Your Sovereign, Governed AI Workforce

Bring your own models. Own your knowledge, your procedures, your evaluations, your learning data. Run it on the harness and infrastructure you choose.

AI employees, not AI freelancers.

Your private, governed, self-improving AI agents that understand how your company works.

Book the 30-min demoStart free
Live on Microsoft Marketplace
sandboxedpolicy firstproof
Jobs run / mo
4,120
↑ 2.9× this year
Spend / mo
$982
↓ 54% this year
Avg cost / job
$0.12
down from $0.24
Controls evidenced
31 / 33
↑ 6 this quarter
JobRun byModelAcceptedCostReceipt
every row above links to its signed ledger event · costs are per-job actuals, never estimates · models routed by policy: the cheap ones where they are enough · numbers here are illustrative · your board reports its own
Where it lives

It works where your team already works

ZeroH ships inside the Microsoft surfaces your team lives in. The job arrives finished, with its receipt.

And it connects to the rest of what you already run, every connection configured, probed and approved before an agent can touch it. See what it connects to →

Blade Labs
allhands-team
meeting-notes
releases
Sales
ZeroH-AI-Workforce
Suggestions
ZeroH Sales AgentSales Agent, a hired AI employee on your governed ZeroH runtime.
ZeroH Marketing AgentMarketing Agent, a hired AI employee on your governed ZeroH runtime.
ZeroH Operations AgentOperations Agent, a hired AI employee on your governed ZeroH runtime.
ZeroH Finance AgentFinance Agent, a hired AI employee on your governed ZeroH runtime.
ZeroH HR AgentHR Agent, a hired AI employee on your governed ZeroH runtime.
ZeroH Compliance AgentCompliance Agent, a hired AI employee on your governed ZeroH runtime.
ZeroH Help Desk AgentHelp Desk Agent, a hired AI employee on your governed ZeroH runtime.
ZeroH Project ManagerProject Manager, a hired AI employee on your governed ZeroH runtime.
ZeroH Chief of StaffChief of Staff, a hired AI employee sponsored by the CEO.
ZeroH AssistantYour operations assistant: plan work, schedule, sequence projects.
@ZeroH➤
Invoice #2231, ContosoFinance Agent triaged · 2 min
Renewal questiondrafted reply waiting
Leave requestrouted to HR Agent
Invoice #2231, Contoso

Attached the June invoice, due on the 30th…

Finance Agent · draft, held for youMatched to PO-118. Amount agrees with the contract. Suggested reply and payment reminder scheduled; approve to send.
ZeroH Assistant
Triaged this thread: invoice matched to PO-118, no anomalies.
Sender stays masked until send: [ORG-2231a]
Reply drafted in your tone, waiting for your yes.
Brand Kit matches your tone of voice

Q3 board pack

ZeroH Assistant
Drafting the growth slide from the July spend digest.
Client names stayed masked: [CLIENT-4f9a21] never left your tenant.
Slide ready, receipt attached.
Brand Kit built in your template branding

Master services agreement, summary

ZeroH Assistant
Summarising the contract against your clause library.
Counterparty stayed masked: [ORG-77be03] on your soil only.
Summary drafted, receipt attached.
Brand Kit your Word template applied
What it knows

It learns your company by doing its jobs.

The map below is what that looks like: the folders and systems you already have, the topics they add up to, and this week's work landing as memory with a receipt on every hand-off.

SourceThis week's workTopicDocumentAI workerPerson (gated)
in the product: DPO-gated · view audited
every edge → a ledger row · illustrative sample

In 2025, 42% of companies abandoned most of their AI initiatives, up from 17% the year before (S&P Global, survey of 1,000+ organizations). Generic AI does not know your business. Yours will, from day one, through governed reads of the systems you grant.

One house, every room

The app your team uses. The consoles you govern with.

Work happens in Teams. The Governance Console shows you the whole workforce. Studio is where you shape it. Console and Studio are real product screens.

ZeroH-AI-Workforce
Draft is ready in the channel, held for your yes. Receipt attached.
Approve and post.
ZeroH Sales Agent
ZeroH Marketing Agent
ZeroH Operations Agent
@ZeroH
Teams App
governance.zeroh · Console
The ZeroH Governance console roster: every agent with its sponsor, jobs and cost
Governance Console
studio.zeroh · Workflow
ZeroH Studio: a governed workflow graph with trigger, agent steps, a branch and the step binding panel
Studio

Jobs your Sales Agent is hired to do

Each card is a job in the agent’s portfolio. Hire the agent, enable the jobs.

Hover a card for the full trace. Every run ends in a signed receipt.

Watch one job run end to end

The same trace the console shows. Pick a scenario; the honest ones are in there too. Hover the run to pause it; any time.

What they plug into

Your agents work with the tools your team already uses.

The Microsoft surfaces, the systems you run your business on, and any MCP server you want reached, each connected as the person asking, and governed before the call rather than reported after it.

22,000+ apps already ship an MCP server. Yours are one governed connection away: ZeroH connects as the person asking, masks before any model, and puts every call on the ledger.

Connected natively today: 7 systems plus the Microsoft estate, 36 governed tools in the box. Not on the list? Ask: we ship new tools every day, and a connector you need is usually days away.

OutlookTeamsSharePointCalendarWordPowerPointDynamics 365HubSpotGitHubJiraGoogle DriveWeb searchGhostAny MCP serverYour own API
You decide what it can see

It will tell you what it cannot reach.

An agent that quietly guesses around the data it was not given is the dangerous kind. Ours names what it cannot reach, and waits for a person to decide.

Finance · Q3 budget
Put together our Q3 operating budget.
I can build it from the invoices and the headcount plan, but the salary lines are masked, so I can only add symbols:[AMOUNT-3f9c21][AMOUNT-8c11d4][AMOUNT-b7c045]I would rather say so than guess. I can finish it properly on the real figures, for how long should I be able to see them?
🔓 Unmask the currency figures to compute
why
reason over the real values while the deck stays masked
category
Monetary amount (AMOUNT) · your DPO granted this one to you
for how long
The ladder stops at your cap. A longer lift belongs to your DPO.

A staged illustration, with sample figures. Live on production today: the masked refusal, the DPO-granted category, the session-scoped lift, and the reveal event on the ledger. Planned (arc CONNMASK): the agent proposing the lift just-in-time with this duration ladder, and the active-grant line you can revoke from any surface.

Built for enterprise teams

Security, access, and oversight, by construction.

In KPMG's Q2 2026 pulse, 92% of US enterprise leaders named data security and privacy the top factor shaping their AI strategy (N=204, $1B+ organizations). These four cards are the answer.

Security & privacy

Host-side masking before any model call. Reversible placeholders, rehydrated only on your servers. The provider never sees a name.

See the masking walk →

Access & controls

Delegated access only: an agent reads what the person asking could read. Every grant expires; every consequential action can wait for a human yes.

How access is governed →

Monitoring & oversight

An append-only, hash-chained ledger under every turn. Framework readiness, control traces, and proof packs.

See the evidence →

Rules & budgets

Your policies, your approval gates and your spend caps are enforced before the model is called. An undeclared field defaults to masked.

See the control plane →
Framework readiness
ISO 42001ISO 27001GDPRSOC 2AICM
Sovereign

Yours, all the way down.

Bring your own models. Own your knowledge, your procedures, your evaluations, your learning data. Fine-tune your own intelligence. Run it on the harness and infrastructure you choose.

Masking, the ledger, and rehydration run on infrastructure you control. Raw personal data stays inside your perimeter, and you can prove it turn by turn.

your tenant your keys your models your learning data

Improve

Every month, your agents can do more than last month.

The corrections your team makes are the training. A job the workforce keeps getting right becomes an entry in your company library, and from then on every agent can run it, for a price you can see. Nothing enters the library on its own: the agents propose, a named person ratifies, and the learning stays your IP, on your soil.

131 jobs your agents can run today+6 this month94 skills · 34 workflows · 3 knowledge bases · sample data
SkillLearned from your work
Sales
Answer a pricing objection in your own words

Learned from 60 corrections your team made to the drafts it sent back.

Proposed by the agents, ratified by V. Lindt, DPO before any agent could run it.
$0.03 / runnew this month
WorkflowBuilt here, in Studio
Finance
Three-way match an invoice

Invoice against purchase order against receipt; the exceptions come to a person.

$0.11 / run96 runs / mo
Knowledge baseYours, from day one
Legal
Your contracts, answerable

Clause-numbered, so an answer lands on the exact clause and page.

groundingcited daily
The Receipt

Every job ends in a receipt.

One page a human can read. Sealed, signed, and ready for your auditor.

ZeroH · Job Receiptsample data
APPROVED · SENT

Send intro mail · Jonas W

“Hi Jonas, following our call with Vera Lindt, here is the proposal for Nordbank.”

Rehydrated at the gate; the mail left with real names.
A rejected hold NEVER rehydrates.

ZeroH Governed ✓ VERIFIED
  • Private data was masked before any AI saw it14 items protected · raw personal data reached the model: no
  • A person said yes before anything went outapproved by J. Weiss · the send waited 41 minutes for the decision
  • Real names were restored only after the yeson your servers · the AI provider never saw them
  • Sealed in the tamper-evident recordreceipt № 2481 · 17 Jul 2026, 12:41 · signed by your organization
Meets your frameworks
ISO 42001ISO 27001GDPRSOC 2AICM
$0.09what this run cost · metered, never estimated budget checked before it ran
Details for your auditor ↗
Enterprise

Your tenant. Your soil. Your rules.

ZeroH deploys from the Microsoft Marketplace onto your own Microsoft tenant. Masking, the signed ledger and rehydration run inside your perimeter. No raw personal data ever crosses to a model provider.

Deploy on your tenant, Microsoft MarketplaceTry free on SaaSpay-as-you-go AI usage
WHAT RUNS ON YOUR SOIL
  • →
    Masking gatewayPII becomes tokens like [CLIENT-4f9a21] before any model call.
  • →
    Signed audit ledgerAppend-only, tamper-evident, sealed with your organization’s key.
  • →
    Rehydration serviceReal names restored only after approval, only inside your tenant.
  • →
    Approval gatesOutbound sends wait in Teams for a human yes.
ISO 42001ISO 27001GDPRSOC 2AICMPROOF PACKS EXPORT PER FRAMEWORK

Rent the intelligence. Keep the learning.