launched. You approve, the fleet runs it.
Support gaps flagged before the client complains. SOP drift caught before the process breaks. Blockers surfaced while there is still time.
Before: a handoff vanishes in Slack and the deadline slips before anyone notices.
After: the fleet tracks open work, chases missing inputs, and surfaces the blocker while there’s still time.
Before: the audit becomes a week-of fire drill of missing signatures.
After: the fleet watches records, surfaces gaps early, and chases signatures before deadlines hit.
Before: you’re the middleman, nudging owners and copying data between tools.
After: the fleet tracks inputs, nudges owners in Slack, and syncs the tools on schedule.
Before: paperwork eats your week, line by line.
After: the fleet reads PDFs, matches line items against agreements, flags anomalies, and queues for review.
Research briefs ready before the strategy call. Content drafts queued before the calendar gets loud. Winners fed back into the next round.
Before: the calendar goes quiet whenever the week gets loud.
After: long-form, social, email, and ad copy drafted in your voice, scheduled, and published on your cadence.
Before: reporting is a raw spreadsheet export nobody reads.
After: polished briefs with charts, narrative, and clear next actions, weekly or on demand.
Before: one great asset gets posted once and forgotten.
After: the call clip becomes a tweet, a short, a newsletter, a proof point. The fleet does the cutting.
Before: the board pack gets rebuilt by hand with stale numbers.
After: polished PDFs ready for clients, investors, or the board, with the numbers always current.
Case study
A coaching business had revenue, student health, wins, calls, SOPs, and Slack threads scattered across the stack. Nobody could answer “what needs action now?” without digging. We installed the embedded fleet and the command center on top of it.
The difference
Most AI products sell a seat on their cloud. Stop paying and the system disappears. We build a fleet around your business, your context, and your workflows.
A custom fleet you own
A per-seat subscription
Get started
We install a working fleet inside your business. If it is not live and doing useful work in 30 days, you don’t pay. Not a credit. Not a discount. Your money back.
Build my fleetNo implementation credit. No trapped retainer. No corpo escape hatch.
Built for
Not for
Book a call
45 minutes. We map the work bleeding time, pick the first operators, and define what “delivered” means before a dollar moves.
FAQ
ChatGPT waits for prompts. It has no durable operating memory, no specialist role ownership, and no mandate to carry work forward. This is an embedded fleet with company context, tool access, escalation paths, and review loops.
No. We build, harden, integrate, and calibrate the system. You bring the business context, the existing tools, and the problems worth solving. We handle the chrome.
It runs on your own dedicated server and connects to your preferred AI subscriptions. The setup is provider-agnostic, so you are not trapped inside one model vendor, SaaS seat, or rented chatbot wrapper.
The system is built around a dedicated hardened server, private mesh access, no public ports, key-only login, and an encrypted vault. Your data stays inside your infrastructure instead of getting sprayed through random tools.
Yes, AI can get things wrong. So we do not start by letting it fire live rounds. It runs in shadow mode first: drafting, checking, and proposing before anything customer-facing or operational gets shipped. Once calibrated, it self-checks before execution.
Your first working fleet ships in 30 days. Early wins usually come from repeatable work already clogging the operator’s day: follow-ups, reporting, intake, handoffs, research, and delivery tracking.
A working agent fleet mapped to your workflows, at least one live operating loop, a command surface showing what the fleet is doing, and a handoff explaining how to use, measure, and improve it. If that is not live within 30 days, you do not pay.
