Skip to content
aQentic

The runtime for your AI-native enterprise

Hype
actually delivered.

aQentic puts AI agents to work on your real processes, end to end: reading the request, checking the order, issuing the refund, updating the CRM, across the systems you already run. Every agent gets the context it needs, only the access it’s granted, and a person’s sign-off where it matters.

Request early accessExplore the platform
  • Runs on the systems you already have
  • Connects to anything, legacy included
  • Personal data never leaves your network
  • People sign off on what matters

01 / The problem

AI pilots keep stalling for the same three reasons.

  1. Bolted on, not built in. A chatbot beside a twelve-step process still leaves people copying data between tabs.

  2. Blind to the business. The right answer depends on the order in Shopify, the thread in Gmail and the contract in a PDF, and the AI can see none of them.

  3. Too risky to let loose. With no permissions, approvals or audit trail, nobody signs off on letting it act, so it never leaves the sandbox.

02 / AI-native

What changes when a process goes AI-native.

Most processes were designed around people clicking through software, and adding a chatbot beside them changes nothing. An AI-native process is rebuilt so agents run the work and people direct it, on the systems you already have. Process by process, that’s how a company becomes AI-native.

  • Who does the work

    TodayPeople copy data between systems and chase the next step.

    AI-nativeAgents execute the steps end to end. People make the calls that matter.

  • Where context lives

    TodayIn inboxes, spreadsheets and people’s heads.

    AI-nativeIn persistent, shared context that every agent works from.

  • How it’s controlled

    TodayInformal handoffs, checked after something goes wrong.

    AI-nativePermissions, approvals and an audit trail on every action.

  • How it improves

    TodayA process document nobody updates.

    AI-nativeEvery run is measured and evaluated, so the process gets better as it runs.

  • How it scales

    TodayMore volume means more handoffs and more headcount.

    AI-nativeMore volume means more agent runs, with people handling the exceptions.

03 / In practice

Real work, end to end. Not another chat reply.

Each of these is one whole process. An agent runs it across the tools your team already uses, a person signs off where the stakes are real, and every step lands in the audit trail.

Illustrative examples, not customer stories

  • Finance

    Month-end reconciliation

    Trigger The books close on the first of the month.

    1. Pulls payouts from Stripe and the bank’s statement export.
    2. Matches each one to invoices and journal entries in NetSuite, partial payments and currency differences included.
    3. Investigates every mismatch: finds the refund, the duplicate charge or the missing invoice, and attaches the evidence.
    4. Drafts the adjusting entries.

    Human checkpoint The controller approves entries above a set amount in Slack, with the evidence in front of them.

    Entries posted and every decision on the record. The team reviews the exceptions, not every line.

    • Stripe
    • Bank exports
    • NetSuite
    • Slack

  • Support & commerce

    A damaged-order return

    Trigger A customer emails a photo of a cracked item and asks for a refund.

    1. Reads the email and the photo, and finds the order in Shopify.
    2. Checks the shipment in ShipBob and the order against your return policy.
    3. Decides: inside the window and damaged in transit, so a full refund and a carrier claim, with no return needed.
    4. Drafts the reply in your brand’s voice.

    Human checkpoint Refunds over your limit wait for a teammate’s one-click approval in Slack.

    Refund issued, carrier claim filed, customer answered and HubSpot updated, in a single run.

    • Gmail
    • Shopify
    • ShipBob
    • Slack
    • HubSpot

  • Procurement

    Vendor onboarding into a legacy ERP

    Trigger A new supplier emails a W-9 and their bank details.

    1. Extracts the tax ID, address and bank details from the attachments.
    2. Validates the tax ID and screens the supplier against sanctions lists.
    3. Flags fraud patterns, such as bank details that don’t match the supplier’s country.
    4. Creates the vendor in a decades-old ERP through its terminal screens, because it has no API.

    Human checkpoint Finance confirms the bank details before the vendor can be paid.

    Vendor set up and documents filed, with nothing retyped by hand.

    • Outlook
    • Sanctions lists
    • Mainframe ERP
    • SharePoint

  • Sales

    Inbound lead to booked meeting

    Trigger A prospect fills in the demo form at 11pm.

    1. Researches the company and the person on the public web: size, tools, recent news.
    2. Scores the lead against your ideal customer profile and enriches the record in Salesforce.
    3. Drafts a first email that refers to what it found.
    4. Offers times from the rep’s calendar and books the meeting when the prospect picks one.

    Human checkpoint Reps approve the first email to strategic accounts; the rest go out on their own.

    A researched lead and a booked meeting by morning, every touch logged in the CRM.

    • Web forms
    • Public web
    • Salesforce
    • Google Calendar
    • Gmail

04 / Privacy

Your customers’ data never leaves your systems.

aQentic Edge is a privacy layer that runs inside your own network. Before any prompt goes to an AI model, it masks every piece of personal and sensitive data. When the answer comes back, it puts the real values back in. Agents work on real records, and the model only ever sees placeholders.

  • Nothing personal leaves

    Names, contact details, account numbers and anything else you mark as sensitive are replaced before a prompt crosses your network boundary.

  • The model still does its job

    Placeholders are consistent, so the model can still reason about who asked for what. It just never learns who they are.

  • Use any model

    Since what leaves is already clean, you can choose the best model for the task, hosted or your own, without a new privacy review each time.

One support email, through EdgeIllustrative · fictional data

  1. 01 · MaskInside your network

    The email that arrives

    Hi, this is Maria Okafor (maria.okafor@example.com, +44 7700 900123). Order #48213 arrived cracked. Please refund the card ending 4421.

    • Name → PERSON_1
    • Email → EMAIL_1
    • Phone → PHONE_1
    • Card → CARD_1

  2. 02 · ReasonAny AI model

    What the model receives

    Hi, this is [PERSON_1] ([EMAIL_1], [PHONE_1]). Order #48213 arrived cracked. Please refund the card ending [CARD_1].

    What it answers

    Refund order #48213 to the card ending [CARD_1]. Email [EMAIL_1]: “Sorry about that, [PERSON_1]. Your refund is on its way.”

  3. 03 · Re-identifyInside your network

    What the agent acts on

    Refund order #48213 to the card ending 4421. Email maria.okafor@example.com: “Sorry about that, Maria Okafor. Your refund is on its way.”

    Refund issued in Shopify · reply sent from Gmail

The table that links each placeholder to its real value is encrypted, never leaves your network and expires with the task. The model gets the problem it has to solve, and none of the personal data.

How Edge works

05 / Why aQentic

Why aQentic, and not another pilot.

Most AI projects stall between the demo and the real process. aQentic is built for everything that comes after the demo: access, context, control and proof.

  • It finishes the work

    Agents run the whole process, from the email that starts it to the record it updates, instead of suggesting a next step for someone else to do.

  • Nothing gets replaced

    Agents work in the software you already run. No migration, no new system of record, nothing new for the teams around them to learn.

  • Anything can be connected

    APIs where they exist; databases, files, browsers and terminal screens where they don’t. No connector yet? We write it.

  • Safe by construction

    Personal data is masked before any model sees it, every agent gets least-privilege access, a person approves wherever you set one, and every action is audited.

  • Proven before it’s live

    Agents are evaluated on your own past cases before they touch live work, and measured on every run after.

  • Every process makes the next easier

    Each new process reuses the connections, context and controls of the ones before it, so the second goes live faster than the first.

Compared with the usual alternatives

  • Chatbots and copilots

    Answer questions and suggest next steps. A person still does the work, in every system, by hand.

    aQenticAgents do the work across the systems, and a person approves what matters.

  • RPA scripts

    Replay recorded clicks. They break when a screen changes and stall on any case they weren’t scripted for.

    aQenticAgents reason about each case, and use the API, the browser or the screen, whichever fits.

  • Building it yourself

    An agent framework gives you a loop. You still build the integrations, permissions, approvals, monitoring and evaluations.

    aQenticAll of that is the platform, so your team builds the process, not the plumbing.

06 / The platform

One runtime under every AI-native process.

aQentic sits between your people, your agents and your systems. It gives agents the context, tools, permissions and human oversight to run real processes on the software you already have. Each layer builds on the one below it, the Control Plane governs all of them, and Edge makes sure personal data never leaves your network.

  1. Agents, integrations & pluginsMarketplaceAn ever-growing catalog of agents, integrations and pluginsOn the roadmap
  2. Processes, made executableWorkflowsYour business processes as agent workflows
  3. Execution & context engineAgent RuntimeRuns agents with context, memory and approvals
  4. Universal integration layerConnectGoverned access to any system, modern or legacy
The enterprise layerControl PlaneMonitoring, evaluation and governance across every layer
  • Agent monitoring
  • Evaluations
  • Cost & latency tracking
  • Permissions
  • Audit logs
  • Failure recovery
  • Human intervention
Privacy layer at the edgeEdgeMasks personal data before anything leaves your network

Your existing systems · 490+ cataloged, and anything else you run

  • Gmail
  • Microsoft Outlook
  • Slack
  • Microsoft Teams
  • Salesforce
  • HubSpot
  • Zendesk
  • Shopify
  • Amazon Seller Central
  • Stripe
  • ShipBob
  • ShipStation
  • Oracle NetSuite
  • SAP S/4HANA
  • QuickBooks Online
  • Workday HCM
  • Google Sheets
  • Notion
  • Jira
  • ServiceNow
  • Snowflake
  • Mainframes & terminal systems
  • 468 more

07 / Products

Everything an AI-native enterprise runs on.

The Agent Runtime is the core. Connect, Workflows and the Control Plane are built around it, Edge keeps personal data inside your network, and the Marketplace is where it keeps growing.

Execution & context engine

aQentic Agent Runtime

The runtime your AI-native processes run on.

The Runtime executes every agent step by step. It hands the agent the tools and context it needs, remembers what matters between runs, and stops for a person whenever an action needs sign-off. Everything else in aQentic is built around it.

  • Agent execution

    Runs multi-step agent tasks from trigger to finished outcome, not just a single chat reply.

  • Tool & browser access

    Agents call APIs and, where no API exists, work through a real browser on the same screens your team uses.

  • Persistent context

    Each task carries the customer, the order, the thread and the history it relates to, so agents act on the full picture.

  • Memory

    Agents keep what they learn across runs — preferences, past decisions, outcomes — scoped to the team and the task.

  • Human-in-the-loop approvals

    Mark any action as needing sign-off. The agent pauses, a person approves, edits or rejects, and the run continues.

  • Permissions & audit trails

    Each agent gets access only to the systems and actions it has been granted, and every step it takes is recorded.

Universal integration layer

aQentic Connect

If your business runs on it, we can integrate it.

Connect gives agents scoped access to any system your business runs on: through its API where one exists, and through its database, files, browser or screen where one doesn’t. If it exists, we can write the integration. A system connected once is available to every agent and workflow, under the same permissions.

Browse all 490 systems

Processes, made executable

aQentic Workflows

Turn any business process into an AI-native one.

Describe how the work gets done today — the steps, the systems, the judgment calls — and Workflows rebuilds it as an executable agent workflow. Agents take the execution, people keep the decisions that matter, and every checkpoint is explicit.

Example workflow: A return requestIllustrative

  1. Trigger

    A customer emails asking to return an order.

    Gmail

  2. Gather

    The agent finds the order and checks where the shipment is.

    Shopify · ShipBob

  3. Decide

    It checks the request against your return policy and drafts a resolution.

    Agent Runtime

  4. ApproveHuman checkpoint

    A teammate reviews the refund and approves it in Slack.

    Slack

  5. Act

    The agent issues the refund, replies to the customer and updates the CRM. Every step lands in the audit trail.

    Shopify · Gmail · HubSpot

The enterprise layer

aQentic Control Plane

See, measure and govern every agent in production.

One view of every agent for operations, security and engineering: what it’s doing, what it costs, how well it performs, and what it was allowed to touch. When something needs a person, this is where they step in.

Agent monitoring
A live view of every run: what each agent is working on, where it’s waiting, and what it has finished.
Evaluations
Score agents against real cases before release and keep scoring them after, so regressions surface early.
Cost & latency tracking
Spend and response time per agent, per workflow and per run.
Permissions
Grant and revoke each agent’s access to systems and actions from one place.
Audit logs
A record of every action, input and approval, kept for review.
Failure recovery
Failed steps retry or escalate to a person instead of failing silently.
Human intervention
Pause, take over or redirect any run while it’s in flight.

Privacy layer at the edge

aQentic Edge

Personal data never leaves your systems.

Edge runs inside your network, between your systems and any AI model. Before a prompt goes out, it finds personal and sensitive data and swaps it for placeholders. When the answer comes back, it puts the real values back in, so agents act on real records while the model only ever sees placeholders.

  1. Detect

    Finds names, emails, phone numbers, addresses, card and bank numbers, national IDs and health details, plus patterns you define, such as customer or policy numbers.

  2. Mask

    Swaps each value for a consistent placeholder, so the same customer is [PERSON_1] across a whole task, and the model can still follow who is who.

  3. Re-identify

    Puts the real values back into the model’s answer inside your network, only for actions the agent is allowed to take.

  4. Keep the key at home

    The table that links placeholders to real values is encrypted, stays inside your boundary and expires when the task does.

  5. Set the policy

    Choose per field and per system what to mask, remove completely or allow, such as first names for a friendlier support reply.

  6. Prove it

    Every masked field is logged in the Control Plane by type, never by value, so security teams can see exactly what left and what didn’t.

See one email go through Edge ↑

Agents, integrations & plugins

aQentic Marketplace

On the roadmap

An ever-growing marketplace of agents, integrations and plugins.

Where the platform is headed: one place to install specialized agents, connectors for new systems, and plugins that give agents new tools. Everything in it runs on the same Runtime, connects through Connect, and answers to the same Control Plane.

  • Specialized agents

    Ready-made agents for support, sales, operations and back-office work that you install and adapt instead of building from scratch.

  • Integrations

    Connectors that bring new systems into Connect, so the catalog keeps growing with every listing.

  • Plugins

    New tools, actions and skills that any agent on the Runtime can use, governed by the same permissions.

Support

  • Support Agent

    Resolves routine tickets and hands the rest to your team with the context attached.

  • Returns Agent

    Takes a return request from first email to finished refund.

Sales

  • Sales Research Agent

    Researches accounts and contacts and writes what it finds into your CRM.

Operations

  • Operations Agent

    Keeps orders, inventory and fulfillment moving across your ops tools.

Back office

  • Finance Reconciliation Agent

    Matches transactions across systems and flags what doesn’t reconcile.

  • Recruiting Agent

    Screens applicants, schedules interviews and keeps candidates informed.

08 / How it works

How a process becomes AI-native, one at a time.

  1. Map

    Pick one process and map how it runs today: the steps, the systems, the decisions and the people involved.

  2. Connect

    Link the systems it touches through aQentic Connect, with scoped credentials. No connector yet? We write one. Nothing gets replaced.

  3. Redesign

    Rebuild it as a Workflow: agents take the execution, people keep the judgment calls, and every checkpoint is explicit.

  4. Evaluate

    Run the agent against real cases before it touches live work, and see exactly where it holds up and where it doesn’t.

  5. Operate & expand

    Deploy on the Runtime, govern it in the Control Plane, then take the next process AI-native.

09 / Principles

Safe, reliable, practical — in that order.

These aren’t values on a wall. They’re built into the platform: they decide what an agent may do, when it has to stop and ask, and what we tell you when the honest answer is inconvenient.

  • Agents get human checkpoints where the stakes are real.

  • Least privilege by default: an agent touches only the systems and actions it has been granted, and every action is on the record.

  • We evaluate before we deploy, not after.

  • AI-native doesn’t mean rip and replace. Agents work with the software you already run.

  • We tell you plainly what an agent can and can’t do — no overselling capability to close a deal.

  • We’d rather ship something smaller that works than something impressive that doesn’t.

10 / Vision

Every company will run AI-native, one process at a time.

aQentic exists to close the gap between an AI demo and an AI-native business. We watched too many initiatives stall because they bolted AI onto processes designed for people clicking through software, and the missing pieces were always the same: context, access, permissions and oversight. So we’re building them once, as a runtime.

That change won’t happen all at once. It will happen process by process, and we see aQentic as the runtime it happens on: the infrastructure layer where companies deploy, monitor and manage specialized agents across support, sales, operations and back-office work. That’s the whole premise: hype actually delivered.

11 / Early access

Ready to take your first process AI-native? Let’s talk.

Tell us about one process you’d hand to an agent if you could trust it. We’ll tell you plainly whether aQentic can run it, and what it would take.

What happens next

  1. We read every request ourselves, not a bot.
  2. We meet to walk through the process: the steps, the systems, the judgment calls.
  3. We tell you plainly whether we can run it, and what it would take.
  1. 01
  2. 02
  3. 03

Step 1 of 3: Who should we reply to?

We use these details only to reply to you. No newsletter, and nothing is shared.