Borg

An AI team that knows your company.

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Full oversight in the app.

Command your company from anywhere.

Run every model across your whole team. See the work, the cost, and who’s moving the needle.

Your team runs on AI. You can’t see any of it.

They sell you seats. Nobody sells you transparency. Every per-seat plan hands your people a chat window and hands you an invoice. Which models they’re in, what they’re building, what it costs, whether any of it moves the number you run the company on: invisible to the one person accountable for the outcome.

What a per-seat plan leaves you without

No oversight

Admin consoles show seat counts and message volume. Not what anyone is working on today.

No line to the number

AI work isn’t tied to a scorecard, a rock, or a north star. Activity goes up. You can’t tell if the number follows.

No permissions, no budgets

Everyone gets every model with no limit, and there’s no switch for the one you don’t want in the building.

Shadow installs

Someone is installing an AI tool off GitHub right now. Nobody vetted it. If it leaks credentials, you find out last.

Finally. Your team, AI‑enabled the right way.

Every person on the right model. Every dollar governed. Every hour tied to a number you run the company on. Lower cost than the seats you pay for today, and more output from the people you already have.

⅛the ongoing cost of per-seat plans
40×less spent on routine work, routed to the right model
0seats to count. Unlimited people on one governed layer.
Claude Gemini Perplexity ChatGPT Grok Borg one governed layer

From operator to commander.

An operator runs the plays and finds out in the meeting. A commander sees the whole field live and calls the next one. This is your dashboard: every person, the work in flight, what it runs on, what it costs, and whether it moves the number you run the company on.

Command view · Company · 32 people · on Borg Live · Tuesday 13:06

North star · qualified pipeline

$1.84M

+12% this week · 84% to target · 29 of 32 people mapped to it

Marketing

$1.84MQualified pipeline · On track · +12% wk

Sales

$612KClosed-won, quarter · Watch · 4 deals stalled

Client Success

108%Net revenue retention · On track

Customer Service

4.8CSAT · first reply 6 min

Finance

$212KCash collected / mo · On track

Calls to make today

4 open
Unmapped

Anna T.: 26 hours a week of AI work with no metric. Map it to a number or stop it. Beth owns the call.

Routing

Priya S. drafts proposals on a frontier model. Route drafts to a mid-tier model. Same output, $212 a month back.

Renewals

11 renewals due in 90 days, 4 unreviewed. Jonah owns the review by Friday.

Sales

4 deals stalled with no next step. Connor runs the stalled-deal playbook today.

Where the hours go · this week

Claude27%
GPT22%
Cursor14%
Gemini11%
Notion9%
Slack8%

Team efficiency · 7 days

91 outcomes per token

Live work · who is on what, and the number it feeds

6 of 32 shown
PersonApps and modelsWorking onEffCost today
BBeth · MarketingClaude 44% · HubSpot 22%Q4 pipeline plan → Qualified pipeline96$3.40
CConnor · SalesGPT 38% · ClickUp 24%Deal-risk reads → Closed-won92$0.62
GNGina · Client SuccessClaude 51% · HubSpot 29%Health-score review → NRR89$0.84
MCMaya · FinanceGPT 46% · Sheets 31%Forecast variance → Cash collected90$0.41
LGLee · Customer ServiceGemini 40% · Zendesk 35%Escalation rules v3 → CSAT83$0.28
ATAnna · MarketingClaude Opus 63% · Unverified 21%Personal research · ! No metric41$4.80

Illustrative data · Yellow is unmapped. Red is a frontier model on routine work.

Every division, clear KPIs

Marketing, Sales, Client Success, Finance, Customer Service. Each has a metric, a target, and a live read. The status meeting turns into a decision meeting.

Who is on what, focused on what metric

Tasks in flight, the apps and models they run on, and the KPI they feed. Unmapped work shows in yellow before it becomes a quarter you can’t explain.

Decisions surface. You make them.

Frontier models on routine work, at-risk renewals, unmapped hours. The workforce raises them, and a commander decides in a minute instead of discovering them in a month.

What gets installed.

Every frontier model behind one key, with permissions, limits, budgets, and a router that picks the right model for each step. We put it inside your company, wired to your numbers.

Routing

The right model for every step. Chosen for you.

Everyday work runs on fast, inexpensive models. The frontier only when it earns it. Nobody picks a model. Nobody overpays.

Pick a task on the right. Same result, a fraction of the frontier price.

Everyone on the frontier

$4 / $20 Claude Opus 5.5, per 1M tokens in / out

Routed by Borg

$0.10 / $0.50 GPT-6 Luna, per 1M tokens in / out

Sorting 40 support tickets costs 40× less when it’s routed to the right model. Same result, and the frontier stays available for the work that needs it.

List prices per 1M tokens, as published on getborg.com.

The gateway

Permissions. Limits. Budgets.

Every model behind one key. Who can use what, how much, and on whose budget.

Claude Opus 5.5Engineering
GPT-6Everyone
Kimi K3Excluded
Marketing budgetThis month

$620 of $1,000. Exclude a model company-wide with one switch. Marketing can’t spend Engineering’s allocation.

Memory

It learns what your team knows.

Threads, docs, deals, and tasks become memory the whole team shares. Every finished mission adds to it.

“No deploys after 3pm on Fridays.” Said once. Applied everywhere.

Missions

It finds the work that should happen next.

Alerts and requests flow through the gateway. Borg proposes the mission, with evidence. You say go.

“Fix the flaky checkout test, 6 failed runs this week.” Proposed, approved, logged.

Every frontier model

One subscription. One bill.

Claude, GPT, Gemini, Grok, Kimi, GLM, plus image, video, and voice. A new model is a policy switch, not a vendor contract.

Claude Opus 5.5 GPT-6 Gemini 3.8 Grok 4.7 Kimi K3 GLM 5.3 Veo 3.1 Voice

Everywhere

Mac, Windows, Linux, web, phone, and an API for your own product.

27 apps, one launcher

The enterprise apps your team already pays for, vetted by our registry.

Not only text

Image, video, and voice on the same policy, so video access is a gateway rule too.

How it happens.

The three-step process

01 · Install

We install it

The gateway, your model policy, budgets, the vetted registry, and the Leader View. Live in weeks. Very little lift on your side.

02 · Train

We train your team

Role by role: the right model for the task, the context to give it, the guardrails to respect, the metric it feeds.

03 · Future-proof

We keep you future-proof

A new model is a policy change, not a migration. We re-tune every quarter. Nothing to rip out.

Eight questions. Two minutes. An honest score.

Take the AI Company Assessment

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Choose a team size to begin the illustrative assessment.

The people who run the install.

A client inherits a solved problem, not an open question. The gateway, the model policy, budgets, the registry, and the Leader View come with the people who already run them.

1governed layer. Every model, one policy, one bill.
0seats to count once the pool is in.
3people who lead the install with you.

Kane Sivesind

THE AI LEADER IN THE SMB SPACE

Leads every install: the gateway, the model policy, budgets, the registry, and the Leader View. A client inherits a solved problem, not an open question.

Jonathan Kilton

AI leader in the enterprise operations space

Leads every install: the gateway, the model policy, budgets, the registry, and the Leader View. A client inherits a solved problem, not an open question.

Manick Bhan

CEO and CTO

Two exits and a scaled engineering team. He has led engineering at companies of a couple hundred people, run agent fleets of over 1,000 agents, and is passionate about helping teams access more AI, analyze their business problems, and get useful work done.

Stop paying for seats you can’t see into.

One call. We look at your team, your stack, and your numbers, then tell you exactly what the install looks like, what it costs, and how fast it’s live.

Book a call