getAdvantage

01The control layer for agents

From reactive to proactive agents.

Agents that act need read and write access to your systems. getAdvantage grants it, under your policies, with proof. Open source core, runs in Claude Code, Cursor and CI.

  • Today

    Reactive

    Agents chat. People copy, paste and do the work.

  • getAdvantage

    Governed access

    Read and write by policy. Approval runs as an agent, in seconds.

    1. proposed
    2. policy checked
    3. approved
    4. proof recorded
    • Policy checkLIVE
    • Proof recordLIVE
    • Approval agentIN BUILD
  • Tomorrow

    Proactive

    Agents act on your systems, approved and proven. You see the payoff.

02The problem

Agents multiplied. Human approval did not.

Every action an agent could take waits on a yes. One reviewer, six approvals a morning. The rest waits, or never happens.

Agent actions waiting for a yes

A wall of agent actions waiting for approval. Only the first six are approved; the rest stay dim.

Who approves today

One reviewer. Six approvals a morning.

  • Agentic AI Foundation, Linux Foundation, December 2025MCP is the one open standard for agents to act, backed by OpenAI, Google, Microsoft and AWS since December 2025.
  • Gartner, June 2025Over four in ten agentic AI projects will be cancelled by the end of 2027, over cost, unclear value or inadequate risk controls.
  • UAE Cabinet, April 2026Half of federal government sectors and operations to run on agentic AI within two years.
See how the yes runs as an agent.

03What changes

Let your agents act.

Agents stay reactive until someone can safely say yes.

Why agents stay reactive

How getAdvantage makes them proactive

Agents get no write accessSo people copy, paste and do the work themselves.
Read and write by policyWhich data, which action, who approves. Inside your environment.LIVE
Every action waits for a humanNobody trusts the agent, so a person checks each step.
Approval runs as an agentYour policies decide in seconds. Exceptions reach people.IN BUILD
Nobody can prove what agents didNo record of model, data or approver, so no sign-off.
A proof record per actionModel, data, approver, outcome. Ready for board and regulator.LIVE
Blocked AI moves to private chat toolsStaff paste company data into personal accounts.
One approved path for everyoneSame policies, same proof. Nothing leaves your environment.LIVE
Every new model restarts reviewEach vendor change reopens the whole access review.
Policies outlive the modelSame rules and proof, whichever model. Swap freely.IN BUILDmodel router

Approval runs as an agent, on your policies, with proof.

04The routine

Approval runs as an agent.

approval agentIN BUILD

Every read and write travels the same six stations, in seconds.

Every action, one routine
proof record · /v/1u1g0s4t493q1yLIVE
action
Ship Verified check
system
getadvantage.app
data
public pages only, fetched 7 Sept 2026
checks
seven run, deterministic
outcome
seven passed
record
public, exportable, badge issued
ONE RECORD PER ACTION · OPEN AT /v/1u1g0s4t493q1y

Seconds per action, thousands a day.

Open a real proof record

05The category

Everyone logs agents. Nobody says yes with proof.

Gateways route the call. Security tools block. Consoles report after the fact. getAdvantage approves each action by your policy and proves it, on top of what you already own.

  • Route

    Send the call to a model. Guardrails on the prompt.

    AI gateways

  • Block

    Stop attacks and unknown agents. Decide who the agent is.

    Agent security and identity

  • Report

    Log what happened. Dashboards after the fact.

    Governance and vendor consoles

  • getAdvantage

    Approve
    and prove

    A yes for each action, by your policy, with a proof record. Any model, in your environment.

    Runs on top of what you own. Gateway, identity and audit stay.

No lab is the neutral judge of its own agents.

How it fits your stack

06Where it sits

One control layer. Everything else stays yours.

Claude Code, Cursor, CI and any MCP agent in. Any model out. Your pipelines, ERP, CRM, core banking and documents below. On premise, your cloud, or a sovereign stack.

AI agentswhere the work starts
  • Claude Code
  • Cursor
  • CI pipelines
  • Business agents
  • Any MCP agent
Control layergetAdvantage
getAdvantage

open source core, enterprise features licensed

in: MCP, CLI, APIout: model and system APIs

  • Policy engineLIVE

    Read and write by policy. Checked before it runs.

  • Approval agentIN BUILD

    Decides in seconds. Exceptions to people.

  • Proof ledgerLIVE

    One record per action. Audit export.

  • Model routerIN BUILD

    Policies outlive the model.

  • Regional rule packsIN BUILD

    PDPL, NCA, EU AI Act.

  • CockpitLIVE

    Policies, approvals, proof.

Modelschosen by policy
  • OpenAI
  • Anthropic
  • Google
  • Open models
  • Sovereign
Source systemswhat agents read and write
  • ERP
  • CRM
  • Core banking
  • Databases
  • Documents
Infrastructurewhere it runs
  • On premise
  • Your cloud
  • Sovereign stack

Runs in your environment. Data stays in your systems. Export any time.

Reference architecture on request
  • knownWhere it runsYour environment. On premise, your cloud, a sovereign stack.
  • knownWhat leavesNothing. Data stays in your systems.
  • configuredWho approvesYour policies. Exceptions reach the people you name.
  • knownWhat you exportEvery proof record, any time.
  • unknownWhat we do not know yetYour systems and rule packs, until the first workflow runs.

07The cockpit

See where agents pay off.

Every approved action feeds the cockpit: what ran, what it cost, what it saved, where to act next.

cockpit.yourcompany.internaldesign preview, illustrative numbers
getAdvantage
  • Overview
  • Departments
  • Agents
  • Model policy
  • Data rules
  • Approvals
  • Proof ledger
  • Regional packs
  • Audit export

Agents pay off · this month

1,710 hsaved

Hours your people got back, every one with proof.

What it cost

$6.0kmodel spend

Every call metered under policy.

Every action safe

100%with proof

  • Risky actions stopped before harm
  • No record left behind

Where agents pay off

hours saved this month · dashed = no agents yet

  • Customer supportticket to resolution
  • Financeinvoice to pay
  • Engineeringchange to production
  • Saleslead to order
  • HRhire to onboard
  • Procurementrequest to order · no agents yet
  • Legaldraft to signature · no agents yet

Where to act next

  • Scale

    Customer support pays off. Add the returns process.

  • Fix

    Sales escalates too often. Tighten the export policy.

  • Save

    Engineering: route code review to a cheaper model.

  • Start

    Procurement and legal: no agents yet. Largest open potential.

Proof ledger LIVEApprovals LIVEValue by department IN BUILDSlack or Teams approvals IN BUILD

Policies, approvals and proof live. Value by department in build.

08How you start

Open source core. Team. Enterprise.

Runs in Claude Code, Cursor and CI. Pricing on request.

IN BUILD

Enterprise

Licence per pipeline or agent

  • Approval agent
  • Rule packs
  • Sovereign

We run the first workflow through it with your team.

Talk to us

Free to adopt. Paid to approve and prove.

09The people

Built by the people you talk to.

One working session, thirty minutes. We show one of your workflows running under policy, with proof, and what it costs.

  • Benjamin Hellmich

    Benjamin Hellmich

    Founder and CEO

    Dubai

  • Dr. Syed Fawad Ali

    Dr. Syed Fawad Ali

    CTO

    Riyadh

  • Marc Lindner

    Marc Lindner

    Co-founder and CGO

    Hamburg

Or meet in person

  • Ai EverythingAbu Dhabi, 6 to 7 October 2026
  • MWC DohaDoha, 8 to 10 November 2026
  • GITEX GlobalDubai, 7 to 11 December 2026
  • Web Summit QatarDoha, 31 January to 3 February 2027

Talk to us

Book 30 minutes.

Answer within one business day.

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A managed pilot scoped to one real workflow.